ParkinsonCanadaV1, PascalFrancis, Corpus, bibRecord, 000017

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 : 000017 ( PascalFrancis/Corpus ); précédent : 000016; suivant : 000018

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 ; Pierre Jannin ; Tiziano D'Albis ; Nicolas Guizard ; Claire Haegelen ; Florent Lalys ; Marc Verin ; D. Louis Collins

Source :

Human brain mapping [ 1065-9471 ] ; 2014.

RBID : Pascal:14-0190635

Descripteurs français

Pascal (Inist)
- Maladie de Parkinson, Pathologie du système nerveux, Morphométrie, Variabilité, Noyau sousthalamique, Noyau rouge, Locus niger, Stade avancé, Homme, Analyse automatique, Segmentation, Traitement image, Atlas, Analyse composante principale, Radiodiagnostic, Stimulation cérébrale profonde.

English descriptors

KwdEn :
- Advanced stage, Atlas, Automatic analysis, Deep brain stimulation, Human, Image processing, Locus niger, Morphometry, Nervous system diseases, Parkinson disease, Principal component analysis, Radiodiagnosis, Red nucleus, Segmentation, Subthalamic nucleus, Variability.

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 Tlw 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.

Notice en format standard (ISO 2709)

Pour connaître la documentation sur le format Inist Standard.

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Format Inist (serveur)

NO :	PASCAL 14-0190635 INIST
ET :	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
AU :	YIMING XIAO; JANNIN (Pierre); D'ALBIS (Tiziano); GUIZARD (Nicolas); HAEGELEN (Claire); LALYS (Florent); VERIN (Marc); COLLINS (D. Louis)
AF :	McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University/Montreal/Canada (1 aut., 4 aut., 8 aut.); INSERM, U1099/Rennes/France (2 aut., 3 aut., 5 aut., 6 aut.); Université de Rennes 1, LTSI/Rennes/France (2 aut., 3 aut., 5 aut., 6 aut.); Service de Neurochirurgie, CHU Pontchaillou/Rennes/France (5 aut.); Neurology Department, University Hospital Rennes/France (7 aut.); EA 4712 "Behavior and Basal Ganglia", Rennes 1 University/France (7 aut.)
DT :	Publication en série; Niveau analytique
SO :	Human brain mapping; ISSN 1065-9471; Etats-Unis; Da. 2014; Vol. 35; No. 9; Pp. 4330-4344; Bibl. 1 p.3/4
LA :	Anglais
EA :	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 Tlw 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.
CC :	002B24A06; 002B17G
FD :	Maladie de Parkinson; Pathologie du système nerveux; Morphométrie; Variabilité; Noyau sousthalamique; Noyau rouge; Locus niger; Stade avancé; Homme; Analyse automatique; Segmentation; Traitement image; Atlas; Analyse composante principale; Radiodiagnostic; Stimulation cérébrale profonde
FG :	Encéphale; Système nerveux central; Pathologie de l'encéphale; Syndrome extrapyramidal; Maladie dégénérative; Pathologie du système nerveux central
ED :	Parkinson disease; Nervous system diseases; Morphometry; Variability; Subthalamic nucleus; Red nucleus; Locus niger; Advanced stage; Human; Automatic analysis; Segmentation; Image processing; Atlas; Principal component analysis; Radiodiagnosis; Deep brain stimulation
EG :	Encephalon; Central nervous system; Cerebral disorder; Extrapyramidal syndrome; Degenerative disease; Central nervous system disease
SD :	Parkinson enfermedad; Sistema nervioso patología; Morfometría; Variabilidad; Núcleo subtalámico; Núcleo rojo; Locus níger; Estadio avanzado; Hombre; Análisis automático; Segmentación; Procesamiento imagen; Atlas; Análisis componente principal; Radiodiagnóstico
LO :	INIST-26079.354000150333850060
ID :	14-0190635

Links to Exploration step

Pascal:14-0190635

Le document en format XML

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<sourceDesc><biblStruct><analytic><title xml:lang="en" level="a">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</title>
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<author><name sortKey="Guizard, Nicolas" sort="Guizard, Nicolas" uniqKey="Guizard N" first="Nicolas" last="Guizard">Nicolas Guizard</name>
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<author><name sortKey="Haegelen, Claire" sort="Haegelen, Claire" uniqKey="Haegelen C" first="Claire" last="Haegelen">Claire Haegelen</name>
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<ET>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</ET>
<AU>YIMING XIAO; JANNIN (Pierre); D'ALBIS (Tiziano); GUIZARD (Nicolas); HAEGELEN (Claire); LALYS (Florent); VERIN (Marc); COLLINS (D. Louis)</AU>
<AF>McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University/Montreal/Canada (1 aut., 4 aut., 8 aut.); INSERM, U1099/Rennes/France (2 aut., 3 aut., 5 aut., 6 aut.); Université de Rennes 1, LTSI/Rennes/France (2 aut., 3 aut., 5 aut., 6 aut.); Service de Neurochirurgie, CHU Pontchaillou/Rennes/France (5 aut.); Neurology Department, University Hospital Rennes/France (7 aut.); EA 4712 "Behavior and Basal Ganglia", Rennes 1 University/France (7 aut.)</AF>
<DT>Publication en série; Niveau analytique</DT>
<SO>Human brain mapping; ISSN 1065-9471; Etats-Unis; Da. 2014; Vol. 35; No. 9; Pp. 4330-4344; Bibl. 1 p.3/4</SO>
<LA>Anglais</LA>
<EA>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 Tlw 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.</EA>
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<FG>Encéphale; Système nerveux central; Pathologie de l'encéphale; Syndrome extrapyramidal; Maladie dégénérative; Pathologie du   système nerveux central</FG>
<ED>Parkinson disease; Nervous system diseases; Morphometry; Variability; Subthalamic nucleus; Red nucleus; Locus niger; Advanced stage; Human; Automatic analysis; Segmentation; Image processing; Atlas; Principal component analysis; Radiodiagnosis; Deep brain stimulation</ED>
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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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