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Brain proton magnetic resonance spectroscopy in patients with Parkinson's disease.

Authors :
Shoeibi, Ali
Verdipour, Mahdieh
Hoseini, Alireza
Moshfegh, Mehdi
Olfati, Nahid
Layegh, Parvaneh
Dadgar-Moghadam, Maliheh
Farzadfard, Mohammad Taghi
Rezaeitalab, Fariborz
Borji, Nahid
Source :
Current Journal of Neurology. 2022, Vol. 21 Issue 3, p156-161. 6p.
Publication Year :
2022

Abstract

Background: The accuracy of current laboratory and imaging studies for diagnosis and monitoring of Parkinson's disease (PD) severity is low and diagnosis is mainly dependent on clinical examination. Proton magnetic resonance spectroscopy (MRS) is a non-invasive technique that can assess the chemical profile of the brain. In this study, we evaluated the utility of proton MRS in diagnosis of PD and determination of its severity. Methods: Patients with PD and healthy age-matched controls were studied using proton MRS. The level of N-acetylaspartate (NAA), total creatine (Cr), and total choline (Cho), and their ratios were calculated in substantia nigra (SN), putamen (Pu), and motor cortex. PD severity was assessed by the Unified Parkinson's Disease Rating Scale (UPDRS) and the Hoehn and Yahr scale. Results: Compared to 25 healthy controls (18 men, age: 59.00 ± 8.39 years), our 30 patients with PD (24 men, age: 63.80 ± 12.00 years, 29 under treatment) showed no significant difference in the metabolite ratios in SN, Pu, and motor cortex. Nigral level of NAA/Cr was significantly correlated with total UPDRS score in patients with PD (r = -0.35, P = 0.08). Moreover, patients with PD with Hoehn and Yahr scale score = 2 had a lower NAA/Cr level in SN compared to patients with a lower stage. Conclusion: This study shows that 1.5 tesla proton MRS is unable to detect metabolite abnormalities in patients with PD who are under treatment. However, the NAA/Cr ratio in the SN might be a useful imaging biomarker for evaluation of disease severity in these patients. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
2717011X
Volume :
21
Issue :
3
Database :
Academic Search Index
Journal :
Current Journal of Neurology
Publication Type :
Academic Journal
Accession number :
160273253
Full Text :
https://doi.org/10.18502/cjn.v21i3.11108