{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,4]],"date-time":"2026-11-04T14:31:45Z","timestamp":1793802705995,"version":"4.6.1"},"reference-count":48,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2025,2,1]],"date-time":"2025-02-01T00:00:00Z","timestamp":1738368000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2025,2,1]],"date-time":"2025-02-01T00:00:00Z","timestamp":1738368000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Nutr. Diabetes"],"DOI":"10.1038\/s41387-025-00359-w","type":"journal-article","created":{"date-parts":[[2025,2,1]],"date-time":"2025-02-01T12:36:46Z","timestamp":1738413406000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Sequence of episodic memory-related behavioral and brain-imaging abnormalities in type 2 diabetes"],"prefix":"10.1038","volume":"15","author":[{"given":"Bo","family":"Hu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ying","family":"Yu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xin-Wen","family":"Yu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Min-Hua","family":"Ni","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yan-Yan","family":"Cui","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xin-Yu","family":"Cao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ai-Li","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yu-Xin","family":"Jin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sheng-Ru","family":"Liang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Si-Ning","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pan","family":"Dai","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ke","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lin-Feng","family":"Yan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bin","family":"Gao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7935-9803","authenticated-orcid":false,"given":"Guang-Bin","family":"Cui","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,2,1]]},"reference":[{"key":"359_CR1","doi-asserted-by":"publisher","DOI":"10.1016\/j.diabres.2019.107843","volume":"157","author":"P Saeedi","year":"2019","unstructured":"Saeedi P, Petersohn I, Salpea P, Malanda B, Karuranga S, Unwin N, et al. Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045: results from the International Diabetes Federation Diabetes Atlas, 9(th) edition. Diab Res Clin Pract. 2019;157:107843 https:\/\/doi.org\/10.1016\/j.diabres.2019.107843","journal-title":"Diab Res Clin Pract"},{"key":"359_CR2","doi-asserted-by":"publisher","DOI":"10.1007\/s11910-020-01085-9","volume":"20","author":"Z Arvanitakis","year":"2020","unstructured":"Arvanitakis Z, Tatavarthy M, Bennett DA. The relation of diabetes to memory function. Curr Neurol Neurosci Rep. 2020;20:64 https:\/\/doi.org\/10.1007\/s11910-020-01085-9","journal-title":"Curr Neurol Neurosci Rep"},{"key":"359_CR3","doi-asserted-by":"publisher","first-page":"132","DOI":"10.1002\/dmrr.2664","volume":"32","author":"S Sadanand","year":"2016","unstructured":"Sadanand S, Balachandar R, Bharath S. Memory and executive functions in persons with type 2 diabetes: a meta-analysis. Diab\/Metabol Res Rev. 2016;32:132\u201342. https:\/\/doi.org\/10.1002\/dmrr.2664","journal-title":"Diab\/Metabol Res Rev"},{"key":"359_CR4","doi-asserted-by":"publisher","DOI":"10.1016\/j.nicl.2019.101802","volume":"22","author":"B Hu","year":"2019","unstructured":"Hu B, Yan LF, Sun Q, Yu Y, Zhang J, Dai YJ, et al. Disturbed neurovascular coupling in type 2 diabetes mellitus patients: Evidence from a comprehensive fMRI analysis. NeuroImage Clin. 2019;22:101802 https:\/\/doi.org\/10.1016\/j.nicl.2019.101802","journal-title":"NeuroImage Clin"},{"key":"359_CR5","doi-asserted-by":"publisher","first-page":"644","DOI":"10.1016\/j.neuroimage.2019.06.058","volume":"200","author":"Y Yu","year":"2019","unstructured":"Yu Y, Yan LF, Sun Q, Hu B, Zhang J, Yang Y, et al. Neurovascular decoupling in type 2 diabetes mellitus without mild cognitive impairment: potential biomarker for early cognitive impairment. NeuroImage. 