{"id":50522,"date":"2025-06-20T12:27:12","date_gmt":"2025-06-20T16:27:12","guid":{"rendered":"https:\/\/www.vielight.com\/?p=50522"},"modified":"2025-08-24T09:35:55","modified_gmt":"2025-08-24T13:35:55","slug":"vielight-neuro-neuromodulation-neurofeedback-tpbm-photobiomodulation","status":"publish","type":"post","link":"https:\/\/www.vielight.com\/blog\/vielight-neuro-neuromodulation-neurofeedback-tpbm-photobiomodulation\/","title":{"rendered":"Vielight Neuro | Randomized Sham-Controlled EEG Neuromodulation itPBM Clinical Study (Brain Photobiomodulation)"},"content":{"rendered":"<div class=\"fusion-fullwidth fullwidth-box fusion-builder-row-1 fusion-flex-container has-pattern-background has-mask-background nonhundred-percent-fullwidth non-hundred-percent-height-scrolling\" style=\"--awb-border-radius-top-left:0px;--awb-border-radius-top-right:0px;--awb-border-radius-bottom-right:0px;--awb-border-radius-bottom-left:0px;--awb-flex-wrap:wrap;\" ><div class=\"fusion-builder-row fusion-row fusion-flex-align-items-flex-start fusion-flex-content-wrap\" style=\"max-width:1144px;margin-left: calc(-4% \/ 2 );margin-right: calc(-4% \/ 2 );\"><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-0 fusion_builder_column_1_1 1_1 fusion-flex-column\" style=\"--awb-bg-size:cover;--awb-width-large:100%;--awb-margin-top-large:0px;--awb-spacing-right-large:1.92%;--awb-margin-bottom-large:20px;--awb-spacing-left-large:1.92%;--awb-width-medium:100%;--awb-order-medium:0;--awb-spacing-right-medium:1.92%;--awb-spacing-left-medium:1.92%;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:1.92%;--awb-spacing-left-small:1.92%;\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-flex-start fusion-content-layout-column\"><div class=\"fusion-text fusion-text-1\"><h2 data-start=\"1754\" data-end=\"1774\">Executive summary<\/h2>\n<p data-start=\"1775\" data-end=\"2386\">A randomized, double-blind, sham-controlled, crossover study in healthy older adults showed that a <strong data-start=\"1874\" data-end=\"1902\">single 20-minute session<\/strong> with the <strong data-start=\"1912\" data-end=\"1936\">Vielight Neuro Gamma<\/strong> (810 nm LEDs pulsed at 40 Hz) <strong data-start=\"1967\" data-end=\"2026\">increased alpha\/beta\/gamma power, decreased delta\/theta<\/strong>, and <strong data-start=\"2032\" data-end=\"2115\">significantly altered functional connectivity and graph-theory network measures<\/strong> (clustering, characteristic path length, local &amp; global efficiency) relative to sham. These findings constitute <strong data-start=\"2228\" data-end=\"2284\">non-invasive neuromodulation of human brain activity<\/strong> published in a Nature Portfolio journal (<em data-start=\"2326\" data-end=\"2346\">Scientific Reports<\/em>).<\/p>\n<p data-start=\"1775\" data-end=\"2386\"><span class=\"\" data-state=\"closed\"><span class=\"ms-1 inline-flex max-w-full items-center relative top-&#091;-0.094rem&#093; animate-&#091;show_150ms_ease-in&#093;\" data-testid=\"webpage-citation-pill\"><span class=\"relative start-0 bottom-0 flex h-full w-full items-center\"><span class=\"flex h-4 w-full items-center justify-between overflow-hidden\"><span class=\"max-w-full grow truncate overflow-hidden text-center\">Read the full publication here: <\/span><\/span><\/span><strong><a class=\"flex h-4.5 overflow-hidden rounded-xl px-2 text-&#091;9px&#093; font-medium text-token-text-secondary! bg-&#091;#F4F4F4&#093;! dark:bg-&#091;#303030&#093;! transition-colors duration-150 ease-in-out\" href=\"https:\/\/www.nature.com\/articles\/s41598-019-42693-x.pdf\" target=\"_blank\" rel=\"noopener\"><span class=\"relative start-0 bottom-0 flex h-full w-full items-center\"><span class=\"flex h-4 w-full items-center justify-between overflow-hidden\"><span class=\"max-w-full grow truncate overflow-hidden text-center\">Nature<\/span><\/span><\/span><\/a><\/strong><\/span><\/span><\/p>\n<p data-start=\"1775\" data-end=\"2386\">As of Aug 20, 2025, the Vielight Neuro is involved in the only high-level journal publication demonstrating EEG neuromodulation with a<strong data-start=\"12548\" data-end=\"12597\">\u00a0commercially available, wearable LED<\/strong> brain PBM device.