Joint resting state and structural networks characterize pediatric bipolar patients compared to healthy controls: a multimodal fusion approach.
Authors
Affiliations (8)
Affiliations (8)
- Department of Radiology, Xiangya Hospital, Central South University, Changsha 410008, Hunan, PR China; Clinical Research Center (CRC), Medical Pathology Center (MPC), Cancer Early Detection and Treatment Center (CEDTC) and Translational Medicine Research Center (TMRC), Chongqing University Three Gorges Hospital, Chongqing University, Chongqing 404000, PR China; School of Medicine, Chongqing University, Chongqing 400030, PR China; National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology, Xiangya Hospital, Changsha 410008, Hunan, PR China.
- Department of Radiology, The Second Xiangya Hospital of Central South University, Central South University, Changsha 410008, Hunan, PR China.
- Department of Radiology, Xiangya Hospital, Central South University, Changsha 410008, Hunan, PR China.
- Department of Emergency, Hainan Provincial People's Hospital, Haikou 410008, Hainan, PR China.
- Mental Health Center of Xiangya Hospital, Central South University, Changsha 410008, Hunan, PR China. Electronic address: [email protected].
- Department of Radiology, The Second Xiangya Hospital of Central South University, Central South University, Changsha 410008, Hunan, PR China; Department of Emergency, Hainan Provincial People's Hospital, Haikou 410008, Hainan, PR China. Electronic address: [email protected].
- Department of Radiology, The People's Hospital of Hunan Province (The First Affiliated Hospital of Hunan Normal University), Changsha, Hunan, PR China; Center for Mind & Brain Sciences, Hunan Normal University, Changsha, Hunan, PR China. Electronic address: [email protected].
- Department of Psychology and Cognitive Science, University of Trento, Italy; Center for Medical Sciences, University of Trento, Italy. Electronic address: [email protected].
Abstract
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 with type II subtypes. Resting-state brain activity and structural grey matter, assessed through MRI, may provide insight into the neurobiological biomarkers of this disorder. In this study, Resting state Regional Homogeneity (ReHo) and grey matter concentration (GMC) data of 58 PBD patients, and 21 healthy controls matched for age, gender, education and IQ, were analyzed in a data fusion unsupervised machine learning approach known as transposed Independent Vector Analysis. Two networks significantly differed between BPD and HC. The first network included fronto- medial regions, such as the medial and superior frontal gyrus, the cingulate, and displayed higher ReHo and GMC values in PBD compared to HC. The second network included temporo-posterior regions, as well as the insula, the caudate and the precuneus and displayed lower ReHo and GMC values in PBD compared to HC. Additionally, two networks differ between type-I vs type-II in PBD: an occipito-cerebellar network with increased ReHo and GMC in type-I compared to type-II, and a fronto-parietal network with decreased ReHo and GMC in type-I compared to type-II. Of note, the first network positively correlated with depression scores. These findings shed new light on the functional and structural abnormalities displayed by pediatric bipolar patients.