{"id":3276,"date":"2026-02-12T01:24:20","date_gmt":"2026-02-12T01:24:20","guid":{"rendered":"https:\/\/medicine.nus.edu.sg\/medphc\/?p=3276"},"modified":"2026-02-12T05:22:56","modified_gmt":"2026-02-12T05:22:56","slug":"longer-scans-boost-prediction-and-cut-costs-in-brain-wide-association-studies","status":"publish","type":"post","link":"https:\/\/medicine.nus.edu.sg\/medphc\/publications\/longer-scans-boost-prediction-and-cut-costs-in-brain-wide-association-studies\/","title":{"rendered":"Longer scans boost prediction and cut costs in brain-wide association studies"},"content":{"rendered":"<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-3280\" src=\"https:\/\/medicine.nus.edu.sg\/medphc\/wp-content\/uploads\/sites\/33\/2026\/02\/20250716-CC-1-300x169.jpg\" alt=\"\" width=\"801\" height=\"451\" srcset=\"https:\/\/medicine.nus.edu.sg\/medphc\/wp-content\/uploads\/sites\/33\/2026\/02\/20250716-CC-1-300x169.jpg 300w, https:\/\/medicine.nus.edu.sg\/medphc\/wp-content\/uploads\/sites\/33\/2026\/02\/20250716-CC-1-1024x576.jpg 1024w, https:\/\/medicine.nus.edu.sg\/medphc\/wp-content\/uploads\/sites\/33\/2026\/02\/20250716-CC-1-768x432.jpg 768w, https:\/\/medicine.nus.edu.sg\/medphc\/wp-content\/uploads\/sites\/33\/2026\/02\/20250716-CC-1.jpg 1280w\" sizes=\"auto, (max-width: 801px) 100vw, 801px\" \/><\/p>\n<h2 id=\"Abs1\" class=\"c-article-section__title js-section-title js-c-reading-companion-sections-item\">Abstract<\/h2>\n<p>A pervasive dilemma in brain-wide association studies<sup><a id=\"ref-link-section-d101504585e1529\" title=\"Marek, S. et al. Reproducible brain-wide association studies require thousands of individuals. Nature 603, 654\u2013660 (2022).\" href=\"https:\/\/www.nature.com\/articles\/s41586-025-09250-1#ref-CR1\" data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 1\">1<\/a><\/sup> (BWAS) is whether to prioritize functional magnetic resonance imaging (fMRI) scan time or sample size. We derive a theoretical model showing that individual-level phenotypic prediction accuracy increases with sample size and total scan duration (sample size\u2009\u00d7\u2009scan time per participant). The model explains empirical prediction accuracies well across 76 phenotypes from nine resting-fMRI and task-fMRI datasets (<i>R<\/i><sup>2<\/sup>\u2009=\u20090.89), spanning diverse scanners, acquisitions, racial groups, disorders and ages. For scans of \u226420\u2009min, accuracy increases linearly with the logarithm of the total scan duration, suggesting that sample size and scan time are initially interchangeable. However, sample size is ultimately more important. Nevertheless, when accounting for the overhead costs of each participant (such as recruitment), longer scans can be substantially cheaper than larger sample size for improving prediction performance. To achieve high prediction performance, 10\u2009min scans are cost inefficient. In most scenarios, the optimal scan time is at least 20\u2009min. On average, 30\u2009min scans are the most cost-effective, yielding 22% savings over 10\u2009min scans. Overshooting the optimal scan time is cheaper than undershooting it, so we recommend a scan time of at least 30\u2009min. Compared with resting-state whole-brain BWAS, the most cost-effective scan time is shorter for task-fMRI and longer for subcortical-to-whole-brain BWAS. In contrast to standard power calculations, our results suggest that jointly optimizing sample size and scan time can boost prediction accuracy while cutting costs. Our empirical reference is available online for future study design.