Literature DB >> 25959682

The trajectory of disturbed resting-state cerebral function in Parkinson's disease at different Hoehn and Yahr stages.

ChunYan Luo1, XiaoYan Guo1, Wei Song1, Qin Chen1, Jing Yang1, QiYong Gong2, Hui-Fang Shang1.   

Abstract

OBJECTIVE: We aim to investigate the disturbance of neural network associated with the different clinical stages of Parkinson's disease (PD).
METHOD: We recruited 80 patients at different H&Y stages of PD (28 at H&Y stage I, 28 at H&Y stage II, 24 at H&Y stage III) and 30 normal controls. All participants underwent resting-state fMRI scans on a 3-T MR system. The amplitude of low-frequency fluctuation (ALFF) of blood oxygen level-dependent signals was used to characterize regional cerebral function. Functional integration across the brain regions was evaluated by a seed voxel correlation approach.
RESULTS: PD patients had decreased regional activities in left occipital and lingual regions; these regions show decreased functional connection pattern with temporal regions, which is deteriorating as H&Y stage ascending. In addition, PD patients, especially those at stage II, exhibit increased regional activity in the posterior regions of default mode network (DMN), increased anticorrelation between posterior cingulate cortex (PCC) and cortical regions outside DMN, and higher temporal coherence within DMN. Those indicate more highly functioned DMN in PD patients at stage II.
CONCLUSIONS: Our study demonstrated the trajectories of resting-state cerebral function disturbance in PD patients at different H&Y stages. Impairment in functional integration of occipital-temporal cortex might be a promising measurement to evaluate and potentially track functional substrates of disease evolution of PD.
© 2015 Wiley Periodicals, Inc.

Entities:  

Keywords:  Hoehn and Yahr stage; Parkinson's disease; default mode network; occipital-temporal; resting-state fMRI

Mesh:

Year:  2015        PMID: 25959682      PMCID: PMC6869419          DOI: 10.1002/hbm.22831

Source DB:  PubMed          Journal:  Hum Brain Mapp        ISSN: 1065-9471            Impact factor:   5.038


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