2019;200:644\u201358. https:\/\/doi.org\/10.1016\/j.neuroimage.2019.06.058","journal-title":"NeuroImage"},{"key":"359_CR6","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1038\/s41387-022-00214-2","volume":"12","author":"T Ma","year":"2022","unstructured":"Ma T, Li ZY, Yu Y, Hu B, Han Y, Ni MH, et al. Gray and white matter abnormality in patients with T2DM-related cognitive dysfunction: a systemic review and meta-analysis. Nutrition Diabetes. 2022;12:39 https:\/\/doi.org\/10.1038\/s41387-022-00214-2","journal-title":"Nutrition Diabetes"},{"key":"359_CR7","doi-asserted-by":"publisher","first-page":"5336","DOI":"10.1093\/cercor\/bhac422","volume":"33","author":"MH Ni","year":"2022","unstructured":"Ni MH, Li ZY, Sun Q, Yu Y, Yang Y, Hu B, et al. Neurovascular decoupling measured with quantitative susceptibility mapping is associated with cognitive decline in patients with type 2 diabetes. Cerebral Cortex. 2022;33:5336\u201346. https:\/\/doi.org\/10.1093\/cercor\/bhac422","journal-title":"Cerebral Cortex"},{"key":"359_CR8","doi-asserted-by":"publisher","DOI":"10.3389\/fneur.2022.923310","volume":"13","author":"ZY Li","year":"2022","unstructured":"Li ZY, Ma T, Yu Y, Hu B, Han Y, Xie H, et al. Changes of brain function in patients with type 2 diabetes mellitus measured by different analysis methods: A new coordinate-based meta-analysis of neuroimaging. Front Neurol. 2022;13:923310 https:\/\/doi.org\/10.3389\/fneur.2022.923310","journal-title":"Front Neurol"},{"key":"359_CR9","doi-asserted-by":"publisher","first-page":"110","DOI":"10.4239\/wjd.v13.i2.110","volume":"13","author":"AP Shi","year":"2022","unstructured":"Shi AP, Yu Y, Hu B, Li YT, Wang W, Cui GB. Large-scale functional connectivity predicts cognitive impairment related to type 2 diabetes mellitus. World J Diabetes. 2022;13:110\u201325. https:\/\/doi.org\/10.4239\/wjd.v13.i2.110","journal-title":"World J Diabetes"},{"key":"359_CR10","doi-asserted-by":"publisher","first-page":"21","DOI":"10.3389\/fnana.2018.00021","volume":"12","author":"Q Sun","year":"2018","unstructured":"Sun Q, Chen GQ, Wang XB, Yu Y, Hu YC, Yan LF, et al. Alterations of white matter integrity and hippocampal functional connectivity in type 2 diabetes without mild cognitive impairment. Front Neuroanatomy. 2018;12:21 https:\/\/doi.org\/10.3389\/fnana.2018.00021","journal-title":"Front Neuroanatomy"},{"key":"359_CR11","doi-asserted-by":"publisher","first-page":"73","DOI":"10.1126\/science.aam6808","volume":"356","author":"T Kitamura","year":"2017","unstructured":"Kitamura T, Ogawa SK, Roy DS, Okuyama T, Morrissey MD, Smith LM, et al. Engrams and circuits crucial for systems consolidation of a memory. Science. 