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Visualizing Oscillations in Brain Slices With Genetically Encoded Voltage Indicators.

Jun Kyu Rhee1,2, Yayoi Iwamoto3, Bradley J Baker1,2

  • 1Division of Bio-Medical Science and Technology, KIST School, Korea University of Science and Technology (UST), Seoul, South Korea.

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Summary

Genetically encoded voltage indicators (GEVIs) optically resolved spontaneous brain oscillations in mouse motor cortex. Different GEVIs revealed distinct neuronal activity profiles, aiding circuit dissection.

Keywords:
ArcLightBongwoori-Pos6Bongwoori-R3genetically encoded voltage indicatorsmotor cortexneural population activityoscillations

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Area of Science:

  • Neuroscience
  • Molecular Biology
  • Biophysics

Background:

  • Spontaneous neuronal oscillations are crucial for brain function.
  • Understanding the cell-type-specific dynamics of these oscillations is challenging.

Purpose of the Study:

  • To investigate spontaneous oscillations in the mouse motor cortex using genetically encoded voltage indicators (GEVIs).
  • To compare the performance of different GEVIs in resolving these oscillations.
  • To differentiate activity profiles between excitatory and inhibitory neurons.

Main Methods:

  • Utilized three distinct GEVIs with varying response kinetics and voltage ranges.
  • Expressed GEVIs pan-neuronally, restricted to CaMKIIα-positive (excitatory) neurons, or parvalbumin-positive (inhibitory) neurons.
  • Recorded optically resolved spontaneous oscillations induced by bicuculline in mouse motor cortex slices.

Main Results:

  • GEVIs successfully resolved bicuculline-induced spontaneous oscillations.
  • GEVI characteristics influenced the recorded oscillation parameters (duration, frequency, cycles).
  • Oscillations did not originate from a single 'hot spot', indicating distributed initiation.
  • Cell-type-specific GEVI expression revealed distinct excitatory and inhibitory neuronal activity profiles.

Conclusions:

  • GEVIs provide a powerful tool for optically resolving neuronal voltage fluctuations in space and time.
  • This approach enables detailed dissection of neuronal circuit activity, including cell-type-specific dynamics.
  • GEVI technology advances the study of spontaneous network oscillations in the brain.