Gray Matter Differences in Adolescent Psychiatric Inpatients: A Machine Learning Study of Bipolar Disorder and Other Psychopathologies

Gray Matter Differences in Adolescent Psychiatric Inpatients: A Machine Learning Study of Bipolar Disorder and Other Psychopathologies

Abstract Background Bipolar disorder (BD) is among the psychiatric disorders most prone to misdiagnosis, with both false positives and false negatives resulting in treatment delay. We employed a whole‐brain machine learning approach focusing on gray matter volumes (GMVs) to contribute to defining ob...

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Main Authors: Renata Rozovsky, Maria Wolfe, Halimah Abdul‐waalee, Mariah Chobany, Greeshma Malgireddy, Jonathan A. Hart, Brianna Lepore, Farzan Vahedifard, Mary L. Phillips, Boris Birmaher, Alex Skeba, Rasim S. Diler, Michele A. Bertocci
Format: Article
Language:English
Published: Wiley 2025-06-01
Series:Brain and Behavior
Online Access:https://doi.org/10.1002/brb3.70589
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https://doi.org/10.1002/brb3.70589

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