BMI-related cortical morphometry changes are associated with altered white matter structure.


Journal

International journal of obesity (2005)
ISSN: 1476-5497
Titre abrégé: Int J Obes (Lond)
Pays: England
ID NLM: 101256108

Informations de publication

Date de publication:
03 2019
Historique:
received: 09 11 2017
accepted: 14 10 2018
revised: 07 10 2018
pubmed: 21 12 2018
medline: 14 2 2020
entrez: 21 12 2018
Statut: ppublish

Résumé

While gross measures of brain structure have shown alterations with increasing body mass index (BMI), the extent and nature of such changes has varied substantially across studies. Here, we sought to determine whether small-scale morphometric measures might prove more sensitive and reliable than larger scale measures and whether they might offer a valuable opportunity to link cortical changes to underlying white matter changes. To examine this, we explored the association of BMI with millimetre-scale Gaussian curvature, in addition to standard measures of morphometry such as cortical thickness, surface area and mean curvature. We also assessed the volume and integrity of the white matter, using white matter signal intensity and fractional anisotropy (FA). We hypothesised that BMI would be linked to small-scale changes in Gaussian curvature and that this phenomenon would be mediated by changes in the integrity of the underlying white matter. The association of global measures of T1-weighted cortical morphometry with BMI was examined using linear regression and mediation analyses in two independent groups of healthy young to middle aged human subjects (n Gaussian curvature of the white matter surface showed a significant, positive association with BMI across all three independent datasets. This effect was mediated by a negative association between the integrity of the white matter and BMI. Increasing BMI is associated with changes in white matter microstructure in young to middle-aged healthy adults. Our results are consistent with a model whereby BMI-linked cortical changes are mediated by the effects of BMI on white matter microstructure.

Sections du résumé

BACKGROUND
While gross measures of brain structure have shown alterations with increasing body mass index (BMI), the extent and nature of such changes has varied substantially across studies. Here, we sought to determine whether small-scale morphometric measures might prove more sensitive and reliable than larger scale measures and whether they might offer a valuable opportunity to link cortical changes to underlying white matter changes. To examine this, we explored the association of BMI with millimetre-scale Gaussian curvature, in addition to standard measures of morphometry such as cortical thickness, surface area and mean curvature. We also assessed the volume and integrity of the white matter, using white matter signal intensity and fractional anisotropy (FA). We hypothesised that BMI would be linked to small-scale changes in Gaussian curvature and that this phenomenon would be mediated by changes in the integrity of the underlying white matter.
METHODS
The association of global measures of T1-weighted cortical morphometry with BMI was examined using linear regression and mediation analyses in two independent groups of healthy young to middle aged human subjects (n
RESULTS
Gaussian curvature of the white matter surface showed a significant, positive association with BMI across all three independent datasets. This effect was mediated by a negative association between the integrity of the white matter and BMI.
CONCLUSIONS
Increasing BMI is associated with changes in white matter microstructure in young to middle-aged healthy adults. Our results are consistent with a model whereby BMI-linked cortical changes are mediated by the effects of BMI on white matter microstructure.

Identifiants

pubmed: 30568264
doi: 10.1038/s41366-018-0269-9
pii: 10.1038/s41366-018-0269-9
pmc: PMC6462878
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

523-532

Subventions

Organisme : Wellcome Trust
ID : RNAG/259
Pays : United Kingdom
Organisme : Wellcome Trust
ID : RGAG/144
Pays : United Kingdom
Organisme : Medical Research Council
ID : G0701497
Pays : United Kingdom
Organisme : NIBIB NIH HHS
ID : U54 EB020403
Pays : United States
Organisme : NIMH NIH HHS
ID : U01 MH108148
Pays : United States
Organisme : NIH HHS
ID : S10 OD023696
Pays : United States

