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Optogenetic Entrainment of Hippocampal Theta Oscillations in Behaving Mice
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Cortical spheroids display oscillatory network dynamics.

Jessica L Sevetson1,2,3, Brian Theyel1,2,4, Diane Hoffman-Kim1,2,3,5

  • 1Department of Neuroscience, Brown University, Providence, RI 02906, USA. Diane_Hoffman-Kim@brown.edu.

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|November 4, 2021
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Summary
This summary is machine-generated.

Researchers demonstrate functional neuronal network activity in three-dimensional (3D) rodent brain cultures. These self-assembled cortical spheroids exhibit complex network events, paving the way for reduced animal use in neuroscience research.

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Area of Science:

  • Neuroscience
  • Biotechnology
  • Cell Biology

Background:

  • Three-dimensional (3D) brain cultures are crucial for studying central nervous system (CNS) function and disease.
  • Neuronal network activity is a key component of these cultures, reflecting in vivo conditions.

Purpose of the Study:

  • To demonstrate and characterize network activity in self-assembled rodent cortical spheroids.
  • To establish these 3D cultures as a model for studying neuronal network dynamics.

Main Methods:

  • Culturing rat and mouse cortical spheroids.
  • Imaging neuronal activity using calcium indicator dyes and GCaMP.
  • Electrically stimulating spheroids and applying pharmacological blockers (glutamatergic and GABAergic).
  • Quantifying neuronal soma correlations and distances with micron-scale resolution.

Main Results:

  • Cortical spheroids developed complex network activity by nine days in culture.
  • Network activity was confirmed by electrical stimulation and abolished by glutamatergic blockade.
  • Activity was modulated by GABAergic blockade and partial glutamatergic blockade.
  • Emergent network events, including oscillations, were observed in spheroids seeded with as few as 4000 cells.

Conclusions:

  • Self-assembled rodent cortical spheroids exhibit in vivo-like network activity.
  • These 3D brain cultures provide a robust model for studying neuronal networks.
  • This model enables high-throughput experiments and reduces the need for animal models in neuroscience research.