Association between body mass index and subcortical brain volumes in bipolar disorders-ENIGMA study in 2735 individuals
Jazyk angličtina Země Velká Británie, Anglie Médium print-electronic
Typ dokumentu časopisecké články, Research Support, N.I.H., Extramural, práce podpořená grantem
Grantová podpora
P20 GM121312
NIGMS NIH HHS - United States
T32 AG058507
NIA NIH HHS - United States
U54 EB020403
NIBIB NIH HHS - United States
R21 MH113871
NIMH NIH HHS - United States
R01 MH090553
NIMH NIH HHS - United States
PubMed
33863996
PubMed Central
PMC8760047
DOI
10.1038/s41380-021-01098-x
PII: 10.1038/s41380-021-01098-x
Knihovny.cz E-zdroje
- MeSH
- amygdala MeSH
- bipolární porucha * MeSH
- index tělesné hmotnosti MeSH
- lidé MeSH
- magnetická rezonanční tomografie metody MeSH
- mozek MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- Research Support, N.I.H., Extramural MeSH
Individuals with bipolar disorders (BD) frequently suffer from obesity, which is often associated with neurostructural alterations. Yet, the effects of obesity on brain structure in BD are under-researched. We obtained MRI-derived brain subcortical volumes and body mass index (BMI) from 1134 BD and 1601 control individuals from 17 independent research sites within the ENIGMA-BD Working Group. We jointly modeled the effects of BD and BMI on subcortical volumes using mixed-effects modeling and tested for mediation of group differences by obesity using nonparametric bootstrapping. All models controlled for age, sex, hemisphere, total intracranial volume, and data collection site. Relative to controls, individuals with BD had significantly higher BMI, larger lateral ventricular volume, and smaller volumes of amygdala, hippocampus, pallidum, caudate, and thalamus. BMI was positively associated with ventricular and amygdala and negatively with pallidal volumes. When analyzed jointly, both BD and BMI remained associated with volumes of lateral ventricles and amygdala. Adjusting for BMI decreased the BD vs control differences in ventricular volume. Specifically, 18.41% of the association between BD and ventricular volume was mediated by BMI (Z = 2.73, p = 0.006). BMI was associated with similar regional brain volumes as BD, including lateral ventricles, amygdala, and pallidum. Higher BMI may in part account for larger ventricles, one of the most replicated findings in BD. Comorbidity with obesity could explain why neurostructural alterations are more pronounced in some individuals with BD. Future prospective brain imaging studies should investigate whether obesity could be a modifiable risk factor for neuroprogression.
Department of Clinical Neuroscience Karolinska Institutet Stockholm Sweden
Department of Medical Epidemiology and Biostatistics Karolinska Institutet Stockholm Sweden
Department of Neurology Division of Clinical Neuroscience Oslo University Hospital Oslo Norway
Department of Psychiatry and Mental Health University of Cape Town Cape Town South Africa
Department of Psychiatry and Psychotherapy Philipps University Marburg Marburg Germany
Department of Psychiatry and Psychotherapy University of Bonn Bonn Germany
Department of Psychiatry Dalhousie University Halifax NS Canada
Department of Psychiatry Erasmus University Medical Center Rotterdam The Netherlands
Department of Psychiatry University of California San Diego La Jolla CA USA
Department of Psychiatry University of Münster Münster Germany
Desert Pacific MIRECC VA San Diego Healthcare San Diego CA USA
FIDMAG Germanes Hospitalàries Research Foundation Barcelona Spain
Institute of Clinical Medicine Department of Neurology University of Oslo Oslo Norway
Institute of Clinical Medicine University of Oslo Oslo Norway
Institute of Psychiartry King's College Londen London UK
