<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>11(1)</volume><submitter>Rosales Jubal E</submitter><funding>Stiftung Rheinland-Pfalz für Innovation</funding><funding>Boehringer Ingelheim Foundation</funding><funding>Focus Program Translational Neurosciences</funding><funding>Alfred Dollwet Foundation</funding><funding>Universitätsmedizin der Johannes Gutenberg-Universität Mainz</funding><pubmed_abstract>Aberrant 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.</pubmed_abstract><journal>Scientific reports</journal><pagination>6649</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC7988040</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Acitretin reverses early functional network degradation in a mouse model of familial Alzheimer's disease.</pubmed_title><pmcid>PMC7988040</pmcid><pubmed_authors>Wierczeiko A</pubmed_authors><pubmed_authors>Schmitt U</pubmed_authors><pubmed_authors>Dos Santos Guilherme M</pubmed_authors><pubmed_authors>Tose A</pubmed_authors><pubmed_authors>Endres K</pubmed_authors><pubmed_authors>Schuck F</pubmed_authors><pubmed_authors>Rosales Jubal E</pubmed_authors><pubmed_authors>Schmeisser MJ</pubmed_authors><pubmed_authors>Roesler MK</pubmed_authors><pubmed_authors>Reinhardt S</pubmed_authors><pubmed_authors>Ruffini N</pubmed_authors><pubmed_authors>Schwalm M</pubmed_authors><pubmed_authors>Barger Z</pubmed_authors><pubmed_authors>Stroh A</pubmed_authors></additional><is_claimable>false</is_claimable><name>Acitretin reverses early functional network degradation in a mouse model of familial Alzheimer's disease.</name><description>Aberrant 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.</description><dates><release>2021-01-01T00:00:00Z</release><publication>2021 Mar</publication><modification>2025-04-18T21:43:28.234Z</modification><creation>2025-04-07T09:34:14.593Z</creation></dates><accession>S-EPMC7988040</accession><cross_references><pubmed>33758244</pubmed><doi>10.1038/s41598-021-85912-0</doi></cross_references></HashMap>