Structural and functional connectome relationships in early childhood

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...

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Bibliographic Details
Published in:Developmental cognitive neuroscience Vol. 64; p. 101314
Main Authors: 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.
Format: Journal Article
Language:English
Published: Netherlands Elsevier 01.12.2023
Subjects:
Adult
Brain
Child
Child, Preschool
Connectome
Functional connectome
Graph convolutional neural network
Humans
Magnetic Resonance Imaging
Nerve Net
Structural connectome
Structure-function coupling
White Matter
Structure-function coupling
Functional connectome
Graph convolutional neural network
Structural connectome
ISSN:1878-9293, 1878-9307, 1878-9307
Online Access:Get full text
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Summary: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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content type line 23
ISSN:1878-9293
1878-9307
1878-9307
DOI:10.1016/j.dcn.2023.101314