{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,10]],"date-time":"2026-10-10T15:01:11Z","timestamp":1791644471871,"version":"4.3.4"},"reference-count":50,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2023,9,25]],"date-time":"2023-09-25T00:00:00Z","timestamp":1695600000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,9,25]],"date-time":"2023-09-25T00:00:00Z","timestamp":1695600000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/100006937","name":"National Center for Medical Rehabilitation Research","doi-asserted-by":"publisher","award":["R01HD109157"],"award-info":[{"award-number":["R01HD109157"]}],"id":[{"id":"10.13039\/100006937","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000146","name":"Division of Chemical, Bioengineering, Environmental, and Transport Systems","doi-asserted-by":"publisher","award":["2236459"],"award-info":[{"award-number":["2236459"]}],"id":[{"id":"10.13039\/100000146","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000968","name":"American Heart Association","doi-asserted-by":"publisher","award":["932980"],"award-info":[{"award-number":["932980"]}],"id":[{"id":"10.13039\/100000968","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000968","name":"American Heart Association","doi-asserted-by":"publisher","award":["966924"],"award-info":[{"award-number":["966924"]}],"id":[{"id":"10.13039\/100000968","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000057","name":"National Institute of General Medical Sciences","doi-asserted-by":"publisher","award":["U54GM104938"],"award-info":[{"award-number":["U54GM104938"]}],"id":[{"id":"10.13039\/100000057","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000057","name":"National Institute of General Medical Sciences","doi-asserted-by":"publisher","award":["P20GM125528"],"award-info":[{"award-number":["P20GM125528"]}],"id":[{"id":"10.13039\/100000057","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000049","name":"National Institute on Aging","doi-asserted-by":"publisher","award":["T32AG052363"],"award-info":[{"award-number":["T32AG052363"]}],"id":[{"id":"10.13039\/100000049","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000049","name":"National Institute on Aging","doi-asserted-by":"publisher","award":["P30AG050911"],"award-info":[{"award-number":["P30AG050911"]}],"id":[{"id":"10.13039\/100000049","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["GeroScience"],"DOI":"10.1007\/s11357-023-00943-x","type":"journal-article","created":{"date-parts":[[2023,9,24]],"date-time":"2023-09-24T21:01:46Z","timestamp":1695589306000},"page":"563-572","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":30,"title":["Sex difference in brain functional connectivity of hippocampus in Alzheimer\u2019s disease"],"prefix":"10.1007","volume":"46","author":[{"given":"Jordan","family":"Williamson","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shirley A.","family":"James","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Peter","family":"Mukli","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andriy","family":"Yabluchanskiy","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dee H.","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"William","family":"Sonntag","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"name":"Alzheimer\u2019s Disease Neuroimaging Initiative Consortium","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2442-3713","authenticated-orcid":false,"given":"Yuan","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2023,9,25]]},"reference":[{"key":"943_CR1","unstructured":"National Institutes of Health. Alzheimer's Disease, In: Accelerating Medicines Partnership (AMP). 