{"id":8195,"date":"2026-07-31T08:08:22","date_gmt":"2026-07-31T08:08:22","guid":{"rendered":"https:\/\/business-analyst.com.ua\/?p=8195"},"modified":"2026-07-31T08:08:22","modified_gmt":"2026-07-31T08:08:22","slug":"rewiring-thought-the-modern-landscape-of-targeted-neuromodulation","status":"publish","type":"post","link":"https:\/\/business-analyst.com.ua\/?p=8195","title":{"rendered":"Rewiring Thought: The Modern Landscape of Targeted Neuromodulation"},"content":{"rendered":"<p>Understanding Non Invasive Brain Stimulation Techniques and Their Practical Uses<br \/>\n<img decoding=\"async\" class='wp-post-image' style='display: block;margin-left:auto;margin-right:auto;' width=\"605px\" alt=\"Non invasive brain stimulation techniques\" 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\"\/><\/p>\n<p>When cognitive decline, stubborn depression, or chronic pain resists traditional treatments, you may feel stuck and hopeless. Non invasive brain stimulation techniques offer a gentle alternative by using targeted magnetic or electrical fields to modulate neural activity without surgery or recovery time. This approach can help rebalance disrupted brain circuits, often improving mood, focus, and motor function with minimal side effects. By working directly with your brain\u2019s natural plasticity, these techniques empower you to regain control over symptoms that once felt unchangeable.<\/p>\n<h2>Rewiring Thought: The Modern Landscape of Targeted Neuromodulation<\/h2>\n<p><strong>Rewiring Thought: The Modern Landscape of Targeted Neuromodulation<\/strong> hinges on non-invasive techniques that deliver precise electrical or magnetic fields to specific cortical regions, enabling users to transiently alter neural excitability. Transcranial direct current stimulation (tDCS) modulates resting membrane potentials, while repetitive transcranial magnetic stimulation (rTMS) uses focused pulses to induce longer-lasting synaptic plasticity. These methods allow for direction-specific changes\u2014either enhancing or suppressing activity in circuits tied to attention, memory, or mood. Practical protocols require individualized electrode placement and dosage, as response thresholds vary across brain state and anatomy. <\/p>\n<blockquote><p>The core practical shift is that users can now target symptom-relevant networks\u2014like the dorsolateral prefrontal cortex\u2014with millimetric precision, without sedation or surgical risk.<\/p><\/blockquote>\n<p> Real-time feedback from EEG or functional near-infrared spectroscopy can refine stimulation parameters, making the rewiring process iterative and adaptive rather than a one-size-fits-all application.<\/p>\n<h3>Understanding the Core Mechanisms Behind Transcranial Magnetic Stimulation<\/h3>\n<p>Transcranial magnetic stimulation (TMS) operates via electromagnetic induction, where a rapidly changing magnetic field passes unimpeded through the scalp and skull to generate a localized electric current in cortical tissue. This current depolarizes neuronal membranes, triggering action potentials in targeted circuits, primarily beneath the coil. The core mechanism involves modulating cortical excitability: high-frequency repetitive TMS typically increases excitability, while low-frequency protocols suppress it. This bidirectional shift arises from synaptic plasticity mechanisms, including long-term potentiation and depression. By precisely timing pulses, TMS can influence functional connectivity within networks, altering how brain regions communicate, which is the foundation of its therapeutic and investigative utility.<\/p>\n<blockquote><p>At its essence, TMS converts magnetic pulses into intracranial electrical currents, leveraging frequency-dependent plasticity to either upregulate or downregulate targeted cortical circuits.<\/p><\/blockquote>\n<h3>Contrasting Repetitive and Theta-Burst Protocols for Clinical Gains<\/h3>\n<p>Contrasting repetitive transcranial magnetic stimulation (rTMS) with theta-burst stimulation (TBS) reveals distinct clinical trade-offs. Standard rTMS, typically delivered at 1\u201310 Hz for 20\u201340 minutes, induces longer-lasting aftereffects via conventional plasticity, but its daily time burden limits patient throughput. Intermittent TBS (iTBS) compresses excitatory protocols to ~3 minutes yet requires precise coil targeting <a href=\"https:\/\/www.thync.com\">http:\/\/www.thync.com<\/a> to avoid subthreshold efficacy. Continuous TBS (cTBS) offers inhibitory gains, though its duration of clinical effect is often shorter. For depression, <strong>iTBS is FDA-cleared with comparable efficacy to 10-Hz rTMS<\/strong>, while cTBS shows promise in post-stroke spasticity. Practically, TBS suits high-volume clinics, whereas rTMS remains robust for cases needing prolonged synaptic modulation. Individual cortical excitability\u2014assessed via motor threshold\u2014dictates which protocol yields <mark>durable clinical gains<\/mark> with minimal habituation.<\/p>\n<table>\n<tr>\n<th>Protocol<\/th>\n<th>Duration<\/th>\n<th>Primary Gain<\/th>\n<th>Limitation<\/th>\n<\/tr>\n<tr>\n<td>rTMS (1\u201310 Hz)<\/td>\n<td>20\u201340 min<\/td>\n<td>Prolonged aftereffects<\/td>\n<td>High time burden<\/td>\n<\/tr>\n<tr>\n<td>iTBS<\/td>\n<td>~3 min<\/td>\n<td>Rapid excitatory gain<\/td>\n<td>Targeting sensitivity<\/td>\n<\/tr>\n<tr>\n<td>cTBS<\/td>\n<td>~40 s<\/td>\n<td>Inhibitory modulation<\/td>\n<td>Shorter clinical window<\/td>\n<\/tr>\n<\/table>\n<h3>Navigating Safety Protocols and Contraindications in TMS Delivery<\/h3>\n<p>Effective <strong>TMS delivery hinges on rigorous pre-treatment screening<\/strong> to identify absolute contraindications, chiefly ferromagnetic implants in the head or neck and a history of seizures, which elevate pro-convulsant risk. Practical protocol mandates mapping the resting motor threshold to calibrate intensity per individual cortical excitability, reducing inadvertent overstimulation. Clinicians must monitor for emerging adverse effects like scalp discomfort or transient hearing changes, adjusting coil positioning or pulse parameters promptly. For patients on CNS-active medications that lower seizure threshold, a risk-benefit discussion precedes session one, with emergency protocols\u2014including seizure termination plans\u2014readied before each pulse train. Continuous cognitive and mood assessment throughout the course ensures early detection of neuropsychiatric shifts, allowing dose modification or cessation before complications escalate.<\/p>\n<blockquote><p>Screening for metallic implants, seizure history, and medication interactions, paired with threshold-calibrated dosing and continuous monitoring, form the non-negotiable safety backbone of every TMS session.<\/p><\/blockquote>\n<h2>Harnessing Direct Current: A Deep Dive into tDCS Applications<\/h2>\n<p><strong>Harnessing Direct Current: A Deep Dive into tDCS Applications<\/strong> centers on delivering a low, constant electrical current (1\u20132 mA) through scalp electrodes to modulate cortical excitability. Unlike other non-invasive brain stimulation techniques that trigger action potentials, tDCS alters the resting membrane potential, making neurons more or less likely to fire. Practically, anodal stimulation over the motor cortex enhances learning and motor skill acquisition, while cathodal stimulation can reduce overactive cortical regions, aiding in chronic pain management. For cognitive enhancement, montage placement\u2014such as the left dorsolateral prefrontal cortex for working memory\u2014is critical. Optimal protocols require ramping current up gradually to prevent phosphenes or skin itching, and using saline-soaked sponges ensures consistent conductivity. When applied correctly, <strong>tDCS applications<\/strong> offer a safe, portable, and reproducible method for neuromodulation, particularly effective for depression and stroke rehabilitation when combined with targeted behavioral training.<\/p>\n<h3>Anodal vs. Cathodal Polarity: How Charge Direction Alters Cortical Excitability<\/h3>\n<p>In tDCS, <strong>charge direction dictates cortical fate<\/strong>. Anodal stimulation typically depolarizes resting membrane potentials, making neurons more likely to fire and boosting cortical excitability, which is ideal for motor learning or cognitive enhancement. Conversely, cathodal polarity hyperpolarizes neurons, suppressing spontaneous firing and dampening excitability\u2014useful for reducing overactive circuits in chronic pain or epilepsy. To apply this correctly, you must remember: (1) Place the anode over the target region to enhance activity; (2) Place the cathode over the same target to inhibit it; (3) Expect effects to be polarity-specific but also montage-dependent, as the return electrode\u2019s position shifts current flow and thus the ultimate excitability shift.<\/p>\n<h3>High-Definition tDCS: Focal Precision Over Traditional Sponge Electrodes<\/h3>\n<p>High-Definition tDCS replaces large sponge pads with an array of small, gel-based electrodes, typically arranged in a 4&#215;1 ring around a central target. This configuration dramatically increases spatial precision, confining the current to a specific cortical region rather than allowing diffuse flow across broad areas. The compact electrode layout achieves <strong>focal neuromodulation with sharper boundaries<\/strong>, reducing unintended stimulation of adjacent brain networks. For users, this means more reliable outcomes in tasks like motor cortex mapping or targeted cognitive enhancement, where conventional sponges often produce overlapping, unpredictable current distributions. Practical considerations include longer setup time and the need for precise placement, but the result is a more reproducible, research-grade intervention.<\/p>\n<h3>At-Home Devices vs. Clinical Systems: Efficacy and Regulatory Caveats<\/h3>\n<p>Consumer <strong>tDCS devices diverge sharply from clinical systems in both output precision and safety oversight<\/strong>. Clinical units employ current-controlled stimulation with verified impedance monitoring and built-in ramping algorithms, whereas many at-home kits rely on voltage-controlled circuits that produce unpredictable current densities due to skin resistance variability. This discrepancy directly impacts efficacy: a clinical montage calibrated for 2 mA can deliver as little as 0.8 mA through a home electrode with poor contact, nullifying intended cortical excitability shifts. Regulatory caveats follow this divide\u2014home devices are often cleared as \u201cgeneral wellness\u201d products, bypassing the rigorous dose-finding studies required for medical systems. Consequently, users risk subthreshold stimulation or localized skin burns without the clinical fail-safes. Practical implications:<\/p>\n<ol>\n<li>Verify actual delivered current via a multimeter, not panel readouts.