2017;356:73\u20138. https:\/\/doi.org\/10.1126\/science.aam6808","journal-title":"Science"},{"key":"359_CR12","doi-asserted-by":"publisher","first-page":"3835","DOI":"10.1016\/j.celrep.2019.11.075","volume":"29","author":"Y Makino","year":"2019","unstructured":"Makino Y, Polygalov D, Bola\u00f1os F, Benucci A, McHugh TJ. Physiological signature of memory age in the prefrontal-hippocampal circuit. Cell Rep. 2019;29:3835\u201346.e5. https:\/\/doi.org\/10.1016\/j.celrep.2019.11.075","journal-title":"Cell Rep"},{"key":"359_CR13","doi-asserted-by":"publisher","first-page":"465","DOI":"10.4103\/0366-6999.151082","volume":"128","author":"YW Zhang","year":"2015","unstructured":"Zhang YW, Zhang JQ, Liu C, Wei P, Zhang X, Yuan QY, et al. Memory dysfunction in type 2 diabetes mellitus correlates with reduced hippocampal CA1 and subiculum volumes. Chinese Med J. 2015;128:465\u201371. https:\/\/doi.org\/10.4103\/0366-6999.151082","journal-title":"Chinese Med J"},{"key":"359_CR14","doi-asserted-by":"publisher","first-page":"1908","DOI":"10.1111\/jdi.13554","volume":"12","author":"Y Adachi","year":"2021","unstructured":"Adachi Y, Ota K, Minami I, Yamada T, Watanabe T. Lower insulin secretion is associated with hippocampal and parahippocampal gyrus atrophy in elderly patients with type 2 diabetes mellitus. J Diabetes Investig. 2021;12:1908\u201313. https:\/\/doi.org\/10.1111\/jdi.13554","journal-title":"J Diabetes Investig"},{"key":"359_CR15","doi-asserted-by":"publisher","DOI":"10.1016\/j.heliyon.2022.e09390","volume":"8","author":"J Gu","year":"2022","unstructured":"Gu J, Cui S, Qi H, Li J, Wu W, Wang S, et al. Brain structural alterations detected by an automatic quantified tool as an indicator for MCI diagnosing in type 2 diabetes mellitus patients: a magnetic resonance imaging study. Heliyon. 2022;8:e09390 https:\/\/doi.org\/10.1016\/j.heliyon.2022.e09390","journal-title":"Heliyon"},{"key":"359_CR16","doi-asserted-by":"publisher","first-page":"275","DOI":"10.1016\/j.jocn.2014.07.014","volume":"22","author":"Z Chen","year":"2015","unstructured":"Chen Z, Sun J, Yang Y, Lou X, Wang Y, Wang Y, et al. Cortical thinning in type 2 diabetes mellitus and recovering effects of insulin therapy. J Clin Neurosci. 2015;22:275\u20139. https:\/\/doi.org\/10.1016\/j.jocn.2014.07.014","journal-title":"J Clin Neurosci"},{"key":"359_CR17","doi-asserted-by":"publisher","first-page":"14","DOI":"10.1002\/jmri.21224","volume":"27","author":"A Kumar","year":"2008","unstructured":"Kumar A, Haroon E, Darwin C, Pham D, Ajilore O, Rodriguez G, et al. Gray matter prefrontal changes in type 2 diabetes detected using MRI. J Magnetic Resonance Imaging. 2008;27:14\u20139. https:\/\/doi.org\/10.1002\/jmri.21224","journal-title":"J Magnetic Resonance Imaging"},{"key":"359_CR18","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1016\/j.pscychresns.2010.07.003","volume":"184","author":"O Ajilore","year":"2010","unstructured":"Ajilore O, Narr K, Rosenthal J, Pham D, Hamilton L, Watari K, et al. Regional cortical gray matter thickness differences associated with type 2 diabetes and major depression. Psychiatry Res. 2010;184:63\u201370. https:\/\/doi.org\/10.1016\/j.pscychresns.2010.07.003","journal-title":"Psychiatry Res"},{"key":"359_CR19","doi-asserted-by":"publisher","first-page":"736","DOI":"10.1159\/000529055","volume":"113","author":"J Tian","year":"2023","unstructured":"Tian J, Liu RF, Li ZL, Tan J, Lu YS, Zhang WW, et al. Alterations of spontaneous cortical and subcortical activity in Type 2 diabetes mellitus with and without depression. Neuroendocrinology. 2023;113:736\u201355. https:\/\/doi.org\/10.1159\/000529055","journal-title":"Neuroendocrinology"},{"key":"359_CR20","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2022.1070911","volume":"16","author":"M Li","year":"2022","unstructured":"Li M, Li Y, Zhao K, Tan X, Chen Y, Qin C, et al. Changes in the structure, perfusion, and function of the hippocampus in type 2 diabetes mellitus. Front Neurosci. 