<\/p>\n<p>Full Article:\u00a0<a href=\"https:\/\/www.nature.com\/articles\/s41586-025-09250-1\">https:\/\/www.nature.com\/articles\/s41586-025-09250-1<\/a><\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Abstract A pervasive dilemma in brain-wide association studies1 (BWAS) is whether to prioritize functional magnetic resonance imaging (fMRI) scan time or sample size. We derive a theoretical model showing that individual-level phenotypic prediction accuracy increases with sample size and total scan duration (sample size\u2009\u00d7\u2009scan time per participant). The model explains empirical prediction accuracies well across [&hellip;]<\/p>\n","protected":false},"author":9345,"featured_media":3280,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"default","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[5],"tags":[],"class_list":["post-3276","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-publications"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.4 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Longer scans boost prediction and cut costs in brain-wide association studies - Pharmacology<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/medicine.nus.edu.sg\/medphc\/publications\/longer-scans-boost-prediction-and-cut-costs-in-brain-wide-association-studies\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Longer scans boost prediction and cut costs in brain-wide association studies - Pharmacology\" \/>\n<meta property=\"og:description\" content=\"Abstract A pervasive dilemma in brain-wide association studies1 (BWAS) is whether to prioritize functional magnetic resonance imaging (fMRI) scan time or sample size. We derive a theoretical model showing that individual-level phenotypic prediction accuracy increases with sample size and total scan duration (sample size\u2009\u00d7\u2009scan time per participant). The model explains empirical prediction accuracies well across [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/medicine.nus.edu.sg\/medphc\/publications\/longer-scans-boost-prediction-and-cut-costs-in-brain-wide-association-studies\/\" \/>\n<meta property=\"og:site_name\" content=\"Pharmacology\" \/>\n<meta property=\"article:published_time\" content=\"2026-02-12T01:24:20+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-02-12T05:22:56+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/medicine.nus.edu.sg\/medphc\/wp-content\/uploads\/sites\/33\/2026\/02\/20250716-CC-1.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1280\" \/>\n\t<meta property=\"og:image:height\" content=\"720\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Woon Fei\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Woon Fei\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/medicine.nus.edu.sg\/medphc\/publications\/longer-scans-boost-prediction-and-cut-costs-in-brain-wide-association-studies\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/medicine.nus.edu.sg\/medphc\/publications\/longer-scans-boost-prediction-and-cut-costs-in-brain-wide-association-studies\/\"},\"author\":{\"name\":\"Woon Fei\",\"@id\":\"https:\/\/medicine.nus.edu.sg\/medphc\/#\/schema\/person\/ea3ccd10ab2f2bba51fd804396287cb0\"},\"headline\":\"Longer scans boost prediction and cut costs in brain-wide association studies\",\"datePublished\":\"2026-02-12T01:24:20+00:00\",\"dateModified\":\"2026-02-12T05:22:56+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/medicine.nus.edu.sg\/medphc\/publications\/longer-scans-boost-prediction-and-cut-costs-in-brain-wide-association-studies\/\"},\"wordCount\":262,\"publisher\":{\"@id\":\"https:\/\/medicine.nus.edu.sg\/medphc\/#organization\"},\"image\":{\"@id\":\"https:\/\/medicine.nus.edu.sg\/medphc\/publications\/longer-scans-boost-prediction-and-cut-costs-in-brain-wide-association-studies\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/medicine.nus.edu.sg\/medphc\/wp-content\/uploads\/sites\/33\/2026\/02\/20250716-CC-1.jpg\",\"articleSection\":[\"Publications\"],\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/medicine.nus.edu.sg\/medphc\/publications\/longer-scans-boost-prediction-and-cut-costs-in-brain-wide-association-studies\/\",\"url\":\"https:\/\/medicine.nus.edu.sg\/medphc\/publications\/longer-scans-boost-prediction-and-cut-costs-in-brain-wide-association-studies\/\",\"name\":\"Longer scans boost prediction and cut costs in brain-wide association studies - 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