{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,14]],"date-time":"2026-08-14T09:37:24Z","timestamp":1786700244483,"version":"build-2736575974"},"reference-count":109,"publisher":"Springer Science and Business Media LLC","license":[{"start":{"date-parts":[[2026,8,14]],"date-time":"2026-08-14T00:00:00Z","timestamp":1786665600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,8,14]],"date-time":"2026-08-14T00:00:00Z","timestamp":1786665600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82371495"],"award-info":[{"award-number":["82371495"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Jpn J Radiol"],"DOI":"10.1007\/s11604-026-02062-x","type":"journal-article","created":{"date-parts":[[2026,8,14]],"date-time":"2026-08-14T09:09:47Z","timestamp":1786698587000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Multimodal MRI insights into hippocampal pathological changes across the Alzheimer\u2019s disease continuum: advances and challenges"],"prefix":"10.1007","author":[{"given":"Yao","family":"Wang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhengsheng","family":"Gu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hailing","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaoying","family":"Bi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Luguang","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0380-7470","authenticated-orcid":false,"given":"Jianping","family":"Lu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,8,14]]},"reference":[{"key":"2062_CR1","doi-asserted-by":"publisher","unstructured":"Alzheimer\u2019s A. 2024 Alzheimer\u2019s disease facts and figures. Alzheimers Dement. 2024;20:3708\u2013821. https:\/\/doi.org\/10.1002\/alz.13809","DOI":"10.1002\/alz.13809"},{"key":"2062_CR2","doi-asserted-by":"publisher","first-page":"4175","DOI":"10.1007\/s10072-022-05890-7","volume":"43","author":"E Hari","year":"2022","unstructured":"Hari E, Kurt E, Bayram A, Kizilates-Evin G, Acar B, Demiralp T, et al. Volumetric changes within hippocampal subfields in Alzheimer\u2019s disease continuum. Neurol Sci. 2022;43:4175\u201383. https:\/\/doi.org\/10.1007\/s10072-022-05890-7.","journal-title":"Neurol Sci"},{"key":"2062_CR3","doi-asserted-by":"publisher","first-page":"1259","DOI":"10.1016\/j.neurobiolaging.2010.05.006","volume":"31","author":"GB Frisoni","year":"2010","unstructured":"Frisoni GB, Weiner MW. Alzheimer\u2019s disease neuroimaging initiative special issue. Neurobiol Aging. 2010;31:1259\u201362. https:\/\/doi.org\/10.1016\/j.neurobiolaging.2010.05.006.","journal-title":"Neurobiol Aging"},{"key":"2062_CR4","doi-asserted-by":"publisher","first-page":"239","DOI":"10.4103\/0972-2327.104323","volume":"15","author":"K Anand","year":"2012","unstructured":"Anand K, Dhikav V. Hippocampus in health and disease: an overview. Ann Indian Acad Neurol. 2012;15:239. https:\/\/doi.org\/10.4103\/0972-2327.104323.","journal-title":"Ann Indian Acad Neurol"},{"key":"2062_CR5","doi-asserted-by":"publisher","first-page":"e70648","DOI":"10.1002\/alz.70648","volume":"21","author":"J Ottoy","year":"2025","unstructured":"Ottoy J, Owsicki N, Bilgel M, Binette AP, Salvad\u00f3 G, Kang MS, et al. Recent advances in neuroimaging of Alzheimer\u2019s disease and related dementias. Alzheimers Dement. 2025;21:e70648. https:\/\/doi.org\/10.1002\/alz.70648.","journal-title":"Alzheimers Dement"},{"key":"2062_CR6","doi-asserted-by":"publisher","first-page":"953","DOI":"10.1007\/s00062-021-01057-7","volume":"31","author":"P Talwar","year":"2021","unstructured":"Talwar P, Kushwaha S, Chaturvedi M, Mahajan V. Systematic review of different neuroimaging correlates in mild cognitive impairment and Alzheimer\u2019s disease. Clin Neuroradiol. 2021;31:953\u201367. https:\/\/doi.org\/10.1007\/s00062-021-01057-7.","journal-title":"Clin Neuroradiol"},{"key":"2062_CR7","doi-asserted-by":"publisher","first-page":"877","DOI":"10.2174\/15672050113109990150","volume":"10","author":"D Wang","year":"2013","unstructured":"Wang D, Hui S, Shi L, Huang W, Wang T, Mok V, et al. Application of multimodal MR imaging on studying Alzheimer\u2019s disease: a survey. Curr Alzheimer Res. 2013;10:877\u201392. https:\/\/doi.org\/10.2174\/15672050113109990150.","journal-title":"Curr Alzheimer Res"},{"key":"2062_CR8","doi-asserted-by":"publisher","unstructured":"Ch\u00e9telat G. Multimodal neuroimaging in Alzheimer\u2019s disease: early diagnosis, physiopathological mechanisms, and impact of lifestyle. Perry G, Avila J, Moreira PI, Sorensen AA, Tabaton M, editors. J Alzheimers Dis. 2018;64:S199\u2013211. https:\/\/doi.org\/10.3233\/JAD-179920","DOI":"10.3233\/JAD-179920"},{"key":"2062_CR9","doi-asserted-by":"publisher","first-page":"55","DOI":"10.1007\/s13205-022-03123-4","volume":"12","author":"YL Rao","year":"2022","unstructured":"Rao YL, Ganaraja B, Murlimanju BV, Joy T, Krishnamurthy A, Agrawal A. Hippocampus and its involvement in Alzheimer\u2019s disease: a review. 3 Biotech. 2022;12:55. https:\/\/doi.org\/10.1007\/s13205-022-03123-4.","journal-title":"3 Biotech"},{"key":"2062_CR10","doi-asserted-by":"publisher","first-page":"1390574","DOI":"10.3389\/fnagi.2024.1390574","volume":"16","author":"M Woodward","year":"2024","unstructured":"Woodward M, Bennett DA, Rundek T, Perry G, Rudka T. The relationship between hippocampal changes in healthy aging and Alzheimer\u2019s disease: a systematic literature review. Front Aging Neurosci. 2024;16:1390574. https:\/\/doi.org\/10.3389\/fnagi.2024.1390574.","journal-title":"Front Aging Neurosci"},{"key":"2062_CR11","doi-asserted-by":"publisher","first-page":"253","DOI":"10.1007\/s11682-024-00952-0","volume":"19","author":"A Zilioli","year":"2024","unstructured":"Zilioli A, Pancaldi B, Baumeister H, Busi G, Misirocchi F, Mutti C, et al. Unveiling the hippocampal subfield changes across the Alzheimer\u2019s disease continuum: a systematic review of neuroimaging studies. Brain Imaging Behav. 2024;19:253\u201367. https:\/\/doi.org\/10.1007\/s11682-024-00952-0.","journal-title":"Brain Imaging Behav"},{"key":"2062_CR12","doi-asserted-by":"publisher","first-page":"55","DOI":"10.1186\/s13024-020-00395-3","volume":"15","author":"X Wang","year":"2020","unstructured":"Wang X, Huang W, Su L, Xing Y, Jessen F, Sun Y, et al. Neuroimaging advances regarding subjective cognitive decline in preclinical Alzheimer\u2019s disease. Mol Neurodegener. 2020;15:55. https:\/\/doi.org\/10.1186\/s13024-020-00395-3.","journal-title":"Mol Neurodegener"},{"key":"2062_CR13","doi-asserted-by":"publisher","first-page":"e41662","DOI":"10.1097\/MD.0000000000041662","volume":"104","author":"Y Pusparani","year":"2025","unstructured":"Pusparani Y, Lin C-Y, Jan Y-K, Lin F-Y, Liau B-Y, Alex JSR, et al. Hippocampal volume asymmetry in Alzheimer disease: a systematic review and meta-analysis. Med (Baltim). 