{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,5]],"date-time":"2026-10-05T18:52:05Z","timestamp":1791226325739,"version":"4.1.0"},"update-to":[{"DOI":"10.1371\/journal.pbio.3004037","type":"new_version","label":"New version","source":"publisher","updated":{"date-parts":[[2026,10,5]],"date-time":"2026-10-05T00:00:00Z","timestamp":1791158400000}}],"reference-count":76,"publisher":"Public Library of Science (PLoS)","issue":"9","license":[{"start":{"date-parts":[[2026,9,29]],"date-time":"2026-09-29T00:00:00Z","timestamp":1790640000000},"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":["2R01MH113550, 2R01MH112847, R37MH125829, R01EB022573, U24NS130411"],"award-info":[{"award-number":["2R01MH113550, 2R01MH112847, R37MH125829, R01EB022573, U24NS130411"]}],"id":[{"id":"10.13039\/100000025","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000024","name":"Canadian Institutes of Health Research","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100000024","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["www.plosbiology.org"],"crossmark-restriction":false},"short-container-title":["PLoS Biol"],"abstract":"<jats:p>\n                    Intrinsic timescale is a commonly used measure of spontaneous neural dynamics that quantifies the temporal window of processing of neuronal populations. Intrinsic timescale displays a hierarchical cortical organization across multiple species and imaging modalities, with shorter timescales in sensorimotor cortex compared to association cortex. However, less is known about how intrinsic timescale evolves during human brain development and whether its cortical maturation patterns generalize to independent developmental samples. Here we estimate the intrinsic timescale in two independent cross-sectional datasets of youth (HCPD:\n                    <jats:italic>n<\/jats:italic>\n                    \u2009=\u2009565; HBN:\n                    <jats:italic>n<\/jats:italic>\n                    \u2009=\u2009729; age range 8\u201322 years) and investigate its neurodevelopmental patterns. We find that developmental patterns in the intrinsic timescale follow a hierarchical pattern that recapitulates an axis spanning sensorimotor to association cortices (S\u2013A axis). Our analysis of an independent healthy young adult dataset (HCPYA:\n                    <jats:italic>n<\/jats:italic>\n                    \u2009=\u2009973, age range 22\u201337 years) underscores the specificity of these developmental findings, suggesting that the intrinsic timescale develops along the S\u2013A axis in youth and stabilizes in adulthood. Together, these results reveal convergence between major axes of cortical organization and development, highlighting intrinsic timescale as a principled marker of hierarchical brain maturation in youth.\n                  <\/jats:p>","DOI":"10.1371\/journal.pbio.3004037","type":"journal-article","created":{"date-parts":[[2026,9,29]],"date-time":"2026-09-29T17:31:25Z","timestamp":1790703085000},"page":"e3004037","update-policy":"https:\/\/doi.org\/10.1371\/journal.pbio.corrections_policy","source":"Crossref","is-referenced-by-count":0,"title":["Intrinsic timescale develops hierarchically from sensorimotor to association cortex in youth and stabilizes in adulthood"],"prefix":"10.1371","volume":"24","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2036-5571","authenticated-orcid":true,"given":"Golia","family":"Shafiei","sequence":"first","affiliation":[{"name":"University of Pennsylvania","place":["Philadelphia, Pennsylvania, United States of America"],"department":["Penn Lifespan 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