Laureate Institute for Brain Research Tulsa OK USA
National Institute of Mental Health Klecany Czech Republic
Neuroscience Institute University of Cape Town Cape Town South Africa
Neuroscience Research Australia Randwick NSW Australia
Oxley College of Health Sciences The University of Tulsa Tulsa OK USA
Research Group Instituto de Alta Tecnología Médica Ayudas diagnósticas SURA Medellín Colombia
School of Medical Sciences University of New South Wales Sydney NSW Australia
School of Psychiatry University of New South Wales Sydney NSW Australia
UCLA Center for Neurobehavioral Genetics Los Angeles CA USA
University of British Columbia Vancouver BC Canada
Vita Salute San Raffaele University Milan Italy
West Region Institute of Mental Health Singapore Singapore
Yong Loo Lin School of Medicine National University of Singapore Singapore Singapore
Zobrazit více v PubMed
Hajek T, Slaney C, Garnham J, Ruzickova M, Passmore M, Alda M. Clinical correlates of current level of functioning in primary care-treated bipolar patients. Bipolar Disord. 2005;7:286–91. PubMed
Begley CE, Annegers JF, Swann AC, Lewis C, Coan S, Schnapp WB, et al. The lifetime cost of bipolar disorder in the US: an estimate for new cases in 1998. Pharmacoeconomics. 2001;19:483–95. PubMed
Kleinman L, Lowin A, Flood E, Gandhi G, Edgell E, Revicki D. Costs of bipolar disorder. Pharmacoeconomics. 2003;21:601–22. PubMed
Hajek T, Franke K, Kolenic M, Capkova J, Matejka M, Propper L, et al. Brain age in early stages of bipolar disorders or schizophrenia. Schizophr Bull. 2019;45:190–8. PubMed PMC
Nunes A, Schnack HG, Ching CRK, Agartz I, Akudjedu NT, Alda M, et al. Using structural MRI to identify bipolar disorders - 13 site machine learning study in 3020 individuals from the ENIGMA Bipolar Disorders Working Group. Mol Psychiatry. 2020;25:2130–43. PubMed PMC
McDonald C, Zanelli J, Rabe-Hesketh S, Ellison-Wright I, Sham P, Kalidindi S, et al. Meta-analysis of magnetic resonance imaging brain morphometry studies in bipolar disorder. BiolPsychiatry. 2004;56:411–7. PubMed
Kempton MJ, Geddes JR, Ettinger U, Williams SC, Grasby PM. Meta-analysis, database, and meta-regression of 98 structural imaging studies in bipolar disorder. Arch Gen Psychiatry. 2008;65:1017–32. PubMed
Hajek T, Kopecek M, Hoschl C, Alda M. Smaller hippocampal volumes in patients with bipolar disorder are masked by exposure to lithium: a meta-analysis. J Psychiatry Neurosci. 2012;37:110143. PubMed PMC
Hajek T, Kopecek M, Kozeny J, Gunde E, Alda M, Hoschl C. Amygdala volumes in mood disorders - Meta-analysis of magnetic resonance volumetry studies. J Affect Disord. 2009;115:395–410. PubMed
Hajek T, Kozeny J, Kopecek M, Alda M, Hoschl C. Reduced subgenual cingulate volumes in mood disorders: a meta-analysis. J Psychiatry Neurosci. 2008;33:91–9. PubMed PMC
Hajek T, McIntyre R, Alda M. Bipolar disorders, type 2 diabetes mellitus, and the brain. Curr Opin Psychiatry. 2016;29:1–6. PubMed
Vancampfort D, Vansteelandt K, Correll CU, Mitchell AJ, De Herdt A, Sienaert P, et al. Metabolic syndrome and metabolic abnormalities in bipolar disorder: a meta-analysis of prevalence rates and moderators. Am J Psychiatry. 2013;170:265–74. PubMed
Vancampfort D, Stubbs B, Mitchell AJ, De Hert M, Wampers M, Ward PB, et al. Risk of metabolic syndrome and its components in people with schizophrenia and related psychotic disorders, bipolar disorder and major depressive disorder: a systematic review and meta-analysis. World Psychiatry. 2015;14:339–47. PubMed PMC
BWJH Penninx, SMM Lange. Metabolic syndrome in psychiatric patients: overview, mechanisms, and implications. Dialogues Clin Neurosci. 2018;20:63–73. PubMed PMC