<\/li>\n<li>Use pre-gelled electrodes with high adhesion to stabilize impedance.<\/li>\n<li>Never extrapolate clinical protocols\u2014reduce session duration by 30% for home setups.<\/li>\n<\/ol>\n<h2>Alternating Currents and Random Noise: Emerging Electrical Paradigms<\/h2>\n<p><strong>Alternating Currents and Random Noise<\/strong> are redefining <strong>non-invasive brain stimulation techniques<\/strong> by offering frequency-specific modulation without the phasic \u201cpulse\u201d of tDCS. For practical use, <mark>transcranial alternating current stimulation (tACS) entrains endogenous oscillations<\/mark>\u2014e.g., 40 Hz gamma for working memory\u2014while <strong>transcranial random noise stimulation (tRNS)<\/strong> applies a broad-spectrum signal (0.1\u2013640 Hz) that lowers cortical excitability thresholds, often making it more comfortable and less prone to adaptation. In clinical practice, tRNS over the dorsolateral prefrontal cortex shows promise for depression and chronic pain, whereas tACS is better suited for phase-aligned tasks like motor learning if you target the M1 at individual alpha frequency. Always start with low amplitudes (1\u20132 mA peak-to-peak) and ramp up slowly; random noise is particularly useful when you need to \u201cwash out\u201d conscious sensation while still achieving suprathreshold effects on neural firing.<\/p>\n<h3>tACS and Brainwave Entrainment: Synchronizing Neural Oscillations for Memory<\/h3>\n<p>With tACS, you\u2019re not just zapping the brain\u2014you\u2019re gently pushing its natural rhythm via <strong>synchronizing neural oscillations for memory<\/strong>. By applying a weak alternating current at a specific frequency (like theta for encoding or gamma for binding), the device coaxes your brainwaves to align with that beat. For memory, you\u2019d typically target the hippocampus or prefrontal cortex. The practical sequence: 1) choose your memory goal (e.g., recall vs. consolidation), 2) match the tACS frequency to that state (e.g., 5\u20137 Hz for working memory), 3) run a session for 10\u201320 minutes during a task or right after learning. Many users report sharper recall when entrainment overlaps with active rehearsal\u2014think of it as a tempo-keeper for your neurons.<\/p>\n<h3>tRNS: The Role of Stochastic Resonance in Perceptual and Motor Learning<\/h3>\n<p>In tRNS, <strong>stochastic resonance<\/strong> is leveraged by injecting high-frequency random noise into the brain, paradoxically enhancing weak neural signals rather than disrupting them. For perceptual learning, this noise amplifies subthreshold sensory inputs, improving visual discrimination and tactile acuity, as shown in studies where tRNS outperforms anodal tDCS on contrast detection. In motor learning, the same mechanism boosts corticospinal excitability, accelerating skill acquisition and retention, particularly for complex sequential tasks. You apply tRNS during task performance, not before, to modulate ongoing oscillations. The <mark>noise ceiling effect<\/mark> means optimal current intensities exist\u2014too low fails to engage resonance, too high overwhelms the system. This makes tRNS uniquely suited for rehabilitation where residual neural capacity remains accessible.<\/p>\n<blockquote><p>tRNS improves perceptual and motor learning by using random noise to boost weak signals via stochastic resonance, requiring task-timed application and optimal amplitude for efficacy.<\/p><\/blockquote>\n<h3>Comparative Efficacy: When to Choose Oscillatory Over Constant Stimulation<\/h3>\n<p>Choosing between oscillatory (tACS) and constant (tDCS) stimulation hinges on the target neural state. Oscillatory protocols excel when you need to entrain ongoing brain rhythms\u2014for example, boosting gamma during working memory tasks, where tDCS\u2019s tonic shift lacks temporal precision. Conversely, constant stimulation suits prolonged cortical excitability shifts, as in motor recovery, where a steady polarization outperforms phase-locked inputs. <strong>Comparative efficacy of oscillatory over constant stimulation<\/strong> is most evident in closed-loop settings: if your outcome depends on synchronizing with endogenous oscillations (e.g., sleep spindles), tACS is superior; if you seek a baseline threshold change, tDCS wins. <em>The critical distinction is whether you intend to modify timing or merely bias excitability.<\/em> Q: When should you choose oscillatory over constant stimulation? A: Choose oscillatory when the task requires phase-specific modulation of ongoing rhythms, since constant stimulation cannot align with neural firing patterns.<\/p>\n<h2>Focused Ultrasound: The Acoustic Frontier of Deep-Brain Access<\/h2>\n<p>Focused ultrasound carves a path where other non-invasive brain stimulation techniques, like TMS or tDCS, fall short\u2014it reaches deep structures without scattering through the skull. By concentrating acoustic energy on a millimeter-scale target, it can transiently open the blood-brain barrier or modulate neuronal firing in the thalamus or basal ganglia, offering tremor relief or mood-circuit adjustment that surface-level currents cannot touch. Unlike electrical or magnetic fields, which weaken with depth, ultrasound\u2019s mechanical waves retain precision, making it the only truly deep-brain access that leaves no incision. <strong>Can you feel it during a session?<\/strong> Most people report only a subtle warmth or pressure, not pain, though the real action happens silently, beneath conscious perception. For a patient with treatment-resistant depression, this means a single 20-minute sitting could shift a faulty circuit, not by shocking the cortex but by whispering to the ancient, buried limbic core.<\/p>\n<h3>Low-Intensity vs. High-Intensity Sonication in Neurological Care<\/h3>\n<p>In neurological care, the distinction between low-intensity and high-intensity sonication defines therapeutic intent. <strong>Low-intensity focused ultrasound<\/strong> operates below thermal thresholds, transiently modulating neuronal membrane excitability and synaptic transmission, enabling reversible blood-brain barrier opening for targeted drug delivery or neuromodulation in awake patients, with minimal tissue damage. Conversely, high-intensity sonication generates controlled thermal ablation, precisely destroying pathological foci like tremor-generating thalamic nuclei, offering immediate symptom relief without incision. The clinical decision hinges on pathology: low-intensity suits functional conditions requiring plasticity or chronic intervention, while high-intensity suits discrete lesions. Each protocol demands distinct imaging-guided targeting, and patient tolerance differs, with <mark>sonication parameters<\/mark> directly affecting safety margins and procedural outcomes.<\/p>\n<h3>Sonogenetics and the Promise of Cell-Specific Modulation<\/h3>\n<p>Sonogenetics refines focused ultrasound by targeting specific neuronal populations, not just broad anatomical regions. This technique introduces mechanically-sensitive ion channels into selected cells, which then respond exclusively to low-intensity acoustic waves. The critical advantage lies in its cellular precision: only genetically modified neurons activate, sparing neighboring tissue and reducing off-target effects. This allows for highly selective deep-brain circuit manipulation without surgical penetration. <em>Because the ultrasound focus can be dynamically steered, sequential activation of different cell types becomes possible within a single session, offering a temporal dimension to intervention that pharmacological or optogenetic methods struggle to achieve.<\/em> For practical application, this means conditions like Parkinson\u2019s or chronic pain could theoretically be treated by silencing only pathological firing patterns while preserving healthy signaling. <strong>Cell-specific sonogenetic modulation<\/strong> thus bridges the gap between global ultrasound exposure and molecular-level control, making it a pivotal tool for noninvasive, bespoke neurological therapy.<\/p>\n<h3>Breaking the Blood-Brain Barrier: Therapeutic Implications for Drug Delivery<\/h3>\n<p>Focused ultrasound offers a way to gently open the blood-brain barrier (BBB) at precise spots, letting medications reach brain tissue that\u2019s normally off-limits. This isn\u2019t about surgery\u2014microbubbles injected into the bloodstream vibrate with the ultrasound waves, temporarily creating tiny gaps in the barrier. For you, that means conditions like Alzheimer\u2019s, Parkinson\u2019s, or brain tumors could be treated with lower drug doses, since more of the medicine gets where it needs to go. The effect is reversible, typically sealing back up within hours, which keeps the process safe. The practical sequence for a session usually involves: first, mapping the exact target area with MRI; then, injecting microbubbles intravenously; next, applying focused ultrasound pulses to that target; and finally, delivering the therapeutic drug while the barrier is open. This approach gives you a <strong>targeted, noninvasive method for enhancing brain drug delivery<\/strong>, potentially reducing side effects compared to high-dose systemic treatments.<\/p>\n<h2>Optogenetics and Beyond: Translational Gaps Between Animal Models and Human Use<\/h2>\n<p>Optogenetics promises cell-type specificity that non-invasive brain stimulation (NIBS) methods like TMS or tES cannot match, yet its translational gap is brutal: rodent skull thickness and light penetration bear little resemblance to the human cortex, where viral vector delivery and opsin expression face immune barriers and depth limits. While NIBS modulates broadly, optogenetics requires invasive implants\u2014so bridging the gap means hybrid approaches, such as using NIBS to prime neural circuits before optical intervention, but safety profiles for chronic human use remain unvalidated. <strong>Can optogenetics ever become truly non-invasive?<\/strong> Currently, no\u2014red-shifted opsins and ultrasound-mediated gene delivery are experimental, but they still require genetic modification, unlike purely physical NIBS. Until safe, reversible gene targeting in humans is proven, optogenetics remains a preclinical tool whose mechanistic insights refine NIBS parameters, not a replacement.