Niamh MacSweeney , Dani Beck , Lucy Whitmore , Kathryn L. Mills , Lars T. Westlye , Tilmann von Soest , Lia Ferschmann , Christian K. Tamnes
{"title":"Multimodal Brain Age Indicators of Internalizing Problems in Early Adolescence: A Longitudinal Investigation","authors":"Niamh MacSweeney , Dani Beck , Lucy Whitmore , Kathryn L. Mills , Lars T. Westlye , Tilmann von Soest , Lia Ferschmann , Christian K. Tamnes","doi":"10.1016/j.bpsc.2024.11.003","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>Adolescence is a time of increased risk for the onset of internalizing problems, particularly in females. However, how individual differences in brain maturation are related to the increased vulnerability for internalizing problems in adolescence remains poorly understood due to a scarcity of longitudinal studies.</div></div><div><h3>Methods</h3><div>Using ABCD (Adolescent Brain Cognitive Development) Study data, we examined longitudinal associations between multimodal brain age and youth internalizing problems. Brain age models were trained, validated, and tested independently on T1-weighted imaging (<em>n</em> = 9523), diffusion tensor imaging (<em>n</em> = 8834), and resting-state functional magnetic resonance imaging (<em>n</em> = 8233) data at baseline (mean<sub>age</sub> = 9.9 years) and 2-year follow-up (mean<sub>age</sub> = 11.9 years). Self-reported internalizing problems were measured at 3-year follow-up (mean<sub>age</sub> = 12.9 years) using the Brief Problem Monitor.</div></div><div><h3>Results</h3><div>Latent change score models demonstrated that although brain age gap (BAG) at baseline was not related to later internalizing problems, an increase in BAG between time points was positively associated with internalizing problems at 3-year follow-up in females but not males. This association between an increasing BAG and higher internalizing problems was observed in the T1-weighted imaging (β = 0.067, SE = 0.050, false discovery rate [FDR]–corrected <em>p</em> = .020) and resting-state functional magnetic resonance imaging (β = 0.090, SE = 0.025, <em>p</em><sub>FDR</sub> = .007) models but not diffusion tensor imaging (β = −0.002, SE = 0.053, <em>p</em><sub>FDR</sub> = .932) and remained significant when accounting for earlier internalizing problems.</div></div><div><h3>Conclusions</h3><div>A greater increase in BAG in early adolescence may reflect the heightened vulnerability shown by female youth to internalizing problems. Longitudinal research is necessary to understand whether this increasing BAG signifies accelerated brain development and its relationship to the trajectory of internalizing problems throughout adolescence.</div></div>","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"10 5","pages":"Pages 475-484"},"PeriodicalIF":5.7000,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2451902224003409","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"NEUROSCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Background
Adolescence is a time of increased risk for the onset of internalizing problems, particularly in females. However, how individual differences in brain maturation are related to the increased vulnerability for internalizing problems in adolescence remains poorly understood due to a scarcity of longitudinal studies.
Methods
Using ABCD (Adolescent Brain Cognitive Development) Study data, we examined longitudinal associations between multimodal brain age and youth internalizing problems. Brain age models were trained, validated, and tested independently on T1-weighted imaging (n = 9523), diffusion tensor imaging (n = 8834), and resting-state functional magnetic resonance imaging (n = 8233) data at baseline (meanage = 9.9 years) and 2-year follow-up (meanage = 11.9 years). Self-reported internalizing problems were measured at 3-year follow-up (meanage = 12.9 years) using the Brief Problem Monitor.
Results
Latent change score models demonstrated that although brain age gap (BAG) at baseline was not related to later internalizing problems, an increase in BAG between time points was positively associated with internalizing problems at 3-year follow-up in females but not males. This association between an increasing BAG and higher internalizing problems was observed in the T1-weighted imaging (β = 0.067, SE = 0.050, false discovery rate [FDR]–corrected p = .020) and resting-state functional magnetic resonance imaging (β = 0.090, SE = 0.025, pFDR = .007) models but not diffusion tensor imaging (β = −0.002, SE = 0.053, pFDR = .932) and remained significant when accounting for earlier internalizing problems.
Conclusions
A greater increase in BAG in early adolescence may reflect the heightened vulnerability shown by female youth to internalizing problems. Longitudinal research is necessary to understand whether this increasing BAG signifies accelerated brain development and its relationship to the trajectory of internalizing problems throughout adolescence.
期刊介绍:
Biological Psychiatry: Cognitive Neuroscience and Neuroimaging is an official journal of the Society for Biological Psychiatry, whose purpose is to promote excellence in scientific research and education in fields that investigate the nature, causes, mechanisms, and treatments of disorders of thought, emotion, or behavior. In accord with this mission, this peer-reviewed, rapid-publication, international journal focuses on studies using the tools and constructs of cognitive neuroscience, including the full range of non-invasive neuroimaging and human extra- and intracranial physiological recording methodologies. It publishes both basic and clinical studies, including those that incorporate genetic data, pharmacological challenges, and computational modeling approaches. The journal publishes novel results of original research which represent an important new lead or significant impact on the field. Reviews and commentaries that focus on topics of current research and interest are also encouraged.