Distinct manifestation of cognitive deficits associate with different resting-state network disruptions in non-demented patients with Parkinson's disease

作者:Kawabata Kazuya; Watanabe Hirohisa*; Hara Kazuhiro; Bagarinao Epifanio; Yoneyama Noritaka; Ogura Aya; Imai Kazunori; Masuda Michihito; Yokoi Takamasa; Ohdake Reiko; Tanaka Yasuhiro; Tsuboi Takashi; Nakamura Tomohiko; Hirayama Masaaki; Ito Mizuki; Atsuta Naoki; Maesawa Satoshi; Naganawa Shinji; Katsuno Masahisa; Sobue Gen*
来源:Journal of Neurology, 2018, 265(3): 688-700.
DOI:10.1007/s00415-018-8755-5

摘要

Cognitive deficits in Parkinson's disease (PD) are heterogeneous entities, but a relationship between the heterogeneity of cognitive deficits and resting-state network (RSN) changes remains elusive. In this study, we examined five sub-domain scores according to Addenbrooke's Cognitive Examination-Revised (ACE-R) for the cognitive evaluation and classification of 72 non-demented patients with PD. Twenty-eight patients were classified as PD with normal cognition (PD-NC). The remaining 44 were subdivided into the following 2 groups using a hierarchical cluster analysis: 20 with a predominant decrease in memory (PD with amnestic cognitive deficits: PD-A) and 24 with good memory who exhibited a decrease in other sub-domains (PD with non-amnestic cognitive deficits: PD-NA). We used an independent component analysis of RS-fMRI data to investigate the inter-group differences of RSN. Compared to the controls, the PD-A showed lower FC within the ventral default mode network (vDMN) and the visuospatial network. On the other hand, the PD-NA showed lower FC within the visual networks and the cerebellum-brainstem network. Significant differences in the FC within the vDMN and cerebellum-brainstem network were observed between the PD-A and PD-NA, which provided a good discrimination between PD-A and PD-NA using a support vector machine. Distinct patterns of cognitive deficits correspond to different RSN changes.

  • 出版日期2018-3