Title | Comparison of the Brain Volume in Essential Tremor and Parkinson's Disease Tremor Using an Automated Segmentation Method. |
Publication Type | Journal Article |
Year of Publication | 2015 |
Authors | Choi S-M, Kim BC, Chang J, Choi K-H, Nam T-S, Kim J-T, Lee S-H, Park M-S, Yoon W, de Leon MJ |
Journal | Eur Neurol |
Volume | 73 |
Issue | 5-6 |
Pagination | 303-9 |
Date Published | 2015 |
ISSN | 1421-9913 |
Keywords | Aged, Aged, 80 and over, Atrophy, Brain, Essential Tremor, Female, Humans, Image Interpretation, Computer-Assisted, Magnetic Resonance Imaging, Male, Middle Aged, Parkinson Disease |
Abstract | BACKGROUND: Essential tremor (ET) and Parkinson's disease (PD) are common neurological disorders in elderly people, and some features of ET and PD may overlap. Quantitative analysis of brain atrophy may be useful in differentiating neurodegenerative disorders. The aim of this study was to identify the volumetric differences of subcortical structures in patients with ET and PD tremor using an automated segmentation method. METHODS: Volumetric MRIs were obtained in 45 patients with ET, 45 patients with PD tremor, and 45 age- and sex-matched control subjects. The volume of the different brain structures was measured by the automated segmentation method (FreeSurfer). RESULTS: Volumetric data obtained with automated segmentation of cerebral regions showed a significant atrophy of the cerebellum in patients with ET. Cerebellar atrophy of ET patients was more significant in the white matter than in the grey matter, and it was noted only in patients with ET having a head tremor. No volumetric differences were found between the PD group and the control group. CONCLUSION: Our study suggests that volumetric differences in subcortical structures using whole brain segmentation method may help to differentiate ET from PD tremor. |
DOI | 10.1159/000381708 |
Alternate Journal | Eur Neurol |
PubMed ID | 25925562 |
Grant List | R01 AG012101 / AG / NIA NIH HHS / United States R01 AG022374 / AG / NIA NIH HHS / United States |
Related Institute:
Brain Health Imaging Institute (BHII)