<\/p>\n<hr data-start=\"2388\" data-end=\"2391\" \/>\n<h2 data-start=\"2393\" data-end=\"2445\">Background: why test tPBM on neural oscillations?<\/h2>\n<p data-start=\"2446\" data-end=\"2993\">Transcranial photobiomodulation (tPBM) uses low-level red\/NIR light to modulate bioenergetic and signaling pathways (e.g., effects on the mitochondrial ETC and cytochrome-c oxidase), with accumulating human evidence in neurology and neurodegeneration. Yet, until this work, <strong data-start=\"2720\" data-end=\"2772\">direct electrophysiological modulation in humans<\/strong> under rigorous controls had been limited. The study explicitly targeted the <strong data-start=\"2849\" data-end=\"2879\">default mode network (DMN)<\/strong> with <strong data-start=\"2885\" data-end=\"2916\">40 Hz (gamma-range) pulsing<\/strong>, hypothesizing measurable EEG changes.<\/p>\n<hr data-start=\"2995\" data-end=\"2998\" \/>\n<h2 data-start=\"3000\" data-end=\"3022\">Methods at a glance<\/h2>\n<div id=\"attachment_50527\" style=\"width: 975px\" class=\"wp-caption aligncenter\"><img decoding=\"async\" aria-describedby=\"caption-attachment-50527\" class=\"wp-image-50527 \" src=\"https:\/\/www.vielight.com\/wp-content\/uploads\/2025\/08\/Nature-vielight-brain-pbm.jpg\" alt=\"\" width=\"965\" height=\"453\" srcset=\"https:\/\/www.vielight.com\/wp-content\/uploads\/2025\/08\/Nature-vielight-brain-pbm-200x94.jpg 200w, https:\/\/www.vielight.com\/wp-content\/uploads\/2025\/08\/Nature-vielight-brain-pbm-300x141.jpg 300w, https:\/\/www.vielight.com\/wp-content\/uploads\/2025\/08\/Nature-vielight-brain-pbm-400x188.jpg 400w, https:\/\/www.vielight.com\/wp-content\/uploads\/2025\/08\/Nature-vielight-brain-pbm-500x235.jpg 500w, https:\/\/www.vielight.com\/wp-content\/uploads\/2025\/08\/Nature-vielight-brain-pbm-600x282.jpg 600w, https:\/\/www.vielight.com\/wp-content\/uploads\/2025\/08\/Nature-vielight-brain-pbm-700x328.jpg 700w, https:\/\/www.vielight.com\/wp-content\/uploads\/2025\/08\/Nature-vielight-brain-pbm-768x360.jpg 768w, https:\/\/www.vielight.com\/wp-content\/uploads\/2025\/08\/Nature-vielight-brain-pbm-800x375.jpg 800w, https:\/\/www.vielight.com\/wp-content\/uploads\/2025\/08\/Nature-vielight-brain-pbm-1024x481.jpg 1024w, https:\/\/www.vielight.com\/wp-content\/uploads\/2025\/08\/Nature-vielight-brain-pbm.jpg 1074w\" sizes=\"(max-width: 965px) 100vw, 965px\" \/><p id=\"caption-attachment-50527\" class=\"wp-caption-text\">Figure 1. Schematic diagram of study design<\/p><\/div>\n<ul data-start=\"3023\" data-end=\"4317\">\n<li data-start=\"3023\" data-end=\"3256\">\n<p data-start=\"3025\" data-end=\"3256\"><strong data-start=\"3025\" data-end=\"3036\">Design:<\/strong> randomized, <strong data-start=\"3049\" data-end=\"3065\">double-blind<\/strong>, <strong data-start=\"3067\" data-end=\"3086\">sham-controlled<\/strong>, <strong data-start=\"3088\" data-end=\"3101\">crossover<\/strong>; eyes-closed rest EEG recorded <strong data-start=\"3133\" data-end=\"3147\">10 min pre<\/strong> and <strong data-start=\"3152\" data-end=\"3167\">10 min post<\/strong> each session (active vs. sham), \u22651-week washout.