<\/p>\n<h3>Developing Viral Vectors for Safe Opsin Expression in Primate Brains<\/h3>\n<p>When moving optogenetics toward primate brains, the real bottleneck is <strong>safe opsin expression via viral vectors<\/strong>\u2014getting enough light-sensitive protein into neurons without triggering toxicity or immune responses. Adeno-associated viruses (AAVs) remain the workhorse, but you need to pick serotypes that cross the blood-brain barrier efficiently in macaques, not just rodents. Promoter choice matters too: human synapsin or CaMKII\u03b1 keeps expression neuron-specific, while enhancers like the PHP.eB variant boost cortical coverage. *Dose titration is everything\u2014too much vector causes off-target glial transduction and inflammation, while too little yields weak photocurrents that fail to drive behavior.* For practical use, combine retro-orbital injection with focused ultrasound to transiently open the barrier, then verify expression via immunohistochemistry before behavioral testing.  <\/p>\n<p><strong>Q: What\u2019s the safest viral route for primate opsin delivery?<\/strong><br \/>\nA: Right now, systemic AAV9-PHP.eB with focused ultrasound is the most practical\u2014it avoids invasive craniotomies and gives you bilateral cortical spread, but you must monitor liver and retinal off-targets for months.<\/p>\n<h3>Alternatives to Light: Chemogenetics (DREADDs) in Behavioral Research<\/h3>\n<p>When light-based control proves impractical in freely moving models, <strong>chemogenetic DREADD modulation<\/strong> offers a reliable alternative by leveraging engineered receptors activated exclusively by inert ligands like clozapine-N-oxide. This approach bypasses optical hardware, allowing researchers to manipulate neural circuits across extended behavioral epochs\u2014hours or days\u2014without tethering or phototoxicity. DREADDs integrate seamlessly with systemic drug delivery, enabling reversible silencing or excitation during complex social, feeding, or fear-conditioning paradigms. Unlike optogenetics, which demands invasive fiber implants, chemogenetics preserves tissue integrity and supports longitudinal studies in the same animal. For translational behavioral research, this method bridges the gap between acute stimulation and chronic neural state changes, making it a practical choice when temporal precision is secondary to sustained, circuit-wide intervention.<\/p>\n<ul>\n<li>Use systemic ligand injection, eliminating need for implanted optical fibers<\/li>\n<li>Enable multi-hour or multi-day neural manipulation within a single behavioral session<\/li>\n<li>Allow repeated testing across weeks due to minimal tissue damage<\/li>\n<li>Pair with calcium imaging or electrophysiology for chronic readouts<\/li>\n<\/ul>\n<h3>Ethical Considerations for Invasive Gene Therapy in Psychiatric Trials<\/h3>\n<p>Invasive gene therapy for psychiatric conditions demands a distinct ethical framework, separate from noninvasive brain stimulation, because its permanence and cellular-level targeting amplify risks of unforeseen psychological alteration. The core dilemma is <strong>capacity for true informed consent<\/strong> when the trial population often has impaired decision-making during acute episodes, yet the intervention\u2019s effects are irreversible. Unlike rTMS or tES, you cannot simply \u201cturn off\u201d a genetic edit if adverse mood changes or identity shifts emerge. Therefore, trial protocols must mandate longitudinal, independent psychiatric monitoring, with pre-specified criteria for compassionate withdrawal that acknowledge the impossibility of reversing the edit itself. *A patient\u2019s momentary improvement cannot ethically justify overriding their pre-recorded, baseline values regarding personal autonomy.* Furthermore, the placebo-controlled design is nearly impossible; sham surgeries for gene delivery raise procedural harm without therapeutic intent, forcing reliance on open-label or staggered dosing, which complicates causal attribution. Equally pressing is the risk of \u201ctherapeutic misconception,\u201d where patients conflate cellular alteration with a cure for social or environmental distress, leading to unrealistic expectations that skew trial outcomes. Ultimately, the ethics must prioritize harm minimization over efficacy metrics, recognizing that a failed trial could leave permanent neuropsychiatric consequences no noninvasive alternative would ever accept.<\/p>\n<h2>Tailoring Stimulation to Individual Neuroanatomy<\/h2>\n<div style=\"text-align:center\">\n<iframe loading=\"lazy\" width=\"562\" height=\"312\" src=\"https:\/\/www.youtube.com\/embed\/y9YGetUsXE8\" frameborder=\"0\" alt=\"Non invasive brain stimulation techniques\" allowfullscreen><\/iframe>\n<\/div>\n<p><strong>Tailoring stimulation to individual neuroanatomy<\/strong> means using your own brain\u2019s MRI or EEG to guide where the electrodes or coils sit. Instead of a one-size-fits-all hotspot, you map your motor cortex or prefrontal cortex precisely, so the current hits the target rather than missing by a centimeter. That matters because skull thickness, sulci shape, and even cerebrospinal fluid shift the field\u2014what works for a friend might do nothing for you. <\/p>\n<blockquote><p>Personalized targeting often doubles the effect size compared to generic placement, especially for tDCS and TMS.<\/p><\/blockquote>\n<p> Practically, this means asking your clinician for neuronavigated systems, or at least a 10\u201320 EEG-based map, before any session. You\u2019ll feel more consistent results and fewer \u201cno-response\u201d days.<\/p>\n<h3>Neuro-navigated Targeting: Using MRI and fMRI for Personalized Coil Placement<\/h3>\n<p>Instead of guessing where to stimulate, neuro-navigated targeting uses your own MRI to map the exact brain geography. For TMS, this means the coil isn\u2019t placed by measuring from the scalp\u2014it\u2019s positioned based on your unique sulci and gyri. fMRI adds another layer, showing which regions actually activate during a task, so you can aim at the *functional* hotspot, not just the anatomical one. This personalized coil placement cuts down on session-to-session variability and makes each pulse more consistent. It\u2019s like using a GPS instead of a paper map\u2014you get where you need to go faster and with fewer wrong turns.<\/p>\n<blockquote><p>Neuro-navigated targeting turns generic stimulation into a bespoke map, using your MRI and fMRI to place the coil precisely where your brain needs it most.<\/p><\/blockquote>\n<h3>Computational Head Models for Predicting Current Flow Distribution<\/h3>\n<p>Computational head models translate raw neuroanatomy into a precision map of stimulation, predicting exactly where current density will peak before a single pulse is delivered. By converting an individual\u2019s MRI into a 3D electrical conductivity matrix, these models simulate how gray matter, cerebrospinal fluid, and skull thickness deflect and attenuate the applied field. This allows clinicians to pre-emptively adjust electrode montages, avoiding hotspots that could cause discomfort and steering energy toward a hypoactive target. Crucially, models reveal how a response is shaped by a person\u2019s unique gyral folding, meaning the same protocol can produce wildly different distributions in two patients. The result is <strong>personalized current flow forecasting<\/strong>\u2014an actionable roadmap that reduces trial-and-error and boosts the likelihood of hitting the intended circuit with physiological precision.<\/p>\n<h3>Closed-Loop Systems: Real-Time EEG Adjustments for Adaptive Paradigms<\/h3>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' width=\"609px\" alt=\"Non invasive brain stimulation techniques\" 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\"\/><\/p>\n<p>Closed-loop systems leverage real-time EEG to modulate non-invasive brain stimulation, creating adaptive paradigms that respond to an individual\u2019s ongoing cortical state. By continuously decoding alpha or theta oscillations, the system adjusts stimulation intensity or timing within milliseconds, targeting moments of optimal neural plasticity rather than applying fixed protocols. This dynamic feedback prevents habituation and enhances after-effects, making sessions more efficient for motor or cognitive training. <strong>Real-time EEG adjustments for adaptive paradigms<\/strong> thus shift intervention from open-loop guesswork to precision neuromodulation. *However, the signal quality, particularly movement artifacts, dictates whether the algorithm faithfully tracks genuine brain activity or merely noise.* For users, this means fewer sessions with greater, personalized efficacy, especially when paired with tasks that naturally evoke the targeted oscillation.<\/p>\n<h2>Clinical Outcomes Across Major Diagnostic Categories<\/h2>\n<p>Across major diagnostic categories, non-invasive brain stimulation (NIBS) yields distinct, reproducible outcomes. In major depressive disorder, repetitive transcranial magnetic stimulation (rTMS) achieves remission in roughly one-third of treatment-resistant patients, with response often sustained for months. For chronic neuropathic pain, high-definition transcranial direct current stimulation (HD-tDCS) over the motor cortex reduces pain scores by 30\u201350% in controlled trials, particularly for post-stroke and spinal cord injury cases. In schizophrenia, theta-burst stimulation targeting the left dorsolateral prefrontal cortex improves negative symptoms, while auditory hallucinations respond to low-frequency rTMS over the temporoparietal junction. Obsessive-compulsive disorder shows moderate benefit from deep TMS, with a 25\u201340% Yale-Brown scale reduction. **Stroke rehabilitation** is where NIBS shines most: anodal tDCS paired with motor training accelerates upper-limb recovery, outperforming sham by a clinically meaningful margin on the Fugl-Meyer scale. Across all categories, outcomes depend on precise electrode placement and individualized dosing\u2014not on diagnosis alone. Q: What predicts best NIBS response across depression, pain, and stroke? A: Baseline cortical excitability and neural network connectivity, not symptom severity.