{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,13]],"date-time":"2026-07-13T15:19:18Z","timestamp":1783955958714,"version":"3.55.0"},"reference-count":38,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2018,4,13]],"date-time":"2018-04-13T00:00:00Z","timestamp":1523577600000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/100004312","name":"Eli Lilly and Company (US)","doi-asserted-by":"crossref","id":[{"id":"10.13039\/100004312","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Bristol-Myers Squibb (US)"},{"name":"Novo Nordisk (DK)"},{"name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico (BR)"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Metab Brain Dis"],"published-print":{"date-parts":[[2018,8]]},"DOI":"10.1007\/s11011-018-0223-5","type":"journal-article","created":{"date-parts":[[2018,4,13]],"date-time":"2018-04-13T17:05:04Z","timestamp":1523639104000},"page":"1211-1222","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":36,"title":["Cortical and subcortical gray matter structural alterations in normoglycemic obese and type 2 diabetes patients: relationship with adiposity, glucose, and insulin"],"prefix":"10.1007","volume":"33","author":[{"given":"Gabriel","family":"Bernardes","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Richard G.","family":"IJzerman","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jennifer S.","family":"ten Kulve","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Frederik","family":"Barkhof","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michaela","family":"Diamant","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dick J.","family":"Veltman","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jesus","family":"Landeira-Fernandez","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liselotte","family":"van Bloemendaal","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Eelco","family":"van Duinkerken","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2018,4,13]]},"reference":[{"key":"223_CR1","doi-asserted-by":"publisher","first-page":"230","DOI":"10.1038\/ijo.2012.13","volume":"37","author":"SJ Brooks","year":"2013","unstructured":"Brooks SJ, Benedict C, Burgos J et al (2013) Late-life obesity is associated with smaller global and regional gray matter volumes: a voxel-based morphometric study. Int J Obes 37:230\u2013236. \nhttps:\/\/doi.org\/10.1038\/ijo.2012.13","journal-title":"Int J Obes"},{"key":"223_CR2","doi-asserted-by":"publisher","first-page":"126","DOI":"10.1016\/j.jns.2010.08.048","volume":"299","author":"M Brundel","year":"2010","unstructured":"Brundel M, van den Heuvel M, de Bresser J et al (2010) Cerebral cortical thickness in patients with type 2 diabetes. J Neurol Sci 299:126\u2013130. \nhttps:\/\/doi.org\/10.1016\/j.jns.2010.08.048","journal-title":"J Neurol Sci"},{"key":"223_CR3","doi-asserted-by":"publisher","first-page":"179","DOI":"10.1006\/nimg.1998.0395","volume":"9","author":"AM Dale","year":"1999","unstructured":"Dale AM, Fischl B, Sereno MI (1999) Cortical surface-based analysis: I. Segmentation and surface reconstruction. NeuroImage 9:179\u2013194. \nhttps:\/\/doi.org\/10.1006\/nimg.1998.0395","journal-title":"NeuroImage"},{"key":"223_CR4","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pcbi.1002582","volume":"8","author":"W Haan de","year":"2012","unstructured":"de Haan W, Mott K, van Straaten ECW et al (2012) Activity dependent degeneration explains hub vulnerability in Alzheimer\u2019s disease. PLoS Comput Biol 8:e1002582. \nhttps:\/\/doi.org\/10.1371\/journal.pcbi.1002582","journal-title":"PLoS