1. Subtypes evaluation of motor dysfunction in Parkinson's disease using neuromelanin-sensitive magnetic resonance imaging.
- Author
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Xiang Y, Gong T, Wu J, Li J, Chen Y, Wang Y, Li S, Cong L, Lin Y, Han Y, Yin L, Wang G, and Du Y
- Subjects
- Aged, Brain Mapping, Case-Control Studies, Female, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Parkinson Disease diagnostic imaging, Pars Compacta diagnostic imaging, Prospective Studies, Melanins metabolism, Parkinson Disease physiopathology, Pars Compacta metabolism
- Abstract
Parkinson's disease (PD) is characterized by the loss of neuromelanin (NM)-containing neurons in the substantia nigra pars compacta (SNc), and it is divided into two motor subtypes: the postural instability gait difficulty (PIGD) and the tremor dominant (TD) subtypes. With NM-sensitive Magnetic Resonance Imaging (NM-MRI), investigators have been able to accurately detect signal attenuation in SNc of PD; however, the difference of NM loss between PIGD and TD subtypes is still unclear. Thus, the aim of this study was to evaluate the differences in NM-MRI between PD motor subtypes. PD patients were classified into PIGD (n=14) and TD groups (n=9); 20 age and sex matched controls were recruited. We compared the signal intensity contrast ratios in medial and lateral regions of the SNc using NM-MRI in PIGD, TD, and controls, respectively. Remarkable signal attenuation was observed in the lateral part of SNc in PD when compared with the controls, and we were able to detect more severe signal attenuation in the medial part of SNc in PIGD patients in comparison with that in the TD group. Also, the medial part of SNc, ipsilateral to the most clinically affected side, showed the highest power to discriminate the PD motor subtypes (AUC, 81%; sensitivity, 71.4%; specificity, 77.8%). Our results indicated a potential diagnostic value of NM-MRI to discriminate the PD motor subtypes, providing new evidence for the neuropathology-based differences between the two subtypes., (Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.)
- Published
- 2017
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