{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,16]],"date-time":"2026-04-16T18:46:52Z","timestamp":1776365212029,"version":"3.51.2"},"update-to":[{"DOI":"10.1371\/journal.pcbi.1012692","type":"new_version","label":"New version","source":"publisher","updated":{"date-parts":[[2025,1,7]],"date-time":"2025-01-07T00:00:00Z","timestamp":1736208000000}}],"reference-count":204,"publisher":"Public Library of Science (PLoS)","issue":"12","license":[{"start":{"date-parts":[[2024,12,23]],"date-time":"2024-12-23T00:00:00Z","timestamp":1734912000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000025","name":"National Institute of Mental Health","doi-asserted-by":"publisher","award":["R00MH127296"],"award-info":[{"award-number":["R00MH127296"]}],"id":[{"id":"10.13039\/100000025","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["www.ploscompbiol.org"],"crossmark-restriction":false},"short-container-title":["PLoS Comput Biol"],"abstract":"<jats:p>The brain\u2019s complex distributed dynamics are typically quantified using a limited set of manually selected statistical properties, leaving the possibility that alternative dynamical properties may outperform those reported for a given application. Here, we address this limitation by systematically comparing diverse, interpretable features of both intra-regional activity and inter-regional functional coupling from resting-state functional magnetic resonance imaging (rs-fMRI) data, demonstrating our method using case\u2013control comparisons of four neuropsychiatric disorders. Our findings generally support the use of linear time-series analysis techniques for rs-fMRI case\u2013control analyses, while also identifying new ways to quantify informative dynamical fMRI structures. While simple statistical representations of fMRI dynamics performed surprisingly well (e.g., properties within a single brain region), combining intra-regional properties with inter-regional coupling generally improved performance, underscoring the distributed, multifaceted changes to fMRI dynamics in neuropsychiatric disorders. The comprehensive, data-driven method introduced here enables systematic identification and interpretation of quantitative dynamical signatures of multivariate time-series data, with applicability beyond neuroimaging to diverse scientific problems involving complex time-varying systems.<\/jats:p>","DOI":"10.1371\/journal.pcbi.1012692","type":"journal-article","created":{"date-parts":[[2024,12,23]],"date-time":"2024-12-23T18:41:32Z","timestamp":1734979292000},"page":"e1012692","update-policy":"https:\/\/doi.org\/10.1371\/journal.pcbi.corrections_policy","source":"Crossref","is-referenced-by-count":8,"title":["Extracting interpretable signatures of whole-brain dynamics through systematic comparison"],"prefix":"10.1371","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2217-6520","authenticated-orcid":true,"given":"Annie G.","family":"Bryant","sequence":"first","affiliation":[]},{"given":"Kevin","family":"Aquino","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9329-7207","authenticated-orcid":true,"given":"Linden","family":"Parkes","sequence":"additional","affiliation":[]},{"given":"Alex","family":"Fornito","sequence":"additional","affiliation":[]},{"given":"Ben D.","family":"Fulcher","sequence":"additional","affiliation":[]}],"member":"340","published-online":{"date-parts":[[2024,12,23]]},"reference":[{"key":"pcbi.1012692.ref001","doi-asserted-by":"crossref","first-page":"400","DOI":"10.1016\/j.plrev.2014.03.005","article-title":"Understanding brain networks and brain organization","volume":"11","author":"L Pessoa","year":"2014","journal-title":"Physics of life reviews"},{"key":"pcbi.1012692.ref002","doi-asserted-by":"crossref","first-page":"117","DOI":"10.1177\/1073858419860115","article-title":"Regions and connections: Complementary approaches to characterize brain organization and function","volume":"26","author":"C. 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