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Structural and functional connectome relationships in early childhood.
Hong, Yoonmi; Cornea, Emil; Girault, Jessica B; Bagonis, Maria; Foster, Mark; Kim, Sun Hyung; Prieto, Juan Carlos; Chen, Haitao; Gao, Wei; Styner, Martin A; Gilmore, John H.
Affiliation
  • Hong Y; Department of Psychiatry, University of North Carolina at Chapel Hill, United States of America. Electronic address: yoonmi_hong@med.unc.edu.
  • Cornea E; Department of Psychiatry, University of North Carolina at Chapel Hill, United States of America.
  • Girault JB; Department of Psychiatry, University of North Carolina at Chapel Hill, United States of America; Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, United States of America.
  • Bagonis M; Department of Psychiatry, University of North Carolina at Chapel Hill, United States of America.
  • Foster M; Department of Psychiatry, University of North Carolina at Chapel Hill, United States of America.
  • Kim SH; Department of Psychiatry, University of North Carolina at Chapel Hill, United States of America.
  • Prieto JC; Department of Psychiatry, University of North Carolina at Chapel Hill, United States of America.
  • Chen H; Biomedical Imaging Research Institute (BIRI), Department of Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, United States of America.
  • Gao W; Biomedical Imaging Research Institute (BIRI), Department of Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, United States of America.
  • Styner MA; Department of Psychiatry, University of North Carolina at Chapel Hill, United States of America; Department of Computer Science, University of North Carolina at Chapel Hill, United States of America.
  • Gilmore JH; Department of Psychiatry, University of North Carolina at Chapel Hill, United States of America.
Dev Cogn Neurosci ; 64: 101314, 2023 Dec.
Article in En | MEDLINE | ID: mdl-37898019
ABSTRACT
There is strong evidence that the functional connectome is highly related to the white matter connectome in older children and adults, though little is known about structure-function relationships in early childhood. We investigated the development of cortical structure-function coupling in children longitudinally scanned at 1, 2, 4, and 6 years of age (N = 360) and in a comparison sample of adults (N = 89). We also applied a novel graph convolutional neural network-based deep learning model with a new loss function to better capture inter-subject heterogeneity and predict an individual's functional connectivity from the corresponding structural connectivity. We found regional patterns of structure-function coupling in early childhood that were consistent with adult patterns. In addition, our deep learning model improved the prediction of individual functional connectivity from its structural counterpart compared to existing models.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Connectome / White Matter Limits: Adult / Child / Child, preschool / Humans Language: En Journal: Dev Cogn Neurosci Year: 2023 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Connectome / White Matter Limits: Adult / Child / Child, preschool / Humans Language: En Journal: Dev Cogn Neurosci Year: 2023 Document type: Article