Joint resting state and structural networks characterize pediatric bipolar patients compared to healthy controls: a multimodal fusion approach

Joint resting state and structural networks characterize pediatric bipolar patients compared to healthy controls: a multimodal fusion approach

Pediatric bipolar disorder (PBD) is a highly debilitating condition, characterized by alternating episodes of mania and depression, with intervening periods of remission. Limited information is available about the functional and structural abnormalities in PBD, particularly when comparing type I wit...

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Bibliographic Details
Main Authors: Xiaoping Yi, Mingzhao Ma, Xueying Wang, Jinfan Zhang, Feifei Wu, Haimiao Huang, Qian Xiao, An Xie, Peng Liu, Alessandro Grecucci
Format: Article
Language:English
Published: Elsevier 2025-05-01
Series:NeuroImage
Subjects:
Bipolar disorder
Pediatric population
Neuroimaging
tIVA
Unsupervised machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811925002289
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http://www.sciencedirect.com/science/article/pii/S1053811925002289

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