2025;104:e41662. https:\/\/doi.org\/10.1097\/MD.0000000000041662.","journal-title":"Med (Baltim)"},{"key":"2062_CR14","doi-asserted-by":"publisher","first-page":"117","DOI":"10.1016\/j.neuroimage.2015.04.042","volume":"115","author":"JE Iglesias","year":"2015","unstructured":"Iglesias JE, Augustinack JC, Nguyen K, Player CM, Player A, Wright M, et al. A computational atlas of the hippocampal formation using ex vivo, ultra-high resolution MRI: application to adaptive segmentation of in vivo MRI. NeuroImage. 2015;115:117\u201337. https:\/\/doi.org\/10.1016\/j.neuroimage.2015.04.042.","journal-title":"NeuroImage"},{"key":"2062_CR15","doi-asserted-by":"publisher","first-page":"258","DOI":"10.1002\/hbm.22627","volume":"36","author":"PA Yushkevich","year":"2015","unstructured":"Yushkevich PA, Pluta JB, Wang H, Xie L, Ding S-L, Gertje EC, et al. Automated volumetry and regional thickness analysis of hippocampal subfields and medial temporal cortical structures in mild cognitive impairment: automatic morphometry of MTL subfields in MCI. Hum Brain Mapp. 2015;36:258\u201387. https:\/\/doi.org\/10.1002\/hbm.22627.","journal-title":"Hum Brain Mapp"},{"key":"2062_CR16","doi-asserted-by":"publisher","first-page":"e70482","DOI":"10.1002\/alz.70482","volume":"21","author":"H Baumeister","year":"2025","unstructured":"Baumeister H, Gellersen HM, Polk SE, Lattmann R, Wuestefeld A, Wisse LEM, et al. Disease stage\u2013specific atrophy markers in Alzheimer\u2019s disease. Alzheimers Dement. 2025;21:e70482. https:\/\/doi.org\/10.1002\/alz.70482.","journal-title":"Alzheimers Dement"},{"key":"2062_CR17","doi-asserted-by":"publisher","first-page":"121","DOI":"10.1186\/s13195-025-01768-w","volume":"17","author":"MMA Bouwman","year":"2025","unstructured":"Bouwman MMA, Frigerio I, Lin C-P, Reijner N, Van De Berg WDJ, Jonkman LE. Hippocampal subfields: volume, neuropathological vulnerability and cognitive decline in Alzheimer\u2019s and Parkinson\u2019s disease. Alzheimers Res Ther. 2025;17:121. https:\/\/doi.org\/10.1186\/s13195-025-01768-w.","journal-title":"Alzheimers Res Ther"},{"key":"2062_CR18","doi-asserted-by":"publisher","first-page":"2457","DOI":"10.1111\/cns.14189","volume":"29","author":"W Zheng","year":"2023","unstructured":"Zheng W, Liu H, Li Z, Li K, Wang Y, Hu B, et al. Classification of Alzheimer\u2019s disease based on hippocampal multivariate morphometry statistics. CNS Neurosci Ther. 2023;29:2457\u201368. https:\/\/doi.org\/10.1111\/cns.14189.","journal-title":"CNS Neurosci Ther"},{"key":"2062_CR19","doi-asserted-by":"publisher","first-page":"700","DOI":"10.1001\/jamapsychiatry.2023.1012","volume":"80","author":"E McLachlan","year":"2023","unstructured":"McLachlan E. Association between false memories and delusions in Alzheimer disease. JAMA Psychiatry. 2023;80:700\u20139.","journal-title":"JAMA Psychiatry"},{"key":"2062_CR20","doi-asserted-by":"publisher","first-page":"721217","DOI":"10.3389\/fnagi.2021.721217","volume":"13","author":"H-I Chang","year":"2021","unstructured":"Chang H-I, Chang Y-T, Huang C-W, Huang K-L, Hsu J-L, Hsu S-W, et al. Structural covariance network as an endophenotype in Alzheimer\u2019s disease-susceptible single-nucleotide polymorphisms and the correlations with cognitive outcomes. Front Aging Neurosci. 2021;13:721217. https:\/\/doi.org\/10.3389\/fnagi.2021.721217.","journal-title":"Front Aging Neurosci"},{"key":"2062_CR21","doi-asserted-by":"publisher","first-page":"1259190","DOI":"10.3389\/fnagi.2023.1259190","volume":"15","author":"J Yue","year":"2023","unstructured":"Yue J, Han S, Li A, Wei Z, Cao D, Gao S, et al. Multimodal magnetic resonance imaging on brain structure and function changes in subjective cognitive decline: a mini-review. Front Aging Neurosci. 2023;15:1259190. https:\/\/doi.org\/10.3389\/fnagi.2023.1259190.","journal-title":"Front Aging Neurosci"},{"key":"2062_CR22","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1016\/j.neuroscience.2024.10.007","volume":"561","author":"J Zhou","year":"2024","unstructured":"Zhou J, Gong L, Liu X, Chen L, Yang Z. Mendelian randomization in Alzheimer\u2019s disease and mild cognitive impairment: Hippocampal volume associations. Neuroscience. 2024;561:30\u201342. https:\/\/doi.org\/10.1016\/j.neuroscience.2024.10.007.","journal-title":"Neuroscience"},{"key":"2062_CR23","doi-asserted-by":"publisher","first-page":"155","DOI":"10.3390\/cells14030155","volume":"14","author":"J Debatisse","year":"2025","unstructured":"Debatisse J, Leng F, Ashraf A, Edison P. Cortical diffusivity, a biomarker for early neuronal damage, is associated with Amyloid-\u03b2 deposition: a pilot study. Cells. 2025;14:155. https:\/\/doi.org\/10.3390\/cells14030155.","journal-title":"Cells"},{"key":"2062_CR24","doi-asserted-by":"publisher","first-page":"800","DOI":"10.1111\/ene.13892","volume":"26","author":"W Shao","year":"2019","unstructured":"Shao W, Li X, Zhang J, Yang C, Tao W, Zhang S, et al. White matter integrity disruption in the pre-dementia stages of Alzheimer\u2019s disease: from subjective memory impairment to amnestic mild cognitive impairment. Eur J Neurol. 2019;26:800\u20137. https:\/\/doi.org\/10.1111\/ene.13892.","journal-title":"Eur J Neurol"},{"key":"2062_CR25","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1016\/j.jagp.2023.08.002","volume":"32","author":"JA Silva-Rudberg","year":"2024","unstructured":"Silva-Rudberg JA, Salardini E, O\u2019Dell RS, Chen M-K, Ra J, Georgelos JK, et al. Assessment of gray matter microstructure and synaptic density in Alzheimer\u2019s disease: a multimodal imaging study with DTI and SV2A PET. Am J Geriatr Psychiatry. 2024;32:17\u201328. https:\/\/doi.org\/10.1016\/j.jagp.2023.08.002.","journal-title":"Am J Geriatr Psychiatry"},{"key":"2062_CR26","doi-asserted-by":"publisher","first-page":"785","DOI":"10.1017\/S1041610216002349","volume":"29","author":"SY Ryu","year":"2017","unstructured":"Ryu SY, Lim EY, Na S, Shim YS, Cho JH, Yoon B, et al. Hippocampal and entorhinal structures in subjective memory impairment: a combined MRI volumetric and DTI study. Int Psychogeriatr. 2017;29:785\u201392. https:\/\/doi.org\/10.1017\/S1041610216002349.","journal-title":"Int Psychogeriatr"},{"key":"2062_CR27","doi-asserted-by":"publisher","first-page":"764","DOI":"10.1007\/s11682-023-00805-2","volume":"17","author":"S Zhong","year":"2023","unstructured":"Zhong S, Lou J, Ma K, Shu Z, Chen L, Li C, et al. Disentangling in-vivo microstructural changes of white and gray matter in mild cognitive impairment and Alzheimer\u2019s disease: a systematic review and meta-analysis. Brain Imaging Behav. 