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A 4-year longitudinal neuroimaging study of cognitive control using latent growth modeling: developmental changes and brain-behavior associations

dc.contributor.authorKim-Spoon, Jungmeenen
dc.contributor.authorHerd, Toriaen
dc.contributor.authorBrieant, Alexisen
dc.contributor.authorElder, Jacoben
dc.contributor.authorLee, Jacoben
dc.contributor.authorDeater-Deckard, Kirbyen
dc.contributor.authorCasas, Brooksen
dc.date.accessioned2022-04-05T14:02:09Zen
dc.date.available2022-04-05T14:02:09Zen
dc.date.issued2021-08-15en
dc.description.abstractDespite theoretical models suggesting developmental changes in neural substrates of cognitive control in adolescence, empirical research has rarely examined intraindividual changes in cognitive control-related brain activation using multi-wave multivariate longitudinal data. We used longitudinal repeated measures of brain activation and behavioral performance during the multi-source interference task (MSIT) from 167 adolescents (53% male) who were assessed annually over four years from ages 13 to 17 years. We applied latent growth modeling to delineate the pattern of brain activation changes over time and to examine longitudinal associations between brain activation and behavioral performance. We identified brain regions that showed differential change patterns: (1) the fronto-parietal regions that involved bilateral insula, bilateral middle frontal gyrus, left pre-supplementary motor area, left inferior parietal lobule, and right precuneus; and (2) the rostral anterior cingulate cortex (rACC) region. Longitudinal confirmatory factor analyses of the fronto-parietal regions revealed strong measurement invariance across time implying that multivariate functional magnetic resonance imaging data during cognitive control can be measured reliably over time. Latent basis growth models indicated that fronto-parietal activation decreased over time, whereas rACC activation increased over time. In addition, behavioral performance data, age-related improvement was indicated by a decreasing trajectory of intraindividual variability in response time across four years. Testing longitudinal brain-behavior associations using multivariate growth models revealed that better behavioral cognitive control was associated with lower fronto-parietal activation, but the change in behavioral performance was not related to the change in brain activation. The current findings suggest that reduced effects of cognitive interference indicated by fronto-parietal recruitment may be a marker of a maturing brain that underlies better cognitive control performance during adolescence.en
dc.description.notesThis work was supported by grants from the National Institute on Drug Abuse (R01 DA036017 to Jungmeen KimSpoon and Brooks KingCasas. We thank the former and current JK Lifespan Development Lab members for their help with data collection. We are grateful to the adolescents and parents who participated in our study.en
dc.description.sponsorshipNational Institute on Drug AbuseUnited States Department of Health & Human ServicesNational Institutes of Health (NIH) - USANIH National Institute on Drug Abuse (NIDA)European Commission [R01 DA036017]en
dc.description.versionPublished versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1016/j.neuroimage.2021.118134en
dc.identifier.eissn1095-9572en
dc.identifier.issn1053-8119en
dc.identifier.other118134en
dc.identifier.pmid33951508en
dc.identifier.urihttp://hdl.handle.net/10919/109541en
dc.identifier.volume237en
dc.language.isoenen
dc.rightsCreative Commons Attribution-NonCommercial 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en
dc.subjectCognitive controlen
dc.subjectFunctional magnetic resonance imagingen
dc.subjectLatent variable modelingen
dc.subjectDevelopmental changesen
dc.subjectBrain-behavior associationsen
dc.subjectTest-retest reliabilityen
dc.titleA 4-year longitudinal neuroimaging study of cognitive control using latent growth modeling: developmental changes and brain-behavior associationsen
dc.title.serialNeuroimageen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten

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