ArticleSchizophrenia research2020
The abiding relevance of mouse models of rare mutations to psychiatric neuroscience and therapeutics.
Article in Schizophrenia research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
9 citing papers in PubMed.
- Conditional Modeling of GNAO1 Disorder Dissociates Circuit Specific Contributions to Pathology and Rationalizes Ameliorative Strategies.Movement disorders : official journal of the Movement Disorder Society · 2026Article
- Disorganized Inhibitory Dynamics in Hippocampal area CA1 of 22q11.2 Deletion Mutant Mice.bioRxiv : the preprint server for biology · 2026Article
- Altered corollary discharge signaling in the auditory cortex of a mouse model of schizophrenia predisposition.Nature communications · 2023Article
- Article
- An in vitro model of neuronal ensembles.Nature communications · 2022Article
- A Transcriptome-Based Drug Discovery Paradigm for Neurodevelopmental Disorders.Annals of neurology · 2021Article
- Aberrant Cortical Ensembles and Schizophrenia-like Sensory Phenotypes in Setd1aBiological psychiatry · 2020Article
- Recapitulation and Reversal of Schizophrenia-Related Phenotypes in Setd1a-Deficient Mice.Neuron · 2019Article
- Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Studies using powerful family-based designs aided by large scale case-control studies, have been instrumental in cracking the genetic complexity of the disease, identifying rare and highly penetrant risk mutations and providing a handle on experimentally tractable model systems. Mouse models of rare mutations, paired with analysis of homologous cognitive and sensory processing deficits and state-of-the-art neuroscience methods to manipulate and record neuronal activity have started providing unprecedented insights into pathogenic mechanisms and building the foundation of a new biological framework for understanding mental illness. A number of important principles are emerging, namely that degradation of the computational mechanisms underlying the ordered activity and plasticity of both local and long-range neuronal assemblies, the building blocks necessary for stable cognition and perception, might be the inevitable consequence and the common point of convergence of the vastly heterogeneous genetic liability, manifesting as defective internally- or stimulus-driven neuronal activation patterns and triggering the constellation of schizophrenia symptoms. Animal models of rare mutations have the unique potential to help us move from "which" (gene) to "how", "where" and "when" computational regimes of neural ensembles are affected. Linking these variables should improve our understanding of how symptoms emerge and how diagnostic boundaries are established at a circuit level. Eventually, a better understanding of pathophysiological trajectories at the level of neural circuitry in mice, aided by basic human experimental biology, should guide the development of new therapeutics targeting either altered circuitry itself or the underlying biological pathways.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.