2021. https:\/\/www.nih.gov\/research-training\/accelerating-medicines-partnership-amp\/alzheimers-disease#:~:text=It%20is%20the%20most%20common,to%2013.8%20million%20by%202050."},{"issue":"4","key":"943_CR2","doi-asserted-by":"publisher","first-page":"700","DOI":"10.1002\/alz.12638","volume":"18","author":"J Gaugler","year":"2022","unstructured":"Gaugler J, et al. 2022 Alzheimer\u2019s disease facts and figures. Alzheimer\u2019s Dement. 2022;18(4):700\u201389.","journal-title":"Alzheimer's Dement."},{"issue":"10","key":"943_CR3","doi-asserted-by":"publisher","first-page":"729","DOI":"10.7326\/M15-0381","volume":"163","author":"AS Kelley","year":"2015","unstructured":"Kelley AS, et al. The burden of health care costs for patients with dementia in the last 5 years of life. Ann Intern Med. 2015;163(10):729\u201336.","journal-title":"Ann Intern Med"},{"issue":"12","key":"943_CR4","doi-asserted-by":"publisher","first-page":"683","DOI":"10.1016\/j.tics.2013.09.012","volume":"17","author":"MP van den Heuvel","year":"2013","unstructured":"van den Heuvel MP, Sporns O. Network hubs in the human brain. Trends Cogn Sci. 2013;17(12):683\u201396.","journal-title":"Trends Cogn Sci"},{"issue":"10","key":"943_CR5","doi-asserted-by":"publisher","first-page":"683","DOI":"10.1038\/nrn3801","volume":"15","author":"CJ Stam","year":"2014","unstructured":"Stam CJ. Modern network science of neurological disorders. Nat Rev Neurosci. 2014;15(10):683\u201395.","journal-title":"Nat Rev Neurosci"},{"issue":"5","key":"943_CR6","doi-asserted-by":"publisher","first-page":"1466","DOI":"10.1093\/brain\/awx050","volume":"140","author":"M Yu","year":"2017","unstructured":"Yu M, et al. Selective impairment of hippocampus and posterior hub areas in Alzheimer\u2019s disease: an MEG-based multiplex network study. Brain. 2017;140(5):1466\u201385.","journal-title":"Brain"},{"issue":"2","key":"943_CR7","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1089\/brain.2011.0043","volume":"2","author":"W de Haan","year":"2012","unstructured":"de Haan W, et al. Disruption of functional brain networks in Alzheimer\u2019s disease: what can we learn from graph spectral analysis of resting-state magnetoencephalography? Brain Connect. 2012;2(2):45\u201355.","journal-title":"Brain Connect"},{"issue":"4","key":"943_CR8","doi-asserted-by":"publisher","first-page":"654","DOI":"10.1017\/S1355617711000452","volume":"17","author":"RM Chapman","year":"2011","unstructured":"Chapman RM, et al. Women have farther to fall: gender differences between normal elderly and Alzheimer\u2019s disease in verbal memory engender better detection of Alzheimer\u2019s disease in women. J Int Neuropsychol Soc. 2011;17(4):654\u201362.","journal-title":"J Int Neuropsychol Soc"},{"key":"943_CR9","doi-asserted-by":"publisher","first-page":"213","DOI":"10.1007\/s11357-020-00304-y","volume":"43","author":"M Gumus","year":"2021","unstructured":"Gumus M, et al. Progression of neuropsychiatric symptoms in young-onset versus late-onset Alzheimer\u2019s disease. Geroscience. 2021;43:213\u201323.","journal-title":"Geroscience"},{"issue":"1","key":"943_CR10","doi-asserted-by":"publisher","first-page":"90","DOI":"10.1212\/WNL.44.1.90","volume":"44","author":"VW Henderson","year":"1994","unstructured":"Henderson VW, Buckwalter JG. Cognitive deficits of men and women with Alzheimer\u2019s disease. Neurology. 1994;44(1):90\u20136.","journal-title":"Neurology"},{"key":"943_CR11","doi-asserted-by":"crossref","unstructured":"Davis EJ, et al. A second X chromosome contributes to resilience in a mouse model of Alzheimer\u2019s disease. Sci Transl Med. 2020;12(558):eaaz5677.","DOI":"10.1126\/scitranslmed.aaz5677"},{"key":"943_CR12","first-page":"174550651881799","volume":"14","author":"MK Andrew","year":"2018","unstructured":"Andrew MK, Tierney MC. The puzzle of sex, gender and Alzheimer\u2019s disease: why are women more often affected than men? Womens Health. 