{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T00:43:26Z","timestamp":1760143406405,"version":"build-2065373602"},"reference-count":84,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2024,2,8]],"date-time":"2024-02-08T00:00:00Z","timestamp":1707350400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Key Research and Development Program of China","award":["2022YFC3600600","82101543","81901400","82104981","2022-FX-04","2022-FX-05"],"award-info":[{"award-number":["2022YFC3600600","82101543","81901400","82104981","2022-FX-04","2022-FX-05"]}]},{"name":"National Natural Science Foundation of China","award":["2022YFC3600600","82101543","81901400","82104981","2022-FX-04","2022-FX-05"],"award-info":[{"award-number":["2022YFC3600600","82101543","81901400","82104981","2022-FX-04","2022-FX-05"]}]},{"name":"Feixiang Program of Shanghai Mental Health Center","award":["2022YFC3600600","82101543","81901400","82104981","2022-FX-04","2022-FX-05"],"award-info":[{"award-number":["2022YFC3600600","82101543","81901400","82104981","2022-FX-04","2022-FX-05"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Brain Sciences"],"abstract":"<jats:p>Recent research suggests a possible association between midlife obesity and an increased risk of dementia in later life. However, the underlying mechanisms remain unclear. Little is known about the relationship between body mass index (BMI) and hippocampal subfield atrophy. In this study, we aimed to explore the associations between BMI and hippocampal subfield volumes and cognitive function in non-demented Chinese older adults. Hippocampal volumes were assessed using structural magnetic resonance imaging. Cognitive function was evaluated using the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS). A total of 66 participants were included in the final analysis, with 35 females and 31 males. We observed a significant correlation between BMI and the hippocampal fissure volume in older females. In addition, there was a negative association between BMI and the RBANS total scale score, the coding score, and the story recall score, whereas no significant correlations were observed in older males. In conclusion, our findings revealed sex-specific associations between BMI and hippocampal subfield volumes and cognitive performance, providing valuable insights into the development of effective interventions for the early prevention of cognitive decline.<\/jats:p>","DOI":"10.3390\/brainsci14020170","type":"journal-article","created":{"date-parts":[[2024,2,8]],"date-time":"2024-02-08T03:36:17Z","timestamp":1707363377000},"page":"170","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Sex-Specific Association of Body Mass Index with Hippocampal Subfield Volume and Cognitive Function in Non-Demented Chinese Older Adults"],"prefix":"10.3390","volume":"14","author":[{"given":"Shaohui","family":"Lin","sequence":"first","affiliation":[{"name":"Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China"},{"name":"Department of Geriatrics, Shanghai Ninth People\u2019s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200011, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lijuan","family":"Jiang","sequence":"additional","affiliation":[{"name":"Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1102-1117","authenticated-orcid":false,"given":"Kai","family":"Wei","sequence":"additional","affiliation":[{"name":"Department of Traditional Chinese Medicine, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 201108, China"},{"name":"Shanghai Institute of Traditional Chinese Medicine for Mental Health, Shanghai 201108, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Junjie","family":"Yang","sequence":"additional","affiliation":[{"name":"Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3476-9833","authenticated-orcid":false,"given":"Xinyi","family":"Cao","sequence":"additional","affiliation":[{"name":"Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China"},{"name":"Clinical Neurocognitive Research Center, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chunbo","family":"Li","sequence":"additional","affiliation":[{"name":"Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China"},{"name":"Institute of Psychology and Behavioral Science, Shanghai Jiao Tong University, Shanghai 200030, China"},{"name":"CAS Center for Excellence in Brain Science and Intelligence Technology (CEBSIT), Chinese Academy of Sciences, Shanghai 200030, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2024,2,8]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"e100751","DOI":"10.1136\/gpsych-2022-100751","article-title":"The China Alzheimer Report 2022","volume":"35","author":"Ren","year":"2022","journal-title":"Gen. Psychiatry"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1524","DOI":"10.1001\/archinte.163.13.1524","article-title":"An 18-year follow-up of overweight and risk of Alzheimer disease","volume":"163","author":"Gustafson","year":"2003","journal-title":"Arch. Int. Med."