2022;16:1070911 https:\/\/doi.org\/10.3389\/fnins.2022.1070911","journal-title":"Front Neurosci"},{"key":"359_CR21","doi-asserted-by":"publisher","first-page":"2305","DOI":"10.1002\/acn3.51918","volume":"10","author":"D Zhang","year":"2023","unstructured":"Zhang D, Huang Y, Liu S, Gao J, Liu W, Liu W, et al. Structural and functional connectivity alteration patterns of the cingulate gyrus in Type 2 diabetes. Ann Clin Transl Neurol. 2023;10:2305\u201315. https:\/\/doi.org\/10.1002\/acn3.51918","journal-title":"Ann Clin Transl Neurol"},{"key":"359_CR22","doi-asserted-by":"publisher","first-page":"1880","DOI":"10.1016\/j.neuroimage.2012.01.062","volume":"60","author":"HM Fonteijn","year":"2012","unstructured":"Fonteijn HM, Modat M, Clarkson MJ, Barnes J, Lehmann M, Hobbs NZ, et al. An event-based model for disease progression and its application in familial Alzheimer\u2019s disease and Huntington\u2019s disease. NeuroImage. 2012;60:1880\u20139. https:\/\/doi.org\/10.1016\/j.neuroimage.2012.01.062","journal-title":"NeuroImage"},{"key":"359_CR23","doi-asserted-by":"publisher","first-page":"965","DOI":"10.1002\/alz.12083","volume":"16","author":"NC Firth","year":"2020","unstructured":"Firth NC, Primativo S, Brotherhood E, Young AL, Yong KXX, Crutch SJ, et al. Sequences of cognitive decline in typical Alzheimer\u2019s disease and posterior cortical atrophy estimated using a novel event-based model of disease progression. Alzheimer\u2019s Dementia. 2020;16:965\u201373. https:\/\/doi.org\/10.1002\/alz.12083","journal-title":"Alzheimer\u2019s Dementia"},{"key":"359_CR24","doi-asserted-by":"publisher","first-page":"1529","DOI":"10.1093\/brain\/awy050","volume":"141","author":"NP Oxtoby","year":"2018","unstructured":"Oxtoby NP, Young AL, Cash DM, Benzinger TLS, Fagan AM, Morris JC, et al. Data-driven models of dominantly-inherited Alzheimer\u2019s disease progression. Brain. 2018;141:1529\u201344. https:\/\/doi.org\/10.1093\/brain\/awy050","journal-title":"Brain"},{"key":"359_CR25","doi-asserted-by":"publisher","first-page":"149","DOI":"10.1001\/jamaneurol.2021.4654","volume":"79","author":"A Leuzy","year":"2022","unstructured":"Leuzy A, Smith R, Cullen NC, Strandberg O, Vogel JW, Binette AP, et al. Biomarker-based prediction of longitudinal tau positron emission tomography in Alzheimer Disease. JAMA Neurol. 2022;79:149\u201358. https:\/\/doi.org\/10.1001\/jamaneurol.2021.4654","journal-title":"JAMA Neurol"},{"key":"359_CR26","doi-asserted-by":"publisher","first-page":"975","DOI":"10.1093\/brain\/awaa461","volume":"144","author":"NP Oxtoby","year":"2021","unstructured":"Oxtoby NP, Leyland LA, Aksman LM, Thomas GEC, Bunting EL, Wijeratne PA, et al. Sequence of clinical and neurodegeneration events in Parkinson\u2019s disease progression. Brain. 2021;144:975\u201388. https:\/\/doi.org\/10.1093\/brain\/awaa461","journal-title":"Brain"},{"key":"359_CR27","doi-asserted-by":"publisher","first-page":"3261","DOI":"10.1002\/alz.12939","volume":"19","author":"V Venkatraghavan","year":"2023","unstructured":"Venkatraghavan V, Pascuzzo R, Bron EE, Moscatelli M, Grisoli M, Pickens A, et al. A discriminative event-based model for subtype diagnosis of sporadic Creutzfeldt-Jakob disease using brain MRI. Alzheimer\u2019s Dementia. 