Journal article
Brain-wide electrical dynamics encode individual appetitive social behavior
Neuron (Cambridge, Mass.), Vol.111(10), pp.1728-1741.e7
03/14/2022
DOI: 10.1016/j.neuron.2022.02.016
PMCID: PMC9126093
PMID: 35294900
Abstract
The architecture whereby activity across many brain regions integrates to encode individual appetitive social behavior remains unknown. Here we measure electrical activity from eight brain regions as mice engage in a social preference assay. We then use machine learning to discover a network that encodes the extent to which individual mice engage another mouse. This network is organized by theta oscillations leading from prelimbic cortex and amygdala that converge on the ventral tegmental area. Network activity is synchronized with cellular firing, and frequency-specific activation of a circuit within this network increases social behavior. Finally, the network generalizes, on a mouse-by-mouse basis, to encode individual differences in social behavior in healthy animals but fails to encode individual behavior in a ‘high confidence’ genetic model of autism. Thus, our findings reveal the architecture whereby the brain integrates distributed activity across timescales to encode an appetitive brain state underlying individual differences in social behavior.
•Machine learning model discovers and integrates circuits into affective brain network•Brain-wide network encodes rewarding social experience of individual mice•Causal activation of network sub-circuits selectively induces social behavior•Social brain network fails to encode individual behavior in a mouse model of autism
Mague, Talbot et al. applied machine learning to discover a brain-wide electrical network that encodes individual rewarding social experiences in mice. Stimulation of circuits within the network increases social behavior. Strikingly, the network fails to encode individual social experience in a genetic mouse model of autism.
Details
- Title: Subtitle
- Brain-wide electrical dynamics encode individual appetitive social behavior
- Creators
- Stephen D Mague - Howard Hughes Medical InstituteAustin Talbot - Duke UniversityCameron Blount - Duke UniversityKathryn K Walder-Christensen - Howard Hughes Medical InstituteLara J Duffney - Duke UniversityElise Adamson - Howard Hughes Medical InstituteAlexandra L Bey - Howard Hughes Medical InstituteNkemdilim Ndubuizu - Duke UniversityGwenaëlle E Thomas - Howard Hughes Medical InstituteDalton N Hughes - Howard Hughes Medical InstituteYael Grossman - Howard Hughes Medical InstituteRainbo Hultman - University of IowaSaurabh Sinha - Duke UniversityAlexandra M Fink - Duke UniversityNeil M Gallagher - Duke UniversityRachel L Fisher - Duke UniversityYong-Hui Jiang - Duke UniversityDavid E Carlson - Duke UniversityKafui Dzirasa - Howard Hughes Medical Institute
- Resource Type
- Journal article
- Publication Details
- Neuron (Cambridge, Mass.), Vol.111(10), pp.1728-1741.e7
- Publisher
- Elsevier Inc
- DOI
- 10.1016/j.neuron.2022.02.016
- PMID
- 35294900
- PMCID
- PMC9126093
- ISSN
- 0896-6273
- eISSN
- 1097-4199
- Grant note
- DOI: 10.13039/100000002, name: National Institutes of Health, award: 1R01EB026937, 1R01MH125430, R01ES025549, R01MH120158, R21MH104316; DOI: 10.13039/100000888, name: W. M. Keck Foundation
- Language
- English
- Date published
- 03/14/2022
- Academic Unit
- Molecular Physiology and Biophysics; Psychiatry; Iowa Neuroscience Institute
- Record Identifier
- 9984230622002771
Metrics
71 Record Views