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LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00006446naa a2200529 4500
001oai:DiVA.org:his-16352
003SwePub
008181112s2018 | |||||||||||000 ||eng|
009oai:gup.ub.gu.se/273084
0247 a https://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-163522 URI
0247 a https://doi.org/10.1371/journal.pone.02053312 DOI
0247 a https://gup.ub.gu.se/publication/2730842 URI
040 a (SwePub)hisd (SwePub)gu
041 a engb eng
042 9 SwePub
072 7a ref2 swepub-contenttype
072 7a art2 swepub-publicationtype
1001 a Perlaki, Gaboru MTA-PTE Clinical Neuroscience MR Research Group, Pecs, Hungary / Department of Neurology, University of Pecs, Medical School, Hungary4 aut
2451 0a Volumetric gray matter measures of amygdala and accumbens in childhood overweight/obesity
264 c 2018-10-18
264 1b Public Library of Science,c 2018
338 a electronic2 rdacarrier
500 a CC BY 4.0
520 a Objectives Neuroimaging data suggest that pediatric overweight and obesity are associated with morphological alterations in gray matter (GM) brain structures, but previous studies using mainly voxel-based morphometry (VBM) showed inconsistent results. Here, we aimed to examine the relationship between youth obesity and the volume of predefined reward system structures using magnetic resonance (MR) volumetry. We also aimed to complement volumetry with VBM-style analysis. Methods Fifty-one Caucasian young subjects (32 females; mean age: 13.8±1.9, range: 10.2–16.5 years) were included. Subjects were selected from a subsample of the I.Family study examined in the Hungarian center. A T1-weighted 1 mm3 isotropic resolution image was acquired. Age- and sex-standardized body mass index (zBMI) was assessed at the day of MRI and ~1.89 years (mean±SD: 689±188 days) before the examination. Obesity related GM alterations were investigated using MR volumetry in five predefined brain structures presumed to play crucial roles in body weight regulation (hippocampus, amygdala, accumbens, caudate, putamen), as well as whole-brain and regional VBM. Results The volumes of accumbens and amygdala showed significant positive correlations with zBMI, while their GM densities were inversely related to zBMI. Voxel-based GM mass also showed significant negative correlation with zBMI when investigated in the predefined amygdala region, but this relationship was mediated by GM density. Conclusions Overweight/obesity related morphometric brain differences already seem to be present in children/adolescents. Our work highlights the disparity between volume and VBM-derived measures and that GM mass (combination of volume and density) is not informative in the context of obesity related volumetric changes. To better characterize the association between childhood obesity and GM morphometry, a combination of volumetric segmentation and VBM methods, as well as future longitudinal studies are necessary. Our results suggest that childhood obesity is associated with enlarged structural volumes, but decreased GM density in the reward system. © 2018 Perlaki et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
650 7a MEDICIN OCH HÄLSOVETENSKAPx Hälsovetenskap0 (SwePub)3032 hsv//swe
650 7a MEDICAL AND HEALTH SCIENCESx Health Sciences0 (SwePub)3032 hsv//eng
653 a Individual and Society VIDSOC
653 a Individ och samhälle VIDSOC
7001 a Molnar, Denesu Department of Pediatrics, University of Pecs, Medical School, Pecs, Hungary4 aut
7001 a Smeets, Paul A. M.u Utrecht University, Netherlands / Wageningen University & Research, Netherlands4 aut
7001 a Ahrens, Wolfgangu Leibniz Institute for Prevention Research and Epidemiology BIPS, Bremen, Germany4 aut
7001 a Wolters, Maikeu Leibniz Institute for Prevention Research and Epidemiology BIPS, Bremen, Germany4 aut
7001 a Eiben, Gabrieleu Gothenburg University,Göteborgs universitet,Högskolan i Skövde,Institutionen för hälsa och lärande,Forskningsspecialiseringen Hälsa och Lärande,Department of Public Health and Community Medicine, University of Gothenburg, Sweden,Individ och samhälle, Individual and Society VIDSOC,Institutionen för medicin, avdelningen för samhällsmedicin och folkhälsa,Institute of Medicine, School of Public Health and Community Medicine4 aut0 (Swepub:gu)xeibga
7001 a Lissner, Lauren,d 1956u Gothenburg University,Göteborgs universitet,Institutionen för medicin, avdelningen för samhällsmedicin och folkhälsa,Institute of Medicine, School of Public Health and Community Medicine4 aut0 (Swepub:gu)xlisla
7001 a Erhard, Peteru University of Bremen, Germany4 aut
7001 a van Meer, Flooru Utrecht University, Netherlands4 aut
7001 a Herrmann, Manfredu University of Bremen, Germany4 aut
7001 a Janszky, Jozsefu MTA-PTE Clinical Neuroscience MR Research Group, Pecs, Hungary / Department of Neurology, University of Pecs, Medical School, Hungary4 aut
7001 a Orsi, Gergelyu MTA-PTE Clinical Neuroscience MR Research Group, Pecs, Hungary / Department of Neurology, University of Pecs, Medical School, Hungary4 aut
7102 a MTA-PTE Clinical Neuroscience MR Research Group, Pecs, Hungary / Department of Neurology, University of Pecs, Medical School, Hungaryb Department of Pediatrics, University of Pecs, Medical School, Pecs, Hungary4 org
7730 t PLOS ONEd : Public Library of Scienceg 13:10q 13:10x 1932-6203
8564 u https://doi.org/10.1371/journal.pone.0205331y Fulltext
8564 u https://his.diva-portal.org/smash/get/diva2:1262622/FULLTEXT01.pdfx primaryx Raw objecty fulltext:print
8564 u https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0205331&type=printable
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-16352
8564 8u https://doi.org/10.1371/journal.pone.0205331
8564 8u https://gup.ub.gu.se/publication/273084

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