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A Platform for Spatiotemporal “Matrix” Stimulation in Brain Networks Reveals Novel Forms of Circuit Plasticity
Name
fncir-15-792228.pdf
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2.91 MB
Format
Adobe PDF
Checksum (MD5)
8475320be59896d91ec68ba09e1cec09
Author(s)
Wilson, Nathan R.
Wang, Forea L.
Chen, Naiyan
Yan, Sherry X.
Daitch, Amy L.
Shi, Bo
Sharma, Samvaran
Sur, Mriganka
Date Issued
January 5, 2022
Publisher
Frontiers Media SA
Citation
Wilson, Nathan R., Wang, Forea L., Chen, Naiyan, Yan, Sherry X., Daitch, Amy L. et al. 2022. "A Platform for Spatiotemporal “Matrix” Stimulation in Brain Networks Reveals Novel Forms of Circuit Plasticity." 15.
Version
Final published version
Abstract
Here we demonstrate a facile method by which to deliver complex spatiotemporal stimulation to neural networks in fast patterns, to trigger interesting forms of circuit-level plasticity in cortical areas. We present a complete platform by which patterns of electricity can be arbitrarily defined and distributed across a brain circuit, either simultaneously, asynchronously, or in complex patterns that can be easily designed and orchestrated with precise timing. Interfacing with acute slices of mouse cortex, we show that our system can be used to activate neurons at many locations and drive synaptic transmission in distributed patterns, and that this elicits new forms of plasticity that may not be observable via traditional methods, including interesting measurements of associational and sequence plasticity. Finally, we introduce an automated “network assay” for imaging activation and plasticity across a circuit. Spatiotemporal stimulation opens the door for high-throughput explorations of plasticity at the circuit level, and may provide a basis for new types of adaptive neural prosthetics.
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Creative Commons Attribution 4.0 International license
Persistent DSpace Link
DOI of Published Version
10.3389/fncir.2021.792228
