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Perlaki-et-al_2018_Volumetric gray matter measures of amygdala and accumbens in childhood overweight_obesity.pdf 806,20KB
WeightNameValue
1000 Titel
  • Volumetric gray matter measures of amygdala and accumbens in childhood overweight/obesity
1000 Autor/in
  1. Perlaki, Gabor |
  2. Molnar, Dénes |
  3. Smeets, Paul |
  4. Ahrens, Wolfgang |
  5. Wolters, Maike |
  6. Eiben, Gabriele |
  7. Lissner, Lauren |
  8. Erhard, Peter |
  9. van Meer, Floor |
  10. Herrmann, Manfred |
  11. Janszky, Jozsef |
  12. Orsi, Gergely |
1000 Mitwirkende/r
  1. The I.Family consortium |
1000 Erscheinungsjahr 2018
1000 LeibnizOpen
1000 Art der Datei
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2018-10-18
1000 Erschienen in
1000 Quellenangabe
  • 13(10): e0205331
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2018
1000 Lizenz
1000 Verlagsversion
  • http://dx.doi.org/10.1371/journal.pone.0205331 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6193643/ |
1000 Ergänzendes Material
  • https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0205331#sec019 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • 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.
1000 Sacherschließung
lokal Nucleus accumbens
lokal Obesity
lokal Childhood obesity
lokal Amygdala
lokal Magnetic resonance imaging
lokal Central nervous system
lokal Voxel-based morphometry
lokal Adolescents
1000 Fachgruppe
  1. Medizin |
  2. Gesundheitswesen |
  3. Ernährungswissenschaften |
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/creator/UGVybGFraSwgR2Fib3I=|https://frl.publisso.de/adhoc/creator/TW9sbmFyLCBEw6luZXM=|http://orcid.org/0000-0002-8695-9612|http://orcid.org/0000-0003-3777-570X|http://orcid.org/0000-0002-4943-2141|https://frl.publisso.de/adhoc/creator/RWliZW4sIEdhYnJpZWxl|https://frl.publisso.de/adhoc/creator/TGlzc25lciwgTGF1cmVu|https://frl.publisso.de/adhoc/creator/RXJoYXJkLCBQZXRlcg==|https://frl.publisso.de/adhoc/creator/dmFuIE1lZXIsIEZsb29y|http://orcid.org/0000-0003-1872-8406|https://frl.publisso.de/adhoc/creator/SmFuc3preSwgSm96c2Vm|http://orcid.org/0000-0002-9388-2967|https://frl.publisso.de/adhoc/creator/VGhlIEkuRmFtaWx5IGNvbnNvcnRpdW0=
1000 Förderer
  1. European Commission
  2. National Research, Development and Innovation Office
  3. Ministry of Human Capacities
  4. Hungarian Academy of Sciences
  5. University of Pécs
1000 Fördernummer
  1. 266044
  2. 2017-1.2.1-NKP-2017-00002
  3. ÚNKP-17-4-I-PTE-76; ÚNKP-17-4-I-PTE-93
  4. -
  5. PTE ÁOK-KA-2017-05; PTE ÁOK-KA-2017-06; EFOP-3.6.2-16-2017-00008
1000 Förderprogramm
  1. Seventh Framework Programme
  2. Hungarian Brain Research Program
  3. New National Excellence Program
  4. János Bolyai Research Scholarship
  5. -
1000 Dateien
  1. Perlaki-et-al_2018_Volumetric gray matter measures of amygdala and accumbens in childhood overweight/obesity
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6411701.rdf
1000 Erstellt am 2018-12-10T15:16:26.932+0100
1000 Erstellt von 266
1000 beschreibt frl:6411701
1000 Bearbeitet von 122
1000 Zuletzt bearbeitet Fri Dec 14 11:28:59 CET 2018
1000 Objekt bearb. Fri Dec 14 11:28:29 CET 2018
1000 Vgl. frl:6411701
1000 Oai Id
  1. oai:frl.publisso.de:frl:6411701 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

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