2018;14:1745506518817995.","journal-title":"Womens Health"},{"issue":"11","key":"943_CR13","first-page":"14","volume":"35","author":"MM Mielke","year":"2018","unstructured":"Mielke MM. Sex and gender differences in Alzheimer\u2019s disease dementia. Psychiatr Times. 2018;35(11):14\u20137.","journal-title":"Psychiatr Times"},{"key":"943_CR14","doi-asserted-by":"crossref","unstructured":"Mielke MM, et al. Consideration of sex and gender in Alzheimer\u2019s disease and related disorders from a global perspective. Alzheimer\u2019s Dement. 2022;18(12):2707\u20132724.","DOI":"10.1002\/alz.12662"},{"issue":"3","key":"943_CR15","doi-asserted-by":"publisher","first-page":"1861","DOI":"10.1007\/s11357-022-00586-4","volume":"44","author":"EE Pearce","year":"2022","unstructured":"Pearce EE, et al. Telomere length and epigenetic clocks as markers of cellular aging: a comparative study. Geroscience. 2022;44(3):1861\u20139.","journal-title":"Geroscience"},{"key":"943_CR16","doi-asserted-by":"crossref","unstructured":"Sienski G, et al. APOE4 disrupts intracellular lipid homeostasis in human iPSC-derived glia. Sci Transl Med. 2021;13(583):eaaz4564.","DOI":"10.1126\/scitranslmed.aaz4564"},{"issue":"1","key":"943_CR17","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s13073-015-0232-5","volume":"7","author":"R Guerreiro","year":"2015","unstructured":"Guerreiro R, Bras J. The age factor in Alzheimer\u2019s disease. Genome Med. 2015;7(1):1\u20133.","journal-title":"Genome Med"},{"issue":"9","key":"943_CR18","doi-asserted-by":"publisher","first-page":"1193","DOI":"10.1016\/j.jalz.2018.04.010","volume":"14","author":"RF Buckley","year":"2018","unstructured":"Buckley RF, et al. Sex, amyloid, and APOE \u03b54 and risk of cognitive decline in preclinical Alzheimer\u2019s disease: findings from three well-characterized cohorts. Alzheimer\u2019s Dement. 2018;14(9):1193\u2013203.","journal-title":"Alzheimer\u2019s Dement"},{"issue":"1","key":"943_CR19","first-page":"e12211","volume":"13","author":"L Gao","year":"2021","unstructured":"Gao L, et al. Fractal motor activity regulation and sex differences in preclinical Alzheimer\u2019s disease pathology. Alzheimer\u2019s Dement. 2021;13(1):e12211.","journal-title":"Alzheimer\u2019s Dement"},{"key":"943_CR20","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1016\/j.neuroimage.2014.04.081","volume":"98","author":"V Heise","year":"2014","unstructured":"Heise V, et al. Apolipoprotein E genotype, gender and age modulate connectivity of the hippocampus in healthy adults. Neuroimage. 2014;98:23\u201330.","journal-title":"Neuroimage"},{"issue":"8","key":"943_CR21","doi-asserted-by":"publisher","first-page":"457","DOI":"10.1038\/s41582-018-0032-9","volume":"14","author":"MT Ferretti","year":"2018","unstructured":"Ferretti MT, et al. Sex differences in Alzheimer disease - the gateway to precision medicine. Nat Rev Neurol. 2018;14(8):457\u201369.","journal-title":"Nat Rev Neurol"},{"issue":"4","key":"943_CR22","doi-asserted-by":"publisher","first-page":"2319","DOI":"10.1007\/s11357-022-00588-2","volume":"44","author":"J Jiang","year":"2022","unstructured":"Jiang J, et al. Glucose metabolism patterns: a potential index to characterize brain ageing and predict high conversion risk into cognitive impairment. GeroScience. 2022;44(4):2319\u201336.","journal-title":"GeroScience"},{"issue":"2","key":"943_CR23","doi-asserted-by":"publisher","first-page":"140","DOI":"10.1080\/08952841.2018.1419476","volume":"31","author":"SL Burke","year":"2019","unstructured":"Burke SL, et al. Sex differences in the development of mild cognitive impairment and probable Alzheimer\u2019s disease as predicted by hippocampal volume or white matter hyperintensities. J Women Aging. 