Magnetic resonance morphometry of the loss of gray matter volume in Parkinson’s disease patients

Voxel-based morphometry can be used to quantitatively compare structural differences and func-tional changes of gray matter in subjects. In the present study, we compared gray matter images of 32 patients with Parkinson’s disease and 25 healthy controls using voxel-based morphometry based on 3.0 T h...

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Published inNeural regeneration research Vol. 8; no. 27; pp. 2557 - 2565
Main Authors Xia, Jianguo, Wang, Juan, Tian, Weizhong, Ding, Hongbin, Wei, Qilin, Huang, Huanxin, Wang, Jun, Zhao, Jinli, Gu, Hongmei, Tang, Lemin
Format Journal Article
LanguageEnglish
Published India Medknow Publications and Media Pvt. Ltd 25.09.2013
Department of Radiology, Taizhou People’s Hospital of Nantong University, Nantong 225300, Jiangsu Province, China%Department of Medical Image Engineering, Medical School of Nantong University, Nantong 226001, Jiangsu Province, China%Department of Geriatrics, Affiliated Hospital of Nantong University, Nantong 226001, Jiangsu Province, China%Department of Radiology, Affiliated Hospital of Nantong University, Nantong 226001, Jiangsu Province, China
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Summary:Voxel-based morphometry can be used to quantitatively compare structural differences and func-tional changes of gray matter in subjects. In the present study, we compared gray matter images of 32 patients with Parkinson’s disease and 25 healthy controls using voxel-based morphometry based on 3.0 T high-field magnetic resonance T1-weighted imaging and clinical neurological scale scores. Results showed that the scores in Mini-Mental State Examination and Montreal Cognitive Assessment were lower in patients compared with controls. In particular, the scores of visuospatial/executive function items in Montreal Cognitive Assessment were significantly reduced, but mean scores of non-motor symptoms significantly increased, in patients with Parkinson’s dis-ease. In addition, gray matter volume was significantly diminished in Parkinson’s disease patients compared with normal controls, including bilateral temporal lobe, bilateral occipital lobe, bilateral parietal lobe, bilateral frontal lobe, bilateral insular lobe, bilateral parahippocampal gyrus, bilateral amygdale, right uncus, and right posterior lobe of the cerebel um. These findings indicate that voxel-based morphometry can accurately and quantitatively assess the loss of gray matter volume in patients with Parkinson's disease, and provide essential neuroimaging evidence for multisystem pathological mechanisms involved in Parkinson’s disease.
Bibliography:neural regeneration; neuroimaging; neurodegeneration; voxel-based morphometry; Parkinson'sdisease; MRI; dopamine; non-motor symptoms; gray matter abnormality; region of interest;Mini-Mental State Examination; Montreal Cognitive Assessment; neurodegenerative disease;grants-supported paper; neuroregeneration
Voxel-based morphometry can be used to quantitatively compare structural differences and func-tional changes of gray matter in subjects. In the present study, we compared gray matter images of 32 patients with Parkinson’s disease and 25 healthy controls using voxel-based morphometry based on 3.0 T high-field magnetic resonance T1-weighted imaging and clinical neurological scale scores. Results showed that the scores in Mini-Mental State Examination and Montreal Cognitive Assessment were lower in patients compared with controls. In particular, the scores of visuospatial/executive function items in Montreal Cognitive Assessment were significantly reduced, but mean scores of non-motor symptoms significantly increased, in patients with Parkinson’s dis-ease. In addition, gray matter volume was significantly diminished in Parkinson’s disease patients compared with normal controls, including bilateral temporal lobe, bilateral occipital lobe, bilateral parietal lobe, bilateral frontal lobe, bilateral insular lobe, bilateral parahippocampal gyrus, bilateral amygdale, right uncus, and right posterior lobe of the cerebel um. These findings indicate that voxel-based morphometry can accurately and quantitatively assess the loss of gray matter volume in patients with Parkinson's disease, and provide essential neuroimaging evidence for multisystem pathological mechanisms involved in Parkinson’s disease.
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Author statements: The manuscript is original, has not been submitted to or is not under consideration by another publication, has not been previously published in any language or any form, including electronic, and contains no disclosure of confidential information or authorship/patent application/funding source disputations.
Jianguo Xia and Juan Wang contributed equally to this work.
Author contributions: Xia JG reviewed the references, extracted the data and wrote the manuscript. Wang J analyzed the data and revised the manuscript. Tang LM guided the experiment. All authors contributed to experimental operational procedures and approved the final version of the paper.
Jianguo Xia, Master, Attending physician.
ISSN:1673-5374
1876-7958
DOI:10.3969/j.issn.1673-5374.2013.27.007