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1016\/j.neurobiolaging.2005.08.019","article-title":"Obesity, diabetes and cognitive deficit: The Framingham Heart Study","volume":"26","author":"Elias","year":"2005","journal-title":"Neurobiol. Aging"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"1556","DOI":"10.1001\/archneur.62.10.1556","article-title":"Obesity and vascular risk factors at midlife and the risk of dementia and Alzheimer disease","volume":"62","author":"Kivipelto","year":"2005","journal-title":"Arch. Neurol."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"1360","DOI":"10.1136\/bmj.38446.466238.E0","article-title":"Obesity in middle age and future risk of dementia: A 27 year longitudinal population based study","volume":"330","author":"Whitmer","year":"2005","journal-title":"BMJ"},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Anderson, T., Sharma, S., Kelberman, M.A., Ware, C., Guo, N., Qin, Z., Weinshenker, D., and Parent, M.B. (2023). Obesity during preclinical Alzheimer\u2019s disease development exacerbates brain metabolic decline. J. Neurochem., advance online publication.","DOI":"10.1111\/jnc.15900"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"1353","DOI":"10.1093\/ije\/dyaa099","article-title":"Higher risk of dementia in English older individuals who are overweight or obese","volume":"49","author":"Ma","year":"2020","journal-title":"Int. J. Epidemiol."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"584","DOI":"10.1001\/jamaneurol.2022.0976","article-title":"Risk Factors Associated With Alzheimer Disease and Related Dementias by Sex and Race and Ethnicity in the US","volume":"79","author":"Nianogo","year":"2022","journal-title":"JAMA Neurol."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"112","DOI":"10.1016\/j.neurobiolaging.2019.10.005","article-title":"Level of body fat relates to memory decline and interacts with age in its association with hippocampal and subcortical atrophy","volume":"91","author":"Nyberg","year":"2020","journal-title":"Neurobiol. Aging"},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Liang, F., Fu, J., Turner-McGrievy, G., Wang, Y., Qiu, N., Ding, K., Zeng, J., Moore, J.B., and Li, R. (2022). Association of Body Mass Index and Plant-Based Diet with Cognitive Impairment among Older Chinese Adults: A Prospective, Nationwide Cohort Study. Nutrients, 14.","DOI":"10.3390\/nu14153132"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"189","DOI":"10.1016\/j.neubiorev.2020.05.012","article-title":"Association of body mass index with risk of cognitive impairment and dementia: A systematic review and meta-analysis of prospective studies","volume":"115","author":"Qu","year":"2020","journal-title":"Neurosci. Biobehav. Rev."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"1466","DOI":"10.1038\/s41380-023-02025-y","article-title":"Brain functional and structural magnetic resonance imaging of obesity and weight loss interventions","volume":"28","author":"Li","year":"2023","journal-title":"Mol. Psychiatry"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"230","DOI":"10.1038\/ijo.2012.13","article-title":"Late-life obesity is associated with smaller global and regional gray matter volumes: A voxel-based morphometric study","volume":"37","author":"Brooks","year":"2013","journal-title":"Int. J. Obes."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"136","DOI":"10.1002\/ana.22062","article-title":"Visceral fat is associated with lower brain volume in healthy middle-aged adults","volume":"68","author":"Debette","year":"2010","journal-title":"Ann. Neurol."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"1582","DOI":"10.1080\/00207450701392282","article-title":"Relationship between body mass index and brain volume in healthy adults","volume":"118","author":"Gunstad","year":"2008","journal-title":"Int. J. Neurosci."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"2530","DOI":"10.1002\/oby.20386","article-title":"Obesity is associated with white matter atrophy: A combined diffusion tensor imaging and voxel-based morphometric study","volume":"21","author":"Karlsson","year":"2013","journal-title":"Obesity"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"1737","DOI":"10.1002\/hbm.22021","article-title":"Relationships between gray matter, body mass index, and waist circumference in healthy adults","volume":"34","author":"Kurth","year":"2013","journal-title":"Hum. Brain Mapp."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"353","DOI":"10.1002\/hbm.20870","article-title":"Brain structure and obesity","volume":"31","author":"Raji","year":"2010","journal-title":"Hum. Brain Mapp."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"1052","DOI":"10.1002\/hbm.20916","article-title":"Structural brain differences and cognitive functioning related to body mass index in older females","volume":"31","author":"Walther","year":"2010","journal-title":"Hum. Brain Mapp."