Machine learning for classification of pediatric bipolar disorder with and without psychotic symptoms based on thalamic subregional structural volume

Machine learning for classification of pediatric bipolar disorder with and without psychotic symptoms based on thalamic subregional structural volume

Abstract Background The thalamus plays a crucial role in sensory processing, emotional regulation, and cognitive functions, and its dysregulation may be implicated in psychosis. The aim of the present study was to examine the differences in thalamic subregional volumes between pediatric bipolar diso...

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Bibliographic Details
Main Authors: Weijia Gao, Kejing Zhang, Qing Jiao, Linyan Su, Dong Cui, Shaojia Lu, Rongwang Yang
Format: Article
Language:English
Published: BMC 2025-06-01
Series:BMC Psychiatry
Subjects:
Pediatric bipolar disorder
Psychotic symptom
Thalamus
Subregional volume
Machine learning
Online Access:https://doi.org/10.1186/s12888-025-07018-5
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https://doi.org/10.1186/s12888-025-07018-5

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