<\/p>\n<\/li>\n<li data-start=\"3257\" data-end=\"3359\">\n<p data-start=\"3259\" data-end=\"3359\"><strong data-start=\"3259\" data-end=\"3276\">Participants:<\/strong> <strong data-start=\"3277\" data-end=\"3287\">n = 20<\/strong> healthy older adults (61\u201374 y).<\/p>\n<\/li>\n<li data-start=\"3360\" data-end=\"3747\">\n<p data-start=\"3362\" data-end=\"3747\"><strong data-start=\"3362\" data-end=\"3385\">Device &amp; targeting:<\/strong> <strong data-start=\"3386\" data-end=\"3410\">Vielight Neuro Gamma<\/strong> (wearable LEDs + intranasal emitter) delivering <strong data-start=\"3459\" data-end=\"3469\">810 nm<\/strong>, <strong data-start=\"3471\" data-end=\"3480\">40 Hz<\/strong>, <strong data-start=\"3482\" data-end=\"3500\">50% duty cycle<\/strong>, <strong data-start=\"3502\" data-end=\"3512\">20 min<\/strong> total, with modules positioned to stimulate <strong data-start=\"3557\" data-end=\"3577\">DMN subdivisions<\/strong> (vmPFC via intranasal, dmPFC, PCC\/precuneus, lateral parietal). Locations correspond to <strong data-start=\"3666\" data-end=\"3685\">FPz, Cz, T3, T4<\/strong> in the 10\u201320 montage.<\/p>\n<\/li>\n<li data-start=\"3748\" data-end=\"3976\">\n<p data-start=\"3750\" data-end=\"3976\"><strong data-start=\"3750\" data-end=\"3772\">Dosimetry summary:<\/strong> approximate <strong data-start=\"3785\" data-end=\"3805\">beam spot ~1 cm\u00b2<\/strong>; <strong data-start=\"3807\" data-end=\"3824\">power density<\/strong> transcranial anterior LED ~<strong data-start=\"3852\" data-end=\"3867\">100 mW cm\u207b\u00b2<\/strong>; intranasal ~<strong data-start=\"3881\" data-end=\"3895\">25 mW cm\u207b\u00b2<\/strong>; <strong data-start=\"3897\" data-end=\"3935\">session energy density ~240 J cm\u207b\u00b2<\/strong>.<\/p>\n<\/li>\n<li data-start=\"3977\" data-end=\"4317\">\n<p data-start=\"3979\" data-end=\"4317\"><strong data-start=\"3979\" data-end=\"3997\">EEG analytics:<\/strong> spectral power (delta 1\u20133, theta 4\u20137, alpha 8\u201314, beta 14\u201330, gamma 30\u201350 Hz); <strong data-start=\"4077\" data-end=\"4140\">functional connectivity via weighted phase-lag index (wPLI)<\/strong>; <strong data-start=\"4142\" data-end=\"4166\">graph-theory metrics<\/strong>\u2014clustering coefficient (segregation), characteristic path length (integration), local and <strong data-start=\"4257\" data-end=\"4278\">global efficiency<\/strong>.<\/p>\n<\/li>\n<\/ul>\n<hr data-start=\"4319\" data-end=\"4322\" \/>\n<h2 data-start=\"4324\" data-end=\"4334\">Results<\/h2>\n<div id=\"attachment_50528\" style=\"width: 990px\" class=\"wp-caption alignnone\"><img decoding=\"async\" aria-describedby=\"caption-attachment-50528\" class=\"wp-image-50528\" src=\"https:\/\/www.vielight.com\/wp-content\/uploads\/2025\/08\/Nature-vielight-brain-pbm-1.jpg\" alt=\"\" width=\"980\" height=\"648\" srcset=\"https:\/\/www.vielight.com\/wp-content\/uploads\/2025\/08\/Nature-vielight-brain-pbm-1-200x132.jpg 200w, https:\/\/www.vielight.com\/wp-content\/uploads\/2025\/08\/Nature-vielight-brain-pbm-1-300x198.jpg 300w, https:\/\/www.vielight.com\/wp-content\/uploads\/2025\/08\/Nature-vielight-brain-pbm-1-400x265.jpg 400w, https:\/\/www.vielight.com\/wp-content\/uploads\/2025\/08\/Nature-vielight-brain-pbm-1-500x331.jpg 500w, https:\/\/www.vielight.com\/wp-content\/uploads\/2025\/08\/Nature-vielight-brain-pbm-1-600x397.jpg 600w, https:\/\/www.vielight.com\/wp-content\/uploads\/2025\/08\/Nature-vielight-brain-pbm-1-700x463.jpg 700w, https:\/\/www.vielight.com\/wp-content\/uploads\/2025\/08\/Nature-vielight-brain-pbm-1-768x508.jpg 768w, https:\/\/www.vielight.com\/wp-content\/uploads\/2025\/08\/Nature-vielight-brain-pbm-1-800x529.jpg 800w, https:\/\/www.vielight.com\/wp-content\/uploads\/2025\/08\/Nature-vielight-brain-pbm-1-1024x677.jpg 