{"id":27369,"date":"2025-07-18T18:15:13","date_gmt":"2025-07-18T18:15:13","guid":{"rendered":"https:\/\/www.tun.com\/home\/?p=27369"},"modified":"2025-07-18T18:15:15","modified_gmt":"2025-07-18T18:15:15","slug":"new-brain-wave-imaging-technology-could-accelerate-disease-research-ai","status":"publish","type":"post","link":"https:\/\/www.tun.com\/home\/new-brain-wave-imaging-technology-could-accelerate-disease-research-ai\/","title":{"rendered":"New Brain Wave Imaging Technology Could Accelerate Disease Research, AI"},"content":{"rendered":"\n<div class=\"wp-block-group\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n<div class=\"wp-block-uagb-blockquote uagb-block-e7eb3fc3 uagb-blockquote__skin-border uagb-blockquote__stack-img-none\"><blockquote class=\"uagb-blockquote\"><div class=\"uagb-blockquote__content\">A team led by Stanford University has introduced cutting-edge optical technology that vividly images brain waves in mice, offering new insights for disease research and AI development.<\/div><footer><div class=\"uagb-blockquote__author-wrap uagb-blockquote__author-at-left\"><\/div><\/footer><\/blockquote><\/div>\n\n\n\n<div class=\"wp-block-group is-content-justification-space-between is-nowrap is-layout-flex wp-container-core-group-is-layout-b0ffac9c wp-block-group-is-layout-flex\"><div style=\"font-size:16px\" class=\"has-text-align-left wp-block-post-author\"><div class=\"wp-block-post-author__content\"><p class=\"wp-block-post-author__name\">The University Network<\/p><\/div><\/div>\n\n\n<div class=\"wp-block-uagb-social-share uagb-social-share__outer-wrap uagb-social-share__layout-horizontal uagb-block-ee584a31\">\n<div class=\"wp-block-uagb-social-share-child uagb-ss-repeater uagb-ss__wrapper uagb-block-ec619ce7\"><span class=\"uagb-ss__link\" data-href=\"https:\/\/www.facebook.com\/sharer.php?u=\" tabindex=\"0\" role=\"button\" aria-label=\"facebook\"><span class=\"uagb-ss__source-wrap\"><span class=\"uagb-ss__source-icon\"><svg xmlns=\"https:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 512 512\"><path d=\"M504 256C504 119 393 8 256 8S8 119 8 256c0 123.8 90.69 226.4 209.3 245V327.7h-63V256h63v-54.64c0-62.15 37-96.48 93.67-96.48 27.14 0 55.52 4.84 55.52 4.84v61h-31.28c-30.8 0-40.41 19.12-40.41 38.73V256h68.78l-11 71.69h-57.78V501C413.3 482.4 504 379.8 504 256z\"><\/path><\/svg><\/span><\/span><\/span><\/div>\n\n\n\n<div class=\"wp-block-uagb-social-share-child uagb-ss-repeater uagb-ss__wrapper uagb-block-32d99934\"><span class=\"uagb-ss__link\" data-href=\"https:\/\/twitter.com\/share?url=\" tabindex=\"0\" role=\"button\" aria-label=\"twitter\"><span class=\"uagb-ss__source-wrap\"><span class=\"uagb-ss__source-icon\"><svg xmlns=\"https:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 512 512\"><path d=\"M389.2 48h70.6L305.6 224.2 487 464H345L233.7 318.6 106.5 464H35.8L200.7 275.5 26.8 48H172.4L272.9 180.9 389.2 48zM364.4 421.8h39.1L151.1 88h-42L364.4 421.8z\"><\/path><\/svg><\/span><\/span><\/span><\/div>\n\n\n\n<div class=\"wp-block-uagb-social-share-child uagb-ss-repeater uagb-ss__wrapper uagb-block-1d136f14\"><span class=\"uagb-ss__link\" data-href=\"https:\/\/www.linkedin.com\/shareArticle?url=\" tabindex=\"0\" role=\"button\" aria-label=\"linkedin\"><span class=\"uagb-ss__source-wrap\"><span class=\"uagb-ss__source-icon\"><svg xmlns=\"https:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 448 512\"><path d=\"M416 32H31.9C14.3 32 0 46.5 0 64.3v383.4C0 465.5 14.3 480 31.9 480H416c17.6 0 32-14.5 32-32.3V64.3c0-17.8-14.4-32.3-32-32.3zM135.4 416H69V202.2h66.5V416zm-33.2-243c-21.3 0-38.5-17.3-38.5-38.5S80.9 96 102.2 96c21.2 0 38.5 17.3 38.5 38.5 0 21.3-17.2 38.5-38.5 38.5zm282.1 243h-66.4V312c0-24.8-.5-56.7-34.5-56.7-34.6 0-39.9 27-39.9 54.9V416h-66.4V202.2h63.7v29.2h.9c8.9-16.8 30.6-34.5 62.9-34.5 67.2 0 79.7 44.3 79.7 101.9V416z\"><\/path><\/svg><\/span><\/span><\/span><\/div>\n<\/div>\n<\/div>\n\n\n\n<p class=\"wp-block-paragraph\">Scientists have once again pushed the boundaries of neuroimaging, this time with a groundbreaking optical technology that captures the intricate motion of brain waves in ways never seen before. Developed by a Stanford University-led team, this innovative method could significantly advance research in brain diseases and artificial intelligence.<\/p>\n<\/div><\/div>\n\n\n\n<p class=\"wp-block-paragraph\">The study, <a href=\"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0092867425007305\" target=\"_blank\" rel=\"noopener\" title=\"\">published<\/a> in the journal Cell, introduces two ultra-sensitive optical instruments capable of detecting signals from genetically engineered proteins called voltage indicators. These instruments can reveal the detailed activities of neurons in the brains of mice.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">&#8220;This technology allows us to look at multiple brain areas at once and see the brain waves sweeping across the cortex with cell-type specificity,&#8221; senior author Mark J. Schnitzer, a professor of biology and applied physics in Stanford\u2019s School of Humanities and Sciences, said in a news release.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Unlike traditional electrical methods like electroencephalography (EEG), which detect individual spots of brain activity, Schnitzer&#8217;s team employs light-based technology to image brain waves as they travel. This novel technique provides a real-time look at waves tied to specific neuron types.