Intra- and inter-resting-state networks abnormalities in overactive bladder syndrome patients: an independent component analysis of resting-state fMRI.
World J Urol
; 38(4): 1027-1034, 2020 Apr.
Article
in En
| MEDLINE
| ID: mdl-31172280
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.Key words
Full text:
1
Database:
MEDLINE
Main subject:
Brain
/
Magnetic Resonance Imaging
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Urinary Bladder, Overactive
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Nerve Net
Type of study:
Observational_studies
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Prevalence_studies
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Prognostic_studies
/
Risk_factors_studies
Limits:
Adult
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Female
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Humans
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Male
/
Middle aged
Language:
En
Year:
2020
Type:
Article