Références

Circulation. 2002 Sep 3;106(10):1211-8
pubmed: 12208795
Arch Intern Med. 2003 Jul 14;163(13):1524-8
pubmed: 12860573
Schizophr Res. 2004 Apr 1;67(2-3):277-82
pubmed: 14984888
J Am Soc Nephrol. 2004 Nov;15(11):2792-800
pubmed: 15504932
Am J Clin Nutr. 2006 Feb;83(2):470S-474S
pubmed: 16470015
J Clin Endocrinol Metab. 2007 Aug;92(8):3278-84
pubmed: 17536002
Cell Metab. 2008 Jun;7(6):476-84
pubmed: 18522829
Neuroimage. 2008 Oct 15;43(1):103-13
pubmed: 18691657
Neuroimage. 2009 Oct 15;48(1):21-8
pubmed: 19580876
Hum Brain Mapp. 2010 Mar;31(3):353-64
pubmed: 19662657
Hum Brain Mapp. 2010 Jul;31(7):1052-64
pubmed: 19998366
Int J Obes (Lond). 2012 May;36(5):656-64
pubmed: 21894161
Int J Neural Syst. 2011 Oct;21(5):351-66
pubmed: 21956929
Obes Rev. 2011 Sep;12(9):740-55
pubmed: 21991597
Neuroimage. 2012 Oct 1;62(4):2222-31
pubmed: 22366334
Neuroimage. 2012 Oct 15;63(1):611-21
pubmed: 22743195
Cereb Cortex. 2013 Sep;23(9):2058-71
pubmed: 22772650
Cereb Cortex. 2014 Aug;24(8):2219-28
pubmed: 23542881
Neuroimage. 2013 Nov 1;81:455-469
pubmed: 23629049
Neuroimage. 2013 Oct 1;79:129-37
pubmed: 23639257
Neuroimage. 2013 Oct 15;80:105-24
pubmed: 23668970
Proc Natl Acad Sci U S A. 2013 Aug 6;110(32):13222-7
pubmed: 23878213
Diabetes Care. 2014 Feb;37(2):493-500
pubmed: 24089543
Neuroimage. 2014 Apr 15;90:280-9
pubmed: 24384148
Eur Neuropsychopharmacol. 2014 Dec;24(12):1982-99
pubmed: 24704273
Neuroimage Clin. 2014 Mar 03;6:475-87
pubmed: 25610761
Obes Rev. 2015 Apr;16(4):273-81
pubmed: 25676886
Neuroimage Clin. 2016 Jan 06;11:81-89
pubmed: 26909332
Int J Obes (Lond). 2016 Jul;40(7):1177-82
pubmed: 27089992
Neurobiol Aging. 2016 Nov;47:63-70
pubmed: 27562529
Trends Neurosci. 2017 Apr;40(4):237-253
pubmed: 28318543
Metabolism. 2018 Jan;78:52-68
pubmed: 28920863
Biophys J. 1994 Jan;66(1):259-67
pubmed: 8130344
J Theor Biol. 1994 Feb 7;166(3):261-73
pubmed: 8159014

Auteurs

Nenad Medic (N)

Department of Psychiatry, University of Cambridge, Cambridge, CB2 8AH, UK.
Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, CB2 0QQ, UK.

Peter Kochunov (P)

Maryland Psychiatric Research Center, University of Maryland School of Medicine, Baltimore, MD, USA.

Hisham Ziauddeen (H)

Department of Psychiatry, University of Cambridge, Cambridge, CB2 8AH, UK.
Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, CB2 0QQ, UK.
Cambridgeshire & Peterborough NHS Foundation Trust, Cambridge, CB21 5EF, UK.

Karen D Ersche (KD)

Department of Psychiatry, University of Cambridge, Cambridge, CB2 8AH, UK.

Pradeep J Nathan (PJ)

Department of Psychiatry, University of Cambridge, Cambridge, CB2 8AH, UK.
School of Psychological Sciences, Monash University, Melbourne, Australia.
Heptares Therapeutics Ltd, Cambridge, UK.

Lisa Ronan (L)

Department of Psychiatry, University of Cambridge, Cambridge, CB2 8AH, UK.

Paul C Fletcher (PC)

Department of Psychiatry, University of Cambridge, Cambridge, CB2 8AH, UK. pcf22@cam.ac.uk.
Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, CB2 0QQ, UK. pcf22@cam.ac.uk.
Cambridgeshire & Peterborough NHS Foundation Trust, Cambridge, CB21 5EF, UK. pcf22@cam.ac.uk.

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