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Maturity of brain structures and white matter connectomes, and their relationship with psychiatric symptoms in youth
[article]
2020
medRxiv
pre-print
Brain neuromaturation can be indexed using brain predicted age difference (BrainPAD), a metric derived by the application of machine learning (ML) algorithms to neuroimaging. Previous studies in youth have been limited to a single type of imaging data, single ML approach, or specific psychiatric condition. Here, we use multimodal neuroimaging and an ensemble ML algorithm to estimate BrainPAD and examine its relationship with broad measures of symptoms and functioning in youth. Methods: We used
doi:10.1101/2020.03.02.20029488
fatcat:kcumwjl3yjdcfmfebihqkw4oaq