Loss of integrity and atrophy in cingulate structural covariance networks in Parkinson's disease.

Loss of integrity and atrophy in cingulate structural covariance networks in Parkinson's disease.
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DOI:
10.1016/j.nicl.2017.05.012
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发表时间:
2017
期刊:
NeuroImage. Clinical
影响因子:
--
通讯作者:
van Hilten JJ
van Hilten JJ
中科院分区:
其他
文献类型:
--
作者:
de Schipper LJ;van der Grond J;Marinus J;Henselmans JML;van Hilten JJ

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在帕金森氏病(PD)中,MRI显示的皮质脑萎缩与临床进展之间的关系并不简单。确定结构协方差网络的变化-灰质密度的协方差模式-已被证明是一种有价值的技术来检测细微的灰质变化。我们评估了PD的结构网络完整性与临床数据的关系。对159例PD患者进行了3 Tesla MRI。我们使用在370名健康受试者中确定的9个标准化结构协方差网络作为PD数据分析的模板。临床评估包括运动功能(运动障碍协会-统一帕金森病评定量表; MDS-MERS运动量表)和主要非多巴胺能功能(帕金森病中非多巴胺能症状的严重程度; SENS-PD量表:姿势不稳定和步态困难、精神病症状、白天过度嗜睡、自主神经功能障碍、认知障碍和抑郁症状)。在与PD显著相关的网络内进行基于体素的分析。前扣带回和后扣带回网络的完整性降低,与SENS-PD评分相关,分别为p = 0.001(β = − 0.265,ηp2 = 0.070)和p = 0.001(β = − 0.264,ηp2 = 0.074)。在SENS-PD评分的组成部分中,认知障碍和白天过度嗜睡与两个网络中的萎缩相关。我们发现PD患者的前后扣带回网络的完整性丧失和萎缩。这两种网络的缺失主要与非多巴胺能功能相关,特别是认知和白天过度嗜睡。我们的研究结果表明,扣带网络(组件)显示出特定的脆弱性PD的病理生物学,并可能作为参与认知和警觉性的网络之间的接口。一种新的方法,结构协方差网络,用于帕金森病。患者的两个扣带回网络的完整性丧失和萎缩。结构变化与认知和警觉性有关。
In Parkinson's disease (PD), the relation between cortical brain atrophy on MRI and clinical progression is not straightforward. Determination of changes in structural covariance networks - patterns of covariance in grey matter density - has shown to be a valuable technique to detect subtle grey matter variations. We evaluated how structural network integrity in PD is related to clinical data. 3 Tesla MRI was performed in 159 PD patients. We used nine standardized structural covariance networks identified in 370 healthy subjects as a template in the analysis of the PD data. Clinical assessment comprised motor features (Movement Disorder Society-Unified Parkinson's Disease Rating Scale; MDS-UPDRS motor scale) and predominantly non-dopaminergic features (SEverity of Non-dopaminergic Symptoms in Parkinson's Disease; SENS-PD scale: postural instability and gait difficulty, psychotic symptoms, excessive daytime sleepiness, autonomic dysfunction, cognitive impairment and depressive symptoms). Voxel-based analyses were performed within networks significantly associated with PD. The anterior and posterior cingulate network showed decreased integrity, associated with the SENS-PD score, p = 0.001 (β = − 0.265, ηp2 = 0.070) and p = 0.001 (β = − 0.264, ηp2 = 0.074), respectively. Of the components of the SENS-PD score, cognitive impairment and excessive daytime sleepiness were associated with atrophy within both networks. We identified loss of integrity and atrophy in the anterior and posterior cingulate networks in PD patients. Abnormalities of both networks were associated with predominantly non-dopaminergic features, specifically cognition and excessive daytime sleepiness. Our findings suggest that (components of) the cingulate networks display a specific vulnerability to the pathobiology of PD and may operate as interfaces between networks involved in cognition and alertness. A novel approach, structural covariance networks, was used in Parkinson's disease. Loss of integrity and atrophy in two cingulate networks was found in patients. Structural changes were associated with cognition and alertness.