},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Ward, M.A., Carlsson, C.M., Trivedi, M.A., Sager, M.A., and Johnson, S.C. (2005). The effect of body mass index on global brain volume in middle-aged adults: A cross sectional study. BMC Neurol., 5.","DOI":"10.1186\/1471-2377-5-23"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"415","DOI":"10.1016\/j.jad.2020.12.176","article-title":"Body mass index and variability in hippocampal volume in youth with major depressive disorder","volume":"282","author":"Chenji","year":"2021","journal-title":"J. Affect. Disord."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"86","DOI":"10.1016\/j.arr.2014.03.007","article-title":"Does the brain shrink as the waist expands?","volume":"20","author":"Willette","year":"2015","journal-title":"Ageing Res. Rev."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"544","DOI":"10.1007\/s13679-020-00412-y","article-title":"Cognition, Brain Structure, and Brain Function in Individuals with Obesity and Related Disorders","volume":"9","author":"Tanaka","year":"2020","journal-title":"Curr. Obes. Rep."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1017\/S1092852917000839","article-title":"A review of the neurobiology of obesity and the available pharmacotherapies","volume":"22","author":"Subramaniapillai","year":"2017","journal-title":"CNS Spectr."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"270","DOI":"10.1148\/radiol.2019194010","article-title":"Obesity, Brain Volume, and White Matter Microstructure at MRI: A Cross-sectional UK Biobank Study","volume":"292","author":"Dekkers","year":"2019","journal-title":"Radiology"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1016\/j.neuroimage.2015.07.086","article-title":"Association between waist circumference and gray matter volume in 2344 individuals from two adult community-based samples","volume":"122","author":"Janowitz","year":"2015","journal-title":"NeuroImage"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"1057","DOI":"10.1212\/01.wnl.0000306313.89165.ef","article-title":"Central obesity and increased risk of dementia more than three decades later","volume":"71","author":"Whitmer","year":"2008","journal-title":"Neurology"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"2237","DOI":"10.1001\/jama.292.18.2237","article-title":"The metabolic syndrome, inflammation, and risk of cognitive decline","volume":"292","author":"Yaffe","year":"2004","journal-title":"Jama"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"189","DOI":"10.1038\/nrneurol.2012.27","article-title":"Modifiable factors that alter the size of the hippocampus with ageing","volume":"8","author":"Fotuhi","year":"2012","journal-title":"Nat. Rev. Neurol."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"354","DOI":"10.1212\/01.wnl.0000341273.18141.64","article-title":"Factors associated with resistance to dementia despite high Alzheimer disease pathology","volume":"72","author":"Woltjer","year":"2009","journal-title":"Neurology"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"566","DOI":"10.2174\/1567205013666160120151457","article-title":"Hippocampal Subfield Atrophies in Converted and Not-Converted Mild Cognitive Impairments Patients by a Markov Random Fields Algorithm","volume":"13","author":"Vasta","year":"2016","journal-title":"Curr. Alzheimer Res."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"4948","DOI":"10.1007\/s00330-019-06043-9","article-title":"Do multiple system atrophy and Parkinson\u2019s disease show distinct patterns of volumetric alterations across hippocampal subfields? An exploratory study","volume":"29","author":"Wang","year":"2019","journal-title":"Eur. Radiol."},{"key":"ref_33","first-page":"2141","article-title":"Hippocampal sulcus width and cavities: Comparison between patients with Alzheimer disease and nondemented elderly subjects","volume":"27","author":"Oen","year":"2006","journal-title":"AJNR Am. J. Neuroradiol."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"2","DOI":"10.3389\/fnagi.2011.00002","article-title":"Hippocampal subfield volumes: Age, vascular risk, and correlation with associative memory","volume":"3","author":"Shing","year":"2011","journal-title":"Front. Aging Neurosci."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"157","DOI":"10.1016\/j.bbr.2016.09.038","article-title":"Roles of hippocampal subfields in verbal and visual episodic memory","volume":"317","author":"Zammit","year":"2017","journal-title":"Behav. Brain Res."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1016\/j.brainres.2018.12.030","article-title":"Contributions of sex to cerebrovascular function and pathology","volume":"1710","author":"Robison","year":"2019","journal-title":"Brain Res."