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dc.contributor.authorCanter, Rebecca Gail
dc.contributor.authorHuang, Wen-Chin
dc.contributor.authorChoi, Heejin
dc.contributor.authorWang, Jun
dc.contributor.authorWatson, Lauren Ashley
dc.contributor.authorYao, Christine G
dc.contributor.authorAbdurrob, Fatema
dc.contributor.authorBousleiman, Stephanie M
dc.contributor.authorYoung, Jennie Zin-Ney
dc.contributor.authorBennett, David A.
dc.contributor.authorDelalle, Ivana
dc.contributor.authorChung, Kwanghun
dc.contributor.authorTsai, Li-Huei
dc.date.accessioned2021-11-30T21:33:20Z
dc.date.available2021-10-27T20:05:57Z
dc.date.available2021-11-30T21:33:20Z
dc.date.issued2019
dc.identifier.urihttps://hdl.handle.net/1721.1/134645.2
dc.description.abstract© 2019, The Author(s). Alzheimer’s disease (AD) is a progressive, neurodegenerative dementia with no cure. Prominent hypotheses suggest accumulation of beta-amyloid (Aβ) contributes to neurodegeneration and memory loss, however identifying brain regions with early susceptibility to Aβ remains elusive. Using SWITCH to immunolabel intact brain, we created a spatiotemporal map of Aβ deposition in the 5XFAD mouse. We report that subcortical memory structures show primary susceptibility to Aβ and that aggregates develop in increasingly complex networks with age. The densest early Aβ occurs in the mammillary body, septum, and subiculum- core regions of the Papez memory circuit. Previously, early mammillary body dysfunction in AD had not been established. We also show that Aβ in the mammillary body correlates with neuronal hyper-excitability and that modulation using a pharmacogenetic approach reduces Aβ deposition. Our data demonstrate large-tissue volume processing techniques can enhance biological discovery and suggest that subcortical susceptibility may underlie early brain alterations in AD.en_US
dc.language.isoen
dc.publisherSpringer Science and Business Media LLCen_US
dc.relation.isversionof10.1038/S42003-019-0599-8en_US
dc.rightsCreative Commons Attribution 4.0 International licenseen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceNatureen_US
dc.title3D mapping reveals network-specific amyloid progression and subcortical susceptibility in miceen_US
dc.typeArticleen_US
dc.contributor.departmentPicower Institute for Learning and Memoryen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Brain and Cognitive Sciencesen_US
dc.contributor.departmentMassachusetts Institute of Technology. Institute for Medical Engineering & Scienceen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Chemical Engineeringen_US
dc.relation.journalCommunications Biologyen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2021-06-08T18:10:23Z
dspace.orderedauthorsGail Canter, R; Huang, W-C; Choi, H; Wang, J; Ashley Watson, L; Yao, CG; Abdurrob, F; Bousleiman, SM; Young, JZ; Bennett, DA; Delalle, I; Chung, K; Tsai, L-Hen_US
dspace.date.submission2021-06-08T18:10:25Z
mit.journal.volume2en_US
mit.journal.issue1en_US
mit.licensePUBLISHER_CC
mit.metadata.statusPublication Information Neededen_US


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