1024w, https:\/\/www.vielight.com\/wp-content\/uploads\/2025\/08\/Nature-vielight-brain-pbm-1.jpg 1185w\" sizes=\"(max-width: 980px) 100vw, 980px\" \/><p id=\"caption-attachment-50528\" class=\"wp-caption-text\">Figure 3. Non-parametric cluster-based permutation test comparing the rest EEG power spectrum betweenactive and sham tPBM<\/p><\/div>\n<h3 data-start=\"4336\" data-end=\"4372\">Power spectrum (active vs. sham)<\/h3>\n<p data-start=\"4373\" data-end=\"4513\">Relative to sham, <strong data-start=\"4391\" data-end=\"4420\">active 40 Hz, 810 nm tPBM<\/strong> produced a <strong data-start=\"4432\" data-end=\"4469\">down-shift of low-frequency power<\/strong> and <strong data-start=\"4474\" data-end=\"4512\">up-shift of higher-frequency power<\/strong>:<\/p>\n<ul data-start=\"4514\" data-end=\"4857\">\n<li data-start=\"4514\" data-end=\"4588\">\n<p data-start=\"4516\" data-end=\"4588\"><strong data-start=\"4516\" data-end=\"4525\">Delta<\/strong> \u2193 (t = \u22123.513, p &lt; 0.01), <strong data-start=\"4552\" data-end=\"4561\">Theta<\/strong> \u2193 (t = \u22123.736, p &lt; 0.01)<\/p>\n<\/li>\n<li data-start=\"4589\" data-end=\"4857\">\n<p data-start=\"4591\" data-end=\"4857\"><strong data-start=\"4591\" data-end=\"4600\">Alpha<\/strong> \u2191 (t = 4.455, p &lt; 0.01), <strong data-start=\"4626\" data-end=\"4634\">Beta<\/strong> \u2191 (t = 3.221, p &lt; 0.01), <strong data-start=\"4660\" data-end=\"4669\">Gamma<\/strong> \u2191 (t = 2.658, p &lt; 0.01)<br data-start=\"4693\" data-end=\"4696\" \/>Directional effects: <strong data-start=\"4717\" data-end=\"4732\">suppression<\/strong> of delta\/theta increase seen with sham and <strong data-start=\"4776\" data-end=\"4792\">facilitation<\/strong> of alpha\/beta\/gamma power. <span class=\"\" data-state=\"closed\"><span class=\"ms-1 inline-flex max-w-full items-center relative top-&#091;-0.094rem&#093; animate-&#091;show_150ms_ease-in&#093;\" data-testid=\"webpage-citation-pill\"><a class=\"flex h-4.5 overflow-hidden rounded-xl px-2 text-&#091;9px&#093; font-medium text-token-text-secondary! bg-&#091;#F4F4F4&#093;! dark:bg-&#091;#303030&#093;! transition-colors duration-150 ease-in-out\" href=\"https:\/\/www.nature.com\/articles\/s41598-019-42693-x.pdf\" target=\"_blank\" rel=\"noopener\"><span class=\"relative start-0 bottom-0 flex h-full w-full items-center\"><span class=\"flex h-4 w-full items-center justify-between overflow-hidden\"><span class=\"max-w-full grow truncate overflow-hidden text-center\">Nature<\/span><\/span><\/span><\/a><\/span><\/span><\/p>\n<\/li>\n<\/ul>\n<div id=\"attachment_50529\" style=\"width: 1000px\" class=\"wp-caption alignnone\"><img decoding=\"async\" aria-describedby=\"caption-attachment-50529\" class=\"wp-image-50529 \" src=\"https:\/\/www.vielight.com\/wp-content\/uploads\/2025\/08\/Nature-vielight-brain-pbm-2.jpg\" alt=\"\" width=\"990\" height=\"683\" srcset=\"https:\/\/www.vielight.com\/wp-content\/uploads\/2025\/08\/Nature-vielight-brain-pbm-2-200x138.jpg 200w, https:\/\/www.vielight.com\/wp-content\/uploads\/2025\/08\/Nature-vielight-brain-pbm-2-300x207.jpg 300w, https:\/\/www.vielight.com\/wp-content\/uploads\/2025\/08\/Nature-vielight-brain-pbm-2-400x276.jpg 400w, https:\/\/www.vielight.com\/wp-content\/uploads\/2025\/08\/Nature-vielight-brain-pbm-2-500x345.jpg 500w, https:\/\/www.vielight.com\/wp-content\/uploads\/2025\/08\/Nature-vielight-brain-pbm-2-600x414.jpg 600w, https:\/\/www.vielight.com\/wp-content\/uploads\/2025\/08\/Nature-vielight-brain-pbm-2-700x483.jpg 700w, https:\/\/www.vielight.com\/wp-content\/uploads\/2025\/08\/Nature-vielight-brain-pbm-2-768x530.jpg 768w, https:\/\/www.vielight.com\/wp-content\/uploads\/2025\/08\/Nature-vielight-brain-pbm-2-800x552.jpg 800w, https:\/\/www.vielight.com\/wp-content\/uploads\/2025\/08\/Nature-vielight-brain-pbm-2-1024x707.jpg 1024w, https:\/\/www.vielight.com\/wp-content\/uploads\/2025\/08\/Nature-vielight-brain-pbm-2.jpg 1078w\" sizes=\"(max-width: 990px) 100vw, 990px\" \/><p id=\"caption-attachment-50529\" class=\"wp-caption-text\">Figure 4. Influence of tPBM on resting-state electroencephalography.