2019;31(2):140\u201364.","journal-title":"J Women Aging"},{"key":"943_CR24","doi-asserted-by":"publisher","first-page":"847","DOI":"10.3233\/JAD-150780","volume":"50","author":"BA Ardekani","year":"2016","unstructured":"Ardekani BA, Convit A, Bachman AH. Analysis of the MIRIAD data shows sex differences in hippocampal atrophy progression. Journal of Alzheimer\u2019s Disease. 2016;50:847\u201357.","journal-title":"Journal of Alzheimer\u2019s Disease"},{"issue":"9","key":"943_CR25","doi-asserted-by":"publisher","first-page":"1204","DOI":"10.1016\/j.jalz.2018.05.014","volume":"14","author":"E Cavedo","year":"2018","unstructured":"Cavedo E, et al. Sex differences in functional and molecular neuroimaging biomarkers of Alzheimer\u2019s disease in cognitively normal older adults with subjective memory complaints. Alzheimer\u2019s & Dementia. 2018;14(9):1204\u201315.","journal-title":"Alzheimer\u2019s & Dementia"},{"key":"943_CR26","doi-asserted-by":"crossref","unstructured":"Williamson J, et al. Sex differences in brain functional connectivity of hippocampus in mild cognitive impairment. Front Aging Neurosci. 2022;14:959394.","DOI":"10.3389\/fnagi.2022.959394"},{"issue":"4","key":"943_CR27","doi-asserted-by":"publisher","first-page":"869","DOI":"10.1016\/j.nic.2005.09.008","volume":"15","author":"SG Mueller","year":"2005","unstructured":"Mueller SG, et al. The Alzheimer\u2019s disease neuroimaging initiative. Neuroimaging Clinics. 2005;15(4):869\u201377.","journal-title":"Neuroimaging Clinics."},{"issue":"3","key":"943_CR28","doi-asserted-by":"publisher","first-page":"125","DOI":"10.1089\/brain.2012.0073","volume":"2","author":"S Whitfield-Gabriel","year":"2012","unstructured":"Whitfield-Gabriel S, Nieto-Castanon A. Conn: a functional connectivity toolbox for correlated and anticorrelated brain networks. Brain Connect. 2012;2(3):125\u201341.","journal-title":"Brain Connect."},{"issue":"2","key":"943_CR29","doi-asserted-by":"publisher","first-page":"782","DOI":"10.1016\/j.neuroimage.2011.09.015","volume":"62","author":"M Jenkinson","year":"2012","unstructured":"Jenkinson M, et al. Fsl. Neuroimage. 2012;62(2):782\u201390.","journal-title":"Neuroimage"},{"key":"943_CR30","doi-asserted-by":"publisher","first-page":"S208","DOI":"10.1016\/j.neuroimage.2004.07.051","volume":"23","author":"SM Smith","year":"2004","unstructured":"Smith SM, et al. Advances in functional and structural MR image analysis and implementation as FSL. Neuroimage. 2004;23:S208\u201319.","journal-title":"Neuroimage"},{"issue":"1 Suppl","key":"943_CR31","doi-asserted-by":"publisher","first-page":"S173","DOI":"10.1016\/j.neuroimage.2008.10.055","volume":"45","author":"MW Woolrich","year":"2009","unstructured":"Woolrich MW, et al. Bayesian analysis of neuroimaging data in FSL. Neuroimage. 2009;45(1 Suppl):S173\u201386.","journal-title":"Neuroimage"},{"issue":"1","key":"943_CR32","doi-asserted-by":"publisher","first-page":"273","DOI":"10.1006\/nimg.2001.0978","volume":"15","author":"N Tzourio-Mazoyer","year":"2002","unstructured":"Tzourio-Mazoyer N, et al. Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain. Neuroimage. 2002;15(1):273\u201389.","journal-title":"Neuroimage"},{"key":"943_CR33","doi-asserted-by":"crossref","unstructured":"Nieto-Castanon A. Handbook of functional connectivity magnetic resonance imaging methods in CONN. 1st ed. Boston: Hilbert Press; 2020.","DOI":"10.56441\/hilbertpress.2207.6598"},{"issue":"3","key":"943_CR34","doi-asserted-by":"publisher","first-page":"125","DOI":"10.1089\/brain.2012.0073","volume":"2","author":"S Whitfield-Gabrieli","year":"2012","unstructured":"Whitfield-Gabrieli S, Nieto-Castanon A. Conn: a functional connectivity toolbox for correlated and anticorrelated brain networks. Brain Connect. 