2023;17:764\u201377. https:\/\/doi.org\/10.1007\/s11682-023-00805-2.","journal-title":"Brain Imaging Behav"},{"key":"2062_CR28","doi-asserted-by":"publisher","first-page":"5319","DOI":"10.1111\/ejn.15815","volume":"56","author":"D Xiao","year":"2022","unstructured":"Xiao D, Wang K, Theriault L, Charbel E, Alzheimer\u2019s Disease Neuroimaging Initiative. White matter integrity and key structures affected in Alzheimer\u2019s disease characterized by diffusion tensor imaging. Eur J Neurosci. 2022;56:5319\u201331. https:\/\/doi.org\/10.1111\/ejn.15815.","journal-title":"Eur J Neurosci"},{"key":"2062_CR29","doi-asserted-by":"publisher","first-page":"1007","DOI":"10.3233\/JAD-220671","volume":"91","author":"J Qianyun Chen, Abrigo","year":"2023","unstructured":"Qianyun Chen, Abrigo J, Deng M, Shi L, Wang Y-X, Chu WCW. Diffusion changes in hippocampal cingulum in early biologically defined Alzheimer\u2019s disease. J Alzheimers Dis. 2023;91:1007\u201317. https:\/\/doi.org\/10.3233\/JAD-220671.","journal-title":"J Alzheimers Dis"},{"key":"2062_CR30","doi-asserted-by":"publisher","unstructured":"Uchida Y, Onda K, Hou Z, Troncoso JC, Mori S, Oishi K. Microstructural neurodegeneration of the entorhinal-hippocampus pathway along the Alzheimer\u2019s disease continuum. Yamada M, editor. J Alzheimer\u2019s Dis. 2023;95:1107\u201317. https:\/\/doi.org\/10.3233\/JAD-230452","DOI":"10.3233\/JAD-230452"},{"key":"2062_CR31","doi-asserted-by":"publisher","first-page":"179","DOI":"10.3233\/JAD-210495","volume":"84","author":"F He","year":"2021","unstructured":"He F, Zhang Y, Wu X, Li Y, Zhao J, Fang P, et al. Early microstructure changes of white matter fiber bundles in patients with amnestic mild cognitive impairment predicts progression of mild cognitive impairment to Alzheimer\u2019s disease. J Alzheimers Dis. 2021;84:179\u201392. https:\/\/doi.org\/10.3233\/JAD-210495.","journal-title":"J Alzheimers Dis"},{"key":"2062_CR32","doi-asserted-by":"publisher","first-page":"2799","DOI":"10.1007\/s00259-025-07716-y","volume":"53","author":"K He","year":"2026","unstructured":"He K, Wang J, Wu J, Chen X, Chen H, Li J, et al. Impaired glymphatic function is associated with synaptic loss in cognitive impairment. Eur J Nucl Med Mol Imaging. 2026;53:2799\u2013810. https:\/\/doi.org\/10.1007\/s00259-025-07716-y.","journal-title":"Eur J Nucl Med Mol Imaging"},{"key":"2062_CR33","doi-asserted-by":"publisher","first-page":"107064","DOI":"10.1016\/j.nbd.2025.107064","volume":"215","author":"Z Chen","year":"2025","unstructured":"Chen Z, Bi S, He H-L, Qi Z, Xu X, Cui B, et al. Multimodal imaging of glymphatic dysfunction and retinal vascular changes as biomarkers for Alzheimer\u2019s disease. Neurobiol Dis. 2025;215:107064. https:\/\/doi.org\/10.1016\/j.nbd.2025.107064.","journal-title":"Neurobiol Dis"},{"key":"2062_CR34","doi-asserted-by":"publisher","first-page":"111368","DOI":"10.1016\/j.brainresbull.2025.111368","volume":"226","author":"Y Jiao","year":"2025","unstructured":"Jiao Y, Han W, Zhang L, Wang M, Lyu Z, Su Y, et al. Characterization of the glymphatic system and early-phase \u03b2-amyloid imaging in Alzheimer\u2019s disease: a simultaneous PET\/MR study. Brain Res Bull. 2025;226:111368. https:\/\/doi.org\/10.1016\/j.brainresbull.2025.111368.","journal-title":"Brain Res Bull"},{"key":"2062_CR35","doi-asserted-by":"publisher","first-page":"12310","DOI":"10.1038\/s41598-024-62806-5","volume":"14","author":"H Okazawa","year":"2024","unstructured":"Okazawa H, Nogami M, Ishida S, Makino A, Mori T, Kiyono Y, et al. PET\/MRI multimodality imaging to evaluate changes in glymphatic system function and biomarkers of Alzheimer\u2019s disease. Sci Rep. 2024;14:12310. https:\/\/doi.org\/10.1038\/s41598-024-62806-5.","journal-title":"Sci Rep"},{"key":"2062_CR36","doi-asserted-by":"publisher","first-page":"738971","DOI":"10.3389\/fnagi.2021.738971","volume":"13","author":"H Liu","year":"2021","unstructured":"Liu H, Zhang D, Lin H, Zhang Q, Zheng L, Zheng Y, et al. Meta-analysis of neurochemical changes estimated via magnetic resonance spectroscopy in mild cognitive impairment and Alzheimer\u2019s disease. Front Aging Neurosci. 2021;13:738971. https:\/\/doi.org\/10.3389\/fnagi.2021.738971.","journal-title":"Front Aging Neurosci"},{"key":"2062_CR37","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1089\/brain.2022.0050","volume":"13","author":"MM DeMayo","year":"2023","unstructured":"DeMayo MM, Lv J, Duffy SL, D\u2019Souza A, Mowszowski L, Naismith SL, et al. Hippocampal neuronal integrity and functional connectivity within the default mode network in mild cognitive impairment: a multimodal investigation. Brain Connect. 2023;13:143\u201353. https:\/\/doi.org\/10.1089\/brain.2022.0050.","journal-title":"Brain Connect"},{"key":"2062_CR38","doi-asserted-by":"publisher","first-page":"617611","DOI":"10.3389\/fnagi.2021.617611","volume":"13","author":"L Zhao","year":"2021","unstructured":"Zhao L, Teng J, Mai W, Su J, Yu B, Nong X, et al. A pilot study on the cutoff value of related brain metabolite in Chinese elderly patients with mild cognitive impairment using MRS. Front Aging Neurosci. 2021;13:617611. https:\/\/doi.org\/10.3389\/fnagi.2021.617611.","journal-title":"Front Aging Neurosci"},{"key":"2062_CR39","doi-asserted-by":"publisher","first-page":"fcac072","DOI":"10.1093\/braincomms\/fcac072","volume":"4","author":"CF Fowler","year":"2022","unstructured":"Fowler CF, Goerzen D, Devenyi GA, Madularu D, Chakravarty MM, Near J. Neurochemical and cognitive changes precede structural abnormalities in the TgF344-AD rat model. Brain Commun. 2022;4:fcac072. https:\/\/doi.org\/10.1093\/braincomms\/fcac072.","journal-title":"Brain Commun"},{"key":"2062_CR40","doi-asserted-by":"publisher","first-page":"e71229","DOI":"10.1002\/alz.71229","volume":"22","author":"Y Zhang","year":"2026","unstructured":"Zhang Y, Qian X, Zhuang H, Zhang W, Hu J, Zhao Y, et al. Dual association patterns between microglial activation and neuronal health in Alzheimer\u2019s disease: a whole-brain MRSI\/PET study. Alzheimers Dement. 