Structural Brain Alterations in Metabolic Syndrome: A Comprehensive MRI Volumetric Analysis of Subcortical and Associated Structures

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Özet

Objective: This study aims to elucidate the comprehensive effects of metabolic syndrome (MetS) on the structural integrity of subcortical brain regions and associated structures through high-resolution magnetic resonance imaging (MRI) volumetric analysis, thereby contributing to a deeper understanding of the neuroanatomical dimensions of MetS and its potential implications for cognitive functions and overall brain health. Methods: A cross-sectional design was implemented, involving 25 individuals diagnosed with MetS for at least one year and a healthy control group of 15 individuals at a tertiary hospital’s family medicine clinic in Eastern Turkey. Participants underwent a high-resolution MRI scan using a 1.5T Siemens Aera scanner. The MRICloud platform was employed for comprehensive segmentation and quantitative analysis of various brain structures. Results: The study revealed significant volumetric reductions in all measured subcortical brain regions among individuals with MetS compared to the control group (all P < 0.05). Notable differences were observed in key structures such as the substantia nigra, corpus callosum, and thalamus. In subcortical structures, the largest volumetric differences were noted in the basal ganglia L (1322.4 mm³), while the most significant percentage differences were seen in the substantia nigra R (25.24%) and caudate nucleus L (21.02%). Conclusion: The findings from this study underscore the significant neuroanatomical changes associated with MetS, manifesting as volumetric reductions in critical subcortical brain areas. These alterations underscore the necessity for further research into the comprehensive influence of MetS on cognitive processes and the potential for early therapeutic interventions. Copyright 2024, Mary Ann Liebert, Inc., publishers.

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RDL Kalıcı Bağlantı (PID)
https://rdlopen.rawdatalibrary.net/r/ebyu/11322Resmi atıflarda kullanılan kalıcı adres
DOI
https://doi.org/10.1089/met.2024.0048Yayıncı resmi DOI adresi
Tam Kayıt
AlanDeğerDil
dc.contributor.authorCakir, Hatice
dc.contributor.authorSunar, Mukadder
dc.contributor.authorAydın, Sonay
dc.contributor.authorCakir, Osman Kagan
dc.contributor.authorGursoy, Ersan
dc.date.accessioned2026-10-18T20:26:23.471866424Z
dc.date.available2026-10-18T20:26:23.471866424Z
dc.date.issued2024
dc.description.abstractObjective: This study aims to elucidate the comprehensive effects of metabolic syndrome (MetS) on the structural integrity of subcortical brain regions and associated structures through high-resolution magnetic resonance imaging (MRI) volumetric analysis, thereby contributing to a deeper understanding of the neuroanatomical dimensions of MetS and its potential implications for cognitive functions and overall brain health. Methods: A cross-sectional design was implemented, involving 25 individuals diagnosed with MetS for at least one year and a healthy control group of 15 individuals at a tertiary hospital’s family medicine clinic in Eastern Turkey. Participants underwent a high-resolution MRI scan using a 1.5T Siemens Aera scanner. The MRICloud platform was employed for comprehensive segmentation and quantitative analysis of various brain structures. Results: The study revealed significant volumetric reductions in all measured subcortical brain regions among individuals with MetS compared to the control group (all P < 0.05). Notable differences were observed in key structures such as the substantia nigra, corpus callosum, and thalamus. In subcortical structures, the largest volumetric differences were noted in the basal ganglia L (1322.4 mm³), while the most significant percentage differences were seen in the substantia nigra R (25.24%) and caudate nucleus L (21.02%). Conclusion: The findings from this study underscore the significant neuroanatomical changes associated with MetS, manifesting as volumetric reductions in critical subcortical brain areas. These alterations underscore the necessity for further research into the comprehensive influence of MetS on cognitive processes and the potential for early therapeutic interventions. Copyright 2024, Mary Ann Liebert, Inc., publishers.
dc.identifier.doi10.1089/met.2024.0048
dc.identifier.eissn1557-8518
dc.identifier.endpage590
dc.identifier.issn1540-4196
dc.identifier.issue8
dc.identifier.pmid38885149
dc.identifier.scopus2-s2.0-85201002779
dc.identifier.startpage583
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/ebyu/11322
dc.identifier.volume22
dc.identifier.wosWOS:001250373900001
dc.language.isoen
dc.publisherMary Ann Liebert Inc.
dc.relation.ispartofMetabolic Syndrome and Related Disorders
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectbrain mapping
dc.subjectbrain volumes
dc.subjectmetabolic syndrome
dc.subjectneuroimaging
dc.subjectsubcortical structures
dc.subjectAdult
dc.subjectBrain
dc.subjectCase-Control Studies
dc.subjectCross-Sectional Studies
dc.subjectFemale
dc.subjectHumans
dc.subjectMagnetic Resonance Imaging
dc.subjectMale
dc.subjectMiddle Aged
dc.subjectOrgan Size
dc.subjectTurkey
dc.subjectantihypertensive agent
dc.subjectglucose
dc.subjecthigh density lipoprotein
dc.subjecttriacylglycerol
dc.subjectaged
dc.subjectArticle
dc.subjectbasal ganglion
dc.subjectbrain region
dc.subjectbrain size
dc.subjectcaudate nucleus
dc.subjectcingulate gyrus
dc.subjectclaustrum
dc.subjectclinical article
dc.subjectcognition
dc.titleStructural Brain Alterations in Metabolic Syndrome: A Comprehensive MRI Volumetric Analysis of Subcortical and Associated Structures
dc.typeArticle
dspace.entity.typePublication
rdl.citation.scopus5
rdl.citation.wos4
rdl.departmentDepartment of Anatomy, Faculty of Medicine, Erzincan Binali Yildirim University, Erzincan, Turkey. | Department Of Radiology, Faculty of Medicine, Erzincan Binali Yildirim University, Erzincan, Turkey. | Department of Family Medicine, Faculty of Medicine, Erzincan Binali Yildirim University, Erzincan, Turkey.
rdl.source.indexSCOPUS
rdl.source.indexWOS
rdl.source.indexPUBMED
rdl.wos.indexScience Citation Index Expanded (SCI-EXPANDED)