ParkinsonCanadaV1, PubMed, Curation, bibRecord, 000686

Investigation of morphometric variability of subthalamic nucleus, red nucleus, and substantia nigra in advanced Parkinson's disease patients using automatic segmentation and PCA-based analysis.

Identifieur interne : 000686 ( PubMed/Curation ); précédent : 000685; suivant : 000687

Investigation of morphometric variability of subthalamic nucleus, red nucleus, and substantia nigra in advanced Parkinson's disease patients using automatic segmentation and PCA-based analysis.

Auteurs : Yiming Xiao [Canada] ; Pierre Jannin ; Tiziano D'Albis ; Nicolas Guizard ; Claire Haegelen ; Florent Lalys ; Marc Vérin ; D Louis Collins

Source :

Human brain mapping [ 1097-0193 ] ; 2014.

RBID : pubmed:24652699

English descriptors

KwdEn :
- Atlases as Topic, Cohort Studies, Female, Humans, Image Processing, Computer-Assisted (methods), Magnetic Resonance Imaging (methods), Male, Middle Aged, Parkinson Disease (pathology), Pattern Recognition, Automated (methods), Principal Component Analysis, Red Nucleus (pathology), Substantia Nigra (pathology), Subthalamic Nucleus (pathology).
MESH :
- methods : Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Pattern Recognition, Automated.
- pathology : Parkinson Disease, Red Nucleus, Substantia Nigra, Subthalamic Nucleus.
- Atlases as Topic, Cohort Studies, Female, Humans, Male, Middle Aged, Principal Component Analysis.

Abstract

Subthalamic nucleus (STN) deep brain stimulation (DBS) is an effective surgical therapy to treat Parkinson's disease (PD). Conventional methods employ standard atlas coordinates to target the STN, which, along with the adjacent red nucleus (RN) and substantia nigra (SN), are not well visualized on conventional T1w MRIs. However, the positions and sizes of the nuclei may be more variable than the standard atlas, thus making the pre-surgical plans inaccurate. We investigated the morphometric variability of the STN, RN and SN by using label-fusion segmentation results from 3T high resolution T2w MRIs of 33 advanced PD patients. In addition to comparing the size and position measurements of the cohort to the Talairach atlas, principal component analysis (PCA) was performed to acquire more intuitive and detailed perspectives of the measured variability. Lastly, the potential correlation between the variability shown by PCA results and the clinical scores was explored.

DOI: 10.1002/hbm.22478
PubMed: 24652699

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Le document en format XML

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<term>Magnetic Resonance Imaging (methods)</term>
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<term>Parkinson Disease (pathology)</term>
<term>Pattern Recognition, Automated (methods)</term>
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<front><div type="abstract" xml:lang="en">Subthalamic nucleus (STN) deep brain stimulation (DBS) is an effective surgical therapy to treat Parkinson's disease (PD). Conventional methods employ standard atlas coordinates to target the STN, which, along with the adjacent red nucleus (RN) and substantia nigra (SN), are not well visualized on conventional T1w MRIs. However, the positions and sizes of the nuclei may be more variable than the standard atlas, thus making the pre-surgical plans inaccurate. We investigated the morphometric variability of the STN, RN and SN by using label-fusion segmentation results from 3T high resolution T2w MRIs of 33 advanced PD patients. In addition to comparing the size and position measurements of the cohort to the Talairach atlas, principal component analysis (PCA) was performed to acquire more intuitive and detailed perspectives of the measured variability. Lastly, the potential correlation between the variability shown by PCA results and the clinical scores was explored.</div>
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   |texte=   Investigation of morphometric variability of subthalamic nucleus, red nucleus, and substantia nigra in advanced Parkinson's disease patients using automatic segmentation and PCA-based analysis.
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	La maladie de Parkinson au Canada (serveur d'exploration)
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La maladie de Parkinson au Canada (serveur d'exploration)

Investigation of morphometric variability of subthalamic nucleus, red nucleus, and substantia nigra in advanced Parkinson's disease patients using automatic segmentation and PCA-based analysis.

Investigation of morphometric variability of subthalamic nucleus, red nucleus, and substantia nigra in advanced Parkinson's disease patients using automatic segmentation and PCA-based analysis.

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