Comput Biol"},{"key":"223_CR5","doi-asserted-by":"publisher","first-page":"378","DOI":"10.1016\/j.neurobiolaging.2013.07.022","volume":"35","author":"S Debette","year":"2014","unstructured":"Debette S, Wolf C, Lambert J-C et al (2014) Abdominal obesity and lower gray matter volume: a Mendelian randomization study. Neurobiol Aging 35:378\u2013386. \nhttps:\/\/doi.org\/10.1016\/j.neurobiolaging.2013.07.022","journal-title":"Neurobiol Aging"},{"key":"223_CR6","doi-asserted-by":"publisher","first-page":"11050","DOI":"10.1073\/pnas.200033797","volume":"97","author":"B Fischl","year":"2000","unstructured":"Fischl B, Dale AM (2000) Measuring the thickness of the human cerebral cortex from magnetic resonance images. Proc Natl Acad Sci 97:11050\u201311055. \nhttps:\/\/doi.org\/10.1073\/pnas.200033797","journal-title":"Proc Natl Acad Sci"},{"key":"223_CR7","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1093\/cercor\/bhg087","volume":"14","author":"B Fischl","year":"2004","unstructured":"Fischl B, van der Kouwe A, Destrieux C et al (2004) Automatically parcellating the human cerebral cortex. Cereb Cortex 14:11\u201322","journal-title":"Cereb Cortex"},{"key":"223_CR8","doi-asserted-by":"publisher","first-page":"4637","DOI":"10.1073\/pnas.0308627101","volume":"101","author":"MD Greicius","year":"2004","unstructured":"Greicius MD, Srivastava G, Reiss AL, Menon V (2004) Default-mode network activity distinguishes Alzheimer\u2019s disease from healthy aging: evidence from functional MRI. Proc Natl Acad Sci U S A 101:4637\u20134642. \nhttps:\/\/doi.org\/10.1073\/pnas.0308627101","journal-title":"Proc Natl Acad Sci U S A"},{"key":"223_CR9","doi-asserted-by":"publisher","first-page":"3278","DOI":"10.1210\/jc.2006-2495","volume":"92","author":"LT Haltia","year":"2007","unstructured":"Haltia LT, Viljanen A, Parkkola R et al (2007) Brain white matter expansion in human obesity and the recovering effect of dieting. J Clin Endocrinol Metab 92:3278\u20133284. \nhttps:\/\/doi.org\/10.1210\/jc.2006-2495","journal-title":"J Clin Endocrinol Metab"},{"key":"223_CR10","doi-asserted-by":"publisher","first-page":"825","DOI":"10.1006\/nimg.2002.1132","volume":"17","author":"M Jenkinson","year":"2002","unstructured":"Jenkinson M, Bannister P, Brady M, Smith S (2002) Improved optimization for the robust and accurate linear registration and motion correction of brain images. NeuroImage 17:825\u2013841. \nhttps:\/\/doi.org\/10.1006\/nimg.2002.1132","journal-title":"NeuroImage"},{"key":"223_CR11","doi-asserted-by":"publisher","first-page":"898","DOI":"10.4158\/EP12128.OR","volume":"18","author":"N Karlin","year":"2012","unstructured":"Karlin N, Dueck A, Cook C (2012) Cancer with diabetes: prevalence, metabolic control, and survival in an academic oncology practice. Endocr Pr 18:898\u2013905. \nhttps:\/\/doi.org\/10.4158\/EP12128.OR","journal-title":"Endocr Pr"},{"key":"223_CR12","doi-asserted-by":"publisher","first-page":"671","DOI":"10.1097\/PSY.0000000000000202","volume":"77","author":"S Kaur","year":"2015","unstructured":"Kaur S, Gonzales MM, Strasser B, Pasha E, McNeely J, Tanaka H, Haley AP (2015) Central adiposity and cortical thickness in midlife. Psychosom Med 77:671\u2013678. \nhttps:\/\/doi.org\/10.1097\/PSY.0000000000000202","journal-title":"Psychosom Med"},{"key":"223_CR13","doi-asserted-by":"publisher","unstructured":"Kim SH, Despr\u00e9s J-P, Koh KK (2016) Obesity and cardiovascular disease: friend or foe? Eur Heart J, 