Responses of functional brain networks to bladder control in healthy adults: a study using regional homogeneity combined with independent component analysis methods

Responses of functional brain networks to bladder control in healthy adults: a study using regional homogeneity combined with independent component analysis methods
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健康成人功能性大脑网络对膀胱控制的反应:一项使用区域同质性结合独立成分分析方法的研究

DOI:
10.1007/s11255-020-02742-1
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发表时间:
2021-02
影响因子:
2
通讯作者:
Liao Limin
Liao Limin
中科院分区:
医学4区
文献类型:
--
作者:
Pang Dongqing;Gao Yi;Liao Limin

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目的对健康成人进行尿动力学检查时进行功能性磁共振成像(fMRI)研究,以确定尿液储存过程中功能性脑网络对膀胱控制的反应。方法在尿动力学检查时进行空膀胱和满膀胱状态下的脑成像。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,然后使用配对测试(p< 0.05;高斯随机场校正[GRF]:voxelp< 0.01和clusterp< 0.05)确定两个状态之间区域均匀性(ReHo)值显着不同的大脑区域,并呈现在相应的静息状态网络(RSN)掩模中。其余 20 名受试者在运动校正后进行了分析。 group-ICA确定了9个RSN,包括显着网络(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,满膀胱状态下SN、DMN和CEN内的ReHo值显着增加(p< 0.05,GRF校正)。结论膀胱充盈时,三个功能脑网络内均表现出显着变化,表明SN提供膀胱感觉,DMN可以在评估外部环境后提供自我参考、自我反思和是否排尿的决策,而CEN可能提供与情景记忆相关的支持,从而使膀胱充盈状态下的排尿决策成为可能。为膀胱控制的过程提供了新的见解,并可以作为进一步探索膀胱功能障碍的病理过程的前提。
ObjectiveA 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.MethodsThe 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 pairedttest (p< 0.05; Gaussian random field correction [GRF]: voxelp< 0.01 and clusterp< 0.05) and presented in their corresponding resting state network (RSN) masks.ResultsData 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.ConclusionSignificant 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.
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