<\/p><\/div>\n<h3 data-start=\"4859\" data-end=\"4918\">Network connectivity &amp; synchrony (wPLI + graph metrics)<\/h3>\n<p data-start=\"4919\" data-end=\"5414\">Active tPBM induced <strong data-start=\"4939\" data-end=\"4968\">statistically significant<\/strong> changes in <strong data-start=\"4980\" data-end=\"4994\">clustering<\/strong>, <strong data-start=\"4996\" data-end=\"5032\">characteristic path length (CPL)<\/strong>, and <strong data-start=\"5038\" data-end=\"5065\">local\/global efficiency<\/strong> across sparsity thresholds, with the <strong data-start=\"5103\" data-end=\"5142\">strongest effects in the alpha band<\/strong>; <strong data-start=\"5144\" data-end=\"5169\">no comparable changes<\/strong> occurred under sham. Global efficiency changes were also detected in alpha and gamma ranges. Together, these indicate <strong data-start=\"5288\" data-end=\"5348\">reorganization of functional integration and segregation<\/strong> following a single session.<\/p>\n<h3 data-start=\"5416\" data-end=\"5445\">DMN-linked interpretation<\/h3>\n<p data-start=\"5446\" data-end=\"5770\">Given the <strong data-start=\"5456\" data-end=\"5479\">DMN-centric montage<\/strong>, the authors note that increases in <strong data-start=\"5516\" data-end=\"5525\">alpha<\/strong> (posterior DMN) and <strong data-start=\"5546\" data-end=\"5555\">gamma<\/strong> (mPFC) are consistent with literature connecting these rhythms to DMN function and attentional gating. The pattern suggests <strong data-start=\"5680\" data-end=\"5712\">greater network organization<\/strong> post-stimulation.<\/p>\n<hr data-start=\"5772\" data-end=\"5775\" \/>\n<h2 data-start=\"5777\" data-end=\"5822\">Why this matters (scientific implications)<\/h2>\n<ol data-start=\"5824\" data-end=\"6742\">\n<li data-start=\"5824\" data-end=\"6121\">\n<p data-start=\"5827\" data-end=\"6121\"><strong data-start=\"5827\" data-end=\"5869\">Mechanistic neuromodulation in humans:<\/strong> Under stringent controls, 40 Hz\/810 nm <strong data-start=\"5909\" data-end=\"5950\">non-invasively modulated oscillations<\/strong> and <strong data-start=\"5955\" data-end=\"5975\">network topology<\/strong>\u2014a benchmark for tPBM as a bona fide <strong data-start=\"6012\" data-end=\"6031\">neuromodulatory<\/strong> modality (not merely hemodynamic or metabolic).<\/p>\n<\/li>\n<li data-start=\"6122\" data-end=\"6427\">\n<p data-start=\"6125\" data-end=\"6427\"><strong data-start=\"6125\" data-end=\"6149\">Rhythmicity matters:<\/strong> The <strong data-start=\"6154\" data-end=\"6182\">pulsing at 40 Hz (gamma)<\/strong> likely contributed\u2014aligning with inhibitory control, binding, and attention models. Parameterization (wavelength, pulse rate, montage) therefore becomes a tractable \u201cdesign space\u201d for targeted outcomes.<\/p>\n<\/li>\n<li data-start=\"6428\" data-end=\"6742\">\n<p data-start=\"6431\" data-end=\"6742\"><strong data-start=\"6431\" data-end=\"6457\">Network-level targets:<\/strong> Changes in <strong data-start=\"6469\" data-end=\"6500\">clustering, CPL, efficiency<\/strong> offer <strong data-start=\"6507\" data-end=\"6533\">quantitative endpoints<\/strong> beyond band power\u2014useful for designing protocols that aim to <strong data-start=\"6595\" data-end=\"6621\">normalize DMN dynamics<\/strong> (e.g., conditions characterized by alpha\/gamma deficits and delta\/theta excess).