ParkinsonFranceV1, PubMed, Corpus, bibRecord, 000441

Parkinson's disease and local atrophy in subcortical nuclei: insight from shape analysis.

Identifieur interne : 000441 ( PubMed/Corpus ); précédent : 000440; suivant : 000442

Parkinson's disease and local atrophy in subcortical nuclei: insight from shape analysis.

Auteurs : Federico Nemmi ; Umberto Sabatini ; Olivier Rascol ; Patrice Péran

Source :

Neurobiology of aging [ 1558-1497 ] ; 2015.

RBID : pubmed:25174648

English descriptors

KwdEn :
- Aged, Atrophy, Caudate Nucleus (pathology), Diffusion Magnetic Resonance Imaging, Female, Gray Matter (pathology), Humans, Male, Middle Aged, Parkinson Disease (pathology), Putamen (pathology).
MESH :
- pathology : Caudate Nucleus, Gray Matter, Parkinson Disease, Putamen.
- Aged, Atrophy, Diffusion Magnetic Resonance Imaging, Female, Humans, Male, Middle Aged.

Abstract

Parkinson's disease (PD) is characterized by loss of dopaminergic neurons in the substantia nigra pars compacta, inducing dopaminergic depletion in the striatum. Recently, subcortical nuclei shape analysis based on T1 imaging has been used in PD pathology. The present study aimed to test the hypothesis that changes in local volume detectable with T1-weighted imaging are concomitant with PD and may be used as biomarkers. We compared 21 PD patients and 20 control subjects using gray matter density and subcortical nuclei volume and shape. We also tested correlations between these parameters and clinical scales. A linear discriminant analyses was carried out using global volume and local atrophy. The differences revealed between the 2 groups were volume differences in the putamen and shape differences in the putamen and the caudate nucleus. A correlation was found between shape and motor symptoms. The discriminant analysis performed using local atrophy values led to the best classification. Our results show that shape analysis contributes valuable information to investigations concerning PD patients and helps to discriminate these patients from control subjects.

DOI: 10.1016/j.neurobiolaging.2014.07.010
PubMed: 25174648

Links to Exploration step

pubmed:25174648

Le document en format XML

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<author><name sortKey="Nemmi, Federico" sort="Nemmi, Federico" uniqKey="Nemmi F" first="Federico" last="Nemmi">Federico Nemmi</name>
<affiliation><nlm:affiliation>INSERM, Imagerie cérébrale et handicaps neurologiques, UMR 825, CHU PURPAN, Toulouse, France; Université de Toulouse, UPS, Imagerie cérébrale et handicaps neurologiques, UMR 825, CHU PURPAN, Toulouse, France. Electronic address: federico.nemmi@gmail.com.</nlm:affiliation>
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<author><name sortKey="Sabatini, Umberto" sort="Sabatini, Umberto" uniqKey="Sabatini U" first="Umberto" last="Sabatini">Umberto Sabatini</name>
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<author><name sortKey="Rascol, Olivier" sort="Rascol, Olivier" uniqKey="Rascol O" first="Olivier" last="Rascol">Olivier Rascol</name>
<affiliation><nlm:affiliation>INSERM, Imagerie cérébrale et handicaps neurologiques, UMR 825, CHU PURPAN, Toulouse, France; Université de Toulouse, UPS, Imagerie cérébrale et handicaps neurologiques, UMR 825, CHU PURPAN, Toulouse, France; Centre Hospitalier Universitaire de Toulouse, Service de Neurologie, CHU PURPAN, Toulouse, France; Service de Pharmacologie Clinique, Faculté de Médecine, Toulouse, France; Inserm, Centre d'Investigation Clinique 9302, CHU Purpan, Toulouse, France.</nlm:affiliation>
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<author><name sortKey="Peran, Patrice" sort="Peran, Patrice" uniqKey="Peran P" first="Patrice" last="Péran">Patrice Péran</name>
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<author><name sortKey="Rascol, Olivier" sort="Rascol, Olivier" uniqKey="Rascol O" first="Olivier" last="Rascol">Olivier Rascol</name>
<affiliation><nlm:affiliation>INSERM, Imagerie cérébrale et handicaps neurologiques, UMR 825, CHU PURPAN, Toulouse, France; Université de Toulouse, UPS, Imagerie cérébrale et handicaps neurologiques, UMR 825, CHU PURPAN, Toulouse, France; Centre Hospitalier Universitaire de Toulouse, Service de Neurologie, CHU PURPAN, Toulouse, France; Service de Pharmacologie Clinique, Faculté de Médecine, Toulouse, France; Inserm, Centre d'Investigation Clinique 9302, CHU Purpan, Toulouse, France.</nlm:affiliation>
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<author><name sortKey="Peran, Patrice" sort="Peran, Patrice" uniqKey="Peran P" first="Patrice" last="Péran">Patrice Péran</name>
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<series><title level="j">Neurobiology of aging</title>
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<term>Female</term>
<term>Gray Matter (pathology)</term>
<term>Humans</term>
<term>Male</term>
<term>Middle Aged</term>
<term>Parkinson Disease (pathology)</term>
<term>Putamen (pathology)</term>
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<front><div type="abstract" xml:lang="en">Parkinson's disease (PD) is characterized by loss of dopaminergic neurons in the substantia nigra pars compacta, inducing dopaminergic depletion in the striatum. Recently, subcortical nuclei shape analysis based on T1 imaging has been used in PD pathology. The present study aimed to test the hypothesis that changes in local volume detectable with T1-weighted imaging are concomitant with PD and may be used as biomarkers. We compared 21 PD patients and 20 control subjects using gray matter density and subcortical nuclei volume and shape. We also tested correlations between these parameters and clinical scales. A linear discriminant analyses was carried out using global volume and local atrophy. The differences revealed between the 2 groups were volume differences in the putamen and shape differences in the putamen and the caudate nucleus. A correlation was found between shape and motor symptoms. The discriminant analysis performed using local atrophy values led to the best classification. Our results show that shape analysis contributes valuable information to investigations concerning PD patients and helps to discriminate these patients from control subjects.</div>
</front>
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<Abstract><AbstractText>Parkinson's disease (PD) is characterized by loss of dopaminergic neurons in the substantia nigra pars compacta, inducing dopaminergic depletion in the striatum. Recently, subcortical nuclei shape analysis based on T1 imaging has been used in PD pathology. The present study aimed to test the hypothesis that changes in local volume detectable with T1-weighted imaging are concomitant with PD and may be used as biomarkers. We compared 21 PD patients and 20 control subjects using gray matter density and subcortical nuclei volume and shape. We also tested correlations between these parameters and clinical scales. A linear discriminant analyses was carried out using global volume and local atrophy. The differences revealed between the 2 groups were volume differences in the putamen and shape differences in the putamen and the caudate nucleus. A correlation was found between shape and motor symptoms. The discriminant analysis performed using local atrophy values led to the best classification. Our results show that shape analysis contributes valuable information to investigations concerning PD patients and helps to discriminate these patients from control subjects.</AbstractText>
<CopyrightInformation>Copyright © 2015 Elsevier Inc. All rights reserved.</CopyrightInformation>
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Parkinson's disease and local atrophy in subcortical nuclei: insight from shape analysis.

Parkinson's disease and local atrophy in subcortical nuclei: insight from shape analysis.

Source :

English descriptors

Abstract

Links to Exploration step

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri

Pour générer des pages wiki