Goldstein BI, Baune BT, Bond DJ, Chen P, Eyler L, Fagiolini A, et al. Call to action regarding the vascular‐bipolar link: a report from the vascular task force of the International Society for Bipolar Disorders. Bipolar Disord. 2020:bdi.12921. PubMed PMC
Willette AA, Kapogiannis D. Does the brain shrink as the waist expands? Ageing Res Rev. 2015;20:86–97. PubMed PMC
Tanaka H, Gourley DD, Dekhtyar M, Haley AP. Cognition, brain structure, and brain function in individuals with obesity and related disorders. Curr Obes Rep. 2020;9:544–9. PubMed
Subramaniapillai M, McIntyre RS. A review of the neurobiology of obesity and the available pharmacotherapies. CNS Spectr. 2017;22:29–38. PubMed
Dekkers IA, Jansen PR, Lamb HJ. Obesity, brain volume, and white matter microstructure at MRI: a cross-sectional UK Biobank Study. Radiology. 2019;291:763–71. PubMed
Janowitz D, Wittfeld K, Terock J, Freyberger HJ, Hegenscheid K, Volzke H, et al. Association between waist circumference and gray matter volume in 2344 individuals from two adult community-based samples. Neuroimage. 2015;122:149–57. PubMed
Garcia-Garcia I, Michaud A, Dadar M, Zeighami Y, Neseliler S, Collins DL, et al. Neuroanatomical differences in obesity: meta-analytic findings and their validation in an independent dataset. Int J Obes. 2019;43:943–51. PubMed
Phillips ML, Swartz HA. A critical appraisal of neuroimaging studies of bipolar disorder: toward a new conceptualization of underlying neural circuitry and a road map for future research. Am J Psychiatry. 2014;171:829–43. PubMed PMC
Hibar DP, Westlye LT, van Erp TG, Rasmussen J, Leonardo CD, Faskowitz J, et al. Subcortical volumetric abnormalities in bipolar disorder. Mol Psychiatry. 2016;21:1710–6. PubMed PMC
Opel N, Thalamuthu A, Milaneschi Y, Grotegerd D, Flint C, Leenings R, et al. 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. Mol Psychiatry. 2020. 10.1038/s41380-020-0774-9. PubMed PMC
Wigmore EM, Clarke T-K, Howard DM, Adams MJ, Hall LS, Zeng Y, et al. Do regional brain volumes and major depressive disorder share genetic architecture? A study of Generation Scotland (n=19 762), UK Biobank (n=24 048) and the English Longitudinal Study of Ageing (n=5766) Transl Psychiatry. 2017;7:e1205–e1205. PubMed PMC
Reus LM, Shen X, Gibson J, Wigmore E, Ligthart L, Adams MJ, et al. Association of polygenic risk for major psychiatric illness with subcortical volumes and white matter integrity in UK Biobank. Sci Rep. 2017;7:42140. PubMed PMC
Hajek T, Calkin C, Blagdon R, Slaney C, Uher R, Alda M. Insulin resistance, diabetes mellitus, and brain structure in bipolar disorders. Neuropsychopharmacology. 2014;39:2910–8. PubMed PMC
Bond DJ, Lang DJ, Noronha MM, Kunz M, Torres IJ, Su W, et al. The association of elevated body mass index with reduced brain volumes in first-episode mania. Biol Psychiatry. 2011;70:381–7. PubMed
Bond DJ, Ha TH, Lang DJ, Su W, Torres IJ, Honer WG, et al. Body mass index-related regional gray and white matter volume reductions in first-episode mania patients. Biol Psychiatry. 2014;76:138–45. PubMed
Bond DJ, Su W, Honer WG, Dhanoa T, Batres YC, Lee SS, et al. Weight gain as a predictor of frontal and temporal lobe volume loss in bipolar disorder: a prospective MRI study. Bipolar Disord. 2019;21:50–60. PubMed
Islam AH, Metcalfe AWS, MacIntosh BJ, Korczak DJ, Goldstein BI. Greater body mass index is associated with reduced frontal cortical volumes among adolescents with bipolar disorder. JPN. 2018;43:120–30. PubMed PMC
Mansur RB, McIntyre RS, Cao B, Lee Y, Japiassú L, Chen K, et al. Obesity and frontal-striatal brain structures in offspring of individuals with bipolar disorder: results from the global mood and brain science initiative. Bipolar Disord. 2018;20:42–8. PubMed
Mitchell AJ, Vancampfort D, Sweers K, van Winkel R, Yu W, De Hert M. Prevalence of metabolic syndrome and metabolic abnormalities in schizophrenia and related disorders-a systematic review and meta-analysis. Schizoph Bull. 2013;39:306–18. PubMed PMC