2026;22:e71229. https:\/\/doi.org\/10.1002\/alz.71229.","journal-title":"Alzheimers Dement"},{"key":"2062_CR41","doi-asserted-by":"publisher","unstructured":"Noche J, Vanderlip C, Wright S, Sordo L, Head E, Stark C. Myo-inositol and total NAA in the hippocampus are linked to CSF tau pathology in cognitively normal older adults. Neuroscience; 2024. https:\/\/doi.org\/10.1101\/2024.08.09.607353","DOI":"10.1101\/2024.08.09.607353"},{"key":"2062_CR42","doi-asserted-by":"publisher","first-page":"10064","DOI":"10.3390\/ijms251810064","volume":"25","author":"F Kara","year":"2024","unstructured":"Kara F, Kantarci K. Understanding proton magnetic resonance spectroscopy neurochemical changes using Alzheimer\u2019s disease biofluid, PET, postmortem pathology biomarkers, and APOE genotype. Int J Mol Sci. 2024;25:10064. https:\/\/doi.org\/10.3390\/ijms251810064.","journal-title":"Int J Mol Sci"},{"key":"2062_CR43","doi-asserted-by":"publisher","first-page":"1156","DOI":"10.3760\/cma.j.issn.0376-2491.2019.15.008","volume":"99","author":"XQ Zhu","year":"2019","unstructured":"Zhu XQ, Zhou X, Zhao W, Zhang YM, Liu FJ, Cao J, et al. Effect of apolipoprotein E genotype on magnetic resonance spectrum in amnestic mild cognitive impairment and Alzheimer\u2019s disease patients. Zhonghua Yi Xue Za Zhi. 2019;99:1156. https:\/\/doi.org\/10.3760\/cma.j.issn.0376-2491.2019.15.008.","journal-title":"Zhonghua Yi Xue Za Zhi"},{"key":"2062_CR44","doi-asserted-by":"publisher","unstructured":"Wong D, Atiya S, Fogarty J, Montero-Odasso M, Pasternak SH, Brymer C et al. Reduced hippocampal glutamate and posterior cingulate N-Acetyl aspartate in mild cognitive impairment and Alzheimer\u2019s disease is associated with episodic memory performance and white matter integrity in the cingulum: a pilot study. Hornberger M, editor. J Alzheimer\u2019s Dis. 2020;73:1385\u2013405. https:\/\/doi.org\/10.3233\/JAD-190773","DOI":"10.3233\/JAD-190773"},{"key":"2062_CR45","doi-asserted-by":"publisher","unstructured":"Shahid SS, Dzemidzic M, Butch ER, Jarvis EE, Snyder SE, Wu Y-C. Estimating the synaptic density deficit in Alzheimer\u2019s disease using multi-contrast CEST imaging. Hum YC, editor. PLoS ONE. 2024;19:e0299961. https:\/\/doi.org\/10.1371\/journal.pone.0299961","DOI":"10.1371\/journal.pone.0299961"},{"key":"2062_CR46","doi-asserted-by":"publisher","first-page":"1139","DOI":"10.3233\/JAD-215032","volume":"84","author":"D Shukla","year":"2021","unstructured":"Shukla D, Mandal PK, Mishra R, Punjabi K, Dwivedi D, Tripathi M, et al. Hippocampal glutathione depletion and pH increment in Alzheimer\u2019s disease: an in vivo MRS study. J Alzheimers Dis. 2021;84:1139\u201352. https:\/\/doi.org\/10.3233\/JAD-215032.","journal-title":"J Alzheimers Dis"},{"key":"2062_CR47","doi-asserted-by":"publisher","first-page":"103904","DOI":"10.1016\/j.nicl.2025.103904","volume":"48","author":"S Zhao","year":"2025","unstructured":"Zhao S, Dong Y, Jiang B, Bai Y, Wei W, Wu Y, et al. Cerebral phosphorus metabolite as imaging biomarkers in Alzheimer\u2019s disease: a 31P magnetic resonance spectroscopy study. NeuroImage Clin. 2025;48:103904. https:\/\/doi.org\/10.1016\/j.nicl.2025.103904.","journal-title":"NeuroImage Clin"},{"key":"2062_CR48","doi-asserted-by":"publisher","first-page":"1834","DOI":"10.1002\/mrm.30006","volume":"91","author":"B Berkin Bilgic, Bilgic","year":"2024","unstructured":"Berkin Bilgic, Bilgic B, Costagli M, Chan K, Duyn J, Langkammer C, et al. Recommended implementation of quantitative susceptibility mapping for clinical research in the brain: a consensus of the ISMRM electro-magnetic tissue properties study group. Magn Reson Med. 2024;91:1834\u201362. https:\/\/doi.org\/10.1002\/mrm.30006.","journal-title":"Magn Reson Med"},{"key":"2062_CR49","doi-asserted-by":"publisher","first-page":"679","DOI":"10.3233\/JAD-140396","volume":"42","author":"Y Tao","year":"2014","unstructured":"Tao Y, Wang Y, Rogers JT, Wang F. Perturbed iron distribution in Alzheimer\u2019s disease serum, cerebrospinal fluid, and selected brain regions: a systematic review and meta-analysis. J Alzheimers Dis. 2014;42:679\u201390. https:\/\/doi.org\/10.3233\/JAD-140396.","journal-title":"J Alzheimers Dis"},{"key":"2062_CR50","doi-asserted-by":"publisher","first-page":"606","DOI":"10.1111\/bpa.12704","volume":"29","author":"A McIntosh","year":"2019","unstructured":"McIntosh A, Mela V, Harty C, Minogue AM, Costello DA, Kerskens C, et al. Iron accumulation in microglia triggers a cascade of events that leads to altered metabolism and compromised function in APP\/PS1 mice. Brain Pathol. 2019;29:606\u201321. https:\/\/doi.org\/10.1111\/bpa.12704.","journal-title":"Brain Pathol"},{"key":"2062_CR51","doi-asserted-by":"publisher","first-page":"525","DOI":"10.3233\/ADR-200234","volume":"4","author":"SJ Madsen","year":"2020","unstructured":"Madsen SJ, DiGiacomo PS, Zeng Y, Goubran M, Chen Y, Rutt BK, et al. Correlative microscopy to localize and characterize iron deposition in Alzheimer\u2019s disease. J Alzheimers Dis Rep. 2020;4:525\u201336. https:\/\/doi.org\/10.3233\/ADR-200234.","journal-title":"J Alzheimers Dis Rep"},{"key":"2062_CR52","doi-asserted-by":"publisher","first-page":"938092","DOI":"10.3389\/fnins.2022.938092","volume":"16","author":"Y Uchida","year":"2022","unstructured":"Uchida Y, Kan H, Sakurai K, Oishi K, Matsukawa N. Quantitative susceptibility mapping as an imaging biomarker for Alzheimer\u2019s disease: the expectations and limitations. Front Neurosci. 2022;16:938092. https:\/\/doi.org\/10.3389\/fnins.2022.938092.","journal-title":"Front Neurosci"},{"issue":"8","key":"2062_CR53","doi-asserted-by":"publisher","first-page":"2112","DOI":"10.1093\/brain\/awx137","volume":"140","author":"S Ayton","year":"2017","unstructured":"Ayton S, Fazlollahi A, Bourgeat P, Raniga P, Ng A, Lim YY, et al. Cerebral quantitative susceptibility mapping predicts amyloid-\u03b2-related cognitive decline. Brain. 2017;140(8):2112\u20139. https:\/\/doi.org\/10.1093\/brain\/awx137.","journal-title":"Brain"},{"key":"2062_CR54","doi-asserted-by":"publisher","first-page":"353","DOI":"10.1148\/radiol.2020201603","volume":"298","author":"L Chen","year":"2021","unstructured":"Chen L, Soldan A, Oishi K, Faria A, Zhu Y, Albert M, et al. Quantitative susceptibility mapping of brain iron and \u03b2-Amyloid in MRI and PET relating to cognitive performance in cognitively normal older adults. Radiology. 2021;298:353\u201362. https:\/\/doi.org\/10.1148\/radiol.2020201603.","journal-title":"Radiology"},{"key":"2062_CR55","doi-asserted-by":"publisher","first-page":"149776","DOI":"10.1016\/j.brainres.2025.149776","volume":"1864","author":"G Khan","year":"2025","unstructured":"Khan G, Hussain MS, Khan Y, Fatima R, Ahmad S, Sultana A, et al. Ferroptosis and its contribution to cognitive impairment in Alzheimer\u2019s disease: mechanisms and therapeutic potential. Brain Res. 2025;1864:149776. https:\/\/doi.org\/10.1016\/j.brainres.2025.149776.","journal-title":"Brain Res"},{"key":"2062_CR56","doi-asserted-by":"publisher","first-page":"182","DOI":"10.1049\/nbt2.12113","volume":"17","author":"Y Shao","year":"2023","unstructured":"Shao Y, Xu Y, Di H, Shi X, Wang Y, Liu H, et al. The inhibition of ORMDL3 prevents Alzheimer\u2019s disease through ferroptosis by PERK\/ATF4\/HSPA5 pathway. IET Nanobiotechnol. 