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皮质连接性可预测帕金森病患者随时间推移的认知情况。

Cortical connectivity predicts cognition across time in Parkinson's disease.

作者信息

Twedt Hunter P, Yeager Brooke E, Simmering Jacob E, Schultz Jordan L, Narayanan Nandakumar S

机构信息

Department of Neurology, Critical Care, and Occupational Medicine.

Department of Internal Medicine-Pulmonary, Critical Care, and Occupational Medicine.

出版信息

medRxiv. 2025 May 13:2025.05.13.25327462. doi: 10.1101/2025.05.13.25327462.

Abstract

Cognitive symptoms are common in Parkinson's disease (PD), yet the underlying brain mechanisms remain poorly understood. To address this gap, we investigated the relationship between functional connectivity and cognition at multiple time points using longitudinal functional MRI (fMRI) and cognitive assessments from the Parkinson's Progression Marker Initiative (PPMI). We calculated resting-state functional connectivity within and between three key cortical brain networks that have been linked with cognitive function in PD: the frontoparietal network (FPN); the salience network (SAL); and the default mode network (DMN). Cognitive function was assessed with the Montreal Cognitive Assessment (MoCA). Linear mixed-effects modeling revealed that decreased FPN-DMN functional connectivity is associated with lower MoCA scores over time. This finding suggests that cortical connectivity is associated with and may contribute to the progression of cognitive symptoms in PD. Our findings advance knowledge about cognitive changes in PD and emphasize the importance of functional brain network architecture.

摘要

认知症状在帕金森病(PD)中很常见,但潜在的脑机制仍知之甚少。为了填补这一空白,我们使用纵向功能磁共振成像(fMRI)以及帕金森病进展标记物倡议(PPMI)的认知评估,在多个时间点研究了功能连接与认知之间的关系。我们计算了与PD认知功能相关的三个关键皮质脑网络内部及之间的静息态功能连接:额顶叶网络(FPN);突显网络(SAL);以及默认模式网络(DMN)。使用蒙特利尔认知评估量表(MoCA)评估认知功能。线性混合效应模型显示,随着时间的推移,FPN-DMN功能连接的降低与较低的MoCA评分相关。这一发现表明,皮质连接与PD认知症状的进展相关,并且可能对其有影响。我们的研究结果推进了对PD认知变化的认识,并强调了功能性脑网络结构的重要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6934/12132129/848969987634/nihpp-2025.05.13.25327462v1-f0001.jpg

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