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CNS Neurosci Ther. 2015 Oct;21(10):793-801. doi: 10.1111/cns.12417. Epub 2015 Jul 30.

Resting-state functional brain networks in Parkinson's disease.

Author information

1
Departament de Psiquiatria i Psicobiologia Clínica, Universitat de Barcelona, Barcelona, Catalonia, Spain.
2
Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Catalonia, Spain.
3
Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Hospital Clínic de Barcelona, Barcelona, Catalonia, Spain.

Abstract

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.

KEYWORDS:

Functional magnetic resonance imaging; Neural networks; Parkinson's disease; Resting-state

PMID:
26224057
PMCID:
PMC6093256
DOI:
10.1111/cns.12417
[Indexed for MEDLINE]
Free PMC Article

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