{"id":1953,"date":"2025-10-30T03:19:47","date_gmt":"2025-10-30T03:19:47","guid":{"rendered":"https:\/\/antoniosdougalis.com\/?p=1953"},"modified":"2025-11-03T02:16:59","modified_gmt":"2025-11-03T02:16:59","slug":"early-alzheimers-disease-pathology-copy","status":"publish","type":"post","link":"https:\/\/antoniosdougalis.com\/?p=1953","title":{"rendered":"EEG BIOMARKERS VIA MACHINE LEARNING ANALYSIS"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"1953\" class=\"elementor elementor-1953\">\n\t\t\t\t<div class=\"elementor-element elementor-element-35c295c2 e-flex e-con-boxed e-con e-parent\" data-id=\"35c295c2\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-140fee0d elementor-widget-laptop__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"140fee0d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><a class=\"snYhYMSujRgWjQMdrAQOfLWAyxRIptJbQ \" tabindex=\"0\" href=\"https:\/\/www.linkedin.com\/search\/results\/all\/?keywords=%23eeg&amp;origin=HASH_TAG_FROM_FEED\" data-test-app-aware-link=\"\"><span aria-hidden=\"true\">#<\/span>EEG<\/a> Neurobiomarkers via Machine learning <a class=\"snYhYMSujRgWjQMdrAQOfLWAyxRIptJbQ \" tabindex=\"0\" href=\"https:\/\/www.linkedin.com\/search\/results\/all\/?keywords=%23machinelearning&amp;origin=HASH_TAG_FROM_FEED\" data-test-app-aware-link=\"\"><span aria-hidden=\"true\">#<\/span>machinelearning<\/a> analysis in <a class=\"snYhYMSujRgWjQMdrAQOfLWAyxRIptJbQ \" tabindex=\"0\" href=\"https:\/\/www.linkedin.com\/search\/results\/all\/?keywords=%23neuroscience&amp;origin=HASH_TAG_FROM_FEED\" data-test-app-aware-link=\"\"><span aria-hidden=\"true\">#<\/span>neuroscience<\/a> <a class=\"snYhYMSujRgWjQMdrAQOfLWAyxRIptJbQ \" tabindex=\"0\" href=\"https:\/\/www.linkedin.com\/search\/results\/all\/?keywords=%23dataanalysis&amp;origin=HASH_TAG_FROM_FEED\" data-test-app-aware-link=\"\"><span aria-hidden=\"true\">#<\/span>dataanalysis<\/a>, <a class=\"snYhYMSujRgWjQMdrAQOfLWAyxRIptJbQ \" tabindex=\"0\" href=\"https:\/\/www.linkedin.com\/search\/results\/all\/?keywords=%23sleep&amp;origin=HASH_TAG_FROM_FEED\" data-test-app-aware-link=\"\"><span aria-hidden=\"true\">#<\/span>sleep<\/a><br \/><br \/>I have recently been talking about machine learning tools and applications in neuroscience in a rather cryptic manner.<br \/><br \/>To give you some context over my interests in neuroscience and modern <a class=\"snYhYMSujRgWjQMdrAQOfLWAyxRIptJbQ \" tabindex=\"0\" href=\"https:\/\/www.linkedin.com\/search\/results\/all\/?keywords=%23ml&amp;origin=HASH_TAG_FROM_FEED\" data-test-app-aware-link=\"\"><span aria-hidden=\"true\">#<\/span>ML<\/a> tools, below I attach one of my favourite manuscripts that applies machine learning &amp; statistical tools for state- feature classification of EEG data from humans under ketamine anaesthesia using a five state hidden Markov model (HMM).<br \/><br \/><a class=\"snYhYMSujRgWjQMdrAQOfLWAyxRIptJbQ \" tabindex=\"0\" href=\"https:\/\/lnkd.in\/eWD7jtTi\" target=\"_self\" data-test-app-aware-link=\"\">https:\/\/lnkd.in\/eWD7jtTi<\/a><br \/>Garwood IC, Chakravarty S, Donoghue J, Mahnke M, Kahali P, Chamadia S, Akeju O, Miller EK, Brown EN. A hidden Markov model reliably characterizes ketamine-induced spectral dynamics in macaque local field potentials and human electroencephalograms. PLoS Comput Biol. 2021 Aug 18;17(8):e1009280. doi: 10.1371\/journal.pcbi.1009280. PMID: 34407069; PMCID: PMC8405019.<br \/><br \/>The code for their routines, that is written exclusively in MatLab, can be found here:<br \/><a class=\"snYhYMSujRgWjQMdrAQOfLWAyxRIptJbQ \" tabindex=\"0\" href=\"https:\/\/lnkd.in\/eC7bQXeJ\" target=\"_self\" data-test-app-aware-link=\"\">https:\/\/lnkd.in\/eC7bQXeJ<\/a><br \/><br \/>Algorithms like these presented can classify features from long stretches of EEG data with high reliability and can be used to address issues of sleep-wakefulness architecture and link those to underlying pathology given clinical data are also available. <br \/><br \/>Ultimately, deriving neurobiomarkers as EEG features from specific disease, genetic or neurodevelopmental status could be possible. <br \/>Just think of the potential this has in disease diagnosis, classification, severity scoring and progression.<br \/><br \/>Despite the modernity of these tools the indispensable reading material for anyone interested in the applications in this field comprises the two following works:<br \/><br \/>Machine Learning Toolbox, Version 1.00, Zoubin Ghahramani, University of <br \/>Toronto (1996)<br \/>Hidden Markov Model (HMM) Toolbox, Kevin Murphy (1998)<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>#EEG Neurobiomarkers via Machine learning #machinelearning analysis in #neuroscience #dataanalysis, #sleep I have recently been talking about machine learning tools and applications in neuroscience in a rather cryptic manner. To give you some context over my interests in neuroscience and modern #ML tools, below I attach one of my favourite manuscripts that applies machine learning [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":1958,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_eb_attr":"","footnotes":""},"categories":[1],"tags":[],"class_list":["post-1953","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized","entry","has-media"],"_links":{"self":[{"href":"https:\/\/antoniosdougalis.com\/index.php?rest_route=\/wp\/v2\/posts\/1953","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/antoniosdougalis.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/antoniosdougalis.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/antoniosdougalis.com\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/antoniosdougalis.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1953"}],"version-history":[{"count":6,"href":"https:\/\/antoniosdougalis.com\/index.php?rest_route=\/wp\/v2\/posts\/1953\/revisions"}],"predecessor-version":[{"id":2088,"href":"https:\/\/antoniosdougalis.com\/index.php?rest_route=\/wp\/v2\/posts\/1953\/revisions\/2088"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/antoniosdougalis.com\/index.php?rest_route=\/wp\/v2\/media\/1958"}],"wp:attachment":[{"href":"https:\/\/antoniosdougalis.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1953"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/antoniosdougalis.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1953"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/antoniosdougalis.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1953"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}