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Resting‐State Functional Brain Networks in Parkinson's Disease
Author(s) -
Baggio Hugo C.,
Segura Bàrbara,
Junque Carme
Publication year - 2015
Publication title -
cns neuroscience and therapeutics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.403
H-Index - 69
eISSN - 1755-5949
pISSN - 1755-5930
DOI - 10.1111/cns.12417
Subject(s) - parkinson's disease , neuroimaging , resting state fmri , disease , neuroscience , functional connectivity , medicine , cognition , perspective (graphical) , cognitive impairment , psychology , computer science , pathology , artificial intelligence
Summary The network approach is increasingly being applied to the investigation of normal brain function and its impairment. In the present review, we introduce the main methodological approaches employed for the analysis of resting‐state neuroimaging data in Parkinson's disease studies. We then summarize the results of recent studies that used a functional network perspective to evaluate the changes underlying different manifestations of Parkinson's disease, with an emphasis on its cognitive symptoms. Despite the variability reported by many studies, these methods show promise as tools for shedding light on the pathophysiological substrates of different aspects of Parkinson's disease, as well as for differential diagnosis, treatment monitoring and establishment of imaging biomarkers for more severe clinical outcomes.

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