Brain structural abnormalities in obesity: relation to age, genetic risk, and common psychiatric disorders: Evidence through univariate and multivariate mega-analysis including 6420 participants from the ENIGMA MDD working group
- Resource Type
- Authors
- Meng Li; Thomas Frodl; Lyubomir I. Aftanas; Ben J. Harrison; Frank P. MacMaster; Jair C. Soares; Axel Krug; Benson Mwangi; Christopher G. Davey; Sean N. Hatton; Nynke A. Groenewold; Giovana Zunta-Soares; Angela Carballedo; Bonnie Klimes-Dougan; Katharina Wittfeld; Ilya M. Veer; Philipp G. Sämann; Nils Opel; Ramona Leenings; Yuri Milaneschi; Ian B. Hickie; Dominik Grotegerd; Kathryn R. Cullen; Heather C. Whalley; Henry Völzke; Bernhard T. Baune; Maike Richter; Lianne Schmaal; Andrew M. McIntosh; Jim Lagopoulos; Dan J. Stein; Brenda W.J.H. Penninx; Mon-Ju Wu; Ivan V. Brak; Anouk Schrantee; André Aleman; Georg Woditsch; Janik Goltermann; Elena Pozzi; Kang Sim; Norbert Hosten; Liesbeth Reneman; Hans J. Grabe; Bryon A. Mueller; Klaus Berger; Udo Dannlowski; Martin Walter; Anbupalam Thalamuthu; Tim Hahn; Paul M. Thompson; Igor Nenadic; Laura Nawijn; Evgeniy A. Osipov; Claas Flint; Dick J. Veltman; Tilo Kircher; Henrik Walter; Mathew A. Harris; Marco Hermesdorf; Elena Filimonova; Sandra Van der Auwera; Matthew D. Sacchet; Neda Jahanshad; Ian H. Gotlib
- Source
- Molecular psychiatry 26(9), 4839-4852 (2021). doi:10.1038/s41380-020-0774-9
Molecular Psychiatry, 26, 4839-4852. Nature Publishing Group
Molecular Psychiatry, 26(9), 4839-4852. Nature Publishing Group
Molecular psychiatry, 26(9), 4839-4852. Nature Publishing Group
2020, ' Brain structural abnormalities in obesity: relation to age, genetic risk, and common psychiatric disorders : Evidence through univariate and multivariate mega-analysis including 6420 participants from the ENIGMA MDD working group ', Molecular Psychiatry, vol. N/A, pp. 1-14 . https://doi.org/10.1038/s41380-020-0774-9
Opel, N, Thalamuthu, A, Milaneschi, Y, Grotegerd, D, Flint, C, Leenings, R, Goltermann, J, Richter, M, Hahn, T, Woditsch, G, Berger, K, Hermesdorf, M, McIntosh, A, Whalley, H C, Harris, M A, MacMaster, F P, Walter, H, Veer, I M, Frodl, T, Carballedo, A, Krug, A, Nenadic, I, Kircher, T, Aleman, A, Groenewold, N A, Stein, D J, Soares, J C, Zunta-Soares, G B, Mwangi, B, Wu, M J, Walter, M, Li, M, Harrison, B J, Davey, C G, Cullen, K R, Klimes-Dougan, B, Mueller, B A, Sämann, P G, Penninx, B, Nawijn, L, Veltman, D J, Aftanas, L, Brak, I V, Filimonova, E A, Osipov, E A, Reneman, L, Schrantee, A, Grabe, H J, Van der Auwera, S, Wittfeld, K, Hosten, N, Völzke, H, Sim, K, Gotlib, I H, Sacchet, M D, Lagopoulos, J, Hatton, S N, Hickie, I, Pozzi, E, Thompson, P M, Jahanshad, N, Schmaal, L, Baune, B T & Dannlowski, U 2021, ' Brain structural abnormalities in obesity : relation to age, genetic risk, and common psychiatric disorders: Evidence through univariate and multivariate mega-analysis including 6420 participants from the ENIGMA MDD working group ', Molecular Psychiatry, vol. 26, no. 9, pp. 4839-4852 . https://doi.org/10.1038/s41380-020-0774-9
- Subject
- 0301 basic medicine
Oncology
medicine.medical_specialty
Multivariate statistics
Overweight
03 medical and health sciences
Cellular and Molecular Neuroscience
genetics [Obesity]
0302 clinical medicine
Risk Factors
Internal medicine
medicine
Humans
Obesity
ddc:610
diagnostic imaging [Brain]
Molecular Biology
Stroke
Pathological
Depression (differential diagnoses)
Aged
Cerebral Cortex
Depressive Disorder, Major
business.industry
Brain
genetics [Depressive Disorder, Major]
medicine.disease
Magnetic Resonance Imaging
Psychiatry and Mental health
030104 developmental biology
Major depressive disorder
medicine.symptom
business
Body mass index
030217 neurology & neurosurgery
- Language
- English
- ISSN
- 1359-4184
Emerging evidence suggests that obesity impacts brain physiology at multiple levels. Here we aimed to clarify the relationship between obesity and brain structure using structural MRI (n = 6420) and genetic data (n = 3907) from the ENIGMA Major Depressive Disorder (MDD) working group. Obesity (BMI > 30) was significantly associated with cortical and subcortical abnormalities in both mass-univariate and multivariate pattern recognition analyses independent of MDD diagnosis. The most pronounced effects were found for associations between obesity and lower temporo-frontal cortical thickness (maximum Cohen´s d (left fusiform gyrus) = −0.33). The observed regional distribution and effect size of cortical thickness reductions in obesity revealed considerable similarities with corresponding patterns of lower cortical thickness in previously published studies of neuropsychiatric disorders. A higher polygenic risk score for obesity significantly correlated with lower occipital surface area. In addition, a significant age-by-obesity interaction on cortical thickness emerged driven by lower thickness in older participants. Our findings suggest a neurobiological interaction between obesity and brain structure under physiological and pathological brain conditions.