2023;17:182\u201396. https:\/\/doi.org\/10.1049\/nbt2.12113.","journal-title":"IET Nanobiotechnol"},{"key":"2062_CR57","doi-asserted-by":"publisher","first-page":"1823","DOI":"10.1002\/jmri.27464","volume":"53","author":"CKF Au","year":"2021","unstructured":"Au CKF, Abrigo J, Liu C, Liu W, Lee J, Au LWC, et al. Quantitative susceptibility mapping of the hippocampal fimbria in Alzheimer\u2019s disease. J Magn Reson Imaging. 2021;53:1823\u201332. https:\/\/doi.org\/10.1002\/jmri.27464.","journal-title":"J Magn Reson Imaging"},{"key":"2062_CR58","doi-asserted-by":"publisher","first-page":"121900","DOI":"10.1016\/j.neuroimage.2026.121900","volume":"332","author":"D Li","year":"2026","unstructured":"Li D, He J, Liu B, Zhu L, Yang Y, Peng Y, et al. Multimodal radiomics of precisely segmented hippocampal subfields: iron deposition and structural biomarkers for early diagnosis of Alzheimer\u2019s disease. NeuroImage. 2026;332:121900. https:\/\/doi.org\/10.1016\/j.neuroimage.2026.121900.","journal-title":"NeuroImage"},{"key":"2062_CR59","doi-asserted-by":"publisher","first-page":"428","DOI":"10.2174\/1567205017666200624204427","volume":"17","author":"H-G Kim","year":"2020","unstructured":"Kim H-G, Park S, Rhee HY, Lee KM, Ryu C-W, Lee SY, et al. Evaluation and prediction of early Alzheimer\u2019s disease using a machine learning-based optimized combination-feature set on gray matter volume and quantitative susceptibility mapping. Curr Alzheimer Res. 2020;17:428\u201337. https:\/\/doi.org\/10.2174\/1567205017666200624204427.","journal-title":"Curr Alzheimer Res"},{"key":"2062_CR60","doi-asserted-by":"publisher","first-page":"293","DOI":"10.1177\/13872877241300278","volume":"103","author":"H Shibata","year":"2025","unstructured":"Shibata H, Uchida Y, Kan H, Sakurai K, Madokoro Y, Iwano S, et al. Deep-learning assessment of hippocampal magnetic susceptibility in Alzheimer\u2019s disease. J Alzheimer\u2019s Dis. 2025;103:293\u2013304. https:\/\/doi.org\/10.1177\/13872877241300278.","journal-title":"J Alzheimer\u2019s Dis"},{"key":"2062_CR61","doi-asserted-by":"publisher","first-page":"254248232513943","DOI":"10.1177\/25424823251394399","volume":"9","author":"C Chiyanika","year":"2025","unstructured":"Chiyanika C, Chan NY, Liu W, Au LWC, Chen W, Liu C, et al. Comparative analysis of PET and multiparametric MRI biomarkers in Alzheimer\u2019s disease continuum cohort. J Alzheimers Dis Rep. 2025;9:25424823251394399. https:\/\/doi.org\/10.1177\/25424823251394399.","journal-title":"J Alzheimers Dis Rep"},{"key":"2062_CR62","doi-asserted-by":"publisher","first-page":"1139988","DOI":"10.3389\/fnins.2023.1139988","volume":"17","author":"B Sharma","year":"2023","unstructured":"Sharma B, Beaudin AE, Cox E, Saad F, Nelles K, Gee M, et al. Brain iron content in cerebral amyloid angiopathy using quantitative susceptibility mapping. Front Neurosci. 2023;17:1139988. https:\/\/doi.org\/10.3389\/fnins.2023.1139988.","journal-title":"Front Neurosci"},{"key":"2062_CR63","doi-asserted-by":"publisher","first-page":"imaga00467","DOI":"10.1162\/imag_a_00467","volume":"3","author":"J Joshi","year":"2025","unstructured":"Joshi J, Yao M, Kakazu A, Ouyang Y, Duan W, Aggarwal M. Distinguishing microgliosis and tau deposition in the mouse brain using paramagnetic and diamagnetic susceptibility source separation. Imaging Neurosci. 2025;3:imaga00467. https:\/\/doi.org\/10.1162\/imag_a_00467.","journal-title":"Imaging Neurosci"},{"key":"2062_CR64","doi-asserted-by":"publisher","first-page":"6984","DOI":"10.1002\/alz.14188","volume":"20","author":"J Yao","year":"2024","unstructured":"Yao J, Li Z, Zhou Z, Bao A, Wang Z, Wei H, et al. Distinct regional vulnerability to A\u03b2 and iron accumulation in post mortem AD brains. Alzheimers Dement. 2024;20:6984\u201397. https:\/\/doi.org\/10.1002\/alz.14188.","journal-title":"Alzheimers Dement"},{"key":"2062_CR65","doi-asserted-by":"publisher","first-page":"5260","DOI":"10.1002\/hbm.23732","volume":"38","author":"S Dolui","year":"2017","unstructured":"Dolui S, Vidorreta M, Wang Z, Nasrallah IM, Alavi A, Wolk DA, et al. Comparison of PASL, PCASL, and background-suppressed 3D PCASL in mild cognitive impairment. Hum Brain Mapp. 2017;38:5260\u201373. https:\/\/doi.org\/10.1002\/hbm.23732.","journal-title":"Hum Brain Mapp"},{"key":"2062_CR66","doi-asserted-by":"publisher","first-page":"931","DOI":"10.1002\/jmri.24246","volume":"39","author":"E Kilroy","year":"2014","unstructured":"Kilroy E, Apostolova L, Liu C, Yan L, Ringman J, Wang DJJ. Reliability of two-dimensional and three\u2010dimensional pseudo\u2010continuous arterial spin labeling perfusion MRI in elderly populations: comparison with 15o\u2010water positron emission tomography. J Magn Reson Imaging. 2014;39:931\u20139. https:\/\/doi.org\/10.1002\/jmri.24246.","journal-title":"J Magn Reson Imaging"},{"key":"2062_CR67","doi-asserted-by":"publisher","first-page":"e70035","DOI":"10.1111\/jon.70035","volume":"35","author":"C Bernetti","year":"2025","unstructured":"Bernetti C, D\u2019Andrea V, Buoso A, Barbalace I, Greco F, Pilato F, et al. Arterial spin labeling MRI in Alzheimer\u2019s disease: a systematic review of cerebral perfusion biomarkers. J Neuroimaging. 2025;35:e70035. https:\/\/doi.org\/10.1111\/jon.70035.","journal-title":"J Neuroimaging"},{"key":"2062_CR68","doi-asserted-by":"publisher","first-page":"974651","DOI":"10.3389\/fnins.2022.974651","volume":"16","author":"X Wang","year":"2022","unstructured":"Wang X, Wang D, Li X, Wang W, Gao P, Lou B, et al. A diagnostic index based on pseudo-continuous arterial spin labeling and T1-mapping improves efficacy in discriminating Alzheimer\u2019s disease from normal cognition. Front Neurosci. 2022;16:974651. https:\/\/doi.org\/10.3389\/fnins.2022.974651.","journal-title":"Front Neurosci"},{"key":"2062_CR69","doi-asserted-by":"publisher","first-page":"439","DOI":"10.3233\/JAD-200843","volume":"78","author":"D Li","year":"2020","unstructured":"Li D, Liu Y, Zeng X, Xiong Z, Yao Y, Liang D, et al. Quantitative study of the changes in cerebral blood flow and iron deposition during progression of Alzheimer\u2019s disease. J Alzheimers Dis. 2020;78:439\u201352. https:\/\/doi.org\/10.3233\/JAD-200843.","journal-title":"J Alzheimers Dis"},{"key":"2062_CR70","doi-asserted-by":"publisher","first-page":"961164","DOI":"10.3389\/fnins.2022.961164","volume":"16","author":"W Li","year":"2022","unstructured":"Li W, Jiang J, Zou X, Zhang Y, Sun M, Jia Z, et al. The characteristics of arterial spin labeling cerebral blood flow in patients with subjective cognitive decline: the Chinese imaging, biomarkers, and lifestyle study. Front Neurosci. 