Cell type-specific connectome predicts distributed working memory activity in the mouse brain

Author:

Ding Xingyu1ORCID,Froudist-Walsh Sean12ORCID,Jaramillo Jorge13ORCID,Jiang Junjie14ORCID,Wang Xiao-Jing1ORCID

Affiliation:

1. Center for Neural Science, New York University

2. Bristol Computational Neuroscience Unit, School of Engineering Mathematics and Technology, University of Bristol

3. Campus Institute for Dynamics of Biological Networks, University of Göttingen

4. The Key Laboratory of Biomedical Information Engineering of Ministry of Education,Institute of Health and Rehabilitation Science,School of Life Science and Technology, Research Center for Brain-inspired Intelligence, Xi’an Jiaotong University

Abstract

Recent advances in connectomics and neurophysiology make it possible to probe whole-brain mechanisms of cognition and behavior. We developed a large-scale model of the multiregional mouse brain for a cardinal cognitive function called working memory, the brain’s ability to internally hold and process information without sensory input. The model is built on mesoscopic connectome data for interareal cortical connections and endowed with a macroscopic gradient of measured parvalbumin-expressing interneuron density. We found that working memory coding is distributed yet exhibits modularity; the spatial pattern of mnemonic representation is determined by long-range cell type-specific targeting and density of cell classes. Cell type-specific graph measures predict the activity patterns and a core subnetwork for memory maintenance. The model shows numerous attractor states, which are self-sustained internal states (each engaging a distinct subset of areas). This work provides a framework to interpret large-scale recordings of brain activity during cognition, while highlighting the need for cell type-specific connectomics.

Funder

National Institutes of Health

Office of Naval Research

National Science Foundation

Simons Foundation

Biotechnology and Biological Sciences Research Council

University of Bristol

Publisher

eLife Sciences Publications, Ltd

Subject

General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

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