Emergence of task-related spatiotemporal population dynamics in transplanted neurons.
Autor: | Ghuman H; Department of Neurology, University of California, San Francisco, San Francisco, CA, USA., Kim K; Department of Neurology, University of California, San Francisco, San Francisco, CA, USA., Barati S; Department of Neurology, University of California, San Francisco, San Francisco, CA, USA., Ganguly K; Department of Neurology, University of California, San Francisco, San Francisco, CA, USA. karunesh.ganguly@ucsf.edu.; Neurology Service, San Francisco Veterans Affairs Medical Center, San Francisco, CA, USA. karunesh.ganguly@ucsf.edu. |
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Jazyk: | angličtina |
Zdroj: | Nature communications [Nat Commun] 2023 Nov 11; Vol. 14 (1), pp. 7320. Date of Electronic Publication: 2023 Nov 11. |
DOI: | 10.1038/s41467-023-43081-w |
Abstrakt: | Loss of nervous system tissue after severe brain injury is a main determinant of poor functional recovery. Cell transplantation is a promising method to restore lost tissue and function, yet it remains unclear if transplanted neurons can demonstrate the population level dynamics important for movement control. Here we present a comprehensive approach for long-term single neuron monitoring and manipulation of transplanted embryonic cortical neurons after cortical injury in adult male mice performing a prehension task. The observed patterns of population activity in the transplanted network strongly resembled that of healthy networks. Specifically, the task-related spatiotemporal activity patterns of transplanted neurons could be represented by latent factors that evolve within a low dimensional manifold. We also demonstrate reliable modulation of the transplanted networks using minimally invasive epidural stimulation. Our approach may allow greater insight into how restoration of cell-type specific network dynamics in vivo can restore motor function. (© 2023. This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply.) |
Databáze: | MEDLINE |
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