Tek C, Kucukgoncu S, Guloksuz S, Woods SW, Srihari VH, Annamalai A. Antipsychotic-induced weight gain in first-episode psychosis patients: a meta-analysis of differential effects of antipsychotic medications. Early Interv Psychiatry. 2016;10:193–202. PubMed PMC
Hibar DP, Westlye LT, Doan NT, Jahanshad N, Cheung JW, Ching CRK, et al. Cortical abnormalities in bipolar disorder: an MRI analysis of 6503 individuals from the ENIGMA Bipolar Disorder Working Group. Mol Psychiatry. 2018;23:932–42. PubMed PMC
Ching CRK, Hibar DP, Gurholt TP, Nunes A, Thomopoulos SI, Abé C, et al. What we learn about bipolar disorder from large-scale neuroimaging: findings and future directions from the ENIGMA Bipolar Disorder Working Group. Hum Brain Mapp. 2020. 10.1002/hbm.25098. PubMed PMC
Thompson PM, Jahanshad N, Ching CRK, Salminen LE, Thomopoulos SI, Bright J, et al. ENIGMA and global neuroscience: a decade of large-scale studies of the brain in health and disease across more than 40 countries. Transl Psychiatry. 2020;10:100. PubMed PMC
for the PROSPER Study Group. Widya RL, de Roos A, Trompet S, de Craen AJ, Westendorp RG, et al. Increased amygdalar and hippocampal volumes in elderly obese individuals with or at risk of cardiovascular disease. Am J Clin Nutr. 2011;93:1190–5. PubMed
Cox SR, Lyall DM, Ritchie SJ, Bastin ME, Harris MA, Buchanan CR, et al. Associations between vascular risk factors and brain MRI indices in UK Biobank. Eur Heart J. 2019;40:2290–300. PubMed PMC
Suzuki H, Venkataraman AV, Bai W, Guitton F, Guo Y, Dehghan A, et al. Associations of regional brain structural differences with aging, modifiable risk factors for dementia, and cognitive performance. JAMA Netw Open. 2019;2:e1917257. PubMed PMC
Taki Y, Kinomura S, Sato K, Inoue K, Goto R, Okada K, et al. Relationship between body mass index and gray matter volume in 1,428 healthy individuals. Obesity. 2008;16:119–24. PubMed
Isaac V, Sim S, Zheng H, Zagorodnov V, Tai ES, Chee M, et al. Adverse associations between visceral adiposity, brain structure, and cognitive performance in healthy elderly. Front Aging Neurosci. 2011;3:12. PubMed PMC
Hajek T, Kopecek M, Hoschl C, Alda M. Reduced hippocampal volumes in bipolar disorders are masked by exposure to lithium - meta-analysis. J Psychiatry Neurosci. 2012;37:333–43. PubMed PMC
Hallahan B, Newell J, Soares JC, Brambilla P, Strakowski SM, Fleck DE, et al. Structural magnetic resonance imaging in bipolar disorder: an international collaborative mega-analysis of individual adult patient data. Biol Psychiatry. 2011;69:326–35. PubMed
Hajek T, Weiner MW. Neuroprotective effects of lithium in human brain? Food for thought. Curr Alzheimer Res. 2016;13:862–72. PubMed
Andreasen NC, Liu D, Ziebell S, Vora A, Ho BC. Relapse duration, treatment intensity, and brain tissue loss in schizophrenia: a prospective longitudinal MRI study. Am J Psychiatry. 2013;170:609–15. PubMed PMC
Fusar-Poli P, Smieskova R, Kempton MJ, Ho BC, Andreasen NC, Borgwardt S. Progressive brain changes in schizophrenia related to antipsychotic treatment? A meta-analysis of longitudinal MRI studies. Neurosci Biobehav Rev. 2013;37:1680–91. PubMed PMC
Tariot PN, Schneider LS, Cummings J, Thomas RG, Raman R, Jakimovich LJ, et al. Chronic divalproex sodium to attenuate agitation and clinical progression of Alzheimer disease. Arch Gen Psychiatry. 2011;68:853–61. PubMed PMC
Nakagawa S, Cuthill IC. Effect size, confidence interval and statistical significance: a practical guide for biologists. Biol Rev. 2007;82:591–605. PubMed
Hayes AF. Beyond Baron and Kenny: statistical mediation analysis in the new millennium. Commun Monogr. 2009;76:408–20.
