{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,11]],"date-time":"2026-04-11T18:10:45Z","timestamp":1775931045952,"version":"3.50.1"},"reference-count":67,"publisher":"Wiley","issue":"7","license":[{"start":{"date-parts":[[2017,4,30]],"date-time":"2017-04-30T00:00:00Z","timestamp":1493510400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Human Brain Mapping"],"published-print":{"date-parts":[[2017,7]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Magnetic resonance imaging (MRI) studies in humans have reported that the T<jats:sub>1<\/jats:sub>\u2010weighted signal in the cerebral cortex follows an inverted \u201cU\u201d trajectory over the lifespan. Here, we investigated the T<jats:sub>1<\/jats:sub>\u2010weighted signal trajectory from late adolescence to middle adulthood in humans to characterize the age range when mental illnesses tend to present, and efficacy of treatments are evaluated. We compared linear to quadratic predictors of age on signal in 67 healthy individuals, 17\u201345 years old. We investigated \u00bc, \u00bd, and \u00be depths in the cortex representing intracortical myelin (ICM), in the superficial white matter (SWM), and in a reference deep white matter tract. We found that the quadratic fit was superior in all regions of the cortex, while signal in the SWM and deep white matter showed no global dependence on age over this range. The signal trajectory in any region followed a similar shape regardless of cortical depth. The quadratic fit was analyzed in 70 cortical regions to obtain the age of maximum signal intensity. We found that visual, cingulate, and left ventromedial prefrontal cortices peak first around 34 years old, whereas motor and premotor areas peak latest at \u223c38 years. Our analysis suggests that ICM trajectories over this range can be modeled well in small cohorts of subjects using quadratic functions, which are amenable to statistical analysis, thus suitable for investigating regional changes in ICM with disease. This study highlights a novel approach to map ICM trajectories using an age range that coincides with the onset of many mental illnesses. <jats:italic>Hum Brain Mapp 38:3691\u20133703, 2017<\/jats:italic>. \u00a9 <jats:bold>2017 Wiley Periodicals, Inc.<\/jats:bold><\/jats:p>","DOI":"10.1002\/hbm.23624","type":"journal-article","created":{"date-parts":[[2017,5,2]],"date-time":"2017-05-02T07:15:31Z","timestamp":1493709331000},"page":"3691-3703","source":"Crossref","is-referenced-by-count":46,"title":["Age\u2010related mapping of intracortical myelin from late adolescence to middle adulthood using T<sub>1<\/sub>\u2010weighted MRI"],"prefix":"10.1002","volume":"38","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9107-6972","authenticated-orcid":false,"given":"Christopher D.","family":"Rowley","sequence":"first","affiliation":[{"name":"McMaster Integrative Neuroscience Discovery and Study Program McMaster University Hamilton Ontario L8S 4K1 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McMaster University Hamilton Ontario L8S 4K1 Canada"},{"name":"Department of Psychiatry and Behavioural Neurosciences McMaster University Hamilton Ontario L8S 4K1 Canada"},{"name":"Mood Disorders Program and Women's Health Concerns Clinic St. Joseph's Healthcare Hamilton Ontario L8K 3K7 Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Benicio N.","family":"Frey","sequence":"additional","affiliation":[{"name":"McMaster Integrative Neuroscience Discovery and Study Program McMaster University Hamilton Ontario L8S 4K1 Canada"},{"name":"Department of Psychiatry and Behavioural Neurosciences McMaster University Hamilton Ontario L8S 4K1 Canada"},{"name":"Mood Disorders Program and Women's Health Concerns Clinic St. Joseph's Healthcare Hamilton Ontario L8K 3K7 Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nicholas A.","family":"Bock","sequence":"additional","affiliation":[{"name":"McMaster Integrative Neuroscience Discovery and Study Program 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