bioRxivNeurosciencePreprint
Evolutionarily conserved neural dynamics across mice, monkeys, and humans
Olivier CodoliD, Margaux AsclipeiD, Anton R. SobinoviD, Zihao Chen, Junchol ParkiD, Nicholas G. HatsopoulosiD, Joshua Tate DudmaniD, Juan Álvaro GallegoiD, Guillaume LajoieiD, Matthew G. PerichiD
Abstract
On evolutionary timescales, brain circuits adapt to support survival in each species ecological niche. While some anatomical aspects of neural circuitry are conserved across species with distant evolutionary origins, each species also exhibits specific circuit adaptations that enable its behavioral repertoire. It remains unclear whether homologous brain regions leverage analogous neural computations as different species perform common behaviors such as reaching and manipulating objects. Here, we directly assessed conservation of neural computations using intracortical recordings from mouse, monkey, and human motor cortex--a homologous region across many mammals--during motor behaviors crucial for survival. We hypothesized that, despite their phylogenetic distance, rodents and primates produce movements through conserved neural computations implemented by motor cortical population dynamics. Remarkably, we found that movement-related neural dynamics were highly conserved across species, while variations in behavioral output were uniquely captured in neural trajectory geometries. Strikingly, neural dynamics during movement across species were more conserved than those across brain regions in the same human and between motor preparation and execution in the same monkeys. Lastly, through manipulation of neural network models trained to perform reaching movements, we reinforce that conservation of neural dynamics across species likely stems from shared circuit constraints. We thus assert that evolution maintains neural computations across phylogeny even as behavioral repertoires expand.
- organism: mouse
- organism: human
- organism: non-human primate
- assay: electronic health records
- research focus: cell type annotation
- approach: experimental assay
- Citations
- 2
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