37:3560\u20133568. \nhttps:\/\/doi.org\/10.1093\/eurheartj\/ehv509","DOI":"10.1093\/eurheartj\/ehv509"},{"key":"223_CR14","doi-asserted-by":"publisher","unstructured":"Kivim\u00e4ki M, Luukkonen R, Batty GD et al (2017) Body mass index and risk of dementia: analysis of individual-level data from 1.3 million individuals. Alzheimers Dement:1\u20139. \nhttps:\/\/doi.org\/10.1016\/j.jalz.2017.09.016","DOI":"10.1016\/j.jalz.2017.09.016"},{"key":"223_CR15","doi-asserted-by":"publisher","first-page":"1169","DOI":"10.1152\/physrev.00032.2015","volume":"96","author":"S Kullmann","year":"2016","unstructured":"Kullmann S, Heni M, Hallschmid M et al (2016) Brain insulin resistance at the crossroads of metabolic and cognitive disorders in humans. Physiol Rev 96:1169\u20131209. \nhttps:\/\/doi.org\/10.1152\/physrev.00032.2015","journal-title":"Physiol Rev"},{"key":"223_CR16","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1016\/j.pscychresns.2013.06.004","volume":"214","author":"I Marqu\u00e9s-Iturria","year":"2013","unstructured":"Marqu\u00e9s-Iturria I, Pueyo R, Garolera M et al (2013) Frontal cortical thinning and subcortical volume reductions in early adulthood obesity. Psychiatry Res 214:109\u2013115. \nhttps:\/\/doi.org\/10.1016\/j.pscychresns.2013.06.004","journal-title":"Psychiatry Res"},{"key":"223_CR17","doi-asserted-by":"publisher","first-page":"2291","DOI":"10.1016\/S0140-6736(12)60360-2","volume":"379","author":"RJ McCrimmon","year":"2012","unstructured":"McCrimmon RJ, Ryan CM, Frier BM (2012) Diabetes and cognitive dysfunction. Lancet 379:2291\u20132299. \nhttps:\/\/doi.org\/10.1016\/S0140-6736(12)60360-2","journal-title":"Lancet"},{"key":"223_CR18","doi-asserted-by":"publisher","first-page":"1177","DOI":"10.1038\/ijo.2016.42","volume":"40","author":"N Medic","year":"2016","unstructured":"Medic N, Ziauddeen H, Ersche KD et al (2016) Increased body mass index is associated with specific regional alterations in brain structure. Int J Obes 40:1177\u20131182. \nhttps:\/\/doi.org\/10.1038\/ijo.2016.42","journal-title":"Int J Obes"},{"key":"223_CR19","doi-asserted-by":"publisher","first-page":"4036","DOI":"10.2337\/dc13-0143","volume":"36","author":"C Moran","year":"2013","unstructured":"Moran C, Phan TG, Chen J et al (2013) Brain atrophy in type 2 diabetes: regional distribution and influence on cognition. Diabetes Care 36:4036\u20134042. \nhttps:\/\/doi.org\/10.2337\/dc13-0143","journal-title":"Diabetes Care"},{"key":"223_CR20","doi-asserted-by":"publisher","DOI":"10.1155\/2016\/6328953","volume":"2016","author":"C Moran","year":"2016","unstructured":"Moran C, Tapp RJ, Hughes AD et al (2016) The Association of Type 2 diabetes mellitus with cerebral gray matter volume is independent of retinal vascular architecture and retinopathy. J Diabetes Res 2016:6328953. \nhttps:\/\/doi.org\/10.1155\/2016\/6328953","journal-title":"J Diabetes Res"},{"key":"223_CR21","doi-asserted-by":"publisher","first-page":"651","DOI":"10.1007\/s11682-014-9348-2","volume":"9","author":"CD Moulton","year":"2015","unstructured":"Moulton CD, Costafreda SG, Horton P et al (2015) Meta-analyses of structural regional cerebral effects in type 1 and type 2 diabetes. Brain Imaging Behav 9:651\u2013662. \nhttps:\/\/doi.org\/10.1007\/s11682-014-9348-2","journal-title":"Brain Imaging Behav"},{"key":"223_CR22","doi-asserted-by":"publisher","first-page":"653","DOI":"10.1016\/j.neuroimage.2004.12.005","volume":"25","author":"T Nichols","year":"2005","unstructured":"Nichols T, Brett M, Andersson J et al (2005) Valid conjunction inference with the minimum statistic. NeuroImage 