<\/p>\n<h3>Major Depressive Disorder: Remission Rates and Biomarker Predictors<\/h3>\n<p>For major depressive disorder, non-invasive brain stimulation (NIBS) remission rates hover around 30\u201340% after a standard course, but the real game-changer is biomarker predictors. Electroencephalography (EEG) frontal alpha asymmetry and resting-state connectivity patterns can forecast who will hit remission with repetitive transcranial magnetic stimulation (rTMS) or transcranial direct current stimulation (tDCS) before you even start. Similarly, baseline cortisol levels and neuroplasticity markers (like BDNF) help separate fast responders from non-responders. This means your first treatment choice doesn\u2019t have to be a shot in the dark\u2014matching the right NIBS protocol to your unique biomarker profile sharply boosts the odds of a full, sustained remission rather than just a partial improvement.<\/p>\n<blockquote><p>Remission rates for MDD with NIBS improve dramatically when you use EEG, cortisol, and BDNF biomarkers to predict response\u2014so personalized targeting beats trial-and-error every time.<\/p><\/blockquote>\n<h3>Post-Stroke Motor Recovery: Timing and Intensity Parameters for Rehab Units<\/h3>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' width=\"602px\" alt=\"Non invasive brain stimulation techniques\" 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\"\/><\/p>\n<p>For rehab units, <strong>post-stroke motor recovery hinges on the interaction between stimulation timing and dose intensity<\/strong>. Deliver NIBS within the first 3\u20136 months post-ictus, when cortical excitability is most plastic, but avoid ultra-early (<48h) 2 5 20 30 application in severe lesions where metabolic vulnerability peaks. pair anodal tdcs or high-frequency rtms with task-specific training at a minimum of minutes, three times weekly; higher intensity (e.g., ma, sessions week) accelerates gains, yet exceeding per limb plateaus without added functional carryover. *the optimal window is not fixed but patient-specific, guided by baseline corticospinal integrity and fatigue thresholds.* for chronic stages (>6 months), use intermittent theta-burst stimulation at 80% active motor threshold, with intensity titrated to elicit visible muscle twitches without spreading to antagonist groups\u2014monitor for per-session fatigue to prevent maladaptive compensation.<\/48h)><\/p>\n<p><strong>Q: What is the single most critical intensity parameter for a rehab unit starting NIBS?<\/strong> A: The most decisive factor is achieving a session dose of at least 20 minutes of active stimulation at \u22651.5 mA (tDCS) or 1,200 pulses (rTMS) directly overlapped with motor practice\u2014below these thresholds, neuroplasticity fails to consolidate into functional motor gains.<\/p>\n<h3>Tinnitus and Chronic Pain: Targeting Maladaptive Networks Beyond the Motor Cortex<\/h3>\n<p>Tinnitus and chronic pain share a core feature: <strong>maladaptive network dysfunction<\/strong> that extends beyond primary sensory or motor cortices. Non-invasive brain stimulation (NIBS) targets these distributed circuits\u2014including the dorsal anterior cingulate, insula, and prefrontal regions\u2014rather than solely modulating motor output. For tinnitus, repetitive transcranial magnetic stimulation (rTMS) applied to the temporoparietal junction or dorsolateral prefrontal cortex can reduce phantom percept intensity by disrupting aberrant oscillatory coupling. In chronic pain, transcranial direct current stimulation (tDCS) over the prefrontal cortex or primary motor cortex indirectly recalibrates descending pain inhibition, yet newer protocols target the insula or anterior cingulate directly to address affective-motivational components. The clinical outcome hinges on <mark>individualized network mapping<\/mark>, since responders show distinct connectivity patterns linking auditory or nociceptive inputs to limbic salience networks.<\/p>\n<ul>\n<li>NIBS protocols for tinnitus often combine low-frequency rTMS with auditory cortex targeting to suppress hyperactive gamma-band activity.<\/li>\n<li>Chronic pain responders benefit from tDCS montages that co-stimulate the dorsolateral prefrontal cortex and insula, improving both sensory and emotional pain scores.<\/li>\n<li>Network-based biomarkers (e.g., resting-state fMRI connectivity) predict whether a patient will respond to cerebellar or prefrontal NIBS for either condition.<\/li>\n<li>Pairing NIBS with cognitive behavioral therapy enhances long-term renormalization of salience network activity, reducing relapse rates.<\/li>\n<\/ul>\n<h3>Aphasia Rehabilitation: Excitatory Stimulation Over Language Broca\u2019s Area<\/h3>\n<p>In aphasia rehabilitation, excitatory stimulation over Broca\u2019s area\u2014typically via anodal tDCS or high-frequency rTMS\u2014aims to upregulate residual perilesional cortical networks critical for speech production. Clinically, this approach yields measurable gains in naming accuracy and fluency, especially when paired with language therapy, as the priming effect lowers the threshold for synaptic activation during task engagement. <strong>Excitatory stimulation over Broca\u2019s area<\/strong> is most effective in non-fluent aphasia, where the lesion spares some ventral premotor neurons. The protocol generally follows: <\/p>\n<ol>\n<li>identify the residual activation site via fMRI or navigated mapping;<\/li>\n<li>apply anodal tDCS (1\u20132 mA, 20 minutes) or 10 Hz rTMS over the left inferior frontal gyrus;<\/li>\n<li>deliver concurrent naming or sentence-construction drills;<\/li>\n<li>repeat across 10\u201315 sessions, monitoring generalization to untrained items.<\/li>\n<\/ol>\n<p><em>Timing matters more than intensity, as too early stimulation post-stroke may destabilize perilesional plasticity.<\/em> Outcome variability depends on lesion volume and baseline auditory comprehension, not merely stimulation dose.<\/p>\n<h2>Cognitive Enhancement and Aging Brains<\/h2>\n<p>For aging brains, non-invasive brain stimulation techniques like transcranial direct current stimulation (tDCS) and repetitive transcranial magnetic stimulation (rTMS) offer a practical, drug-free route to counter cognitive decline. Targeted application to the dorsolateral prefrontal cortex can sharpen working memory, improve processing speed, and bolster executive function\u2014areas that typically falter with age. A consistent protocol, often three to five sessions weekly, yields measurable gains in verbal fluency and attention, with effects lasting weeks after the final session. <em>However, individual response varies significantly based on baseline cognitive reserve, so personalized electrode placement and current intensity are essential to avoid underwhelming results.<\/em> Pairing stimulation with cognitive training\u2014like a memory task\u2014amplifies neuroplastic changes, making the intervention far more effective than passive application. For healthy seniors or those with mild impairment, <strong>this approach safely enhances mental agility<\/strong> without systemic side effects. <strong>Commit to a structured, repeated schedule<\/strong> to see meaningful, sustained improvements in daily cognitive performance.<\/p>\n<h3>Working Memory Upgrades in Healthy Older Adults: Dosage and Durability<\/h3>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' width=\"603px\" alt=\"Non invasive brain stimulation techniques\" 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healthy older adults seeking working memory gains, <strong>tDCS dosage and durability hinge on repeated, spaced sessions<\/strong>. Typical protocols employ 1\u20132 mA anodal stimulation over the left dorsolateral prefrontal cortex for 20 minutes, delivered five times per week for two to four weeks. Immediate improvements in digit span and n-back tasks often emerge after three sessions, but durability remains limited: benefits typically decay within one to three months without maintenance. <em>Crucially, pairing tDCS with cognitive training\u2014rather than applying it alone\u2014extends retention by 50% or more, though weekly booster sessions appear necessary to sustain gains beyond six months.<\/em> Individual response varies widely, so starting at lower intensity (1 mA) and titrating upward is advisable to minimize ceiling effects while monitoring fatigue.<\/p>\n<h3>Attention Deficit Hyperactivity Disorder: Modulating Fronto-Parietal Control Nodes<\/h3>\n<p>In adults with Attention Deficit Hyperactivity Disorder, <strong>modulating fronto-parietal control nodes<\/strong> via non-invasive brain stimulation targets the core neural circuits underlying executive dysfunction. Transcranial direct current stimulation (tDCS) applied over the right dorsolateral prefrontal cortex and inferior parietal lobule can transiently enhance working memory and attentional allocation by increasing cortical excitability in these interconnected regions. Repetitive transcranial magnetic stimulation (rTMS) at high frequencies similarly augments top-down control, reducing impulsivity during cognitive tasks. These protocols typically require repeated sessions to induce lasting synaptic plasticity, with individualized electrode placement based on MRI-navigated targeting. Stimulation parameters\u2014such as current intensity and montage polarity\u2014are adjusted to optimize engagement of the <mark>fronto-parietal network<\/mark>, offering a non-pharmacological adjunct for residual symptoms.<\/p>\n<blockquote><p>Fronto-parietal control node modulation via tDCS or rTMS transiently improves executive functions and reduces impulsivity in ADHD, with effects dependent on precise electrode placement and repeated stimulation sessions.<\/p><\/blockquote>\n<h3>Alzheimer\u2019s Disease Research: Slow Oscillatory Stimulation for Sleep-Dependent Memory Consolidation<\/h3>\n<p>In Alzheimer\u2019s disease research, slow oscillatory stimulation targets the precise electrophysiological hallmark of impaired memory consolidation: disrupted slow-wave activity during non-REM sleep. By delivering transcranial alternating current stimulation at ~0.75 Hz over the prefrontal cortex, this non-invasive technique aims to reinstate the endogenous oscillations that coordinate hippocampal\u2013cortical dialogue. The practical outcome for patients is potential enhancement of overnight declarative memory retention, directly counteracting the sleep-dependent synaptic downscaling failure observed in early-stage pathology. Crucially, stimulation timing must align with individual slow-wave phase\u2014typically detected via EEG-triggered closed-loop systems\u2014to avoid disrupting residual plasticity. Unlike pharmacological approaches, this method offers a repeatable, at-home-capable intervention that may slow cognitive decline if applied consistently during the prodromal window. **Phase-locked auditory or electrical stimulation** remains the most clinically investigated protocol, with titration of current density (\u22642 mA) to prevent seizure risk or skin discomfort. Q: <strong>Can slow oscillatory stimulation restore memory consolidation in mild cognitive impairment due to Alzheimer\u2019s?