Imaging Parkinson's disease using functional and diffusion MRI

REKTOROVÁ, Irena. Imaging Parkinson's disease using functional and diffusion MRI. PARKINSONISM & RELATED DISORDERS. OXFORD: ELSEVIER SCI LTD, 2019, vol. 62, MAY 2019, p. 1-2. ISSN 1353-8020. Available from: https://dx.doi.org/10.1016/j.parkreldis.2019.06.006.

Basic information

• Original name: Imaging Parkinson's disease using functional and diffusion MRI
• Authors: REKTOROVÁ, Irena (203 Czech Republic, guarantor, belonging to the institution).
• Edition: PARKINSONISM & RELATED DISORDERS, OXFORD, ELSEVIER SCI LTD, 2019, 1353-8020.

Other information

• Original language: English
• Type of outcome: Article in a journal (not reviewed)
• Field of Study: 30103 Neurosciences
• Confidentiality degree: is not subject to a state or trade secret
• WWW: URL
• Impact factor: Impact factor: 3.926
• RIV identification code: RIV/00216224:14740/19:00110654
• Organization unit: Central European Institute of Technology
• Doi: http://dx.doi.org/10.1016/j.parkreldis.2019.06.006
• UT WoS: 000476961700001
• Keywords in English: Parkinson's disease; functional MRI; diffusion MRI
• Tags: podil, rivok
• Tags: International impact

Abstract

Resting-state functional MRI (fMRI) and diffusion MRI (dMRI) have been widely exploited in studies of Parkinson's disease (PD) in the attempt to identify early diagnostic biomarkers of PD and to describe neural correlates of both motor and non-motor symptoms of the disease and their progression. With resting-state fMRI (rs-fMRI), study results remain controversial particularly because of the heterogeneity of PD populations studied, the various analytical methods used, and the impact of distinct brain pathology, neurodegeneration, and dopaminergic medication on the resting-state functional connectivity (rs-FC) strength.