},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Gannon, O.J., Naik, J.S., Riccio, D., Mansour, F.M., Abi-Ghanem, C., Salinero, A.E., Kelly, R.D., Brooks, H.L., and Zuloaga, K.L. (2023). Menopause causes metabolic and cognitive impairments in a chronic cerebral hypoperfusion model of vascular contributions to cognitive impairment and dementia. Biol. Sex Differ., 14.","DOI":"10.1186\/s13293-023-00518-7"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"451","DOI":"10.1016\/S1474-4422(16)00067-3","article-title":"Sex differences in Alzheimer\u2019s disease and other dementias","volume":"15","author":"Mazure","year":"2016","journal-title":"Lancet Neurol."},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Ystad, M.A., Lundervold, A.J., Wehling, E., Espeseth, T., Rootwelt, H., Westlye, L.T., Andersson, M., Adolfsdottir, S., Geitung, J.T., and Fjell, A.M. (2009). Hippocampal volumes are important predictors for memory function in elderly women. BMC Med. Imaging, 9.","DOI":"10.1186\/1471-2342-9-17"},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"194","DOI":"10.1523\/JNEUROSCI.21-01-00194.2001","article-title":"Age and gender predict volume decline in the anterior and posterior hippocampus in early adulthood","volume":"21","author":"Pruessner","year":"2001","journal-title":"J. Neurosci."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"238","DOI":"10.1002\/hbm.22168","article-title":"Regional specificity of sex effects on subcortical volumes across the lifespan in healthy aging","volume":"35","author":"Li","year":"2014","journal-title":"Hum. Brain Mapp."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"551","DOI":"10.1017\/S1041610205002966","article-title":"Successful aging in Shanghai, China: Definition, distribution and related factors","volume":"18","author":"Li","year":"2006","journal-title":"Int. Psychogeriatr."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"310","DOI":"10.1076\/jcen.20.3.310.823","article-title":"The Repeatable Battery for the Assessment of Neuropsychological Status (RBANS): Preliminary clinical validity","volume":"20","author":"Randolph","year":"1998","journal-title":"J. Clin. Exp. Neuropsychol."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"850","DOI":"10.5114\/aoms.2011.25561","article-title":"Cinical research Reliability and validity of the Repeatable Battery for the Assessment of Neuropsychological Status in community-dwelling elderly","volume":"5","author":"Cheng","year":"2011","journal-title":"Arch. Med. Sci."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"971","DOI":"10.1016\/0895-4356(88)90034-0","article-title":"A Chinese version of the Mini-Mental State Examination; impact of illiteracy in a Shanghai dementia survey","volume":"41","author":"Katzman","year":"1988","journal-title":"J. Clin. Epidemiol."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"341","DOI":"10.1016\/S0896-6273(02)00569-X","article-title":"Whole brain segmentation: Automated labeling of neuroanatomical structures in the human brain","volume":"33","author":"Fischl","year":"2002","journal-title":"Neuron"},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"1060","DOI":"10.1016\/j.neuroimage.2004.03.032","article-title":"A hybrid approach to the skull stripping problem in MRI","volume":"22","author":"Dale","year":"2004","journal-title":"Neuroimage"},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1016\/j.neurobiolaging.2019.03.019","article-title":"Atrophy of hippocampal subfield CA2\/3 in healthy elderly men is related to educational attainment","volume":"80","author":"Jiang","year":"2019","journal-title":"Neurobiol. Aging"},{"key":"ref_49","doi-asserted-by":"crossref","unstructured":"Shi, Z., Cao, X., Hu, J., Jiang, L., Mei, X., Zheng, H., Chen, Y., Wang, M., Cao, J., and Li, W. (2020). Retinal nerve fiber layer thickness is associated with hippocampus and lingual gyrus volumes in nondemented older adults. Prog. Neuropsychopharmacol. Biol. Psychiatry, 99.","DOI":"10.1016\/j.pnpbp.2019.109824"},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"585","DOI":"10.1001\/archpsyc.1996.01830070031007","article-title":"Sex differences in human brain morphometry and metabolism: An in vivo quantitative magnetic resonance imaging and positron emission tomography study on the effect of aging","volume":"53","author":"Murphy","year":"1996","journal-title":"Arch. Gen. Psychiatry"},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"1178","DOI":"10.1001\/jamaneurol.2017.2188","article-title":"Apolipoprotein E Genotype and Sex Risk Factors for Alzheimer Disease: A Meta-analysis","volume":"74","author":"Neu","year":"2017","journal-title":"JAMA Neurol."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"260","DOI":"10.1038\/sj.ijo.802225","article-title":"Lower cognitive function in the presence of obesity and hypertension: The Framingham heart study","volume":"27","author":"Elias","year":"2003","journal-title":"Int. J. Obes. Relat. Metab. Disord."