2022;16:961164. https:\/\/doi.org\/10.3389\/fnins.2022.961164.","journal-title":"Front Neurosci"},{"key":"2062_CR71","doi-asserted-by":"publisher","first-page":"2967","DOI":"10.3390\/diagnostics12122967","volume":"12","author":"EM Kapasouri","year":"2022","unstructured":"Kapasouri EM, Ioannidis DC, Cameron D, Vassiliou VS, Hornberger M. The utility of arterial spin labeling mri in medial temporal lobe as a vascular biomarker in Alzheimer\u2019s disease spectrum: a systematic review and meta-analysis. Diagnostics. 2022;12:2967. https:\/\/doi.org\/10.3390\/diagnostics12122967.","journal-title":"Diagnostics"},{"key":"2062_CR72","doi-asserted-by":"publisher","first-page":"39471","DOI":"10.1038\/srep39471","volume":"7","author":"L Maffei","year":"2017","unstructured":"Train the Brain Consortium, Maffei L, Picano E, Andreassi MG, Angelucci A, Baldacci F, et al. Randomized trial on the effects of a combined physical\/cognitive training in aged MCI subjects: the Train the Brain study. Sci Rep. 2017;7:39471. https:\/\/doi.org\/10.1038\/srep39471.","journal-title":"Sci Rep"},{"key":"2062_CR73","doi-asserted-by":"publisher","first-page":"1464159","DOI":"10.3389\/fpsyt.2024.1464159","volume":"15","author":"J Xu","year":"2024","unstructured":"Xu J, Yu J, Li G, Wang Y. Exercise intervention on the brain structure and function of patients with mild cognitive impairment: systematic review based on magnetic resonance imaging studies. Front Psychiatry. 2024;15:1464159. https:\/\/doi.org\/10.3389\/fpsyt.2024.1464159.","journal-title":"Front Psychiatry"},{"key":"2062_CR74","doi-asserted-by":"publisher","first-page":"388","DOI":"10.1016\/j.nicl.2016.03.002","volume":"11","author":"L Xie","year":"2016","unstructured":"Xie L, Dolui S, Das SR, Stockbower GE, Daffner M, Rao H, et al. A brain stress test: Cerebral perfusion during memory encoding in mild cognitive impairment. NeuroImage Clin. 2016;11:388\u201397. https:\/\/doi.org\/10.1016\/j.nicl.2016.03.002.","journal-title":"NeuroImage Clin"},{"key":"2062_CR75","doi-asserted-by":"publisher","unstructured":"Chappell MA, McConnell FAK, Golay X, G\u00fcnther M, Hernandez-Tamames JA, Van Osch MJ, et al. Partial volume correction in arterial spin labeling perfusion MRI: a method to disentangle anatomy from physiology or an analysis step too far? NeuroImage. 2021;238:118236. https:\/\/doi.org\/10.1016\/j.neuroimage.2021.118236.","DOI":"10.1016\/j.neuroimage.2021.118236"},{"key":"2062_CR76","doi-asserted-by":"publisher","first-page":"45","DOI":"10.2174\/1567205018666210324130502","volume":"18","author":"L Wang","year":"2021","unstructured":"Wang L, Feng Q, Wang M, Zhu T, Yu E, Niu J, et al. An effective brain imaging biomarker for AD and aMCI: ALFF in Slow-5 frequency band. Curr Alzheimer Res. 2021;18:45\u201355. https:\/\/doi.org\/10.2174\/1567205018666210324130502.","journal-title":"Curr Alzheimer Res"},{"key":"2062_CR77","doi-asserted-by":"publisher","first-page":"604246","DOI":"10.3389\/fnagi.2020.604246","volume":"12","author":"L Zhuang","year":"2020","unstructured":"Zhuang L, Ni H, Wang J, Liu X, Lin Y, Su Y, et al. Aggregation of vascular risk factors modulates the amplitude of low-frequency fluctuation in mild cognitive impairment patients. Front Aging Neurosci. 2020;12:604246. https:\/\/doi.org\/10.3389\/fnagi.2020.604246.","journal-title":"Front Aging Neurosci"},{"key":"2062_CR78","doi-asserted-by":"publisher","first-page":"4900","DOI":"10.1038\/s41467-019-12921-z","volume":"10","author":"TM Harrison","year":"2019","unstructured":"Harrison TM, Maass A, Adams JN, Du R, Baker SL, Jagust WJ. Tau deposition is associated with functional isolation of the hippocampus in aging. Nat Commun. 2019;10:4900. https:\/\/doi.org\/10.1038\/s41467-019-12921-z.","journal-title":"Nat Commun"},{"key":"2062_CR79","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1016\/j.neurobiolaging.2018.10.004","volume":"74","author":"S Delli Pizzi","year":"2019","unstructured":"Delli Pizzi S, Punzi M, Sensi SL. Functional signature of conversion of patients with mild cognitive impairment. Neurobiol Aging. 2019;74:21\u201337. https:\/\/doi.org\/10.1016\/j.neurobiolaging.2018.10.004.","journal-title":"Neurobiol Aging"},{"key":"2062_CR80","doi-asserted-by":"publisher","first-page":"391","DOI":"10.1002\/ana.26168","volume":"90","author":"S Dautricourt","year":"2021","unstructured":"Dautricourt S, De Flores R, Landeau B, Poisnel G, Vanhoutte M, Delcroix N, et al. Longitudinal changes in hippocampal network connectivity in Alzheimer\u2019s disease. Ann Neurol. 2021;90:391\u2013406. https:\/\/doi.org\/10.1002\/ana.26168.","journal-title":"Ann Neurol"},{"key":"2062_CR81","doi-asserted-by":"publisher","first-page":"2008","DOI":"10.1093\/brain\/awaf008","volume":"148","author":"L Chauveau","year":"2025","unstructured":"Chauveau L, Landeau B, Dautricourt S, Turpin A-L, Delarue M, H\u00e9bert O, et al. Anterior-temporal network hyperconnectivity is key to Alzheimer\u2019s disease: from ageing to dementia. Brain. 2025;148:2008\u201322. https:\/\/doi.org\/10.1093\/brain\/awaf008.","journal-title":"Brain"},{"key":"2062_CR82","doi-asserted-by":"publisher","first-page":"e70083","DOI":"10.1002\/hbm.70083","volume":"45","author":"J Ziontz","year":"2024","unstructured":"Ziontz J, Harrison TM, Fonseca C, Giorgio J, Han F, Lee J, et al. Connectivity, pathology, and ApoE4 interactions predict longitudinal tau spatial progression and memory. Hum Brain Mapp. 2024;45:e70083. https:\/\/doi.org\/10.1002\/hbm.70083.","journal-title":"Hum Brain Mapp"},{"key":"2062_CR83","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1055\/s-0044-1787761","volume":"82","author":"KC Usha","year":"2024","unstructured":"Usha KC, Suma HN, Appaji A. Regional-based static and dynamic alterations in Alzheimer disease: a longitudinal study. Arq Neuropsiquiatr. 2024;82:1\u201311. https:\/\/doi.org\/10.1055\/s-0044-1787761.","journal-title":"Arq Neuropsiquiatr"},{"key":"2062_CR84","doi-asserted-by":"publisher","first-page":"959394","DOI":"10.3389\/fnagi.2022.959394","volume":"14","author":"J Williamson","year":"2022","unstructured":"Williamson J, Yabluchanskiy A, Mukli P, Wu DH, Sonntag W, Ciro C, et al. Sex differences in brain functional connectivity of hippocampus in mild cognitive impairment. Front Aging Neurosci. 