默认模式网络
蒙特利尔认知评估
认知
神经科学
功能磁共振成像
帕金森病
心理学
静息状态功能磁共振成像
显著性(神经科学)
基底神经节
疾病
听力学
认知障碍
医学
内科学
中枢神经系统
作者
Brooke E. Yeager,Hunter P Twedt,Joel Bruss,Jordan L. Schultz,Nandakumar S. Narayanan
标识
DOI:10.1016/j.nicl.2024.103610
摘要
Parkinson's disease (PD) is a neurodegenerative disease with cognitive as well as motor impairments. While much is known about the brain networks leading to motor impairments in PD, less is known about the brain networks contributing to cognitive impairments. Here, we leveraged resting-state functional magnetic resonance imaging (rs-fMRI) data from the Parkinson's Progression Marker Initiative (PPMI) to examine network dysfunction in PD patients with cognitive impairment. We focus on canonical cortical networks linked to cognition, including the salience network (SAL), frontoparietal network (FPN), and default mode network (DMN), as well as a subcortical basal ganglia network (BGN). We used the Montreal Cognitive Assessment (MoCA) as a continuous index of coarse cognitive function in PD. In 82 PD patients, we found that lower MoCA scores were linked with lower intra-network connectivity of the FPN. We also found that lower MoCA scores were linked with lower inter-network connectivity between the SAL and the BGN, the SAL and the DMN, as well as the FPN and the DMN. These data elucidate the relationship of cortical and subcortical functional connectivity with cognitive impairments in PD.
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