| Literature DB >> 30638456 |
Hugo C Baggio1, Carme Junqué2.
Abstract
Functional magnetic resonance imaging (fMRI) has been used to study the neural bases of cognitive deficits in Parkinson's disease for several years. Traditionally, task-based fMRI has been applied to study specific cognitive functions, providing information on disease-related alterations and regarding the physiological bases of normal cognition, the dopaminergic system, and the frontostriatal circuits. More recently, functional connectivity techniques using resting-state fMRI data have been developed. Unconstrained by specific cognitive tasks, these techniques allow assessing whole-brain patterns of connectivity believed to be useful proxies for the underlying functional architecture of the brain. These methods have shown that different types of Parkinson's disease-related cognitive deficits are associated with patterns of altered connectivity within and between resting-state intrinsic connectivity networks. Although methodological standardization and the vulnerability of fMRI techniques to artifacts mandate further technical refinement, early studies provide encouraging results regarding the potential of fMRI-derived parameters for the ultimate goal of individual-subject classification.Entities:
Keywords: Attention; Cognitive impairment; Executive functions; Functional connectivity; Functional magnetic resonance imaging; Memory; Parkinson's disease; Perception; Resting-state
Year: 2018 PMID: 30638456 DOI: 10.1016/bs.irn.2018.09.010
Source DB: PubMed Journal: Int Rev Neurobiol ISSN: 0074-7742 Impact factor: 3.230