School of Rehabilitation, Capital Medical University, Department of Urology of Capital Medical University, Beijing, China.
Department of Urology of Beijing Boai Hospital, China Rehabilitation Research Center (CRRC), No. 10, Jiaomen Beilu, Beijing, 100068, China.
Int Urol Nephrol. 2021 May;53(5):883-891. doi: 10.1007/s11255-020-02742-1. Epub 2021 Feb 1.
A functional magnetic resonance imaging (fMRI) study was performed during urodynamic examination in healthy adults to determine the responses of functional brain networks to bladder control during urine storage.
The brain imaging was performed in empty and full bladder states during urodynamic examination. First, we used independent component analysis (ICA) to obtain several resting state network masks, then the brain regions with significantly different regional homogeneity (ReHo) values between the two states were determined using a paired t test (p < 0.05; Gaussian random field correction [GRF]: voxel p < 0.01 and cluster p < 0.05) and presented in their corresponding resting state network (RSN) masks.
Data sets obtained from the remaining 20 subjects were analyzed after motion correction. Nine RSNs were identified by group-ICA, including the salience network (SN), default mode network (DMN), central executive network (CEN), dorsal attention network (dAN), auditory network (AN), sensorimotor network (SMN), language network (LN), visual network (VN), and cerebellum network (CN). The ReHo values were significantly increased (p < 0.05, GRF corrected) within the SN, DMN, and CEN in the full bladder state compared with the empty bladder state.
Significant changes within the three functional brain networks were demonstrated when the bladder was full, suggesting that SN provides bladder sensation and DMN may provide self-reference, self-reflection, and decision-making about whether to void after assessment of the external environment, while CEN may provide support related to episodic memory, which provides new insight into the processing of bladder control and could serve as a premise to further explore the pathologic process underlying bladder dysfunction.
本研究通过功能磁共振成像(fMRI)在健康成年人的尿动力学检查期间进行研究,以确定在储尿过程中功能性脑网络对膀胱控制的反应。
在尿动力学检查中,在空膀胱和满膀胱状态下进行脑成像。首先,我们使用独立成分分析(ICA)获得几个静息状态网络掩模,然后使用配对 t 检验(p < 0.05;高斯随机场校正[GRF]:体素 p < 0.01,簇 p < 0.05)确定两种状态之间区域同质性(ReHo)值有显著差异的脑区,并将其呈现于相应的静息态网络(RSN)掩模中。
对经过运动校正的剩余 20 例受试者的数据进行了分析。通过组-ICA 鉴定了 9 个 RSN,包括突显网络(SN)、默认模式网络(DMN)、中央执行网络(CEN)、背侧注意网络(dAN)、听觉网络(AN)、感觉运动网络(SMN)、语言网络(LN)、视觉网络(VN)和小脑网络(CN)。与空膀胱状态相比,满膀胱状态时 SN、DMN 和 CEN 内的 ReHo 值显著增加(p < 0.05,GRF 校正)。
当膀胱充满时,三个功能性脑网络内出现显著变化,提示 SN 提供膀胱感觉,DMN 可能提供自我参照、自我反思以及是否根据外部环境评估排空的决策,而 CEN 可能提供与情景记忆相关的支持,这为膀胱控制的处理提供了新的见解,并为进一步探索膀胱功能障碍的病理过程提供了前提。