25:653\u2013660. \nhttps:\/\/doi.org\/10.1016\/j.neuroimage.2004.12.005","journal-title":"NeuroImage"},{"key":"223_CR23","doi-asserted-by":"publisher","first-page":"907","DOI":"10.1016\/j.neuroimage.2011.02.046","volume":"56","author":"B Patenaude","year":"2011","unstructured":"Patenaude B, Smith SM, Kennedy DN, Jenkinson M (2011) A Bayesian model of shape and appearance for subcortical brain segmentation. NeuroImage 56:907\u2013922. \nhttps:\/\/doi.org\/10.1016\/j.neuroimage.2011.02.046","journal-title":"NeuroImage"},{"key":"223_CR24","doi-asserted-by":"publisher","first-page":"100","DOI":"10.1016\/j.neulet.2015.08.030","volume":"606","author":"B Peng","year":"2015","unstructured":"Peng B, Chen Z, Ma L, Dai Y (2015) Cerebral alterations of type 2 diabetes mellitus on MRI: a pilot study. Neurosci Lett 606:100\u2013105. \nhttps:\/\/doi.org\/10.1016\/j.neulet.2015.08.030","journal-title":"Neurosci Lett"},{"key":"223_CR25","doi-asserted-by":"publisher","first-page":"507","DOI":"10.1002\/dmrr.1112","volume":"26","author":"YD Reijmer","year":"2010","unstructured":"Reijmer YD, van den Berg E, Ruis C et al (2010) Cognitive dysfunction in patients with type 2 diabetes. Diabetes Metab Res Rev 26:507\u2013519. \nhttps:\/\/doi.org\/10.1002\/dmrr.1112","journal-title":"Diabetes Metab Res Rev"},{"key":"223_CR26","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1016\/j.neurobiolaging.2016.07.010","volume":"47","author":"L Ronan","year":"2016","unstructured":"Ronan L, Alexander-Bloch AF, Wagstyl K et al (2016) Obesity associated with increased brain age from midlife. Neurobiol Aging 47:63\u201370. \nhttps:\/\/doi.org\/10.1016\/j.neurobiolaging.2016.07.010","journal-title":"Neurobiol Aging"},{"key":"223_CR27","doi-asserted-by":"publisher","first-page":"563","DOI":"10.1037\/a0040455","volume":"71","author":"CM Ryan","year":"2016","unstructured":"Ryan CM, van Duinkerken E, Rosano C (2016) Neurocognitive consequences of diabetes. Am Psychol 71:563\u2013576. \nhttps:\/\/doi.org\/10.1037\/a0040455","journal-title":"Am Psychol"},{"key":"223_CR28","doi-asserted-by":"publisher","unstructured":"Saute RL, Soder RB, Alves Filho JO et al (2016) Increased brain cortical thickness associated with visceral fat in adolescents. Pediatr Obes. \nhttps:\/\/doi.org\/10.1111\/ijpo.12190","DOI":"10.1111\/ijpo.12190"},{"key":"223_CR29","doi-asserted-by":"publisher","first-page":"S208","DOI":"10.1016\/j.neuroimage.2004.07.051","volume":"23","author":"SM Smith","year":"2004","unstructured":"Smith SM, Jenkinson M, Woolrich MW et al (2004) Advances in functional and structural MR image analysis and implementation as FSL. NeuroImage 23:S208\u2013S219. \nhttps:\/\/doi.org\/10.1016\/j.neuroimage.2004.07.051","journal-title":"NeuroImage"},{"key":"223_CR30","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1530\/JOE-15-0461","volume":"229","author":"JS Kulve ten","year":"2016","unstructured":"ten Kulve JS, Veltman DJ, van Bloemendaal L et al (2016) Endogenous GLP1 and GLP1 analogue alter CNS responses to palatable food consumption. J Endocrinol 229:1\u201312. \nhttps:\/\/doi.org\/10.1530\/JOE-15-0461","journal-title":"J Endocrinol"},{"key":"223_CR31","doi-asserted-by":"publisher","first-page":"4186","DOI":"10.2337\/db14-0849","volume":"63","author":"L Bloemendaal van","year":"2014","unstructured":"van Bloemendaal L, IJzerman RG, Ten Kulve JS et al (2014) GLP-1 receptor activation modulates appetite- and reward-related brain areas in humans. Diabetes 