<\/p>\n<\/li>\n<\/ol>\n<hr data-start=\"6744\" data-end=\"6747\" \/>\n<h2 data-start=\"6749\" data-end=\"6792\">Clinical implications of this study<\/h2>\n<h3 data-start=\"84\" data-end=\"129\">1. <strong data-start=\"91\" data-end=\"129\">Proof of Neuromodulation in Humans<\/strong><\/h3>\n<ul data-start=\"130\" data-end=\"636\">\n<li data-start=\"130\" data-end=\"254\">\n<p data-start=\"132\" data-end=\"254\">The findings show that <strong data-start=\"155\" data-end=\"238\">Vielight Neuro Gamma is capable of non-invasively modulating brain oscillations<\/strong> in real time.<\/p>\n<\/li>\n<li data-start=\"255\" data-end=\"508\">\n<p data-start=\"257\" data-end=\"508\">The shift toward increased <strong data-start=\"284\" data-end=\"319\">alpha, beta, and gamma activity<\/strong> with concurrent decreases in <strong data-start=\"349\" data-end=\"368\">delta and theta<\/strong> indicates a move toward more <strong data-start=\"398\" data-end=\"444\">alert, engaged, and efficient brain states<\/strong>, which are typically associated with cognition and attention.<\/p>\n<\/li>\n<li data-start=\"509\" data-end=\"636\">\n<p data-start=\"511\" data-end=\"636\">This establishes that transcranial + intranasal PBM isn\u2019t just delivering NIR light, it is measurably reorganizing brain networks.<\/p>\n<\/li>\n<\/ul>\n<hr data-start=\"638\" data-end=\"641\" \/>\n<h3 data-start=\"643\" data-end=\"685\">2. <strong data-start=\"650\" data-end=\"685\">Functional Network Optimization<\/strong><\/h3>\n<ul data-start=\"686\" data-end=\"1199\">\n<li data-start=\"686\" data-end=\"844\">\n<p data-start=\"688\" data-end=\"844\">The improvements in <strong data-start=\"708\" data-end=\"733\">graph-theory measures<\/strong> (clustering, path length, efficiency) point toward <strong data-start=\"785\" data-end=\"841\">enhanced brain network integration and communication<\/strong>.<\/p>\n<\/li>\n<li data-start=\"845\" data-end=\"1028\">\n<p data-start=\"847\" data-end=\"1028\">These are the same network-level metrics that are impaired in <strong data-start=\"909\" data-end=\"972\">neurodegenerative diseases (e.g., Alzheimer\u2019s, Parkinson\u2019s)<\/strong>, <strong data-start=\"974\" data-end=\"1000\">traumatic brain injury<\/strong>, and <strong data-start=\"1006\" data-end=\"1025\">cognitive aging<\/strong>.<\/p>\n<\/li>\n<li data-start=\"1029\" data-end=\"1199\">\n<p data-start=\"1031\" data-end=\"1199\">The implication: if a single 20-minute session can shift networks in healthy older adults, repeated sessions may hold <strong data-start=\"1149\" data-end=\"1198\">therapeutic potential in clinical populations<\/strong>.<\/p>\n<\/li>\n<\/ul>\n<hr data-start=\"1201\" data-end=\"1204\" \/>\n<h3 data-start=\"1206\" data-end=\"1270\">3. <strong data-start=\"1213\" data-end=\"1270\">Bridge Between Basic Science and Clinical Application<\/strong><\/h3>\n<ul data-start=\"1271\" data-end=\"1653\">\n<li data-start=\"1271\" data-end=\"1484\">\n<p data-start=\"1273\" data-end=\"1484\">Published in a <strong data-start=\"1288\" data-end=\"1337\">Nature Portfolio journal (Scientific Reports)<\/strong>, this gives strong credibility to PBM as a <strong data-start=\"1381\" data-end=\"1409\">neuromodulation modality<\/strong>-on par conceptually with TMS or tDCS, but <strong data-start=\"1452\" data-end=\"1481\">non-invasive and low-risk<\/strong>.