<\/strong> Evidence suggests it improves overnight word-recall accuracy by 10\u201315% in early-stage patients, but efficacy drops when amyloid burden is high, indicating a narrow therapeutic window.<\/p>\n<h2>Pediatric and Adolescent Applications<\/h2>\n<p>In pediatric and adolescent populations, non-invasive brain stimulation techniques such as transcranial direct current stimulation (tDCS) and repetitive transcranial magnetic stimulation (rTMS) are applied with adjusted parameters\u2014lower current intensities and reduced stimulation durations\u2014to account for developing cortical excitability and skull thickness. These interventions primarily target neurodevelopmental conditions, including attention-deficit\/hyperactivity disorder (ADHD), autism spectrum disorder, and pediatric epilepsy, where focal modulation of prefrontal or motor circuits can support cognitive control or reduce seizure frequency. <strong>Safety monitoring in youth emphasizes real-time assessment of discomfort and seizure risk<\/strong>, as the developing brain shows heightened plasticity that may amplify both therapeutic gains and adverse effects. <strong>Age-specific dosing protocols remain an active area of clinical adaptation<\/strong>, with repeated sessions often paired with behavioral training to consolidate learning. <em>Crucially, response variability in adolescents appears higher than in adults, likely due to ongoing synaptic pruning and hormonal shifts<\/em>. Clinicians also integrate EEG or fMRI-guided targeting to improve precision, while strictly limiting stimulation to research or medically supervised contexts. Long-term follow-up data remain limited, so conservative trial designs are preferred for this age group.<\/p>\n<h3>Autism Spectrum Disorders: Excitability Shifts in Social-Cognitive Regions<\/h3>\n<p>In pediatric ASD care, <strong>excitability shifts in social-cognitive regions<\/strong> are targeted by non-invasive brain stimulation to rebalance atypical neural firing. Repetitive transcranial magnetic stimulation (rTMS) applied to the dorsolateral prefrontal cortex or temporoparietal junction modulates cortical inhibition, aiming to reduce hypersensitive responses to social cues. Transcranial direct current stimulation (tDCS) over the inferior frontal gyrus can enhance or suppress excitability, depending on polarity, to improve facial affect recognition and joint attention. Protocols emphasize individualized thresholds, as ASD networks often show paradoxical reactions to standard intensities. Clinicians monitor for seizure risk and behavioral regression, adjusting parameters to maintain a therapeutic excitatory-inhibitory equilibrium without overstimulating developing circuits.<\/p>\n<blockquote><p>Autism Spectrum Disorders involve measurable excitability shifts in social-cognitive regions; non-invasive stimulation aims to recalibrate these imbalances for improved social processing.<\/p><\/blockquote>\n<h3>Pediatric Epilepsy: Seizure Reduction via Repeated Peripheral Nerve Stimulation<\/h3>\n<p>For kids with drug-resistant epilepsy, <strong>repeated peripheral nerve stimulation<\/strong> offers a gentle, non-invasive path to fewer seizures. Instead of targeting the brain directly, this technique uses electrodes on the wrist or ankle to send mild pulses through the vagus or trigeminal nerve, which then calm overactive brain circuits over weeks of daily use. Families typically apply the device at home for 20\u201330 minutes, often during homework or TV time, with minimal side effects like skin redness or a tingling sensation. Clinical observations show seizure frequency can drop by 20\u201340% in responders, though results build gradually\u2014so consistency matters more than intensity. It\u2019s not a cure, but a practical add-on to existing meds, especially for younger children who avoid the risks of implanted devices.\n<\/p>\n<p><strong>Q: How soon might a child see fewer seizures with repeated peripheral nerve stimulation?<\/strong><br \/>\nA: Most families notice subtle changes within 4\u20136 weeks, but meaningful reduction\u2014often a <mark>seizure frequency drop<\/mark>\u2014typically appears after 2\u20133 months of daily, consistent sessions.<\/p>\n<h3>Neurodevelopmental Stuttering: Stimulating Supplementary Motor Area Dynamics<\/h3>\n<p>For kids with neurodevelopmental stuttering, the real action happens in the brain\u2019s supplementary motor area (SMA), which gets overly excited and disrupts speech timing. Non-invasive brain stimulation, like <strong>repetitive transcranial magnetic stimulation (rTMS) over the SMA<\/strong>, can help rebalance this activity. In practice, clinicians often pair low-frequency rTMS to calm the SMA down with behavioral fluency therapy, since the stimulation alone doesn\u2019t teach new motor patterns\u2014it just makes the neural environment more receptive to learning. Sessions are short (10\u201320 minutes) and usually run for 4\u20136 weeks. Some teens report smoother syllable transitions after a few days, but real gains show up around week three, when the cortex starts consolidating that quieter SMA rhythm.<\/p>\n<h2>Combining Behavioral Interventions with Brain Activating Protocols<\/h2>\n<p>When you pair a behavioral task with a brain-activating protocol, the stimulation becomes a scaffold rather than a solo act. Sitting in a quiet room while a tDCS device hums at your scalp does little; instead, you must engage the very circuit you intend to modify. For example, if you\u2019re training working memory, deliver anodal tDCS over the dorsolateral prefrontal cortex *while* the participant rehearses a sequence of letters aloud, not before or after. The timing matters\u2014the neural firing evoked by the task primes the membrane potential, making the weak electric field more likely to drive lasting plasticity. Likewise, in stroke rehab, pairing constraint-induced movement therapy with repetitive TMS over the lesioned motor cortex amplifies cortical excitability exactly when the brain needs to rewire. <strong>The protocol is not a treatment; it\u2019s a catalyst.<\/strong> For depression, combine rTMS with a personalized cognitive challenge\u2014like reappraising a negative memory\u2014so the stimulated region consolidates the new emotional pattern. <strong>You cannot expect transfer from an isolated zap.<\/strong> What emerges is a synergistic loop: the behavior focuses the stimulation, and the stimulation boosts the behavior\u2019s neural trace, until the pair becomes one habit.<\/p>\n<h3>Pairing Cognitive Training with Phasic Stimulation for Transfer Effects<\/h3>\n<p>Pairing cognitive training with phasic stimulation targets the brain\u2019s natural oscillatory rhythms to amplify learning-induced plasticity. Unlike continuous protocols, phasic transcranial alternating current stimulation (tACS) is delivered in bursts synchronized to task engagement, often during working memory or executive function drills. This temporal alignment enhances long-term potentiation-like effects, enabling <strong>transfer to untrained cognitive domains<\/strong>, such as fluid reasoning or attention control. Practical application requires adjusting stimulation frequency (e.g., theta for memory encoding) and intensity individually, with training sessions spaced across multiple days to consolidate gains. Real-time EEG-triggered stimulation further refines precision by delivering pulses only when the user is cognitively engaged, reducing habituation and promoting durable, generalized improvement.<\/p>\n<h3>Physical Exercise as an Adjunct for Prolonging Neuroplastic Changes<\/h3>\n<p><strong>Physical exercise as an adjunct for prolonging neuroplastic changes<\/strong> directly extends the therapeutic window of non-invasive brain stimulation (NIBS). Aerobic activity performed within a two-hour window before or after tDCS or TMS elevates brain-derived neurotrophic factor, which consolidates synaptic plasticity that would otherwise decay. Pairing high-intensity interval training with anodal tDCS over the motor cortex yields measurable retention of cortical excitability for up to 48 hours, versus several hours with stimulation alone. For clinical protocols, schedule moderate cycling (60\u201370% max heart rate) immediately following each NIBS session, three times weekly, to reinforce connectivity in targeted networks. This combination is particularly potent for motor rehabilitation and depression relapse prevention, where single-session effects are insufficient.<\/p>\n<h3>Pharmacotherapy Interactions: When Drugs Augment or Suppress Neuromodulatory Gains<\/h3>\n<p>Pharmacotherapy interactions critically shape outcomes when pairing drugs with non-invasive brain stimulation, as agents can either amplify or blunt the targeted neuromodulatory gains. Dopaminergic agonists, such as levodopa, often augment long-term potentiation-like plasticity induced by anodal tDCS or repetitive TMS, enhancing motor learning, whereas GABAergic enhancers like benzodiazepines suppress plasticity by raising cortical inhibition and should be minimized before sessions. NMDA receptor antagonists, including ketamine at subanesthetic doses, can paradoxically prolong plasticity windows, but timing matters\u2014administering them hours prior may yield <strong>synergistic neuromodulation for refractory depression<\/strong>, while immediate use disrupts consolidation. Antidepressants that block sodium channels, like carbamazepine, reduce TMS-induced motor-evoked potentials, necessitating dose adjustments. *Clinicians must titrate concurrent medications based on stimulation modality, target region, and the drug\u2019s half-life to avoid silent cancellation of intended cortical excitability shifts.* Serotonergic agents, notably SSRIs, show variable effects, enhancing prefrontal gains in some protocols yet impairing them in others, demanding individualized pharmaco-EEG monitoring.