2023;19:3261\u201371. https:\/\/doi.org\/10.1002\/alz.12939","journal-title":"Alzheimer\u2019s Dementia"},{"key":"359_CR28","doi-asserted-by":"publisher","first-page":"1805","DOI":"10.1093\/brain\/awab382","volume":"145","author":"EL van der Ende","year":"2022","unstructured":"van der Ende EL, Bron EE, Poos JM, Jiskoot LC, Panman JL, Papma JM, et al. A data-driven disease progression model of fluid biomarkers in genetic frontotemporal dementia. Brain. 2022;145:1805\u201317. https:\/\/doi.org\/10.1093\/brain\/awab382","journal-title":"Brain"},{"key":"359_CR29","doi-asserted-by":"publisher","DOI":"10.1093\/braincomms\/fcad332","volume":"5","author":"C Tozlu","year":"2023","unstructured":"Tozlu C, Olafson E, Jamison KW, Demmon E, Kaunzner U, Marcille M, et al. The sequence of regional structural disconnectivity due to multiple sclerosis lesions. Brain Commun. 2023;5:fcad332 https:\/\/doi.org\/10.1093\/braincomms\/fcad332","journal-title":"Brain Commun"},{"key":"359_CR30","doi-asserted-by":"publisher","DOI":"10.1016\/j.nicl.2020.102550","volume":"29","author":"I Dekker","year":"2021","unstructured":"Dekker I, Schoonheim MM, Venkatraghavan V, Eijlers AJC, Brouwer I, Bron EE, et al. The sequence of structural, functional and cognitive changes in multiple sclerosis. NeuroImage Clin. 2021;29:102550 https:\/\/doi.org\/10.1016\/j.nicl.2020.102550","journal-title":"NeuroImage Clin"},{"key":"359_CR31","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2020.117646","volume":"227","author":"V Venkatraghavan","year":"2021","unstructured":"Venkatraghavan V, Klein S, Fani L, Ham LS, Vrooman H, Ikram MK, et al. Analyzing the effect of APOE on Alzheimer\u2019s disease progression using an event-based model for stratified populations. NeuroImage. 2021;227:117646 https:\/\/doi.org\/10.1016\/j.neuroimage.2020.117646","journal-title":"NeuroImage"},{"key":"359_CR32","doi-asserted-by":"publisher","first-page":"e100147","DOI":"10.1136\/gpsych-2019-100147","volume":"33","author":"Y Mu","year":"2020","unstructured":"Mu Y, Li Y, Zhang Q, Ding Z, Wang M, Luo X, et al. Amplitude of low-frequency fluctuations on Alzheimer\u2019s disease with depression: evidence from resting-state fMRI. Gen Psychiatry. 2020;33:e100147 https:\/\/doi.org\/10.1136\/gpsych-2019-100147","journal-title":"Gen Psychiatry"},{"key":"359_CR33","doi-asserted-by":"publisher","first-page":"28","DOI":"10.1186\/s13195-020-00764-6","volume":"13","author":"L Liang","year":"2021","unstructured":"Liang L, Yuan Y, Wei Y, Yu B, Mai W, Duan G, et al. Recurrent and concurrent patterns of regional BOLD dynamics and functional connectivity dynamics in cognitive decline. Alzheimer\u2019s Res Ther. 2021;13:28 https:\/\/doi.org\/10.1186\/s13195-020-00764-6","journal-title":"Alzheimer\u2019s Res Ther"},{"key":"359_CR34","doi-asserted-by":"publisher","unstructured":"Bernstein-Eliav M, Tavor I. The prediction of brain activity from connectivity: advances and applications. Neuroscientist. 2024;30367\u201377. https:\/\/doi.org\/10.1177\/10738584221130974.","DOI":"10.1177\/10738584221130974"},{"key":"359_CR35","doi-asserted-by":"publisher","first-page":"111","DOI":"10.1038\/s41592-018-0235-4","volume":"16","author":"O Esteban","year":"2019","unstructured":"Esteban O, Markiewicz CJ, Blair RW, Moodie CA, Isik AI, Erramuzpe A, et al. fMRIPrep: a robust preprocessing pipeline for functional MRI. Nat Methods. 2019;16:111\u20136. https:\/\/doi.org\/10.1038\/s41592-018-0235-4","journal-title":"Nat Methods"},{"key":"359_CR36","doi-asserted-by":"publisher","first-page":"3764","DOI":"10.1523\/jneurosci.2102-22.2023","volume":"43","author":"CK Walker","year":"2023","unstructured":"Walker CK, Greathouse KM, Tuscher JJ, Dammer EB, Weber AJ, Liu E, et al. Cross-platform synaptic network analysis of human entorhinal cortex identifies TWF2 as a modulator of dendritic spine length. J Neurosci. 