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      Gamma frequency entrainment attenuates amyloid load and modifies microglia

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          Abstract

          Changes in gamma oscillations (20-50 Hz) have been observed in several neurological disorders. However, the relationship between gamma and cellular pathologies is unclear. Here, we show reduced behaviorally-driven gamma before the onset of plaque formation or cognitive decline in a mouse model of Alzheimer's disease (AD). Optogenetically driving FS-PV-interneurons at gamma (40 Hz), but not other frequencies, reduced levels of amyloid- β (A β) 1-40 and A β 1-42 isoforms. Gene expression profiling revealed induction of genes associated with morphological transformation of microglia and histological analysis confirmed increased microglia co-localization with A β. Subsequently, we designed a non-invasive 40 Hz light-flickering paradigm that reduced A β 1-40 and A β 1-42 levels in visual cortex of pre-depositing mice and mitigated plaque load in aged, depositing mice. Our findings uncover a previously unappreciated function of gamma rhythms in recruiting both neuronal and glial responses to attenuate AD-associated pathology.

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          Most cited references15

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          Theta oscillations in the hippocampus.

          Theta oscillations represent the "on-line" state of the hippocampus. The extracellular currents underlying theta waves are generated mainly by the entorhinal input, CA3 (Schaffer) collaterals, and voltage-dependent Ca(2+) currents in pyramidal cell dendrites. The rhythm is believed to be critical for temporal coding/decoding of active neuronal ensembles and the modification of synaptic weights. Nevertheless, numerous critical issues regarding both the generation of theta oscillations and their functional significance remain challenges for future research.
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            Synaptic mechanisms of synchronized gamma oscillations in inhibitory interneuron networks.

            Gamma frequency oscillations are thought to provide a temporal structure for information processing in the brain. They contribute to cognitive functions, such as memory formation and sensory processing, and are disturbed in some psychiatric disorders. Fast-spiking, parvalbumin-expressing, soma-inhibiting interneurons have a key role in the generation of these oscillations. Experimental analysis in the hippocampus and the neocortex reveals that synapses among these interneurons are highly specialized. Computational analysis further suggests that synaptic specialization turns interneuron networks into robust gamma frequency oscillators.
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              Hippocampal replay in the awake state: a potential substrate for memory consolidation and retrieval.

              The hippocampus is required for the encoding, consolidation and retrieval of event memories. Although the neural mechanisms that underlie these processes are only partially understood, a series of recent papers point to awake memory replay as a potential contributor to both consolidation and retrieval. Replay is the sequential reactivation of hippocampal place cells that represent previously experienced behavioral trajectories and occurs frequently in the awake state, particularly during periods of relative immobility. Awake replay may reflect trajectories through either the current environment or previously visited environments that are spatially remote. The repetition of learned sequences on a compressed time scale is well suited to promote memory consolidation in distributed circuits beyond the hippocampus, suggesting that consolidation occurs in both the awake and sleeping animal. Moreover, sensory information can influence the content of awake replay, suggesting a role for awake replay in memory retrieval.
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                Author and article information

                Journal
                0410462
                6011
                Nature
                Nature
                Nature
                0028-0836
                1476-4687
                21 June 2017
                07 December 2016
                25 October 2017
                : 540
                : 7632
                : 230-235
                Affiliations
                [1 ]Picower Institute for Learning and Memory
                [2 ]McGovern Institute for Brain Research
                [3 ]Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology
                [4 ]MIT Media Lab, Departments of Biological Engineering and Brain and Cognitive Sciences, Massachusetts Institute of Technology
                [5 ]Institute of Medical Engineering and Sciences, Massachusetts Institute of Technology, Cambridge, USA
                [6 ]Massachusetts General Hospital, Boston
                [7 ]Broad Institute of Harvard and MIT, Cambridge, USA
                Author notes
                Correspondence and requests for materials should be addressed to lhtsai@ 123456mit.edu
                [*]

                These authors contributed equally to this work.

                [+]

                Present address: Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Emory University, Atlanta

                [&]

                Present address: Department of Biology, The City College of New York, New York

                Article
                PMC5656389 PMC5656389 5656389 nihpa886326
                10.1038/nature20587
                5656389
                27929004
                a1a39fd5-b037-4c5a-9961-6b9f268579dc

                Reprints and permissions information are available at www.nature.com/reprints.

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