Publication:
Obesity and Gray Matter Volume Assessed by Neuroimaging: A Systematic Review

dc.contributor.authorFernández-Andújar, Marina
dc.contributor.authorMorales-García, Ester
dc.contributor.authorGarcía-Casares, Natalia
dc.contributor.authoraffiliation[Fernández-Andújar,M] Facultad de Psicología, Universitat Abat Oliba CEU, CEU Universities, Barcelona, Spain. [Morales-García,E] Servicio de Neurología, Hospital Universitario 12 de Octubre, Madrid, Spain. [García-Casares,N] Department of Medicine, Faculty of Medicine, University of Malaga, Malaga, Spain. [García-Casares,N] Centro de Investigaciones Médico-Sanitarias (C.I.M.E.S), University of Malaga, Malaga, Spain. [García-Casares,N] Área de Enfermedades Cardiovasculares, Obesidad y Diabetes, Instituto de Investigación Biomédica de Málaga (IBIMA), Malaga, Spain.
dc.date.accessioned2024-02-19T15:29:51Z
dc.date.available2024-02-19T15:29:51Z
dc.date.issued2021-07-28
dc.description.abstractObesity has become a major public and individual health problem due to its high worldwide prevalence and its relation with comorbid conditions. According to previous studies, obesity is related to an increased risk of cognitive impairment and dementia. This systematic review aims to further examine the present state of the art about the association between obesity and gray matter volume (GMV) as assessed by magnetic resonance imaging (MRI). A search was conducted in Pubmed, SCOPUS and Cochrane of those studies released before 1 February 2021 including MRIs to assess the GMVs in obese participants. From this search, 1420 results were obtained, and 34 publications were finally included. Obesity was mainly measured by the body mass index, although other common types of evaluations were used (e.g., waist circumference, waist-to-hip ratio and plasma leptin levels). The selected neuroimaging analysis methods were voxel-based morphometry (VBM) and cortical thickness (CT), finding 21 and 13 publications, respectively. There were 30 cross-sectional and 2 prospective longitudinal studies, and 2 articles had both cross-sectional and longitudinal designs. Most studies showed a negative association between obesity and GMV. This would have important public health implications, as obesity prevention could avoid a potential risk of GMV reductions, cognitive impairment and dementia.
dc.identifier.doi10.3390/brainsci11080999
dc.identifier.e-issn2076-3425es_ES
dc.identifier.journalBrain Scienceses_ES
dc.identifier.otherhttp://hdl.handle.net/10668/3803
dc.identifier.pubmedID34439618es_ES
dc.identifier.urihttp://hdl.handle.net/20.500.12105/18417
dc.language.isoeng
dc.publisherMultidisciplinary Digital Publishing Institute (MDPI)
dc.relation.publisherversionhttps://www.mdpi.com/2076-3425/11/8/999/htmes
dc.rights.accessRightsopen accesses_ES
dc.rights.licenseAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectObesity
dc.subjectAdiposity
dc.subjectVoxel-based morphometry
dc.subjectMRI
dc.subjectCT
dc.subjectAtrophy
dc.subjectGMV
dc.subjectObesidad
dc.subjectAdiposidad
dc.subjectImagen por resonancia magnética
dc.subjectAtrofia
dc.subjectRevisión sistemática
dc.subject.meshHumans
dc.subject.meshWaist-Hip Ratio
dc.subject.meshBody Mass Index
dc.subject.meshWaist Circumference
dc.subject.meshLeptin
dc.subject.meshCross-Sectional Studies
dc.subject.meshProspective Studies
dc.subject.meshMagnetic Resonance Imaging
dc.subject.meshNeuroimaging
dc.subject.meshObesity
dc.subject.meshDementia
dc.subject.meshTomography, X-Ray Computed
dc.titleObesity and Gray Matter Volume Assessed by Neuroimaging: A Systematic Review
dc.typereview article
dc.type.hasVersionVoR
dspace.entity.typePublication
relation.isPublisherOfPublication30293a55-0e53-431f-ae8c-14ab01127be9
relation.isPublisherOfPublication.latestForDiscovery30293a55-0e53-431f-ae8c-14ab01127be9

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