<\/p>\n<h2>Measurement and Verification Protocols<\/h2>\n<p>When you place a transcranial direct current stimulation cap on a volunteer, the <strong>Measurement and Verification Protocols<\/strong> begin before the current flows\u2014you first log baseline motor-evoked potentials via single-pulse TMS to map cortical excitability. After each 20-minute session, you re-measure the same metric under identical coil positioning and skin impedance (kept below 5 k\u03a9), because even a 0.5 cm shift in electrode placement can skew after-effects by 30%. Verification isn\u2019t a checkbox; it\u2019s a temporal loop where you compare sham versus active sessions using blinded raters and pre-registered thresholds. <\/p>\n<blockquote><p>If your post-stimulation MEP amplitude doesn\u2019t return to baseline within 90 minutes, your protocol\u2014not the brain\u2014has failed.<\/p><\/blockquote>\n<p> You also alternate stimulation polarity and track cumulative dosing across visits, ensuring that each dataset reflects the induced plasticity, not ambient arousal or medication drift.<\/p>\n<h3>Pre-Post TMS-Evoked Potentials to Quantify Corticospinal Excitability<\/h3>\n<p>To quantify corticospinal excitability shifts, you compare <strong>pre-post TMS-evoked potential amplitudes<\/strong> recorded from a target muscle via electromyography. Before an intervention, deliver single-pulse TMS at a fixed suprathreshold intensity to establish a baseline MEP peak-to-peak amplitude. After the stimulation protocol, repeat identical pulses under the same coil position and muscle activation state. A significant increase in MEP size indicates facilitatory plasticity, while a reduction suggests inhibitory effects. This metric is direct, objective, and reflects synaptic efficiency changes in the corticospinal tract, making it a gold standard for verifying neuromodulatory impact.<\/p>\n<ul>\n<li>Always average at least 10\u201315 MEPs per time point to reduce trial-to-trial variability.<\/li>\n<li>Maintain consistent coil orientation and participant relaxation to ensure reliable pre-post comparisons.<\/li>\n<li>Use a control condition (e.g., sham TMS) to isolate genuine plasticity from habituation or fatigue.<\/li>\n<\/ul>\n<h3>Functional Near-Infrared Spectroscopy for Portable Cortical Monitoring<\/h3>\n<p>When you\u2019re tweaking tDCS or TMS settings, <strong>portable fNIRS cortical monitoring<\/strong> lets you watch oxygenation shifts right at the stimulation site without bulky MRI gear. You simply strap on a lightweight headband with near-infrared optodes, and it tracks hemodynamic responses\u2014so you can see if your montage actually engages the target region or just warms up adjacent cortex. It\u2019s handy for home-use protocols because it tolerates slight motion, unlike fMRI. During a session, you get real-time feedback on whether prefrontal or motor cortex activity boosts or suppresses, helping you adjust intensity or electrode placement on the fly. Just remember cap placement matters\u2014misaligned optodes over hair can skew signals, so keep the probe snug against bare skin for reliable reads.<\/p>\n<h3>Resting-State fMRI Connectivity as a Marker of Network-Wide Reorganization<\/h3>\n<p>Resting-state fMRI connectivity serves as a direct metric for verifying network-wide reorganization induced by non-invasive brain stimulation. By measuring spontaneous low-frequency BOLD fluctuations before and after protocols like tDCS or TMS, clinicians can quantify changes in functional coupling between distant nodes, such as the default mode and frontoparietal networks. This approach identifies whether stimulation effects remain local or propagate across the connectome, offering a robust readout for dose-response calibration. <em>Critically, the persistence of connectivity alterations beyond the stimulation window indicates plastic reorganization rather than transient excitability shifts.<\/em> Practical use involves acquiring pre-stimulation baseline scans, applying the intervention, and repeating acquisition to compute seed-based or graph-theoretical metrics, enabling personalized adjustments to stimulation parameters. <strong>Network-wide reorganization markers<\/strong> derived from resting-state fMRI thus replace subjective behavioral assessments with objective neurophysiological evidence of integration.<\/p>\n<ul>\n<li>Compare pre- and post-stimulation seed-to-voxel connectivity maps to detect altered inter-network coupling.<\/li>\n<li>Use graph-theory metrics (e.g., modularity, global efficiency) to quantify reorganization magnitude and direction.<\/li>\n<li>Target stimulation to individual resting-state network topography, rather than generic coordinates, for reliable marker detection.<\/li>\n<\/ul>\n<h2>Addressing Skepticism: Placebo Effects and Blinding Difficulties<\/h2>\n<p>Skepticism toward non-invasive brain stimulation often hinges on its placebo-controlled evidence base, yet the field has developed robust countermeasures. <strong>Blinding difficulties<\/strong> arise because active protocols\u2014like tDCS or TMS\u2014can produce distinct scalp sensations, threatening sham credibility. To address this, researchers employ <strong>ramp-up protocols<\/strong> that mimic initial paresthesia, then fade to baseline, effectively masking allocation. Crucially, <mark>the absence of subjective sensation does not constitute a valid control condition<\/mark>, as expectation alone can drive measurable cortical excitability changes. Therefore, pragmatic trial designs now incorporate <strong>active sham comparators<\/strong>\u2014delivering low-intensity current at non-effective frequencies\u2014plus <strong>physiological outcome biomarkers<\/strong> (e.g., motor-evoked potentials) that are resistant to self-report bias. By transparently documenting sensory equivalence and using objective neural readouts, practitioners can persuade naysayers that observed gains exceed placebo artifacts. This methodological rigor transforms blinding from a liability into a persuasive asset, reinforcing the credibility of NIBS interventions.<\/p>\n<h3>Sham Stimulation Controls: Designing Credible Inactive Comparisons<\/h3>\n<p>For non-invasive brain stimulation, a credible sham control must replicate the sensory experience of active stimulation without delivering a meaningful cortical effect. This typically involves placing electrodes or coils in identical positions but reducing the intensity or shortening the ramp-up duration so participants cannot distinguish the conditions. A key strategy is the <strong>credible inactive comparison design<\/strong>, which uses a brief active pulse at the start to mimic the initial skin sensation, followed by no sustained current or field. Practical elements include matching the tingling, auditory click, and muscle twitch, while ensuring the sham does not alter neuronal excitability. Verifying participant blinding via post-session questionnaires helps confirm the control\u2019s integrity, and adjusting parameters like current density or pulse frequency ensures the sham remains biologically inert yet perceptually indistinguishable.<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' width=\"602px\" alt=\"Non invasive brain stimulation techniques\" 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a 30-second active ramp-up followed by zero current for tDCS to preserve sensation.<\/li>\n<li>For TMS, tilt the coil at 45\u201390 degrees to produce the click without inducing a magnetic field in the cortex.<\/li>\n<li>Match electrode size, gel type, and skin preparation across active and sham arms.<\/li>\n<li>Track guessing rates with forced-choice questions to detect unblinding early.<\/li>\n<\/ul>\n<h3>Expectancy Biases in Subjective Symptom Reporting: Strategies for Mitigation<\/h3>\n<p>Expectancy biases in subjective symptom reporting during non-invasive brain stimulation (NIBS) trials distort outcome validity, as participants anticipating benefit or harm selectively attend to and amplify perceived changes. Mitigation strategies include using active sham controls that mimic scalp sensations, thereby equalizing credibility across arms. Additionally, implementing balanced-placebo designs\u2014where instructions about stimulation condition are crossed with actual delivery\u2014quantifies the magnitude of expectation-driven variance. <em>Regression-based statistical adjustment using baseline expectancy scores as covariates can isolate true neuromodulatory effects, though this requires large samples for stable estimates.<\/em> Structured debriefing post-trial captures residual bias, while repeated symptom questionnaires interspersed with neutral items reduce focus on anticipated effects. <strong>Blinding integrity assessments<\/strong> must be collected systematically, as unblinding rapidly compounds expectancy, then excluded from primary analysis if broken. These procedures collectively attenuate, though rarely eliminate, the confounding influence of participant beliefs on subjective outcomes.<\/p>\n<h3>Meta-Analytic Controversies: Effect Sizes Across Different Outcome Measures<\/h3>\n<p>Meta-analytic controversies in non-invasive brain stimulation hinge on how outcome measures inflate or deflate reported effect sizes. When trials pool subjective mood scales alongside objective motor-evoked potentials, the resulting heterogeneity can mask true efficacy, with some analyses showing robust effects only on depression inventories while null results emerge on cognitive batteries. <em>The choice of primary endpoint\u2014clinical rating versus neurophysiological marker\u2014can flip a meta-analysis from positive to equivocal, making cross-study comparisons treacherous.<\/em> Publication bias further skews pooled estimates, as small trials favoring active stimulation over sham dominate the literature. Researchers must therefore demand subgroup analyses stratified by outcome domain, rather than accepting blanket summary statistics, because <strong>effect size variability across outcome measures<\/strong> is not noise\u2014it is the core signal for what tDCS genuinely impacts. Blinding integrity, rarely verified, adds another layer of uncertainty to these pooled calculations.