2012;2(3):125\u201341.","journal-title":"Brain Connect"},{"issue":"1","key":"943_CR35","doi-asserted-by":"publisher","first-page":"58","DOI":"10.1002\/(SICI)1097-0193(1996)4:1<58::AID-HBM4>3.0.CO;2-O","volume":"4","author":"KJ Worsley","year":"1996","unstructured":"Worsley KJ, et al. A unified statistical approach for determining significant signals in images of cerebral activation. Hum Brain Mapp. 1996;4(1):58\u201373.","journal-title":"Hum Brain Mapp"},{"issue":"4","key":"943_CR36","doi-asserted-by":"publisher","first-page":"528","DOI":"10.1136\/jnnp.69.4.528","volume":"69","author":"SE Rose","year":"2000","unstructured":"Rose SE, et al. Loss of connectivity in Alzheimer\u2019s disease: an evaluation of white matter tract integrity with colour coded MR diffusion tensor imaging. J Neurol Neurosurg Psychiatry. 2000;69(4):528\u201330.","journal-title":"J Neurol Neurosurg Psychiatry"},{"key":"943_CR37","doi-asserted-by":"publisher","first-page":"79","DOI":"10.1023\/A:1023832305702","volume":"13","author":"X Delbeuck","year":"2003","unstructured":"Delbeuck X, Van der Linden M, Collette F. Alzheimer\u2019 disease as a disconnection syndrome? Neuropsychol Rev. 2003;13:79\u201392.","journal-title":"Neuropsychol Rev"},{"key":"943_CR38","unstructured":"Morrison J, et al. The laminar and regional distribution of somatostatin and neuritic disconnection syndrome. In: Scheibel AB, Wechsler AF, editors. The biological substrates of Alzheimer\u2019s disease. Orlando: Academic; 1986. pp 115\u2013131."},{"issue":"9","key":"943_CR39","doi-asserted-by":"publisher","first-page":"1307","DOI":"10.1016\/j.neuropsychologia.2004.12.007","volume":"43","author":"PA Reuter-Lorenz","year":"2005","unstructured":"Reuter-Lorenz PA, Mikels JA. A split-brain model of Alzheimer\u2019s disease?: Behavioral evidence for comparable intra and interhemispheric decline. Neuropsychologia. 2005;43(9):1307\u201317.","journal-title":"Neuropsychologia"},{"key":"943_CR40","doi-asserted-by":"publisher","first-page":"39","DOI":"10.3389\/fnagi.2019.00039","volume":"11","author":"FA Manno","year":"2019","unstructured":"Manno FA, et al. Early stage alterations in white matter and decreased functional interhemispheric hippocampal connectivity in the 3xTg mouse model of Alzheimer\u2019s disease. Front Aging Neurosci. 2019;11:39.","journal-title":"Front Aging Neurosci"},{"issue":"5","key":"943_CR41","doi-asserted-by":"publisher","first-page":"e0126310","DOI":"10.1371\/journal.pone.0126310","volume":"10","author":"Z Wang","year":"2015","unstructured":"Wang Z, et al. Interhemispheric functional and structural disconnection in Alzheimer\u2019s disease: a combined resting-state fMRI and DTI study. PLoS One. 2015;10(5):e0126310.","journal-title":"PLoS ONE"},{"key":"943_CR42","first-page":"283","volume":"2020","author":"I Aganj","year":"2020","unstructured":"Aganj I, et al. Compensatory brain connection discovery in alzheimer\u2019s disease. Proc IEEE Int Symp Biomed Imaging. 2020;2020:283\u20137.","journal-title":"Proc IEEE Int Symp Biomed Imaging"},{"key":"943_CR43","doi-asserted-by":"publisher","first-page":"457","DOI":"10.3233\/JAD-142547","volume":"45","author":"S Gardini","year":"2015","unstructured":"Gardini S, et al. Increased functional connectivity in the default mode network in mild cognitive impairment: a maladaptive compensatory mechanism associated with poor semantic memory performance. J Alzheimer\u2019s Dis. 2015;45:457\u201370.","journal-title":"J Alzheimer\u2019s Dis"},{"issue":"11","key":"943_CR44","doi-asserted-by":"publisher","first-page":"1054","DOI":"10.1212\/WNL.0000000000003711","volume":"88","author":"N Franzmeier","year":"2017","unstructured":"Franzmeier N, et al. Left frontal cortex connectivity underlies cognitive reserve in prodromal Alzheimer disease. Neurology. 