Mark Curtis , John C. Flournoy , Sridhar Kandala , Ashley F.P. Sanders , Michael P. Harms , Adam Omary , Leah H. Somerville , Deanna M. Barch
{"title":"Disentangling the unique contributions of age, pubertal stage, and pubertal hormones to brain structure in childhood and adolescence","authors":"Mark Curtis , John C. Flournoy , Sridhar Kandala , Ashley F.P. Sanders , Michael P. Harms , Adam Omary , Leah H. Somerville , Deanna M. Barch","doi":"10.1016/j.dcn.2024.101473","DOIUrl":null,"url":null,"abstract":"<div><div>Puberty and associated changes in pubertal hormones influence structural brain development. Hormones such as dehydroepiandrosterone (DHEA) and progesterone remain understudied, and it remains unclear how these aspects of puberty contribute uniquely to structural brain development. We used the Human Connectome Project in Development cross-sectional sample of 1304 youth (aged 5–21 years) to investigate unique contributions of sex, age, pubertal stage, DHEA, testosterone, estradiol, and progesterone to cortical thickness, surface area, and subcortical volume development within functionally-relevant networks. Sex and age explain the most unique variance in all three aspects of structural development. Pubertal stage and pubertal hormones uniquely contribute more to cortical surface area, compared to thickness. Among the pubertal hormones, progesterone contributed unique variance to surface area in the default mode network, as well as to thickness in the orbito-affective network. Pubertal mechanisms also contributed unique variance to subcortical volumes. This demonstrates unique relations of understudied pubertal hormones to brain structure development and may help understand risk for psychopathology.</div></div>","PeriodicalId":49083,"journal":{"name":"Developmental Cognitive Neuroscience","volume":"70 ","pages":"Article 101473"},"PeriodicalIF":4.6000,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Developmental Cognitive Neuroscience","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1878929324001348","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
Puberty and associated changes in pubertal hormones influence structural brain development. Hormones such as dehydroepiandrosterone (DHEA) and progesterone remain understudied, and it remains unclear how these aspects of puberty contribute uniquely to structural brain development. We used the Human Connectome Project in Development cross-sectional sample of 1304 youth (aged 5–21 years) to investigate unique contributions of sex, age, pubertal stage, DHEA, testosterone, estradiol, and progesterone to cortical thickness, surface area, and subcortical volume development within functionally-relevant networks. Sex and age explain the most unique variance in all three aspects of structural development. Pubertal stage and pubertal hormones uniquely contribute more to cortical surface area, compared to thickness. Among the pubertal hormones, progesterone contributed unique variance to surface area in the default mode network, as well as to thickness in the orbito-affective network. Pubertal mechanisms also contributed unique variance to subcortical volumes. This demonstrates unique relations of understudied pubertal hormones to brain structure development and may help understand risk for psychopathology.
期刊介绍:
The journal publishes theoretical and research papers on cognitive brain development, from infancy through childhood and adolescence and into adulthood. It covers neurocognitive development and neurocognitive processing in both typical and atypical development, including social and affective aspects. Appropriate methodologies for the journal include, but are not limited to, functional neuroimaging (fMRI and MEG), electrophysiology (EEG and ERP), NIRS and transcranial magnetic stimulation, as well as other basic neuroscience approaches using cellular and animal models that directly address cognitive brain development, patient studies, case studies, post-mortem studies and pharmacological studies.