7 tesla magnetic resonance imaging: A closer look at substantia nigra anatomy in Parkinson's disease

2014 ◽  
Vol 29 (13) ◽  
pp. 1574-1581 ◽  
Author(s):  
Stéphane Lehéricy ◽  
Eric Bardinet ◽  
Cyril Poupon ◽  
Marie Vidailhet ◽  
Chantal François
2021 ◽  
Vol 10 (2) ◽  
pp. 205846012098809
Author(s):  
Byeong H Oh ◽  
Hyeong C Moon ◽  
Aryun Kim ◽  
Hyeon J Kim ◽  
Chae J Cheong ◽  
...  

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.


2012 ◽  
Vol 27 (7) ◽  
pp. 822-830 ◽  
Author(s):  
Stéphane Lehéricy ◽  
Michael A. Sharman ◽  
Clarisse Longo Dos Santos ◽  
Raphaël Paquin ◽  
Cecile Gallea

2013 ◽  
Vol 8 (2) ◽  
pp. 85 ◽  
Author(s):  
David A Ziegler ◽  
Suzanne Corkin ◽  
◽  

The pathophysiology of idiopathic Parkinson’s disease (PD) is traditionally characterised as substantia nigra degeneration, but careful examination of the widespread neuropathological changes suggests individual differences in neuronal vulnerability. A major limitation to studies of disease progression in PD has been that conventional magnetic resonance imaging (MRI) techniques provide relatively poor contrast for the structures that are affected by the disease, and thus are not typically used in experimental or clinical studies. Here, we review the current state of structural MRI as applied to the analysis of the PD brain. We also describe a new multispectral MRI method that provides improved contrast for the substantia nigra and basal forebrain, which we recently used to show that these structures display different trajectories of volume loss early in the disease.


2017 ◽  
Vol 32 (9) ◽  
pp. 1331-1333 ◽  
Author(s):  
Leonor Correia Guedes ◽  
Sofia Reimão ◽  
Patrícia Paulino ◽  
Rita G. Nunes ◽  
Raquel Bouça-Machado ◽  
...  

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