Identification of cholinergic centro-cingulate topography as main contributor to cognitive functioning in Parkinson's disease: Results from a data-driven approach.

Identification of cholinergic centro-cingulate topography as main contributor to cognitive functioning in Parkinson's disease: Results from a data-driven approach.
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DOI:
10.3389/fnagi.2022.1006567
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发表时间:
2022
影响因子:
4.8
通讯作者:
--
中科院分区:
医学2区
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--
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胆碱能系统的退化在帕金森病(PD)的认知功能障碍中起着重要作用。使用突触前囊泡乙酰胆碱转运体(VAChT)示踪剂[18F]氟乙氧基苯并氨基酚([18F]FEOBV)的正电子发射断层扫描(PET)成像可以对胆碱能神经支配进行区域性评估。这项研究的目的是进行数据驱动的分析,以确定共同变化的胆碱能区域,并评估这些区域与帕金森病患者认知功能的关系。87例非痴呆性帕金森病患者(77%男性,平均年龄67.9±7.6岁,病程5.8±4.6年)和27例健康对照组(HC)接受了[18F]FEOBV脑PET显像和神经心理学评估。对两组患者进行基于感兴趣体积的因子分析,以确定胆碱能主成分(PC)。帕金森病组有7个主要的PC:(1)双侧后皮质,(2)双侧皮质下,(3)双侧中央扣带回,(4)双侧额叶,(5)右侧额叶,(6)小脑,(7)以左侧为主的颞区。对照组的互补性主成分分析(PCA)显示出显著不同的胆碱能协变模式。多元线性回归分析表明,PC3、PC5和PC7以及运动障碍评分是预测帕金森病患者认知功能的重要因素。PC3与认知功能的相关性最强(p<0.001)。一种数据驱动的方法确定了双侧中央周围和扣带回皮质的共同变化区域是帕金森病患者认知损害的关键决定因素。中枢扣带回的胆碱能易损性似乎是帕金森病特有的疾病,而不是与年龄相关的。胆碱能系统可能是参与认知功能的区域性和大规模神经网络的重要贡献者。
Degeneration of the cholinergic system plays an important role in cognitive impairment in Parkinson’s disease (PD). Positron emission tomography (PET) imaging using the presynaptic vesicular acetylcholine transporter (VAChT) tracer [18F]Fluoroethoxybenzovesamicol ([18F]FEOBV) allows for regional assessment of cholinergic innervation. The purpose of this study was to perform a data-driven analysis to identify co-varying cholinergic regions and to evaluate the relationship of these with cognitive functioning in PD. A total of 87 non-demented PD patients (77% male, mean age 67.9 ± 7.6 years, disease duration 5.8 ± 4.6 years) and 27 healthy control (HC) subjects underwent [18F]FEOBV brain PET imaging and neuropsychological assessment. A volume-of-interest based factor analysis was performed for both groups to identify cholinergic principal components (PCs). Seven main PCs were identified for the PD group: (1) bilateral posterior cortex, (2) bilateral subcortical, (3) bilateral centro-cingulate, (4) bilateral frontal, (5) right-sided fronto-temporal, (6) cerebellum, and (7) predominantly left sided temporal regions. A complementary principal component analysis (PCA) analysis in the control group showed substantially different cholinergic covarying patterns. A multivariate linear regression analyses demonstrated PC3, PC5, and PC7, together with motor impairment score, as significant predictors for cognitive functioning in PD. PC3 showed most robust correlations with cognitive functioning (p < 0.001). A data-driven approach identified covarying regions in the bilateral peri-central and cingulum cortex as a key determinant of cognitive impairment in PD. Cholinergic vulnerability of the centro-cingulate network appears to be disease-specific for PD rather than being age-related. The cholinergic system may be an important contributor to regional and large scale neural networks involved in cognitive functioning.
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