2022;14:959394. https:\/\/doi.org\/10.3389\/fnagi.2022.959394.","journal-title":"Front Aging Neurosci"},{"key":"2062_CR85","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1016\/j.neurobiolaging.2018.11.020","volume":"76","author":"M Wu","year":"2019","unstructured":"Wu M, Thurston RC, Tudorascu DL, Karim HT, Mathis CA, Lopresti BJ, et al. Amyloid deposition is associated with different patterns of hippocampal connectivity in men versus women. Neurobiol Aging. 2019;76:141\u201350. https:\/\/doi.org\/10.1016\/j.neurobiolaging.2018.11.020.","journal-title":"Neurobiol Aging"},{"key":"2062_CR86","doi-asserted-by":"publisher","first-page":"914","DOI":"10.1002\/alz.13503","volume":"20","author":"N Schweitzer","year":"2024","unstructured":"Schweitzer N, Li J, Thurston RC, Lopresti B, Klunk WE, Snitz B, et al. Sex-dependent alterations in hippocampal connectivity are linked to cerebrovascular and amyloid pathologies in normal aging. Alzheimers Dement. 2024;20:914\u201324. https:\/\/doi.org\/10.1002\/alz.13503.","journal-title":"Alzheimers Dement"},{"key":"2062_CR87","doi-asserted-by":"publisher","first-page":"563","DOI":"10.1007\/s11357-023-00943-x","volume":"46","author":"J Williamson","year":"2023","unstructured":"Williamson J, James SA, Mukli P, Yabluchanskiy A, Wu DH, Sonntag W, et al. Sex difference in brain functional connectivity of hippocampus in Alzheimer\u2019s disease. GeroScience. 2023;46:563\u201372. https:\/\/doi.org\/10.1007\/s11357-023-00943-x.","journal-title":"GeroScience"},{"key":"2062_CR88","doi-asserted-by":"publisher","first-page":"8433","DOI":"10.1038\/s41598-023-35316-z","volume":"13","author":"S H\u00e5glin","year":"2023","unstructured":"H\u00e5glin S, Koch E, Sch\u00e4fer Hackenhaar F, Nyberg L, Kauppi K. APOE \u025b4, but not polygenic Alzheimer\u2019s disease risk, is related to longitudinal decrease in hippocampal brain activity in non-demented individuals. Sci Rep. 2023;13:8433. https:\/\/doi.org\/10.1038\/s41598-023-35316-z.","journal-title":"Sci Rep"},{"key":"2062_CR89","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1016\/j.neurobiolaging.2025.04.005","volume":"151","author":"ER Paitel","year":"2025","unstructured":"Paitel ER, Pettigrew C, Moghekar A, Miller MI, Faria AV, Albert M, et al. Alzheimer\u2019s disease cerebrospinal fluid biomarker levels and APOE genetic status are associated with hippocampal-cerebellar functional connectivity. Neurobiol Aging. 2025;151:107\u201316. https:\/\/doi.org\/10.1016\/j.neurobiolaging.2025.04.005.","journal-title":"Neurobiol Aging"},{"key":"2062_CR90","doi-asserted-by":"publisher","first-page":"46","DOI":"10.1007\/s11682-026-01109-x","volume":"20","author":"T Ikuta","year":"2026","unstructured":"Ikuta T, Bither T, The Alzheimer\u2019s disease neuroimaging initiative. APOE \u03b54 carriage is associated with olfactory-hippocampal tract functional connectivity. Brain Imaging Behav. 2026;20:46. https:\/\/doi.org\/10.1007\/s11682-026-01109-x.","journal-title":"Brain Imaging Behav"},{"key":"2062_CR91","doi-asserted-by":"publisher","first-page":"101133","DOI":"10.1016\/j.arr.2020.101133","volume":"62","author":"IM McDonough","year":"2020","unstructured":"McDonough IM, Festini SB, Wood MM. Risk for Alzheimer\u2019s disease: a review of long-term episodic memory encoding and retrieval fMRI studies. Ageing Res Rev. 2020;62:101133. https:\/\/doi.org\/10.1016\/j.arr.2020.101133.","journal-title":"Ageing Res Rev"},{"key":"2062_CR92","doi-asserted-by":"publisher","first-page":"44","DOI":"10.1016\/j.neurobiolaging.2025.02.001","volume":"149","author":"A Albertazzi","year":"2025","unstructured":"Albertazzi A, Murphy C. Brain activation in older adults during odor identification is related to ApoE, t-tau\/A\u03b21\u201342, and hippocampal volume. Neurobiol Aging. 2025;149:44\u201353. https:\/\/doi.org\/10.1016\/j.neurobiolaging.2025.02.001.","journal-title":"Neurobiol Aging"},{"key":"2062_CR93","doi-asserted-by":"publisher","first-page":"e249220","DOI":"10.1001\/jamanetworkopen.2024.9220","volume":"7","author":"YH Jung","year":"2024","unstructured":"Jung YH, Jang H, Park S, Kim HJ, Seo SW, Kim GB, et al. Effectiveness of personalized hippocampal network\u2013targeted stimulation in Alzheimer disease: a randomized clinical trial. JAMA Netw Open. 2024;7:e249220. https:\/\/doi.org\/10.1001\/jamanetworkopen.2024.9220.","journal-title":"JAMA Netw Open"},{"key":"2062_CR94","doi-asserted-by":"publisher","first-page":"852882","DOI":"10.3389\/fnmol.2022.852882","volume":"15","author":"Z Lai","year":"2022","unstructured":"Lai Z, Zhang Q, Liang L, Wei Y, Duan G, Mai W, et al. Efficacy and mechanism of moxibustion treatment on mild cognitive impairment patients: an fMRI study using ALFF. Front Mol Neurosci. 2022;15:852882. https:\/\/doi.org\/10.3389\/fnmol.2022.852882.","journal-title":"Front Mol Neurosci"},{"key":"2062_CR95","doi-asserted-by":"publisher","first-page":"e241463","DOI":"10.1148\/radiol.241463","volume":"315","author":"T Wang","year":"2025","unstructured":"Wang T, Yan S, Shan Y, Xue H, Xing Y, Bi S, et al. Modulation of cortical and hippocampal functional MRI connectivity following transcranial alternating current stimulation in mild Alzheimer disease. Radiology. 2025;315:e241463. https:\/\/doi.org\/10.1148\/radiol.241463.","journal-title":"Radiology"},{"key":"2062_CR96","doi-asserted-by":"publisher","first-page":"102182","DOI":"10.1016\/j.nicl.2020.102182","volume":"25","author":"KM Broadhouse","year":"2020","unstructured":"Broadhouse KM, Singh MF, Suo C, Gates N, Wen W, Brodaty H, et al. Hippocampal plasticity underpins long-term cognitive gains from resistance exercise in MCI. NeuroImage Clin. 2020;25:102182. https:\/\/doi.org\/10.1016\/j.nicl.2020.102182.","journal-title":"NeuroImage Clin"},{"key":"2062_CR97","doi-asserted-by":"publisher","first-page":"1007436","DOI":"10.3389\/fnagi.2023.1007436","volume":"15","author":"Z Yin","year":"2023","unstructured":"Yin Z, Zhou J, Xia M, Chen Z, Li Y, Zhang X, et al. Acupuncture on mild cognitive impairment: a systematic review of neuroimaging studies. Front Aging Neurosci. 2023;15:1007436. https:\/\/doi.org\/10.3389\/fnagi.2023.1007436.","journal-title":"Front Aging Neurosci"},{"key":"2062_CR98","doi-asserted-by":"publisher","first-page":"1153","DOI":"10.3233\/JAD-200066","volume":"75","author":"P Wang","year":"2020","unstructured":"Wang P, Zhou B, Yao H, Xie S, Feng F, Zhang Z, et al. Aberrant hippocampal functional connectivity is associated with fornix white matter integrity in Alzheimer\u2019s disease and mild cognitive impairment. Yu J-T. editor J Alzheimer\u2019s Dis. 2020;75:1153\u201368. https:\/\/doi.org\/10.3233\/JAD-200066.","journal-title":"editor J Alzheimer\u2019s Dis"},{"key":"2062_CR99","doi-asserted-by":"publisher","first-page":"5310","DOI":"10.1111\/ejn.15399","volume":"54","author":"H Zhang","year":"2021","unstructured":"Zhang H, Chiu PW, Ip I, Liu T, Wong GHY, Song Y, et al. Asymmetric left\u2013right hippocampal glutamatergic modulation of cognitive control in ApoE-isoform subjects is unrelated to neuroinflammation. Eur J Neurosci. 