Abnormal intrinsic brain functional network dynamics in Parkinson’s disease

作者：Jinhee Kim, Marion Criaud, Sang Soo Cho, María Díez‐Cirarda, Alexander Mihaescu, Sarah Coakeley, Christine Ghadery, Mikaeel Valli, Mark F. Jacobs, Sylvain Houle, Antonio P. Strafella · 发表于：Brain · 年份：2017 · DOI：10.1093/brain/awx233 · 被引用次数：392 · 研究领域：Functional Brain Connectivity Studies、Neurological disorders and treatments、Neural dynamics and brain function

See Nieuwhof and Helmich (doi:10.1093/brain/awx267) for a scientific commentary on this article. Parkinson’s disease is a neurodegenerative disorder characterized by nigrostriatal dopamine depletion. Previous studies measuring spontaneous brain activity using resting state functional magnetic resonance imaging have reported abnormal changes in broadly distributed whole-brain networks. Although resting state functional connectivity, estimating temporal correlations between brain regions, is measured with the assumption that intrinsic fluctuations throughout the scan are stable, dynamic changes of functional connectivity have recently been suggested to reflect aspects of functional capacity of neural systems, and thus may serve as biomarkers of disease. The present work is the first study to investigate the dynamic functional connectivity in patients with Parkinson’s disease, with a focus on the temporal properties of functional connectivity states as well as the variability of network topological organization using resting state functional magnetic resonance imaging. Thirty-one Parkinson’s disease patients and 23 healthy controls were studied using group spatial independent component analysis, a sliding windows approach, and graph-theory methods. The dynamic functional connectivity analyses suggested two discrete connectivity configurations: a more frequent, sparsely connected within-network state (State I) and a less frequent, more strongly interconnected between-network stat...