Maturity of gray matter structures and white matter connectomes, and their relationship with psychiatric symptoms in youth

Brain predicted age difference, or BrainPAD, compares chronological age to an age estimate derived by applying machine learning (ML) to MRI brain data. BrainPAD studies in youth have been relatively limited, often using only a single MRI modality or a single ML algorithm. Here, we use multimodal MRI...

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Bibliographic Details
Main Authors:	Aw, N. (Author), Bernanke, J. (Author), Cha, J. (Author), Dworkin, J.D (Author), Kim, K. (Author), Luna, A. (Author), Posner, J. (Author)
Format:	Article
Language:	English
Published:	John Wiley and Sons Inc 2021
Subjects:	adolescent Adolescent adult Adult age Age Factors anatomy and histology Article behavior Behavioral Symptoms biomarkers brain age brain maturation brain predicted age difference child Child Child Behavior Checklist Child, Preschool children global assessment scale clinical assessment tool cognition connectome diagnostic imaging diffusion tensor imaging Diffusion Tensor Imaging diffusion weighted imaging female Female fractional anisotropy gray matter Gray Matter growth, development and aging human human development Human Development Humans machine learning Machine Learning major clinical study male Male mental disease Models, Theoretical morphometry multimodal imaging nerve cell network Nerve Net nuclear magnetic resonance imaging pathophysiology physiology preschool child procedures Psychometrics psychometry statistical model theoretical model white matter White Matter young adult Young Adult
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Maturity of gray matter structures and white matter connectomes, and their relationship with psychiatric symptoms in youth

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