<\/p>\n<h2>Regulatory Pathways and Reimbursement Landscapes<\/h2>\n<p>For <strong>non-invasive brain stimulation techniques<\/strong>, the regulatory pathway hinges on intended use: devices like tDCS or TMS aimed at treatment must clear FDA 510(k) or CE-mark routes, while wellness-focused versions slip through as low-risk consumer products. Reimbursement, however, is stricter\u2014Medicare and private payers often cover TMS only for treatment-resistant depression after failed trials, leaving tDCS and newer techniques like focused ultrasound without dedicated codes, forcing clinics to bill under unlisted procedures or self-pay models. <\/p>\n<blockquote><p>A patient\u2019s access to rTMS can literally hinge on whether their insurer recognizes the exact protocol, not the clinical outcome, so clinicians must verify coverage before starting a course.<\/p><\/blockquote>\n<p> Meanwhile, off-label use rarely triggers payment, so practitioners navigate prior authorizations and appeals daily, turning reimbursement into a pre-procedure gatekeeper.<\/p>\n<h3>FDA Clearances, CE Marks, and Off-Label Prescribing Patterns<\/h3>\n<p>For non-invasive brain stimulation (NIBS) devices, <strong>FDA clearances and CE marks<\/strong> dictate specific indications, but clinicians often rely on <mark>off-label prescribing patterns<\/mark> to treat conditions beyond those approved boundaries. A device cleared for major depressive disorder may be routinely used off-label for anxiety or chronic pain, while CE-marked devices in Europe sometimes permit broader clinical flexibility under physician judgment. However, reimbursement rarely follows off-label use, so patients may face out-of-pocket costs. Always verify whether your planned treatment aligns with the device\u2019s cleared indication or documented off-label evidence.\n<\/p>\n<p><strong>Q: Does a CE mark or FDA clearance guarantee insurance coverage for off-label NIBS use?<\/strong><br \/> <br \/>\nA: No. Both regulatory approvals validate safety and efficacy for specified uses; payers typically restrict reimbursement to those labeled indications, leaving off-label protocols self-funded.<\/p>\n<h3>Insurance Coverage Gaps for Emerging Electrical and Ultrasound Therapies<\/h3>\n<p>For emerging electrical and ultrasound brain stimulation, the most immediate hurdle isn\u2019t efficacy\u2014it\u2019s <strong>reimbursement lagging behind clinical evidence<\/strong>. Private payers frequently classify transcranial focused ultrasound or high-definition tDCS as investigational, forcing patients to cover $300\u2013$800 per session out-of-pocket. Even when a physician deems the therapy medically necessary,<mark> prior authorization<\/mark> denials are common because CPT codes lack specificity for these novel devices. Medicare similarly excludes most NIBS modalities beyond rTMS, leaving a stark coverage gap for depression, OCD, or chronic pain indications. Consequently, clinics often shift to cash-pay models, but this restricts access to affluent patients. You must verify coverage on a code-by-code basis before committing to a treatment plan, as a single denial can derail a full protocol.<\/p>\n<blockquote><p>Insurance coverage for emerging electrical and ultrasound therapies remains fragmented, inconsistent, and rarely aligned with current evidence, making financial self-advocacy essential.<\/p><\/blockquote>\n<h3>International Guidelines from Neurology and Psychiatry Societies<\/h3>\n<p>When exploring NIBS, <strong>international guidelines from neurology and psychiatry societies<\/strong> are your first stop for practical clarity. These groups\u2014like the IFCN and WFSBP\u2014regularly grade evidence for repetitive TMS, tDCS, and ECT, telling you which protocols actually work for depression, OCD, or neuropathic pain. They also flag safety limits (e.g., stimulation intensity and session frequency) and specify who qualifies as a good candidate. Instead of relying on clinic promises, check these consensus papers to see if a technique is \u201cprobable\u201d or \u201cdefinitive\u201d effective for your condition, and to understand <mark>treatment parameters<\/mark> like targeting or dosing. This helps you set realistic expectations and ask your doctor smarter questions before paying out of pocket.<\/p>\n<blockquote><p>International guidelines from neurology and psychiatry societies distill trial data into clear, practical recommendations on efficacy, safety, and dosing for non-invasive brain stimulation\u2014so you can compare options and talk to providers with confidence.<\/p><\/blockquote>\n<h2>Future Directions in Portable and Wearable Neuromodulation<\/h2>\n<p>Future portable and wearable neuromodulation will push <strong>non-invasive brain stimulation techniques<\/strong> beyond clinic walls, focusing on closed-loop, adaptive systems. Expect headsets that read your brain\u2019s electrical activity in real time and automatically adjust tDCS or TMS parameters for your current state\u2014like boosting focus when attention dips or calming anxiety during stress. Instead of one-size-fits-all protocols, you\u2019ll get personalized, session-by-session tuning. The big shift is from &#8220;stimulate now&#8221; to &#8220;stimulate when needed,&#8221; making these tools feel more like a smart assistant than a medical device. <\/p>\n<blockquote><p>This means the next generation of wearables won\u2019t just treat symptoms\u2014they\u2019ll proactively manage your neural rhythm throughout the day, turning brief daily use into continuous, subtle support.<\/p><\/blockquote>\n<p> Ultimately, lighter, flexible electrodes and energy-efficient circuits will let you wear these devices during normal life, not just as a scheduled treatment.<\/p>\n<h3>Smartphone-Integrated Earbuds and Vagus Nerve Stimulation for Mood<\/h3>\n<p>Smartphone-integrated earbuds deliver targeted transcutaneous auricular vagus nerve stimulation (taVNS) through embedded electrodes, pairing with apps that adjust pulse intensity for mood regulation. These devices exploit the auricular branch of the vagus nerve, projecting afferent signals to brainstem nuclei and cortical regions involved in emotional control. Unlike bulky head-mounted stimulators, earbuds offer discreet, on-demand sessions during work or commutes, with real-time biometric feedback (heart rate variability) guiding stimulation parameters. <strong>Smartphone-integrated earbuds for mood modulation<\/strong> represent a practical convergence of consumer audio hardware and neuromodulation, allowing users to layer taVNS over podcasts or calls. The clinical mechanism relies on cholinergic and noradrenergic pathway activation, which may attenuate depressive symptoms over repeated use.<\/p>\n<p><strong>Can smartphone-integrated earbuds improve mood without causing ear discomfort?<\/strong> Most models employ gel-tipped or flexible electrodes that conform to the cymba conchae, minimizing pressure, while short stimulation cycles (e.g., 15 minutes) reduce skin irritation. However, individual anatomical variation may require trial of different earbud tip sizes to maintain consistent electrode contact and avoid tingling side effects.<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' width=\"609px\" alt=\"Non invasive brain stimulation techniques\" 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\"\/><\/p>\n<h3>Battery-Free Energy Harvesting for Implantable Cortical Patches<\/h3>\n<p>For implantable cortical patches, <strong>battery-free energy harvesting<\/strong> transforms how neuromodulation sustains itself. Instead of relying on bulky, surgically-replaced batteries, these patches scavenge power from external ultrasound, infrared light, or even the body\u2019s own kinetic movements. This means you could receive targeted stimulation without the risk of repeated surgeries for battery swaps. Piezoelectric layers within the patch convert micromovements into electrical pulses, while inductive coils capture near-field energy from a wearable transmitter placed on the scalp. The result is a closed-loop system that recharges continuously during daily activity, making therapy more consistent and unobtrusive. For users, this translates to longer-lasting, lower-profile implants that integrate seamlessly with portable control units.<\/p>\n<blockquote><p>Battery-free energy harvesting enables implantable cortical patches to operate indefinitely by converting external or bodily energy into stimulation, eliminating surgical battery replacements.<\/p><\/blockquote>\n<h3>AI-Driven Dose Optimization in Real-Time Based on Neural Signatures<\/h3>\n<p>In future portable neuromodulation, <strong>real-time AI-driven dose optimization<\/strong> will continuously decode neural signatures\u2014such as gamma-band power or phase-amplitude coupling\u2014from on-device EEG to adjust stimulation amplitude and frequency within milliseconds. This closed-loop process eliminates manual titration, adapting to moment-to-moment brain states like fatigue or attention lapses. For users, this means the device automatically reduces current when target engagement is achieved, preventing overstimulation, and boosts dose when <mark>neural signatures<\/mark> indicate waning response. Practical implementation requires edge-computing chips that compare live spectral patterns against a personalized baseline, updating parameters without cloud latency. This ensures each session\u2019s intensity matches immediate neurophysiological need, not a fixed protocol.<\/p>\n<blockquote><p>AI-driven dose optimization uses neural-signature feedback to recalibrate stimulation parameters in real time, making wearable neuromodulation self-adjusting and physiologically responsive.<\/p><\/blockquote>\n<h2>Practical Considerations for Clinicians and Researchers<\/h2>\n<p>For clinicians and researchers, <strong>practical considerations in non-invasive brain stimulation<\/strong> begin with rigorous dose parameter selection\u2014intensity, frequency, and session duration must be individually calibrated using motor threshold or electric-field modeling to ensure safety and efficacy. Realistic sham controls are essential for blinding integrity, yet they require careful impedance matching to avoid unblinding. Session scheduling must account for circadian and medication effects, as these markedly alter cortical excitability and outcomes. Equipment maintenance and electrode placement consistency demand standardized protocols, while adverse effect monitoring\u2014scalp pain, headache, or rare seizure risk\u2014requires predefined cessation criteria. Cost and time burdens necessitate pragmatic trial designs that balance mechanistic precision with clinical feasibility. Ultimately, embedding these translational decisions into published methods ensures reproducibility and accelerates the path from bench to bedside, making every stimulation session a scientifically valid data point.