Cole JH, Boyle CP, Simmons A, Cohen-Woods S, Rivera M, McGuffin P, et al. Body mass index, but not FTO genotype or major depressive disorder, influences brain structure. Neuroscience. 2013;252:109–17. PubMed
Van Gestel H, Franke K, Petite J, Slaney C, Garnham J, Helmick C, et al. Brain age in bipolar disorders: effects of lithium treatment. Aust N Z J Psychiatry. 2019:4867419857814. PubMed
Fleisher AS, Truran D, Mai JT, Langbaum JB, Aisen PS, Cummings JL, et al. Chronic divalproex sodium use and brain atrophy in Alzheimer disease. Neurology. 2011;77:1263–71. PubMed PMC
Joober R, Schmitz N, Malla A, Sengupta S, Karma S. Is olanzapine a brain-sparing medication? Arch Gen Psychiatry. 2006;63:1292. PubMed
Jorgensen KN, Nesvag R, Nerland S, Morch-Johnsen L, Westlye LT, Lange EH, et al. Brain volume change in first-episode psychosis: an effect of antipsychotic medication independent of BMI change. Acta Psychiatr Scand. 2017;135:117–26. PubMed
Volpato AM, Zugno AI, Quevedo J. Recent evidence and potential mechanisms underlying weight gain and insulin resistance due to atypical antipsychotics. Rev Bras Psiquiatr. 2013;35:295–304. PubMed
Hamer M, Batty GD. Association of body mass index and waist-to-hip ratio with brain structure: UK Biobank study. Neurology. 2019;92:e594–e600. PubMed PMC
Parimisetty A, Dorsemans A-C, Awada R, Ravanan P, Diotel N, Lefebvre d’Hellencourt C. Secret talk between adipose tissue and central nervous system via secreted factors—an emerging frontier in the neurodegenerative research. J Neuroinflammation. 2016;13:67. PubMed PMC
Wisse BE. The inflammatory syndrome: the role of adipose tissue cytokines in metabolic disorders linked to obesity. J Am Soc Nephrol. 2004;15:2792–800. PubMed
Kolenič M, Španiel F, Hlinka J, Matějka M, Knytl P, Šebela A, et al. Higher body-mass index and lower gray matter volumes in first episode of psychosis. Front Psychiatry. 2020;11:556759. PubMed PMC
Firth J, Stubbs B, Vancampfort D, Schuch F, Lagopoulos J, Rosenbaum S, et al. Effect of aerobic exercise on hippocampal volume in humans: a systematic review and meta-analysis. NeuroImage. 2018;166:230–8. PubMed
Esteban-Cornejo I, Cadenas-Sanchez C, Contreras-Rodriguez O, Verdejo-Roman J, Mora-Gonzalez J, Migueles JH, et al. A whole brain volumetric approach in overweight/obese children: examining the association with different physical fitness components and academic performance. The ActiveBrains project. NeuroImage. 2017;159:346–54. PubMed
Chaddock L, Erickson KI, Prakash RS, VanPatter M, Voss MW, Pontifex MB, et al. Basal ganglia volume is associated with aerobic fitness in preadolescent children. Dev Neurosci. 2010;32:249–56. PubMed PMC
Zavala-Crichton JP, Esteban-Cornejo I, Solis-Urra P, Mora-Gonzalez J, Cadenas-Sanchez C, Rodriguez-Ayllon M, et al. Association of sedentary behavior with brain structure and intelligence in children with overweight or obesity: the ActiveBrains project. J Clin Med. 2020;9:1101. PubMed PMC
Opel N, Redlich R, Kaehler C, Grotegerd D, Dohm K, Heindel W, et al. Prefrontal gray matter volume mediates genetic risks for obesity. Mol Psychiatry. 2017;22:703–10. PubMed
Meyer MD, Risbrough VB, Liang J, Boutelle KN. Pavlovian conditioning to hedonic food cues in overweight and lean individuals. Appetite. 2015;87:56–61. PubMed
Li G, Hu Y, Zhang W, Ding Y, Wang Y, Wang J, et al. Resting activity of the hippocampus and amygdala in obese individuals predicts their response to food cues. Addict Biol. 2020. 10.1111/adb.12974. PubMed
Stoeckel LE, Weller RE, Cook EW, Twieg DB, Knowlton RC, Cox JE. Widespread reward-system activation in obese women in response to pictures of high-calorie foods. Neuroimage. 2008;41:636–47. PubMed
Killgore WDS, Weber M, Schwab ZJ, Kipman M, DelDonno SR, Webb CA, et al. Cortico-limbic responsiveness to high-calorie food images predicts weight status among women. Int J Obes. 2013;37:1435–42. PubMed
