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      Increased excitatory to inhibitory synaptic ratio in parietal cortex samples from individuals with Alzheimer’s disease

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          Abstract

          Synaptic disturbances in excitatory to inhibitory (E/I) balance in forebrain circuits are thought to contribute to the progression of Alzheimer’s disease (AD) and dementia, although direct evidence for such imbalance in humans is lacking. We assessed anatomical and electrophysiological synaptic E/I ratios in post-mortem parietal cortex samples from middle-aged individuals with AD (early-onset) or Down syndrome (DS) by fluorescence deconvolution tomography and microtransplantation of synaptic membranes. Both approaches revealed significantly elevated E/I ratios for AD, but not DS, versus controls. Gene expression studies in an independent AD cohort also demonstrated elevated E/I ratios in individuals with AD as compared to controls. These findings provide evidence of a marked pro-excitatory perturbation of synaptic E/I balance in AD parietal cortex, a region within the default mode network that is overly active in the disorder, and support the hypothesis that E/I imbalances disrupt cognition-related shifts in cortical activity which contribute to the intellectual decline in AD.

          Abstract

          Synaptic loss may disturb the excitatory to inhibitory balance (E/I ratio) in circuits vulnerable in Alzheimer’s disease (AD). The authors find reduced synaptic levels of PSD-95 and gephyrin and show that individuals with AD exhibit a pro-excitatory shift of postsynaptic densities and the electrophysiological synaptic E/I ratio in the parietal cortex.

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          Most cited references72

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          Metascape provides a biologist-oriented resource for the analysis of systems-level datasets

          A critical component in the interpretation of systems-level studies is the inference of enriched biological pathways and protein complexes contained within OMICs datasets. Successful analysis requires the integration of a broad set of current biological databases and the application of a robust analytical pipeline to produce readily interpretable results. Metascape is a web-based portal designed to provide a comprehensive gene list annotation and analysis resource for experimental biologists. In terms of design features, Metascape combines functional enrichment, interactome analysis, gene annotation, and membership search to leverage over 40 independent knowledgebases within one integrated portal. Additionally, it facilitates comparative analyses of datasets across multiple independent and orthogonal experiments. Metascape provides a significantly simplified user experience through a one-click Express Analysis interface to generate interpretable outputs. Taken together, Metascape is an effective and efficient tool for experimental biologists to comprehensively analyze and interpret OMICs-based studies in the big data era.
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            Clinical diagnosis of Alzheimer's disease: Report of the NINCDS-ADRDA Work Group* under the auspices of Department of Health and Human Services Task Force on Alzheimer's Disease

            Neurology, 34(7), 939-939
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              The brain's default network: anatomy, function, and relevance to disease.

              Thirty years of brain imaging research has converged to define the brain's default network-a novel and only recently appreciated brain system that participates in internal modes of cognition. Here we synthesize past observations to provide strong evidence that the default network is a specific, anatomically defined brain system preferentially active when individuals are not focused on the external environment. Analysis of connectional anatomy in the monkey supports the presence of an interconnected brain system. Providing insight into function, the default network is active when individuals are engaged in internally focused tasks including autobiographical memory retrieval, envisioning the future, and conceiving the perspectives of others. Probing the functional anatomy of the network in detail reveals that it is best understood as multiple interacting subsystems. The medial temporal lobe subsystem provides information from prior experiences in the form of memories and associations that are the building blocks of mental simulation. The medial prefrontal subsystem facilitates the flexible use of this information during the construction of self-relevant mental simulations. These two subsystems converge on important nodes of integration including the posterior cingulate cortex. The implications of these functional and anatomical observations are discussed in relation to possible adaptive roles of the default network for using past experiences to plan for the future, navigate social interactions, and maximize the utility of moments when we are not otherwise engaged by the external world. We conclude by discussing the relevance of the default network for understanding mental disorders including autism, schizophrenia, and Alzheimer's disease.
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                Author and article information

                Contributors
                jclauter@uci.edu
                aglimonr@utmb.edu
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                10 May 2021
                10 May 2021
                2021
                : 12
                : 2603
                Affiliations
                [1 ]GRID grid.266093.8, ISNI 0000 0001 0668 7243, Department of Anatomy and Neurobiology, , University of California at Irvine, ; Irvine, CA USA
                [2 ]GRID grid.176731.5, ISNI 0000 0001 1547 9964, Department of Neurology, Mitchell Center for Neurodegenerative Diseases. School of Medicine, , University of Texas Medical Branch at Galveston, ; Galveston, USA
                [3 ]GRID grid.416868.5, ISNI 0000 0004 0464 0574, National Institute of Mental Health, , Human Genetics Branch, ; Bethesda, MD USA
                [4 ]GRID grid.266093.8, ISNI 0000 0001 0668 7243, Department of Psychiatry & Human Behavior, , University of California at Irvine, ; Irvine, CA 92697 USA
                [5 ]GRID grid.34477.33, ISNI 0000000122986657, Department of Laboratory Medicine and Pathology, , University of Washington School of Medicine, ; Seattle, WA USA
                Author information
                http://orcid.org/0000-0002-8444-6151
                http://orcid.org/0000-0002-6323-4969
                http://orcid.org/0000-0002-7727-796X
                http://orcid.org/0000-0002-5291-1469
                http://orcid.org/0000-0002-6613-770X
                Article
                22742
                10.1038/s41467-021-22742-8
                8110554
                33972518
                33fb1110-1186-428e-a7d7-f9c9c7c1252a
                © The Author(s) 2021

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 27 September 2019
                : 24 March 2021
                Funding
                Funded by: FundRef https://doi.org/10.13039/100009633, U.S. Department of Health & Human Services | NIH | Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD);
                Award ID: HD079823
                Award Recipient :
                Funded by: This work was supported in part by the NIMH Intramural Research Program
                Funded by: Weill NeuroHub and the Nancy and Buster Alvord Endowment
                Funded by: FundRef https://doi.org/10.13039/100000049, U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging);
                Award ID: P50 Ag005136
                Award ID: AG053740
                Award Recipient :
                Funded by: U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging)
                Funded by: FundRef https://doi.org/10.13039/100000025, U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH);
                Award ID: MH113177
                Award Recipient :
                Funded by: the Amon G. Carter Foundation and Peterson-Coutin fund
                Categories
                Article
                Custom metadata
                © The Author(s) 2021

                Uncategorized
                voltage clamp,alzheimer's disease
                Uncategorized
                voltage clamp, alzheimer's disease

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