<\/p>\n<h3>Session Length, Frequency, and Total Number of Interventions for Sustained Effects<\/h3>\n<p>Determining optimal <strong>session length, frequency, and total number of interventions<\/strong> is critical for achieving sustained neuroplastic changes. Typical sessions last 20\u201330 minutes, as longer durations yield diminishing returns and increase adverse effects. Frequency usually ranges from daily sessions for acute protocols to 3\u20135 times weekly for maintenance, with the key principle that cumulative stimulation is necessary to outlast transient effects. While a single session offers brief modulation, durable clinical improvements generally require 10\u201320 total sessions, often delivered in a condensed schedule (e.g., 1\u20132 weeks) to maximize cortical excitability. After the initial phase, booster sessions every 1\u20132 weeks may help preserve gains, though responders vary. <mark>Protocol adherence<\/mark> to these parameters is more predictive of lasting outcomes than stimulation intensity alone.<\/p>\n<h3>Managing Adverse Events: Headache, Skin Irritation, and Transient Mood Shifts<\/h3>\n<p>Headache, the most common complaint following tDCS or TMS sessions, typically resolves within hours and responds well to standard analgesics, yet clinicians should verify electrode placement and current intensity as corrective measures. Skin irritation demands immediate protocol adjustment\u2014repositioning electrodes, reducing saline saturation, or applying barrier creams prevents progression to burns or hyperpigmentation. Transient mood shifts, while rarer, require proactive screening before each session and brief supportive check-ins afterward, framing any emotional lability as a passing, manageable response rather than a setback. By anticipating these three adverse events with structured mitigation plans, you transform them from deterrents into routine, resolvable incidents. This vigilance ensures <strong>safe neurostimulation practice<\/strong> and sustains patient adherence across repeated protocols, making session-to-session consistency both achievable and clinically sound.<\/p>\n<h3>Training Requirements for Technicians and Supervising Physicians<\/h3>\n<p>Effective administration of non-invasive brain stimulation (NIBS) demands distinct training pathways for technicians and supervising physicians. Technicians require hands-on competency in coil positioning, motor threshold determination, and safety screening, typically achieved through 20\u201340 supervised sessions and standardized certification modules. Supervising physicians must demonstrate advanced proficiency in neuroanatomy, seizure risk stratification, and protocol adaptation for vulnerable populations, necessitating at least 50 documented clinical cases under mentorship. Both roles mandate ongoing competency assessment every six months, including emergency response drills for stimulation-induced adverse events. Cross-disciplinary teams should establish clear scope-of-practice boundaries, ensuring <strong>supervised proficiency milestones<\/strong> are logged before independent operation. Simulation-based refreshers are essential for maintaining spatial targeting accuracy and dose-adjustment skills, especially when introducing new paradigms like theta-burst stimulation.<\/p>\n<h2>Patient Perspectives and Expectations Management<\/h2>\n<p>For patients considering <strong>non-invasive brain stimulation<\/strong>, managing expectations begins with clarifying that effects are often incremental, not transformative after a single session. Clinically, I frame success as measurable symptom reduction over a full protocol\u2014typically 10\u201320 visits\u2014rather than immediate \u201cfeeling\u201d changes. Patients frequently expect uniform outcomes across tDCS, TMS, or tACS, so I actively differentiate that individual neuroanatomy, baseline symptom severity, and adherence to scheduling dictate response variability. Crucially, I pre-empt disappointment by teaching that subjective improvement may lag objective gains, and that transient scalp discomfort or fatigue does not correlate with efficacy. I also set explicit milestones: if no progress appears by the fourth session, we reassess parameters rather than continuing blindly. <\/p>\n<blockquote><p>The most practical insight is to treat the first two weeks as calibration, not verdict, because placebo-aligned optimism and physiological response are indistinguishable early on.<\/p><\/blockquote>\n<p> Finally, I insist patients keep a symptom diary, as retrospective recall skews toward extremes, undermining honest evaluation of the technique\u2019s true benefit.<\/p>\n<h3>Shared Decision-Making Around Trial Periods and Crossover Designs<\/h3>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' width=\"604px\" alt=\"Non invasive brain stimulation techniques\" 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non-invasive brain stimulation, <strong>shared decision-making around trial periods and crossover designs<\/strong> hinges on transparently mapping each patient\u2019s symptom volatility to the statistical logic of blinded sequencing. Clinicians must explain how a crossover phase\u2014where active and sham stimulation alternate\u2014can unmask placebo responders while risking carryover effects, requiring a jointly agreed washout interval. The patient\u2019s tolerance for delayed benefit must be weighed against fixed-order biases, so you should co-define a priori criteria for early termination or unblinding if distress exceeds baseline. Practical tools include symptom diaries aligned to each arm, letting the patient visualize temporal matches between stimulation and relief. This iterative process ensures the trial period\u2019s length and sequence are not imposed but negotiated, preserving both scientific integrity and the individual\u2019s lived sense of control over an inherently variable therapy.<\/p>\n<h3>Documenting Subjective Experience: Journals and Digital Phenotyping<\/h3>\n<p>In non-invasive brain stimulation (NIBS), <strong>documenting subjective experience via journals and digital phenotyping<\/strong> bridges the gap between objective neuromodulation parameters and individual perceptual shifts. Patients tracking daily mood, fatigue, and sensory changes in structured journals helps clinicians adjust protocols, since self-reported outcomes often diverge from motor thresholds or EEG metrics. Digital phenotyping\u2014using smartphone sensors and passive typing patterns\u2014adds continuous, ecologically valid data on sleep, social engagement, and psychomotor speed, which directly correlate with stimulation-induced plasticity changes. To integrate these tools effectively: <\/p>\n<ol>\n<li>Begin with a baseline week of daily journal entries and passive sensor collection before the first NIBS session.<\/li>\n<li>Align journal prompts (e.g., \u201cpain intensity now,\u201d \u201cmental clarity after session\u201d) with each stimulation timestamp.<\/li>\n<li>Review weekly digital phenotyping summaries for <mark>affective volatility<\/mark> that may indicate over- or under-dosing.<\/li>\n<\/ol>\n<p> This dual documentation empowers patients to become co-analysts, reducing expectation mismatches about rapid efficacy.<\/p>\n<h3>Long-Term Adherence and Relapse Prevention After Stimulation Cessation<\/h3>\n<p>After stimulation ends, sustaining gains hinges on a structured taper rather than abrupt cessation, as <strong>relapse prevention after stimulation cessation<\/strong> requires neural consolidation time. Patients who gradually reduce session frequency over weeks report fewer acute symptom rebounds, while those who stop cold often misread transient dips as failure, triggering discouragement. Build a personalized \u201cmaintenance map\u201d that pairs monthly boosters with lifestyle anchors\u2014sleep timing, exercise, and mindfulness\u2014to reinforce the plasticity window. <em>Adherence falters not from lack of motivation but from unclear milestones, so define concrete triggers for a rescue session before cravings or mood dips escalate.<\/em> Track a daily symptom score for 90 days post-stimulation; a two-point shift for three consecutive days should cue a scheduled virtual check-in. This turns passive hope into an active, measurable protocol.<\/p>\n<h2>What Exactly Are Non-Invasive Brain Stimulation Techniques and How Do They Work?<\/h2>\n<h3>The Core Mechanisms Behind Magnetic and Electrical Stimulation<\/h3>\n<h3>Key Differences Between Transcranial Magnetic, Direct Current, and Ultrasound Methods<\/h3>\n<h3>Understanding the Safety Profile: Why These Methods Are Considered Low-Risk<\/h3>\n<h2>Which Brain Stimulation Approach Fits Your Specific Goals and Needs?<\/h2>\n<h3>Choosing Between Focused Magnetic Pulses and Continuous Electrical Flow<\/h3>\n<h3>Matching Stimulation Protocols to Conditions Like Depression, Anxiety, or Chronic Pain<\/h3>\n<h3>Device Options for Clinical Settings Versus At-Home Use<\/h3>\n<h2>Step-by-Step Guide to Starting Your First Stimulation Session<\/h2>\n<h3>What to Expect During a Typical Protocol: Duration, Frequency, and Sensations<\/h3>\n<h3>How to Properly Position Electrodes or Coils for Maximum Effectiveness<\/h3>\n<h3>Essential Preparation Tips: Hydration, Sleep, and Avoiding Stimulants<\/h3>\n<h2>Practical Benefits You Can Notice and How to Track Your Progress<\/h2>\n<h3>Immediate Cognitive Effects: Focus, Memory, and Reaction Time Improvements<\/h3>\n<h3>Long-Term Neuroplasticity Gains: When Results Stabilize and Become Permanent<\/h3>\n<h3>Combining Stimulation with Therapy, Exercise, or Meditation for Better Outcomes<\/h3>\n<h2>Common Pitfalls, Side Effects, and Expert Troubleshooting Advice<\/h2>\n<h3>Managing Mild Discomfort, Skin Irritation, or Headaches After Sessions<\/h3>\n<h3>Why Consistency Matters More Than Intensity: Avoiding the &#8220;More is Better&#8221; Trap<\/h3>\n<h3>When to Stop: Warning Signs That Indicate You Need a Break or Professional Input<\/h3>\n","protected":false},"excerpt":{"rendered":"<p>Understanding Non Invasive Brain Stimulation Techniques and Their Practical Uses When cognitive decline, stubborn depression, or chronic pain resists traditional<\/p>\n","protected":false},"author":52,"featured_media":0,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-8195","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v18.5 (Yoast SEO v19.0) - 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