Journal article

Brain-Predicted Age Associates With Psychopathology Dimensions in Youths

Vanessa L Cropley, Ye Tian, Kavisha Fernando, L Sina Mansour, Christos Pantelis, Luca Cocchi, Andrew Zalesky

BIOLOGICAL PSYCHIATRY-COGNITIVE NEUROSCIENCE AND NEUROIMAGING | ELSEVIER | Published : 2021

Abstract

BACKGROUND: This study aimed to investigate whether dimensional constructs of psychopathology relate to variation in patterns of brain development and to determine whether these constructs share common neurodevelopmental profiles. METHODS: Psychiatric symptom ratings from 9312 youths (8-21 years old) from the Philadelphia Neurodevelopmental Cohort were parsed into 7 independent dimensions of clinical psychopathology representing conduct, anxiety, obsessive-compulsive, attention, depression, bipolar, and psychosis symptoms. Using a subset of this cohort with structural magnetic resonance imaging (n = 1313), a normative model of brain morphology was established and the model was then applied t..

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Grants

Awarded by National Institute of Mental Health


Awarded by National Health and Medical Research Council (NHMRC)


Awarded by Brain and Behavior Research Foundation (National Alliance for Research on Schizophrenia and Depression)


Awarded by Australian National Health Medical Research Council


Awarded by NHMRC


Funding Acknowledgements

Support for the collection of the Philadelphia Neurodevelopment Cohort data sets was provided by National Institute of Mental Health Grant No. RC2MH089983 awarded to Raquel Gur and Grant No. RC2MH089924 awarded to Hakon Hakonarson. VLC was supported by National Health and Medical Research Council (NHMRC) Investigator Grant No. 1177370 and Brain and Behavior Research Foundation (National Alliance for Research on Schizophrenia and Depression) Young Investigator Award No. 21660. YT was supported by the China Scholarship Council -University of Melbourne Research Scholarship. LC was supported by Australian National Health Medical Research Council Grant No. 1138711. CP was supported by NHMRC Senior Principal Research Fellowship No. 1105825 and NHMRC Program Grant No. 1150083. AZ was supported by an NHMRC Senior Research Fellowship No. 1136649.