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Intra- and inter-resting-state networks abnormalities in overactive bladder syndrome patients: an independent component analysis of resting-state fMRI.

Authors :
Zuo, Long
Chen, Jingnan
Wang, Shuangkun
Zhou, Yang
Wang, Biao
Gu, Hua
Source :
World Journal of Urology. Apr2020, Vol. 38 Issue 4, p1027-1034. 8p.
Publication Year :
2020

Abstract

Purpose: This study aims to determine whether intra-network and inter-network brain connectivities are altered using an independent component analysis (ICA). Methods: Resting-state functional MRI (rs-fMRI) data were acquired from 26 patients with OAB and 28 healthy controls (HC). Eleven resting-state networks (RSNs) were identified via ICA. General linear model (GLM) was used to compare intra-network FC and inter-network FC of RSNs between the two groups. Pearson correlation analyses were performed to investigate the relationship between the identified RSNs and clinical variables. Results: Compared with HC, the OAB group showed abnormal FC within the sensorimotor-related network (SMN), the dorsal attention network (DAN), the dorsal visual network (dVN), and the left frontoparietal network (LFPN). With respect to inter-network interactions, decreased FC was detected between the SMN and the anterior default mode network (aDMN). Conclusion: This study demonstrated that abnormal FC between RSNs may reflect the altered resting state of the brain–bladder network. The findings of this study provide complementary evidence that can help further understand the neural substrates of the overactive bladder. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
07244983
Volume :
38
Issue :
4
Database :
Academic Search Index
Journal :
World Journal of Urology
Publication Type :
Academic Journal
Accession number :
142704403
Full Text :
https://doi.org/10.1007/s00345-019-02838-z