2023;43:3764\u201385. https:\/\/doi.org\/10.1523\/jneurosci.2102-22.2023","journal-title":"J Neurosci"},{"key":"359_CR37","doi-asserted-by":"publisher","first-page":"5379","DOI":"10.1073\/pnas.1403382111","volume":"111","author":"P Saker","year":"2014","unstructured":"Saker P, Farrell MJ, Adib FR, Egan GF, McKinley MJ, Denton DA. Regional brain responses associated with drinking water during thirst and after its satiation. Proc Natl Acad Sci USA. 2014;111:5379\u201384. https:\/\/doi.org\/10.1073\/pnas.1403382111","journal-title":"Proc Natl Acad Sci USA"},{"key":"359_CR38","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2019.116189","volume":"206","author":"ET Rolls","year":"2020","unstructured":"Rolls ET, Huang CC, Lin CP, Feng J, Joliot M. Automated anatomical labelling atlas 3. NeuroImage. 2020;206:116189 https:\/\/doi.org\/10.1016\/j.neuroimage.2019.116189","journal-title":"NeuroImage"},{"key":"359_CR39","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1016\/j.neuroscience.2023.12.003","volume":"538","author":"Q Zhao","year":"2024","unstructured":"Zhao Q, Du X, Liu F, Zhang Y, Qin W, Zhang Q. ECHDC3 variant regulates the right hippocampal microstructural integrity and verbal memory in type 2 diabetes mellitus. Neuroscience. 2024;538:30\u20139. https:\/\/doi.org\/10.1016\/j.neuroscience.2023.12.003","journal-title":"Neuroscience"},{"key":"359_CR40","doi-asserted-by":"publisher","first-page":"2506","DOI":"10.1007\/s11682-022-00706-w","volume":"16","author":"Y Zhang","year":"2022","unstructured":"Zhang Y, Du X, Fu Y, Zhao Q, Wang Z, Qin W, et al. Effects of polygenic risk score of type 2 diabetes on the hippocampal topological property and episodic memory. Brain Imaging Behav. 2022;16:2506\u201316. https:\/\/doi.org\/10.1007\/s11682-022-00706-w","journal-title":"Brain Imaging Behav"},{"key":"359_CR41","doi-asserted-by":"publisher","DOI":"10.3389\/fneur.2021.756500","volume":"12","author":"M Li","year":"2021","unstructured":"Li M, Li Y, Liu Y, Huang H, Leng X, Chen Y, et al. Altered hippocampal subfields volumes is associated with memory function in type 2 diabetes mellitus. Front Neurol. 2021;12:756500 https:\/\/doi.org\/10.3389\/fneur.2021.756500","journal-title":"Front Neurol"},{"key":"359_CR42","doi-asserted-by":"publisher","first-page":"89","DOI":"10.3233\/jad-160505","volume":"55","author":"PJ Fried","year":"2017","unstructured":"Fried PJ, Schilberg L, Brem AK, Saxena S, Wong B, Cypess AM, et al. Humans with Type-2 diabetes show abnormal long-term potentiation-like cortical plasticity associated with verbal learning deficits. J Alzheimer\u2019s Dis. 2017;55:89\u2013100. https:\/\/doi.org\/10.3233\/jad-160505","journal-title":"J Alzheimer\u2019s Dis"},{"key":"359_CR43","doi-asserted-by":"publisher","first-page":"124","DOI":"10.1016\/j.tins.2022.11.006","volume":"46","author":"KM Igarashi","year":"2023","unstructured":"Igarashi KM. Entorhinal cortex dysfunction in Alzheimer\u2019s disease. Trends Neurosci. 2023;46:124\u201336. https:\/\/doi.org\/10.1016\/j.tins.2022.11.006","journal-title":"Trends Neurosci"},{"key":"359_CR44","doi-asserted-by":"publisher","unstructured":"Gurunandan K, Arnaez-Telleria J, Carreiras M. Converging evidence for differential specialisation and plasticity of language systems. J Neurosci. 