Prefrontal and hippocampal atrophy using 7-tesla magnetic resonance imaging in patients with Parkinson’s disease

Author:

Oh Byeong H12,Moon Hyeong C13ORCID,Kim Aryun4,Kim Hyeon J2,Cheong Chae J5,Park Young Seok1236ORCID

Affiliation:

1. Department of Neuroscience, Graduate School, College of Medicine, Chungbuk National University, Cheongju, Republic of Korea

2. Department of Neurosurgery, Chungbuk National University Hospital, Cheongju, Republic of Korea

3. Gamma Knife Icon Center, Chungbuk National University Hospital, Cheongju, Republic of Korea

4. Department of Neurology, Chungbuk National University Hospital, Cheongju, Republic of Korea

5. Bioimaging Research Team, Korea Basic Science Institute, Cheongju, Republic of Korea

6. Institute for Stem Cell & Regenerative Medicine (ISCRM), Chungbuk National University, Cheongju, Republic of Korea

Abstract

Background The pathology of Parkinson’s disease leads to morphological changes in brain structure. Currently, the progressive changes in gray matter volume that occur with time and are specific to patients with Parkinson’s disease, compared to healthy controls, remain unclear. High-tesla magnetic resonance imaging might be useful in differentiating neurological disorders by brain cortical changes. Purpose We aimed to investigate patterns in gray matter changes in patients with Parkinson’s disease by using an automated segmentation method with 7-tesla magnetic resonance imaging. Material and Methods High-resolution T1-weighted 7 tesla magnetic resonance imaging volumes of 24 hemispheres were acquired from 12 Parkinson’s disease patients and 12 age- and sex-matched healthy controls with median ages of 64.5 (range, 41–82) years and 60.5 (range, 25–74) years, respectively. Subgroup analysis was performed according to whether axial motor symptoms were present in the Parkinson’s disease patients. Cortical volume, cortical thickness, and subcortical volume were measured using a high-resolution image processing technique based on the Desikan-Killiany-Tourville atlas and an automated segmentation method (FreeSurfer version 6.0). Results After cortical reconstruction, in 7 tesla magnetic resonance imaging volume segmental analysis, compared with the healthy controls, the Parkinson’s disease patients showed global cortical atrophy, mostly in the prefrontal area (rostral middle frontal, superior frontal, inferior parietal lobule, medial orbitofrontal, rostral anterior cingulate area), and subcortical volume atrophy in limbic/paralimbic areas (fusiform, hippocampus, amygdala). Conclusion We first demonstrated that 7 tesla magnetic resonance imaging detects structural abnormalities in Parkinson’s disease patients compared to healthy controls using an automated segmentation method. Compared with the healthy controls, the Parkinson’s disease patients showed global prefrontal cortical atrophy and hippocampal area atrophy.

Funder

National Research Foundation of Korea

Korea Basic Science Institute

Publisher

SAGE Publications

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