Literature DB >> 25257747

Regional cortical thickness and subcortical volume changes in patients with metabolic syndrome.

Sang-Wook Song1, Ju-Hye Chung2, Jun Seung Rho1, Yun-Ah Lee1, Hyun-Kook Lim3, Sung-Goo Kang1, Ha-Na Kim1, Ji Eun Kim1, Se-Hong Kim4.   

Abstract

Although previous studies have demonstrated an association between metabolic syndrome (MS) and changes in the integrity of cerebral white matter, no study has evaluated cortical thickness or subcortical volumes in MS with MRI. The purpose of our study was to investigate changes in cortical thickness and subcortical volume in an asymptomatic MS population. A total of 86 asymptomatic subjects (40 patients with MS and 46 subjects without MS) underwent 3T brain MRI scanning, and cortical thickness was compared between the groups across multiple locations. The subcortical volumes were also compared on a structure-by-structure basis. ANCOVA adjusted for age, education, total intracranial volume (TIV), and gender revealed significant volume reductions in the right nucleus accumbens in the MS group compared with the control group. The MS group showed a significant reduction in mean cortical thickness and volume in both hemispheres compared with controls. A group comparison analysis of the regional cortical thickness between the two groups also revealed significant reductions in cortical thickness in the MS group in the left insular, superior parietal, postcentral, entorhinal, and right superior parietal cortices compared with those of the control group (all comparisons p < 0.05, FDR corrected). We demonstrated a significant reduction in cortical and subcortical areas in MS patients, especially in areas involved in body weight control and cognitive function. Our results suggest an initial neurodegenerative process according to metabolic syndrome even in the preclinical stage, and further prospective studies are required to evaluate this process.

Entities:  

Keywords:  Cortical thickness; MRI; Metabolic syndrome; Subcortical volume

Mesh:

Year:  2015        PMID: 25257747     DOI: 10.1007/s11682-014-9311-2

Source DB:  PubMed          Journal:  Brain Imaging Behav        ISSN: 1931-7557            Impact factor:   3.978


  11 in total

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Journal:  J Pers       Date:  2015-09-04

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Authors:  Erika J Wolf; Danielle R Miller; Mark W Logue; Jennifer Sumner; Tawni B Stoop; Elizabeth C Leritz; Jasmeet P Hayes; Annjanette Stone; Steven A Schichman; Regina E McGlinchey; William P Milberg; Mark W Miller
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6.  Community Socioeconomic Disadvantage in Midlife Relates to Cortical Morphology via Neuroendocrine and Cardiometabolic Pathways.

Authors:  Peter J Gianaros; Dora C-H Kuan; Anna L Marsland; Lei K Sheu; Daniel A Hackman; Karissa G Miller; Stephen B Manuck
Journal:  Cereb Cortex       Date:  2017-01-01       Impact factor: 5.357

7.  A neural signature of metabolic syndrome.

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Journal:  Hum Brain Mapp       Date:  2019-05-07       Impact factor: 5.038

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Journal:  BMC Psychiatry       Date:  2016-12-15       Impact factor: 3.630

9.  Allostatic load as a predictor of grey matter volume and white matter integrity in old age: The Whitehall II MRI study.

Authors:  Enikő Zsoldos; Nicola Filippini; Abda Mahmood; Clare E Mackay; Archana Singh-Manoux; Mika Kivimäki; Mark Jenkinson; Klaus P Ebmeier
Journal:  Sci Rep       Date:  2018-04-23       Impact factor: 4.379

10.  Differential associations of metabolic risk factors on cortical thickness in metabolic syndrome.

Authors:  Nicolette F Schwarz; Leslie K Nordstrom; Linda H G Pagen; Daniela J Palombo; David H Salat; William P Milberg; Regina E McGlinchey; Elizabeth C Leritz
Journal:  Neuroimage Clin       Date:  2017-09-28       Impact factor: 4.881

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