TY - JOUR
T1 - Distinct manifestation of cognitive deficits associate with different resting-state network disruptions in non-demented patients with Parkinson’s disease
AU - Kawabata, Kazuya
AU - Watanabe, Hirohisa
AU - Hara, Kazuhiro
AU - Bagarinao, Epifanio
AU - Yoneyama, Noritaka
AU - Ogura, Aya
AU - Imai, Kazunori
AU - Masuda, Michihito
AU - Yokoi, Takamasa
AU - Ohdake, Reiko
AU - Tanaka, Yasuhiro
AU - Tsuboi, Takashi
AU - Nakamura, Tomohiko
AU - Hirayama, Masaaki
AU - Ito, Mizuki
AU - Atsuta, Naoki
AU - Maesawa, Satoshi
AU - Naganawa, Shinji
AU - Katsuno, Masahisa
AU - Sobue, Gen
N1 - Publisher Copyright:
© 2018, Springer-Verlag GmbH Germany, part of Springer Nature.
PY - 2018/3/1
Y1 - 2018/3/1
N2 - 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.
AB - 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.
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U2 - 10.1007/s00415-018-8755-5
DO - 10.1007/s00415-018-8755-5
M3 - Article
C2 - 29392456
AN - SCOPUS:85042875746
SN - 0340-5354
VL - 265
SP - 688
EP - 700
JO - Journal of Neurology
JF - Journal of Neurology
IS - 3
ER -