<\/p>\n<\/li>\n<li data-start=\"1485\" data-end=\"1653\">\n<p data-start=\"1487\" data-end=\"1653\">This sets a scientific foundation for expanding trials into <strong data-start=\"1547\" data-end=\"1650\">clinical populations with cognitive decline, mood disorders, TBI, or performance optimization needs<\/strong>.<\/p>\n<\/li>\n<\/ul>\n<hr data-start=\"1655\" data-end=\"1658\" \/>\n<h3 data-start=\"1660\" data-end=\"1698\">4. <strong data-start=\"1667\" data-end=\"1698\">Early Biomarker of Efficacy<\/strong><\/h3>\n<ul data-start=\"1699\" data-end=\"1946\">\n<li data-start=\"1699\" data-end=\"1764\">\n<p data-start=\"1701\" data-end=\"1764\">EEG and connectivity changes are <strong data-start=\"1734\" data-end=\"1761\">quantifiable biomarkers<\/strong>.<\/p>\n<\/li>\n<li data-start=\"1765\" data-end=\"1946\">\n<p data-start=\"1767\" data-end=\"1946\">Having objective measures allows clinicians to <strong data-start=\"1814\" data-end=\"1845\">track response to treatment<\/strong> and tailor protocols, which is critical for PBM to be accepted in mainstream neurology\/psychiatry.<\/p>\n<\/li>\n<\/ul>\n<hr data-start=\"1948\" data-end=\"1951\" \/>\n<p data-start=\"1953\" data-end=\"2438\"><strong data-start=\"1955\" data-end=\"1991\">Clinical Implication (in short):<\/strong><br data-start=\"1991\" data-end=\"1994\" \/>This study provides high-level evidence that a single Vielight Neuro Gamma session produces measurable neuromodulation in the aging human brain. The changes in oscillatory activity and network efficiency are highly relevant to conditions marked by disrupted brain rhythms and connectivity (e.g., dementia, TBI, depression). It positions PBM as a credible, non-invasive therapeutic candidate and justifies larger, longitudinal clinical trials.<\/p>\n<hr data-start=\"6744\" data-end=\"6747\" \/>\n<h2 data-start=\"6749\" data-end=\"6792\">Practical implications for neurofeedback<\/h2>\n<ul data-start=\"6793\" data-end=\"7394\">\n<li data-start=\"6793\" data-end=\"7063\">\n<p data-start=\"6795\" data-end=\"7063\"><strong data-start=\"6795\" data-end=\"6821\">Actionable biomarkers:<\/strong> The <strong data-start=\"6826\" data-end=\"6846\">\u2191alpha\/\u03b2\/\u03b3, \u2193\u03b4\/\u03b8<\/strong> signature can serve as <strong data-start=\"6870\" data-end=\"6899\">pre-\/post-session metrics<\/strong> or <strong data-start=\"6903\" data-end=\"6925\">training setpoints<\/strong>, potentially shortening session times by <strong data-start=\"6967\" data-end=\"6987\">pre-conditioning<\/strong> networks before operant training.<\/p>\n<\/li>\n<li data-start=\"7064\" data-end=\"7394\">\n<p data-start=\"7066\" data-end=\"7394\"><strong data-start=\"7066\" data-end=\"7094\">Network-aware protocols:<\/strong> Because <strong data-start=\"7103\" data-end=\"7130\">integration\/segregation<\/strong> measures changed, practitioners can track <strong data-start=\"7173\" data-end=\"7202\">wPLI-derived connectivity<\/strong> and <strong data-start=\"7207\" data-end=\"7221\">efficiency<\/strong> as <strong data-start=\"7225\" data-end=\"7247\">secondary outcomes<\/strong>, aligning neurofeedback goals with network-level normalization rather than single-electrode metrics alone.<\/p>\n<\/li>\n<\/ul>\n<hr data-start=\"7396\" data-end=\"7399\" \/>\n<h2 data-start=\"7401\" data-end=\"7455\">Implications for AI and closed-loop neuromodulation<\/h2>\n<ul data-start=\"7456\" data-end=\"8028\">\n<li data-start=\"7456\" data-end=\"7688\">\n<p data-start=\"7458\" data-end=\"7688\"><strong data-start=\"7458\" data-end=\"7484\">Real-time controllers:<\/strong> EEG power and wPLI-based metrics evolve quickly and can be <strong data-start=\"7544\" data-end=\"7563\">optimized by AI<\/strong> (e.g., reinforcement learning) to adapt <strong data-start=\"7604\" data-end=\"7624\">pulse parameters<\/strong> (timing, duty cycle, emitter grouping) toward desired states.