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"329","DOI":"10.1001\/archneurol.2008.570","article-title":"Total and regional adiposity and cognitive change in older adults: The Health, Aging and Body Composition (ABC) study","volume":"66","author":"Kanaya","year":"2009","journal-title":"Arch. Neurol."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"505","DOI":"10.1016\/j.biopsych.2009.02.013","article-title":"Meta-analysis of Alzheimer\u2019s disease risk with obesity, diabetes, and related disorders","volume":"67","author":"Profenno","year":"2010","journal-title":"Biol. Psychiatry"},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"1884","DOI":"10.1001\/jama.290.14.1884","article-title":"Lifetime risk for diabetes mellitus in the United States","volume":"290","author":"Narayan","year":"2003","journal-title":"JAMA"},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"154","DOI":"10.1111\/j.1467-789X.2008.00529.x","article-title":"The Stock Conference 2008 Working Group Sex differences in obesity and the regulation of energy homeostasis","volume":"10","author":"Lovejoy","year":"2009","journal-title":"Obes. Rev."},{"key":"ref_57","unstructured":"Harris, G., and Baer, D. (2007). Obesity: Epidemiology, Pathophysiology, and Prevention, CRC Press."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"200","DOI":"10.1038\/s41386-018-0208-4","article-title":"Sex differences in hippocampal cognition and neurogenesis","volume":"44","author":"Yagi","year":"2019","journal-title":"Neuropsychopharmacology"},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"656","DOI":"10.1002\/hipo.20935","article-title":"Role of estrogen receptor alpha and beta expression and signaling on cognitive function during aging","volume":"22","author":"Foster","year":"2012","journal-title":"Hippocampus"},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"1295","DOI":"10.1002\/cphy.c150031","article-title":"Sex Hormones and Cognition: Neuroendocrine Influences on Memory and Learning","volume":"6","author":"Hamson","year":"2016","journal-title":"Compr. Physiol."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"262","DOI":"10.1037\/a0030829","article-title":"Genetic effects on old-age cognitive functioning: A population-based study","volume":"28","author":"Laukka","year":"2013","journal-title":"Psychol. Aging"},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"563","DOI":"10.1002\/ana.24135","article-title":"Sex modifies the APOE-related risk of developing Alzheimer disease","volume":"75","author":"Altmann","year":"2014","journal-title":"Ann. Neurol."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1016\/j.biopsych.2021.02.968","article-title":"Sex Differences in Alzheimer\u2019s Disease: Insights From the Multiomics Landscape","volume":"91","author":"Guo","year":"2022","journal-title":"Biol. Psychiatry"},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"989","DOI":"10.1001\/jamaneurol.2018.0821","article-title":"Sex-Specific Association of Apolipoprotein E With Cerebrospinal Fluid Levels of Tau","volume":"75","author":"Hohman","year":"2018","journal-title":"JAMA Neurol."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"118957","DOI":"10.1016\/j.neuroimage.2022.118957","article-title":"Vascular mapping of the human hippocampus using Ferumoxytol-enhanced MRI","volume":"250","author":"Buch","year":"2022","journal-title":"NeuroImage"},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"2039","DOI":"10.1016\/j.neurobiolaging.2014.02.021","article-title":"Hippocampal subfield volumes at 7T in early Alzheimer\u2019s disease and normal aging","volume":"35","author":"Wisse","year":"2014","journal-title":"Neurobiol. Aging"},{"key":"ref_67","first-page":"13","article-title":"Trajectories of the Hippocampal Subfields Atrophy in the Alzheimer\u2019s Disease: A Structural Imaging Study","volume":"13","author":"Zhao","year":"2019","journal-title":"Front. Neurosci."},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1016\/j.brainresbull.2017.11.014","article-title":"Increased hippocampal fissure width is a sensitive indicator of rat hippocampal atrophy","volume":"137","author":"Li","year":"2018","journal-title":"Brain Res. Bull."},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1016\/j.neurobiolaging.2017.08.001","article-title":"Differential vulnerability of hippocampal subfields and anteroposterior hippocampal subregions in healthy cognitive aging","volume":"59","author":"Malykhin","year":"2017","journal-title":"Neurobiol. Aging"},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"117","DOI":"10.1016\/j.neuroimage.2015.04.042","article-title":"A computational atlas of the hippocampal formation using ex vivo, ultra-high resolution MRI: Application to adaptive segmentation of in vivo MRI","volume":"115","author":"Iglesias","year":"2015","journal-title":"NeuroImage"},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"146591","DOI":"10.1016\/j.brainres.2019.146591","article-title":"The association between hippocampal subfield volumes in mild cognitive impairment and conversion to Alzheimer\u2019s disease","volume":"1728","author":"Izzo","year":"2020","journal-title":"Brain Res."