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Brain-predicted age associates with psychopathology dimensions in youth

Authors :
Kavisha Fernando
Ye Tian
Luca Cocchi
Vanessa Cropley
Christos Pantelis
Andrew Zalesky
L. Sina Mansour
Publication Year :
2020
Publisher :
Cold Spring Harbor Laboratory, 2020.

Abstract

BackgroundThis study aims to investigate whether dimensional constructs of psychopathology relate to advanced, attenuated or normal patterns of brain development, and to determine whether these constructs share common neurodevelopmental profiles.MethodsPsychiatric symptom ratings from 9312 youths (8-21 years) 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 MRI (n=1313), a normative model of brain morphology was established and the model was then applied to predict the age of youth with clinical symptoms. We investigated whether the deviation of brain-predicted age from true chronological age, called the brain age gap, explained individual variation in each psychopathology dimension.ResultsIndividual variation in the brain age gap significantly associated with clinical dimensions representing psychosis (t=3.16, p=0.0016), obsessive-compulsive symptoms (t=2.5, p=0.01), and general psychopathology (t=4.08, pConclusionsOur findings suggest that advanced brain development, particularly in frontal cortex and subcortical nuclei, underpins clinical psychosis and obsessive-compulsive symptoms in youth. Psychopathology dimensions share common neural substrates, despite representing clinically independent symptom profiles.

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........89b9a5708b71cfda320f06b781413a5e
Full Text :
https://doi.org/10.1101/2020.06.13.149658