<\/p>\n<\/li>\n<li data-start=\"7689\" data-end=\"8028\">\n<p data-start=\"7691\" data-end=\"8028\"><strong data-start=\"7691\" data-end=\"7723\">Multimodal causal structure:<\/strong> New Nature-Portfolio work demonstrates <strong data-start=\"7763\" data-end=\"7784\">directed coupling<\/strong> among <strong data-start=\"7791\" data-end=\"7857\">EEG, hemodynamics (HbO), and metabolism (cytochrome-c-oxidase)<\/strong> following tPBM\u2014providing rich supervisory signals for <strong data-start=\"7912\" data-end=\"7929\">multimodal AI<\/strong> to learn <strong data-start=\"7939\" data-end=\"7966\">causal control policies<\/strong> for closed-loop tPBM. <span class=\"\" data-state=\"closed\"><span class=\"ms-1 inline-flex max-w-full items-center relative top-&#091;-0.094rem&#093; animate-&#091;show_150ms_ease-in&#093;\" data-testid=\"webpage-citation-pill\"><a class=\"flex h-4.5 overflow-hidden rounded-xl px-2 text-&#091;9px&#093; font-medium text-token-text-secondary! bg-&#091;#F4F4F4&#093;! dark:bg-&#091;#303030&#093;! transition-colors duration-150 ease-in-out\" href=\"https:\/\/www.nature.com\/articles\/s41598-024-59879-7?utm_source=chatgpt.com\" target=\"_blank\" rel=\"noopener\"><span class=\"relative start-0 bottom-0 flex h-full w-full items-center\"><span class=\"flex h-4 w-full items-center justify-between overflow-hidden\"><span class=\"max-w-full grow truncate overflow-hidden text-center\">Nature<\/span><\/span><\/span><\/a><\/span><\/span><\/p>\n<\/li>\n<\/ul>\n<hr data-start=\"8030\" data-end=\"8033\" \/>\n<h2 data-start=\"8035\" data-end=\"8049\">Limitations<\/h2>\n<ul data-start=\"8050\" data-end=\"8391\">\n<li data-start=\"8178\" data-end=\"8323\">\n<p data-start=\"8180\" data-end=\"8323\">Network effects depend on <strong data-start=\"8206\" data-end=\"8229\">sparsity thresholds<\/strong> and <strong data-start=\"8234\" data-end=\"8264\">graph-construction choices<\/strong>; replication with pre-registered pipelines is warranted.<\/p>\n<\/li>\n<\/ul>\n<hr data-start=\"8393\" data-end=\"8396\" \/>\n<\/div><\/div><\/div><\/div><\/div>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":50532,"comment_status":"closed","ping_status":"closed","sticky":true,"template":"","format":"standard","meta":{"_acf_changed":false,"bwfblock_default_font":"","inline_featured_image":false,"mc4wp_mailchimp_campaign":[],"footnotes":""},"categories":[2741,3110,3111,475,16,1031],"tags":[],"class_list":["post-50522","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-intranasal-photobiomodulation","category-neurofeedback","category-neuromodulation","category-photobiomodulation","category-scientific-research","category-transcranial-photobiomodulation"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.vielight.com\/wp-json\/wp\/v2\/posts\/50522","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.vielight.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.vielight.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.vielight.com\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.vielight.com\/wp-json\/wp\/v2\/comments?post=50522"}],"version-history":[{"count":0,"href":"https:\/\/www.vielight.com\/wp-json\/wp\/v2\/posts\/50522\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.vielight.com\/wp-json\/wp\/v2\/media\/50532"}],"wp:attachment":[{"href":"https:\/\/www.vielight.com\/wp-json\/wp\/v2\/media?parent=50522"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.vielight.com\/wp-json\/wp\/v2\/categories?post=50522"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.vielight.com\/wp-json\/wp\/v2\/tags?post=50522"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}