2021;54:5310\u201326. https:\/\/doi.org\/10.1111\/ejn.15399.","journal-title":"Eur J Neurosci"},{"key":"2062_CR100","doi-asserted-by":"publisher","first-page":"6305","DOI":"10.1002\/alz.14123","volume":"20","author":"Y Sun","year":"2024","unstructured":"Sun Y, Wang P, Zhao K, Chen P, Qu Y, Li Z, et al. Structure\u2013function coupling reveals the brain hierarchical structure dysfunction in Alzheimer\u2019s disease: a multicenter study. Alzheimers Dement. 2024;20:6305\u201315. https:\/\/doi.org\/10.1002\/alz.14123.","journal-title":"Alzheimers Dement"},{"key":"2062_CR101","doi-asserted-by":"publisher","first-page":"120381","DOI":"10.1016\/j.neuroimage.2023.120381","volume":"282","author":"A Yang","year":"2023","unstructured":"Yang A, Zhuang H, Du L, Liu B, Lv K, Luan J, et al. Evaluation of whole-brain oxygen metabolism in Alzheimer\u2019s disease using QSM and quantitative BOLD. NeuroImage. 2023;282:120381. https:\/\/doi.org\/10.1016\/j.neuroimage.2023.120381.","journal-title":"NeuroImage"},{"key":"2062_CR102","doi-asserted-by":"publisher","first-page":"911220","DOI":"10.3389\/fnagi.2022.911220","volume":"14","author":"X Meng","year":"2022","unstructured":"Meng X, Liu J, Fan X, Bian C, Wei Q, Wang Z, et al. Multi-modal neuroimaging neural network-based feature detection for diagnosis of Alzheimer\u2019s disease. Front Aging Neurosci. 2022;14:911220. https:\/\/doi.org\/10.3389\/fnagi.2022.911220.","journal-title":"Front Aging Neurosci"},{"key":"2062_CR103","doi-asserted-by":"publisher","first-page":"fcac215","DOI":"10.1093\/braincomms\/fcac215","volume":"4","author":"PK Mandal","year":"2022","unstructured":"Mandal PK, Goel A, Bush AI, Punjabi K, Joon S, Mishra R, et al. Hippocampal glutathione depletion with enhanced iron level in patients with mild cognitive impairment and Alzheimer\u2019s disease compared with healthy elderly participants. Brain Commun. 2022;4:fcac215. https:\/\/doi.org\/10.1093\/braincomms\/fcac215.","journal-title":"Brain Commun"},{"key":"2062_CR104","doi-asserted-by":"publisher","first-page":"e14539","DOI":"10.1111\/cns.14539","volume":"30","author":"Z Chen","year":"2024","unstructured":"Chen Z, Bi S, Shan Y, Cui B, Yang H, Qi Z, et al. Multiparametric hippocampal signatures for early diagnosis of Alzheimer\u2019s disease using 18 F-FDG PET \/ MRI radiomics. CNS Neurosci Ther. 2024;30:e14539. https:\/\/doi.org\/10.1111\/cns.14539.","journal-title":"CNS Neurosci Ther"},{"key":"2062_CR105","doi-asserted-by":"publisher","first-page":"2285","DOI":"10.1007\/s00429-022-02521-x","volume":"227","author":"Y Jiang","year":"2022","unstructured":"Jiang Y, Wang P, Wen J, Wang J, Li H, Biswal BB. Hippocampus-based static functional connectivity mapping within white matter in mild cognitive impairment. Brain Struct Funct. 2022;227:2285\u201397. https:\/\/doi.org\/10.1007\/s00429-022-02521-x.","journal-title":"Brain Struct Funct"},{"key":"2062_CR106","doi-asserted-by":"publisher","first-page":"2717","DOI":"10.1002\/jcsm.13616","volume":"15","author":"X Zhou","year":"2024","unstructured":"Zhou X, Yin W, Huang C, Sun S, Li Z, Li M, et al. Distinctive gait variations and neuroimaging correlates in Alzheimer\u2019s disease and cerebral small vessel disease. J Cachexia Sarcopenia Muscle. 2024;15:2717\u201328. https:\/\/doi.org\/10.1002\/jcsm.13616.","journal-title":"J Cachexia Sarcopenia Muscle"},{"key":"2062_CR107","doi-asserted-by":"publisher","first-page":"108005","DOI":"10.1016\/j.isci.2023.108005","volume":"26","author":"H Xue","year":"2023","unstructured":"Xue H, Xu X, Yan Z, Cheng J, Zhang L, Zhu W, et al. Genome-wide association study of hippocampal blood-oxygen-level-dependent-cerebral blood flow correlation in Chinese Han population. iScience. 2023;26:108005. https:\/\/doi.org\/10.1016\/j.isci.2023.108005.","journal-title":"iScience"},{"key":"2062_CR108","doi-asserted-by":"publisher","first-page":"1483","DOI":"10.3233\/JAD-220603","volume":"91","author":"L Marin-Marin","year":"2023","unstructured":"Marin-Marin L, Mir\u00f3-Padilla A, Costumero V. Structural but not functional connectivity differences within default mode network indicate conversion to dementia. J Alzheimers Dis. 2023;91:1483\u201394. https:\/\/doi.org\/10.3233\/JAD-220603.","journal-title":"J Alzheimers Dis"},{"key":"2062_CR109","doi-asserted-by":"publisher","first-page":"1212275","DOI":"10.3389\/fnagi.2023.1212275","volume":"15","author":"Z Long","year":"2023","unstructured":"Long Z, Li J, Fan J, Li B, Du Y, Qiu S, et al. Identifying Alzheimer\u2019s disease and mild cognitive impairment with atlas-based multi-modal metrics. Front Aging Neurosci. 2023;15:1212275. https:\/\/doi.org\/10.3389\/fnagi.2023.1212275.","journal-title":"Front Aging Neurosci"}],"container-title":["Japanese Journal of Radiology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11604-026-02062-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11604-026-02062-x","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11604-026-02062-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,8,14]],"date-time":"2026-08-14T09:09:50Z","timestamp":1786698590000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11604-026-02062-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,8,14]]},"references-count":109,"alternative-id":["2062"],"URL":"https:\/\/doi.org\/10.1007\/s11604-026-02062-x","relation":{},"ISSN":["1867-1071","1867-108X"],"issn-type":[{"value":"1867-1071","type":"print"},{"value":"1867-108X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,8,14]]},"assertion":[{"value":"4 June 2026","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 July 2026","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 August 2026","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"The authors declare no competing interests that are relevant to the content of this article.","order":1,"name":"Ethics","label":"Conflict of interest","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"This article does not contain any studies with human participants or animals performed by any of the authors.","order":2,"name":"Ethics","label":"Ethics approval","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Not applicable.","order":3,"name":"Ethics","label":"Informed consent","group":{"name":"EthicsHeading","label":"Declarations"}}]}}