Cortical and subcortical functional connectivity and cognitive impairment in Parkinson’s disease

IF 3.4 2区 医学 Q2 NEUROIMAGING
Brooke E. Yeager , Hunter P. Twedt , Joel Bruss , Jordan Schultz , Nandakumar S. Narayanan
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Abstract

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.

帕金森病的皮层和皮层下功能连接与认知障碍
帕金森病(PD)是一种神经退行性疾病,具有认知和运动障碍。人们对导致帕金森病运动障碍的大脑网络知之甚少,但对导致认知障碍的大脑网络却知之甚少。在这里,我们利用帕金森病进展标志倡议(PPMI)的静息态功能磁共振成像(rs-fMRI)数据,研究了伴有认知障碍的帕金森病患者的网络功能障碍。我们重点研究了与认知相关的典型皮质网络,包括显著性网络(SAL)、额顶叶网络(FPN)和默认模式网络(DMN),以及皮质下基底节网络(BGN)。我们使用蒙特利尔认知评估(MoCA)作为衡量帕金森病患者粗认知功能的连续性指标。在82名帕金森病患者中,我们发现较低的MoCA得分与较低的FPN网络内连接性有关。我们还发现,MoCA得分较低与SAL和BGN、SAL和DMN以及FPN和DMN之间的网络间连接较低有关。这些数据阐明了皮层和皮层下功能连接与帕金森病认知障碍的关系。
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来源期刊
Neuroimage-Clinical
Neuroimage-Clinical NEUROIMAGING-
CiteScore
7.50
自引率
4.80%
发文量
368
审稿时长
52 days
期刊介绍: NeuroImage: Clinical, a journal of diseases, disorders and syndromes involving the Nervous System, provides a vehicle for communicating important advances in the study of abnormal structure-function relationships of the human nervous system based on imaging. The focus of NeuroImage: Clinical is on defining changes to the brain associated with primary neurologic and psychiatric diseases and disorders of the nervous system as well as behavioral syndromes and developmental conditions. The main criterion for judging papers is the extent of scientific advancement in the understanding of the pathophysiologic mechanisms of diseases and disorders, in identification of functional models that link clinical signs and symptoms with brain function and in the creation of image based tools applicable to a broad range of clinical needs including diagnosis, monitoring and tracking of illness, predicting therapeutic response and development of new treatments. Papers dealing with structure and function in animal models will also be considered if they reveal mechanisms that can be readily translated to human conditions.
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