Prefrontal and hippocampal atrophy using 7-tesla magnetic resonance imaging in patients with Parkinson’s disease
EANS Academy. Oh B. 10/06/21; 339535; EP08032
Byeong Ho Oh
Contributions
Contributions
Abstract
Background: The pathology of Parkinson’s disease (PD) leads to morphological changes in brain structure. Currently, the progressive changes in gray matter (GM) volume that occur with time and are specific to patients with PD, compared to healthy controls (HCs), remain unclear. High-tesla magnetic resonance imaging (MRI) might be useful in differentiating neurological disorders by brain cortical changes. We aimed to investigate patterns in GM changes in patients with PD by using an automated segmentation method with 7-tesla (T) MRI.
Methods: High-resolution T1-weighted 7T MRI volumes of 24 hemispheres were acquired from 12 PD patients and 12 age- and sex-matched HCs with median ages of 64.5 years (range, 41-82) and 60.5 years (range, 25-74), respectively. Subgroup analysis was performed according to whether axial motor symptoms were present in the PD patients. Cortical volume, cortical thickness and subcortical volume were measured using a high-resolution image processing technique based on the Desikan-Kiliany-Tourvile (DKT) atlas and an automated segmentation method (FreeSurfer version 6.0).
Results: After cortical reconstruction, in 7T MRI volume segmental analysis, compared with the HCs, the PD 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).
Conclusions: We first demonstrated that 7T MRI detects structural abnormalities in PD patients compared to HCs using an automated segmentation method. Compared with the HCs, the PD patients showed global prefrontal cortical atrophy and hippocampal area atrophy.
Methods: High-resolution T1-weighted 7T MRI volumes of 24 hemispheres were acquired from 12 PD patients and 12 age- and sex-matched HCs with median ages of 64.5 years (range, 41-82) and 60.5 years (range, 25-74), respectively. Subgroup analysis was performed according to whether axial motor symptoms were present in the PD patients. Cortical volume, cortical thickness and subcortical volume were measured using a high-resolution image processing technique based on the Desikan-Kiliany-Tourvile (DKT) atlas and an automated segmentation method (FreeSurfer version 6.0).
Results: After cortical reconstruction, in 7T MRI volume segmental analysis, compared with the HCs, the PD 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).
Conclusions: We first demonstrated that 7T MRI detects structural abnormalities in PD patients compared to HCs using an automated segmentation method. Compared with the HCs, the PD patients showed global prefrontal cortical atrophy and hippocampal area atrophy.
Background: The pathology of Parkinson’s disease (PD) leads to morphological changes in brain structure. Currently, the progressive changes in gray matter (GM) volume that occur with time and are specific to patients with PD, compared to healthy controls (HCs), remain unclear. High-tesla magnetic resonance imaging (MRI) might be useful in differentiating neurological disorders by brain cortical changes. We aimed to investigate patterns in GM changes in patients with PD by using an automated segmentation method with 7-tesla (T) MRI.
Methods: High-resolution T1-weighted 7T MRI volumes of 24 hemispheres were acquired from 12 PD patients and 12 age- and sex-matched HCs with median ages of 64.5 years (range, 41-82) and 60.5 years (range, 25-74), respectively. Subgroup analysis was performed according to whether axial motor symptoms were present in the PD patients. Cortical volume, cortical thickness and subcortical volume were measured using a high-resolution image processing technique based on the Desikan-Kiliany-Tourvile (DKT) atlas and an automated segmentation method (FreeSurfer version 6.0).
Results: After cortical reconstruction, in 7T MRI volume segmental analysis, compared with the HCs, the PD 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).
Conclusions: We first demonstrated that 7T MRI detects structural abnormalities in PD patients compared to HCs using an automated segmentation method. Compared with the HCs, the PD patients showed global prefrontal cortical atrophy and hippocampal area atrophy.
Methods: High-resolution T1-weighted 7T MRI volumes of 24 hemispheres were acquired from 12 PD patients and 12 age- and sex-matched HCs with median ages of 64.5 years (range, 41-82) and 60.5 years (range, 25-74), respectively. Subgroup analysis was performed according to whether axial motor symptoms were present in the PD patients. Cortical volume, cortical thickness and subcortical volume were measured using a high-resolution image processing technique based on the Desikan-Kiliany-Tourvile (DKT) atlas and an automated segmentation method (FreeSurfer version 6.0).
Results: After cortical reconstruction, in 7T MRI volume segmental analysis, compared with the HCs, the PD 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).
Conclusions: We first demonstrated that 7T MRI detects structural abnormalities in PD patients compared to HCs using an automated segmentation method. Compared with the HCs, the PD patients showed global prefrontal cortical atrophy and hippocampal area atrophy.
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