Please use this identifier to cite or link to this item: http://doi.org/10.25358/openscience-6354
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dc.contributor.authorRosales Jubal, Eduardo-
dc.contributor.authorSchwalm, Miriam-
dc.contributor.authorSantos Guilherme, Malena dos-
dc.contributor.authorSchuck, Florian-
dc.contributor.authorReinhardt, Sven-
dc.contributor.authorTose, Amanda-
dc.contributor.authorBarger, Zeke-
dc.contributor.authorRoesler, Mona K.-
dc.contributor.authorRuffini, Nicolas-
dc.contributor.authorWierczeiko, Anna-
dc.contributor.authorSchmeisser, Michael J.-
dc.contributor.authorSchmitt, Ulrich-
dc.contributor.authorEndres, Kristina-
dc.contributor.authorStroh, Albrecht-
dc.date.accessioned2021-09-20T09:08:32Z-
dc.date.available2021-09-20T09:08:32Z-
dc.date.issued2021-
dc.identifier.urihttps://openscience.ub.uni-mainz.de/handle/20.500.12030/6364-
dc.description.abstractAberrant activity of local functional networks underlies memory and cognition deficits in Alzheimer’s disease (AD). Hyperactivity was observed in microcircuits of mice AD-models showing plaques, and also recently in early stage AD mutants prior to amyloid deposition. However, early functional effects of AD on cortical microcircuits remain unresolved. Using two-photon calcium imaging, we found altered temporal distributions (burstiness) in the spontaneous activity of layer II/III visual cortex neurons, in a mouse model of familial Alzheimer’s disease (5xFAD), before plaque formation. Graph theory (GT) measures revealed a distinct network topology of 5xFAD microcircuits, as compared to healthy controls, suggesting degradation of parameters related to network robustness. After treatment with acitretin, we observed a re-balancing of those network measures in 5xFAD mice; particularly in the mean degree distribution, related to network development and resilience, and post-treatment values resembled those of age-matched controls. Further, behavioral deficits, and the increase of excitatory synapse numbers in layer II/III were reversed after treatment. GT is widely applied for whole-brain network analysis in human neuroimaging, we here demonstrate the translational value of GT as a multi-level tool, to probe networks at different levels in order to assess treatments, explore mechanisms, and contribute to early diagnosis.en_GB
dc.language.isoengde
dc.rightsCC BY*
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/*
dc.subject.ddc610 Medizinde_DE
dc.subject.ddc610 Medical sciencesen_GB
dc.titleAcitretin reverses early functional network degradation in a mouse model of familial Alzheimer’s diseaseen_GB
dc.typeZeitschriftenaufsatzde
dc.identifier.doihttp://doi.org/10.25358/openscience-6354-
jgu.type.dinitypearticleen_GB
jgu.type.versionPublished versionde
jgu.type.resourceTextde
jgu.organisation.departmentFB 04 Medizinde
jgu.organisation.number2700-
jgu.organisation.nameJohannes Gutenberg-Universität Mainz-
jgu.rights.accessrightsopenAccess-
jgu.journal.titleScientific reportsde
jgu.journal.volume11de
jgu.pages.alternative6649de
jgu.publisher.year2021-
jgu.publisher.nameMacmillan Publishers Limited, part of Springer Naturede
jgu.publisher.placeLondonde
jgu.publisher.urihttps://doi.org/10.1038/s41598-021-85912-0de
jgu.publisher.issn2045-2322de
jgu.organisation.placeMainz-
jgu.subject.ddccode610de
jgu.publisher.doi10.1038/s41598-021-85912-0
jgu.organisation.rorhttps://ror.org/023b0x485
Appears in collections:JGU-Publikationen

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