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Optogenetic Manipulation of Neuronal Activity to Modulate Behavior in Freely Moving Mice
Published on: October 27, 2020
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Fully autonomous mouse behavioral and optogenetic experiments in home-cage.
Yaoyao Hao1, Alyse Marian Thomas1, Nuo Li1
1Department of Neuroscience, Baylor College of Medicine, Houston, United States.
Elife
|May 4, 2021
Summary
This study introduces an automated system for mapping brain networks in mice during decision-making. It enables large-scale, unsupervised optogenetic experiments to understand neural circuits involved in goal-directed behavior.
Area of Science:
- Neuroscience
- Behavioral Neuroscience
- Systems Neuroscience
Background:
- Goal-directed behaviors rely on complex, distributed brain networks.
- Current methods for mapping these networks in mice are slow due to serial testing and extensive training.
- Optogenetic manipulation of deep brain regions typically requires invasive procedures.
Purpose of the Study:
- To develop an autonomous workflow for large-scale neural circuit mapping during operant behaviors in mice.
- To overcome bottlenecks in traditional experimental paradigms, including training time and serial region testing.
- To enable unsupervised, in-home-cage optogenetic manipulation and behavioral testing.
Main Methods:
- An autonomous home-cage system was established for naive mice.
- Mice learned voluntary head-fixation and performed decision-making tasks for 2 months unsupervised.
- Optogenetic manipulation of deep brain regions was performed through the intact skull during behavior.
- Dozens of mice were tested in parallel unsupervised optogenetic experiments.
Main Results:
- Naive mice successfully learned head-fixation and complex decision-making tasks autonomously.
- The workflow allowed for parallel, unsupervised optogenetic manipulation and behavioral testing.
- Multiple brain regions, including cortex, striatum, and superior colliculus, were identified as involved in tactile decision-making.
Conclusions:
- The developed autonomous workflow significantly accelerates the mapping of distributed neural circuits underlying goal-directed behaviors.
- This approach facilitates large-scale, unsupervised investigation of brain function in mice.
- It reveals novel insights into the neural basis of decision-making and sensory processing.

