Functional MRI in Parkinson's Disease Cognitive Impairment
International Review of Neurobiology, ISSN: 0074-7742, Vol: 144, Page: 29-58
2019
- 19Citations
- 88Captures
- 1Mentions
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Metrics Details
- Citations19
- Citation Indexes19
- 19
- CrossRef13
- Captures88
- Readers88
- 88
- Mentions1
- News Mentions1
- 1
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Functional MRI in Parkinson's Disease Cognitive Impairment.
Int Rev Neurobiol. 2019;144:29-58. Epub 2018 Oct 17 Authors: Baggio HC, Junqué C PubMed: 30638456 Submit Comment
Article Description
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.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S0074774218301107; http://dx.doi.org/10.1016/bs.irn.2018.09.010; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85054813884&origin=inward; http://www.ncbi.nlm.nih.gov/pubmed/30638456; https://linkinghub.elsevier.com/retrieve/pii/S0074774218301107; https://dx.doi.org/10.1016/bs.irn.2018.09.010
Elsevier BV
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