2020;40:9715\u201324. https:\/\/doi.org\/10.1523\/jneurosci.0851-20.2020.","DOI":"10.1523\/jneurosci.0851-20.2020"},{"key":"359_CR45","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2023.120437","volume":"283","author":"YT Li","year":"2023","unstructured":"Li YT, Bai K, Li GZ, Hu B, Chen JW, Shang YX, et al. Functional to structural plasticity in unilateral sudden sensorineural hearing loss: neuroimaging evidence. NeuroImage. 2023;283:120437 https:\/\/doi.org\/10.1016\/j.neuroimage.2023.120437","journal-title":"NeuroImage"},{"key":"359_CR46","doi-asserted-by":"publisher","first-page":"e661","DOI":"10.1016\/s2468-2667(20)30185-7","volume":"5","author":"L Jia","year":"2020","unstructured":"Jia L, Du Y, Chu L, Zhang Z, Li F, Lyu D, et al. Prevalence, risk factors, and management of dementia and mild cognitive impairment in adults aged 60 years or older in China: a cross-sectional study. Lancet Public Health. 2020;5:e661\u2013e71. https:\/\/doi.org\/10.1016\/s2468-2667(20)30185-7","journal-title":"Lancet Public Health"},{"key":"359_CR47","doi-asserted-by":"publisher","DOI":"10.1007\/s11892-019-1239-x","volume":"19","author":"R Almourani","year":"2019","unstructured":"Almourani R, Chinnakotla B, Patel R, Kurukulasuriya LR, Sowers J. Diabetes and cardiovascular disease: an update. Current Diabetes Rep. 2019;19:161 https:\/\/doi.org\/10.1007\/s11892-019-1239-x","journal-title":"Current Diabetes Rep"},{"key":"359_CR48","doi-asserted-by":"publisher","first-page":"237","DOI":"10.1161\/hypertensionaha.119.13023","volume":"75","author":"SP Rensma","year":"2020","unstructured":"Rensma SP, van Sloten TT, Houben A, K\u00f6hler S, van Boxtel MPJ, Berendschot T, et al. Microvascular dysfunction is associated with worse cognitive performance: the maastricht study. Hypertension. 2020;75:237\u201345. https:\/\/doi.org\/10.1161\/hypertensionaha.119.13023","journal-title":"Hypertension"}],"container-title":["Nutrition & Diabetes"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.nature.com\/articles\/s41387-025-00359-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41387-025-00359-w","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41387-025-00359-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,1]],"date-time":"2025-02-01T12:36:48Z","timestamp":1738413408000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.nature.com\/articles\/s41387-025-00359-w"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,2,1]]},"references-count":48,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2025,12]]}},"alternative-id":["359"],"URL":"https:\/\/doi.org\/10.1038\/s41387-025-00359-w","relation":{},"ISSN":["2044-4052"],"issn-type":[{"value":"2044-4052","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,2,1]]},"assertion":[{"value":"1 September 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"10 January 2025","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"22 January 2025","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"1 February 2025","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"The authors declare no competing interests.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}},{"value":"This study was approved by the institutional review board of Tangdu hospital, Air Force Medical University. All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and\/or national research committee and complied with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval"}},{"value":"All the subjects provided written informed consent.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}}],"article-number":"1"}}