63:4186\u20134196. \nhttps:\/\/doi.org\/10.2337\/db14-0849","journal-title":"Diabetes"},{"key":"223_CR32","doi-asserted-by":"publisher","first-page":"470","DOI":"10.1016\/j.bbadis.2008.09.004","volume":"1792","author":"E Berg van den","year":"2009","unstructured":"van den Berg E, Kloppenborg RP, Kessels RPC et al (2009) Type 2 diabetes mellitus, hypertension, dyslipidemia and obesity: a systematic comparison of their impact on cognition. Biochim Biophys Acta 1792:470\u2013481. \nhttps:\/\/doi.org\/10.1016\/j.bbadis.2008.09.004","journal-title":"Biochim Biophys Acta"},{"key":"223_CR33","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1016\/j.neuroimage.2013.04.075","volume":"79","author":"TD Verstynen","year":"2013","unstructured":"Verstynen TD, Weinstein A, Erickson KI et al (2013) Competing physiological pathways link individual differences in weight and abdominal adiposity to white matter microstructure. NeuroImage 79:129\u2013137. \nhttps:\/\/doi.org\/10.1016\/j.neuroimage.2013.04.075","journal-title":"NeuroImage"},{"key":"223_CR34","doi-asserted-by":"publisher","first-page":"89","DOI":"10.1016\/j.jns.2016.04.017","volume":"365","author":"AMV Wennberg","year":"2016","unstructured":"Wennberg AMV, Spira AP, Pettigrew C et al (2016) Blood glucose levels and cortical thinning in cognitively normal, middle-aged adults. J Neurol Sci 365:89\u201395. \nhttps:\/\/doi.org\/10.1016\/j.jns.2016.04.017","journal-title":"J Neurol Sci"},{"key":"223_CR35","doi-asserted-by":"publisher","unstructured":"Weywadt CR, Kiehl KA, Claus ED (2016) Neural correlates of response inhibition in current and former smokers. Behav Brain Res. \nhttps:\/\/doi.org\/10.1016\/j.bbr.2016.11.030","DOI":"10.1016\/j.bbr.2016.11.030"},{"key":"223_CR36","doi-asserted-by":"publisher","first-page":"1190","DOI":"10.3945\/ajcn.110.006304","volume":"93","author":"RL Widya","year":"2011","unstructured":"Widya RL, de Roos A, Trompet S et al (2011) Increased amygdalar and hippocampal volumes in elderly obese individuals with or at risk of cardiovascular disease. Am J Clin Nutr 93:1190\u20131195. \nhttps:\/\/doi.org\/10.3945\/ajcn.110.006304","journal-title":"Am J Clin Nutr"},{"key":"223_CR37","doi-asserted-by":"publisher","unstructured":"Willette AA, Kapogiannis D (2015) Does the brain shrink as the waist expands? Ageing Res Rev 20:86\u201397. \nhttps:\/\/doi.org\/10.1016\/j.arr.2014.03.007","DOI":"10.1016\/j.arr.2014.03.007"},{"key":"223_CR38","doi-asserted-by":"publisher","first-page":"1558","DOI":"10.1038\/ijo.2016.98","volume":"40","author":"Y Zhang","year":"2016","unstructured":"Zhang Y, Ji G, Xu M et al (2016) Recovery of brain structural abnormalities in morbidly obese patients after bariatric surgery. Int J Obes 40:1558\u20131565. \nhttps:\/\/doi.org\/10.1038\/ijo.2016.98","journal-title":"Int J Obes"}],"container-title":["Metabolic Brain Disease"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11011-018-0223-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11011-018-0223-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11011-018-0223-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2018,7,5]],"date-time":"2018-07-05T05:16:37Z","timestamp":1530767797000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11011-018-0223-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,4,13]]},"references-count":38,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2018,8]]}},"alternative-id":["223"],"URL":"https:\/\/doi.org\/10.1007\/s11011-018-0223-5","relation":{},"ISSN":["0885-7490","1573-7365"],"issn-type":[{"value":"0885-7490","type":"print"},{"value":"1573-7365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,4,13]]}}}