2017;88(11):1054\u201361.","journal-title":"Neurology"},{"key":"943_CR45","doi-asserted-by":"publisher","first-page":"517","DOI":"10.3233\/JAD-2012-120223","volume":"31","author":"L Rami","year":"2012","unstructured":"Rami L, et al. Distinct functional activity of the precuneus and posterior cingulate cortex during encoding in the preclinical stage of Alzheimer\u2019s disease. J Alzheimer\u2019s Dis. 2012;31:517\u201326.","journal-title":"J Alzheimer\u2019s Dis"},{"issue":"7628","key":"943_CR46","doi-asserted-by":"publisher","first-page":"187","DOI":"10.1038\/nature20412","volume":"539","author":"RG Canter","year":"2016","unstructured":"Canter RG, Penney J, Tsai L-H. The road to restoring neural circuits for the treatment of Alzheimer\u2019s disease. Nature. 2016;539(7628):187\u201396.","journal-title":"Nature"},{"issue":"2","key":"943_CR47","doi-asserted-by":"publisher","first-page":"371","DOI":"10.1002\/ana.26514","volume":"93","author":"EP Casula","year":"2022","unstructured":"Casula EP, et al. Regional precuneus cortical hyperexcitability in Alzheimer\u2019s disease patients. Ann Neurol. 2022;93(2):371\u201383.","journal-title":"Ann Neurol."},{"key":"943_CR48","doi-asserted-by":"publisher","first-page":"302","DOI":"10.1016\/j.neuroimage.2017.12.048","volume":"169","author":"G Koch","year":"2018","unstructured":"Koch G, et al. Transcranial magnetic stimulation of the precuneus enhances memory and neural activity in prodromal Alzheimer\u2019s disease. Neuroimage. 2018;169:302\u201311.","journal-title":"Neuroimage"},{"key":"943_CR49","doi-asserted-by":"crossref","unstructured":"Nasa A, et al. The human dorsal hippocampal commissure: delineating connections across the midline using multi-modal neuroimaging in major depressive disorder. Neuroimage: Rep. 2021;1(4):100062.","DOI":"10.1016\/j.ynirp.2021.100062"},{"issue":"3","key":"943_CR50","doi-asserted-by":"publisher","first-page":"1001","DOI":"10.1093\/cercor\/bhz143","volume":"30","author":"M Postans","year":"2019","unstructured":"Postans M, et al. Uncovering a role for the dorsal hippocampal commissure in recognition memory. Cereb Cortex. 2019;30(3):1001\u201315.","journal-title":"Cereb Cortex"}],"container-title":["GeroScience"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11357-023-00943-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11357-023-00943-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11357-023-00943-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,30]],"date-time":"2024-01-30T04:22:54Z","timestamp":1706588574000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11357-023-00943-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9,25]]},"references-count":50,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2024,2]]}},"alternative-id":["943"],"URL":"https:\/\/doi.org\/10.1007\/s11357-023-00943-x","relation":{},"ISSN":["2509-2723"],"issn-type":[{"value":"2509-2723","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,9,25]]},"assertion":[{"value":"5 May 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 September 2023","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"25 September 2023","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The institutional review boards of all participating ADNI sites reviewed and approved the data collection protocols provided by ADNI.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}},{"value":"The authors declare no competing interests.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}]}}