Löscher W, Brandt C, Ebert U. Excessive weight gain in rats over extended kindling of the basolateral amygdala. Neuroreport. 2003;14:1829–32. PubMed
Malkova L, Mishkin M, Suomi SJ, Bachevalier J. Long-term effects of neonatal medial temporal ablations on socioemotional behavior in monkeys (Macaca mulatta) Behav Neurosci. 2010;124:742–60. PubMed PMC
Debette S, Wolf C, Lambert JC, Crivello F, Soumare A, Zhu YC, et al. Abdominal obesity and lower gray matter volume: a Mendelian randomization study. Neurobiol Aging. 2014;35:378–86. PubMed
Debette S, Seshadri S, Beiser A, Au R, Himali JJ, Palumbo C, et al. Midlife vascular risk factor exposure accelerates structural brain aging and cognitive decline. Neurology. 2011;77:461–8. PubMed PMC
Bobb JF, Schwartz BS, Davatzikos C, Caffo B. Cross-sectional and longitudinal association of body mass index and brain volume. Hum Brain Mapp. 2014;35:75–88. PubMed PMC
Berk M, Kapczinski F, Andreazza AC, Dean OM, Giorlando F, Maes M, et al. Pathways underlying neuroprogression in bipolar disorder: focus on inflammation, oxidative stress and neurotrophic factors. Neurosci Biobehav Rev. 2011;35:804–17. PubMed
Tuulari JJ, Karlsson HK, Antikainen O, Hirvonen J, Pham T, Salminen P, et al. Bariatric surgery induces white and grey matter density recovery in the morbidly obese: a voxel-based morphometric study. Hum Brain Mapp. 2016;37:3745–56. PubMed PMC
Mueller K, Möller HE, Horstmann A, Busse F, Lepsien J, Blüher M, et al. Physical exercise in overweight to obese individuals induces metabolic- and neurotrophic-related structural brain plasticity. Front Hum Neurosci. 2015;9:372. PubMed PMC
Shan H, Li P, Liu H, Nie B, Yin X, Zhang T, et al. Gray matter reduction related to decreased serum creatinine and increased triglyceride, Hemoglobin A1C, and low-density lipoprotein in subjects with obesity. Neuroradiology. 2019;61:703–10. PubMed
Mansur RB, Zugman A, Ahmed J, Cha DS, Subramaniapillai M, Lee Y, et al. Treatment with a GLP-1R agonist over four weeks promotes weight loss-moderated changes in frontal-striatal brain structures in individuals with mood disorders. Eur Neuropsychopharmacol. 2017;27:1153–62. PubMed
Calkin C, van de V, Ruzickova M, Slaney C, Garnham J, Hajek T, et al. Can body mass index help predict outcome in patients with bipolar disorder? Bipolar Disord. 2009;11:650–6. PubMed PMC
Hartberg CB, Sundet K, Rimol LM, Haukvik UK, Lange EH, Nesvag R, et al. Subcortical brain volumes relate to neurocognition in schizophrenia and bipolar disorder and healthy controls. Prog Neuropsychopharmacol Biol Psychiatry. 2011;35:1122–30. PubMed
Akudjedu TN, Tronchin G, McInerney S, Scanlon C, Kenney JPM, McFarland J, et al. Progression of neuroanatomical abnormalities after first-episode of psychosis: a 3-year longitudinal sMRI study. J Psychiatr Res. 2020;130:137–51. PubMed
Goodkind M, Eickhoff SB, Oathes DJ, Jiang Y, Chang A, Jones-Hagata LB, et al. Identification of a Common Neurobiological Substrate for Mental Illness. JAMA Psychiatry. 2015;72:305. PubMed PMC
Opel N, Goltermann J, Hermesdorf M, Berger K, Baune BT, Dannlowski U. Cross-disorder analysis of brain structural abnormalities in six major psychiatric disorders—a secondary analysis of mega- and meta-analytical findings from the ENIGMA Consortium. Biol. Psychiatry. 2020:S0006322320315857. PubMed
van Erp TGM, Hibar DP, Rasmussen JM, Glahn DC, Pearlson GD, Andreassen OA, et al. Subcortical brain volume abnormalities in 2028 individuals with schizophrenia and 2540 healthy controls via the ENIGMA consortium. Mol Psychiatry. 2016;21:547–53. PubMed PMC
Kurth F, Levitt JG, Phillips OR, Luders E, Woods RP, Mazziotta JC, et al. Relationships between gray matter, body mass index, and waist circumference in healthy adults. Hum Brain Mapp. 2013;34:1737–46. PubMed PMC
Mon A, Abe C, Durazzo TC, Meyerhoff DJ. Fat may affect magnetic resonance signal intensity and brain tissue volumes. Obes Res Clin Pract. 2016;10:211–5. PubMed PMC
Obesity and brain structure in schizophrenia - ENIGMA study in 3021 individuals