},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"33","DOI":"10.1016\/j.neurobiolaging.2020.08.022","article-title":"Multimodal hippocampal and amygdala subfield volumetry in polygenic risk for Alzheimer\u2019s disease","volume":"98","author":"Murray","year":"2021","journal-title":"Neurobiol. Aging"},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"13624","DOI":"10.1038\/ncomms13624","article-title":"Novel genetic loci associated with hippocampal volume","volume":"8","author":"Hibar","year":"2017","journal-title":"Nat. Commun."},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"1325","DOI":"10.1002\/oby.22841","article-title":"Associations Between Body Weight, Hippocampal Volume, and Tissue Signal Intensity in 12- to 18-Year-Olds","volume":"28","author":"Mestre","year":"2020","journal-title":"Obesity"},{"key":"ref_75","doi-asserted-by":"crossref","first-page":"102156","DOI":"10.1016\/j.nicl.2019.102156","article-title":"Body mass index is associated with smaller medial temporal lobe volume in those at risk for Alzheimer\u2019s disease","volume":"25","author":"Hayes","year":"2020","journal-title":"Neuroimage Clin."},{"key":"ref_76","doi-asserted-by":"crossref","first-page":"e15","DOI":"10.1007\/BF03327747","article-title":"Obesity is associated with memory deficits in young and middle-aged adults","volume":"11","author":"Gunstad","year":"2006","journal-title":"Eat. Weight Disord."},{"key":"ref_77","doi-asserted-by":"crossref","first-page":"1259","DOI":"10.1007\/s12603-017-0906-3","article-title":"Late-Life Body Mass Index, Rapid Weight Loss, Apolipoprotein E \u03b54 and the Risk of Cognitive Decline and Incident Dementia","volume":"21","author":"Bell","year":"2017","journal-title":"J. Nutr. Health Aging"},{"key":"ref_78","first-page":"280","article-title":"Cross-sectional study of the association of cognitive function and hippocampal volume among healthy elderly adults","volume":"26","author":"Jiang","year":"2014","journal-title":"Shanghai Arch. Psychiatry"},{"key":"ref_79","doi-asserted-by":"crossref","first-page":"322","DOI":"10.1093\/arclin\/acu012","article-title":"Hampstead, RBANS memory indices are related to medial temporal lobe volumetrics in healthy older adults and those with mild cognitive impairment","volume":"29","author":"England","year":"2014","journal-title":"Arch. Clin. Neuropsychol."},{"key":"ref_80","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1080\/13803395.2023.2216920","article-title":"Change on the Repeatable Battery for the Assessment of Neuropsychological Status and its relationship to brain amyloid","volume":"45","author":"Duff","year":"2023","journal-title":"J. Clin. Exp. Neuropsychol."},{"key":"ref_81","doi-asserted-by":"crossref","unstructured":"de Guevara, C.M.L., del Paso, G.A.R., Fern\u00e1ndez Serrano, M.J., and Montoro, C.I. (2022). Fibromyalgia Syndrome and Cognitive Decline: The Role of Body Mass Index and Clinical Symptoms. J. Clin. Med., 11.","DOI":"10.3390\/jcm11123404"},{"key":"ref_82","doi-asserted-by":"crossref","first-page":"6","DOI":"10.1176\/appi.neuropsych.23.1.6","article-title":"A review of the brain structure correlates of successful cognitive aging","volume":"23","author":"Kaup","year":"2011","journal-title":"J. Neuropsychiatry"},{"key":"ref_83","doi-asserted-by":"crossref","first-page":"380","DOI":"10.1016\/j.neuropsychologia.2016.08.016","article-title":"Differential association of left and right hippocampal volumes with verbal episodic and spatial memory in older adults","volume":"93 Pt B","author":"Ezzati","year":"2016","journal-title":"Neuropsychologia"},{"key":"ref_84","doi-asserted-by":"crossref","first-page":"653","DOI":"10.1016\/j.jagp.2013.08.006","article-title":"Racial\/ethnic variations in the relation between body mass index and cognitive function among older adults","volume":"22","author":"Bryant","year":"2014","journal-title":"Am. J. Geriatr. Psychiatry"}],"container-title":["Brain Sciences"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2076-3425\/14\/2\/170\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T13:56:48Z","timestamp":1760104608000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2076-3425\/14\/2\/170"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,2,8]]},"references-count":84,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2024,2]]}},"alternative-id":["brainsci14020170"],"URL":"https:\/\/doi.org\/10.3390\/brainsci14020170","relation":{},"ISSN":["2076-3425"],"issn-type":[{"type":"electronic","value":"2076-3425"}],"subject":[],"published":{"date-parts":[[2024,2,8]]}}}