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The significance of brain waves, first identified over a century ago by German physician Hans Berger, is immense. Scientists now understand that abnormalities in these waves are linked to various diseases, including Parkinson&#8217;s, Alzheimer&#8217;s, epilepsy and schizophrenia. <\/p>\n\n\n\n<p class=\"wp-block-paragraph\">However, pinpointing the exact neuron types responsible for these waves has been challenging \u2014 until now.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This new technology could open many avenues for neuroscience research and artificial intelligence development.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u201cThere are a lot of very important applications in the field of neuroscience for understanding pathology and different dynamics in the brain,\u201d added lead author Simon Haziza, a Stanford research scientist.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This breakthrough stems from over a decade of work on optical imaging techniques called TEMPO. First reported in 2016, the latest instruments include a fiber optic sensor \u2014 10 times more sensitive than previous versions \u2014 and an optical mesoscope, capable of providing an 8 mm-wide image of the mouse brain\u2019s neocortex.<\/p>\n\n\n\n<div style=\"height:19px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<figure class=\"wp-block-embed aligncenter is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe loading=\"lazy\" title=\"Mark Schnitzer Lab, Brain Waves\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube.com\/embed\/6vj5qnxciFc?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe>\n<\/div><\/figure>\n\n\n\n<p class=\"has-text-align-center wp-block-paragraph\"><em>Credit: <\/em>Video by the Schnitzer Lab\/Stanford University; copyright the journal\u00a0<em>Cell<\/em><\/p>\n\n\n\n<div style=\"height:4px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p class=\"wp-block-paragraph\">With these tools, the researchers observed several previously undetected waves. Among them were two types of higher frequency beta waves, associated with alert mental activity, traveling at right angles, and a low-frequency theta wave, traditionally linked to memory processing, moving in reverse \u2014 a phenomenon that may mirror learning processes in artificial intelligence.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">&#8220;It seems the brain has an internal clock that synchronizes neural activity, but these traveling waves may also actively reorganize neural circuits across large distances, beyond just local connections,&#8221; added co-lead author Rados\u0142aw Chrapkiewicz, a director of engineering in Schnitzer\u2019s lab.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The implications of these findings are vast. Understanding these new brain wave patterns could illuminate the underlying mechanisms of neural disorders and inspire the creation of more sophisticated bio-inspired AI models.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">While the research is still in its infancy, the potential applications are promising. <\/p>\n\n\n\n<p class=\"wp-block-paragraph\">&#8220;We are just scratching the surface,&#8221; Haziza added.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Schnitzer also credits Vasily Kruzhilin, a doctoral student in applied physics, and Yanping Zhang, a biology research specialist, for their significant contributions. Additional co-authors include Jane Li, Jizhou Li and Geoffroy Delamare from Stanford, as well as collaborators from the Allen Institute of Brain Science, New York University and the University of Minnesota.<\/p>\n\n\n\n<div style=\"height:12px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Source: <\/strong><a href=\"https:\/\/humsci.stanford.edu\/feature\/new-tech-imaging-brain-waves-could-advance-disease-research-ai\" target=\"_blank\" rel=\"noopener\" title=\"\">Stanford School of Humanities and Sciences<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Scientists have once again pushed the boundaries of neuroimaging, this time with a groundbreaking optical technology that captures the intricate motion of brain waves in ways never seen before. Developed by a Stanford University-led team, this innovative method could significantly advance research in brain diseases and artificial intelligence. The study, published in the journal Cell, [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"single-no-separators","format":"standard","meta":{"_acf_changed":false,"_uag_custom_page_level_css":"","_monsterinsights_skip_tracking":false,"footnotes":""},"categories":[25],"tags":[59,53,104],"class_list":["post-27369","post","type-post","status-publish","format-standard","hentry","category-science","tag-nyu","tag-stanford-university","tag-university-of-minnesota"],"acf":[],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 4.9.8 - aioseo.com -->\n\t<meta name=\"description\" content=\"Study unveils a revolutionary optical technology that captures brain waves in mice with unparalleled clarity, potentially advancing disease research and AI.\" \/>\n\t<meta name=\"robots\" content=\"max-image-preview:large\" \/>\n\t<meta name=\"author\" content=\"The University Network\"\/>\n\t<link rel=\"canonical\" href=\"https:\/\/www.tun.com\/home\/new-brain-wave-imaging-technology-could-accelerate-disease-research-ai\/\" \/>\n\t<meta name=\"generator\" content=\"All in One SEO (AIOSEO) 4.9.8\" \/>\n\t\t<meta property=\"og:locale\" content=\"en_US\" \/>\n\t\t<meta property=\"og:site_name\" content=\"TUN - 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