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      Enhancement of Mediodorsal Thalamus Rescues Aberrant Belief Dynamics in a Novel Mouse Model for Schizophrenia

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          Abstract

          Optimizing behavioral strategy requires belief updating based on new evidence, a process that engages higher cognition. In schizophrenia, aberrant belief dynamics may lead to psychosis, but the mechanisms underlying this process are unknown, in part, due to lack of appropriate animal models and behavior readouts. Here, we address this challenge by taking two synergistic approaches. First, we generate a mouse model bearing point mutation in Grin2a ( Grin2a Y700X+/− ), a gene that confers high-risk for schizophrenia and was recently identified by large-scale exome sequencing. Second, we develop a computationally-trackable foraging task, in which mice form and update belief-driven strategies in a dynamic environment. We found that Grin2a Y700X+/− mice perform less optimally than their wild-type (WT) littermates, showing unstable behavioral states and a slower belief update rate. Using functional ultrasound imaging, we identified the mediodorsal (MD) thalamus as hypofunctional in Grin2a Y700X+/− mice, and in vivo task recordings showed that MD neurons encoded dynamic values and behavioral states in WT mice. Optogenetic inhibition of MD neurons in WT mice phenocopied Grin2a Y700X+/− mice, and enhancing MD activity rescued task deficits in Grin2a Y700X+/− mice. Together, our study identifies the MD thalamus as a key node for schizophrenia-relevant cognitive dysfunction, and a potential target for future therapeutics.

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          Neocortical excitation/inhibition balance in information processing and social dysfunction.

          Severe behavioural deficits in psychiatric diseases such as autism and schizophrenia have been hypothesized to arise from elevations in the cellular balance of excitation and inhibition (E/I balance) within neural microcircuitry. This hypothesis could unify diverse streams of pathophysiological and genetic evidence, but has not been susceptible to direct testing. Here we design and use several novel optogenetic tools to causally investigate the cellular E/I balance hypothesis in freely moving mammals, and explore the associated circuit physiology. Elevation, but not reduction, of cellular E/I balance within the mouse medial prefrontal cortex was found to elicit a profound impairment in cellular information processing, associated with specific behavioural impairments and increased high-frequency power in the 30-80 Hz range, which have both been observed in clinical conditions in humans. Consistent with the E/I balance hypothesis, compensatory elevation of inhibitory cell excitability partially rescued social deficits caused by E/I balance elevation. These results provide support for the elevated cellular E/I balance hypothesis of severe neuropsychiatric disease-related symptoms.
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            Mapping genomic loci implicates genes and synaptic biology in schizophrenia

            Schizophrenia has a heritability of 60-80%1, much of which is attributable to common risk alleles. Here, in a two-stage genome-wide association study of up to 76,755 individuals with schizophrenia and 243,649 control individuals, we report common variant associations at 287 distinct genomic loci. Associations were concentrated in genes that are expressed in excitatory and inhibitory neurons of the central nervous system, but not in other tissues or cell types. Using fine-mapping and functional genomic data, we identify 120 genes (106 protein-coding) that are likely to underpin associations at some of these loci, including 16 genes with credible causal non-synonymous or untranslated region variation. We also implicate fundamental processes related to neuronal function, including synaptic organization, differentiation and transmission. Fine-mapped candidates were enriched for genes associated with rare disruptive coding variants in people with schizophrenia, including the glutamate receptor subunit GRIN2A and transcription factor SP4, and were also enriched for genes implicated by such variants in neurodevelopmental disorders. We identify biological processes relevant to schizophrenia pathophysiology; show convergence of common and rare variant associations in schizophrenia and neurodevelopmental disorders; and provide a resource of prioritized genes and variants to advance mechanistic studies.
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              Animal models of neuropsychiatric disorders.

              Modeling of human neuropsychiatric disorders in animals is extremely challenging given the subjective nature of many symptoms, the lack of biomarkers and objective diagnostic tests, and the early state of the relevant neurobiology and genetics. Nonetheless, progress in understanding pathophysiology and in treatment development would benefit greatly from improved animal models. Here we review the current state of animal models of mental illness, with a focus on schizophrenia, depression and bipolar disorder. We argue for areas of focus that might increase the likelihood of creating more useful models, at least for some disorders, and for explicit guidelines when animal models are reported.
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                Author and article information

                Journal
                bioRxiv
                BIORXIV
                bioRxiv
                Cold Spring Harbor Laboratory
                09 January 2024
                : 2024.01.08.574745
                Affiliations
                [1. ]Yang Tan Collection and McGovern Institute for Brain Research, Massachusetts Institute of Technology
                [2. ]Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology
                [3. ]Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard
                [4. ]Department of Neuroscience, Tufts University School of Medicine
                [5. ]Department of Neuroscience, Brown University
                Author notes
                [*]

                These authors contributed equally.

                Author Contribution

                R.D.W. and R.L. developed the lever-pressing task in coordination with M.M.H. T.Z. performed most of the behavior, functional ultrasound imaging, in vivo electrophysiological recording, optogenetic manipulation experiments with the help of YY.H. and K.H. and mentorship from M.M.H. and G.F.. T.Z. performed behavioral data analysis with mentorship from M.M.H. T.Z. wrote the manuscript with feedback from YY.H., K.H., N.H., A.F. M.N., and M.M.H.. YY.H. did the data analysis for functional ultrasound imaging and in vivo electrophysiological recordings with help from J.S. and mentorship from M.M.H. and built HMM and belief updating models with mentorship from M.N. and M.M.H. K.H. performed the reward and cost sensitivity test and analyzed the data with help from E.H.. A.F. and K.H. performed OFT, O-maze, and SPT experiments and analyzed the data. C.L. performed the western blot experiment and analyzed the data. J.W. and X.G. generated the Grin2a Y700X+/− mouse model. Tarjinder Singh shared genetic variants information in schizophrenia patients.

                [# ]co-senior and co-corresponding authors ( Michael.Halassa@ 123456tufts.edu ; fengg@ 123456mit.edu )
                Article
                10.1101/2024.01.08.574745
                10802391
                38260581
                15c5aaee-ed12-4c98-837e-bb8725fa1e58

                This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator.

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