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首页> 外文会议>Conference on biomedical applications in molecular, structural, and functional imaging >Functional connectivity comparison of the default mode network in non-depressed Parkinson disease and depressed Parkinson disease
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Functional connectivity comparison of the default mode network in non-depressed Parkinson disease and depressed Parkinson disease

机译：非抑郁帕金森病和抑郁帕金森病默认模式网络的功能连通性比较

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Examining the spontaneous activity to understand the neural mechanism of brain disorders and establish neuroimaging-based disease-related biomarkers is a focus in recent resting-state functional MRI (fMRI) studies. The present study hypothesized that resting activity in the default mode network (DMN), which was used for characterizing the resting-state human brain might be different in patients with depressed Parkinson disease (dPD) compared with non-depressed Parkinson disease (ndPD) patients. To test the hypothesis, we firstly employed the Group independent component analysis (ICA) approach to isolate the DMN for the two groups by analyzing the resting-state fMRI data from a group of 12 patients with dPD and a group of 12 age-matched ndPD subjects. Between-group comparison of the functional connectivity in the DMN was then performed to examine the impact of depression on the intrinsic activity in PD. We found 1) the core region from the network the medial prefrontal cortex (MPFC) show significant decreased activity in dPD group compared with ndPD group; 2) the activity in MPFC has significant negative correlation with behavioral measure; 3) the resting activity intensity of MPFC is suggested to be a promising biomarker for distinguishing dPD from ndPD.
机译：检查自发活动以了解脑部疾病的神经机制并建立基于神经影像的疾病相关生物标记物是近期静息状态功能性MRI（fMRI）研究的重点。本研究假设，抑郁症帕金森病（dPD）患者与非抑郁症帕金森病（ndPD）患者相比，默认模式网络（DMN）的静息活动可用于表征人的静息状态，该活动可能有所不同。为了检验假设，我们首先通过分析一组12位dPD患者和12位年龄相匹配的ndPD患者的静止状态fMRI数据，首先采用了独立于组的成分分析（ICA）方法来分离两组的DMN。科目。然后进行DMN中功能连接的组间比较，以检查抑郁症对PD内在活动的影响。我们发现：1）与ndPD组相比，dPD组的前额叶内侧皮质（MPFC）网络核心区域活动明显减少; 2）MPFC中的活性与行为测度有显着的负相关; 3）MPFC的静息活动强度被认为是区分dPD和ndPD的有前途的生物标志物。

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