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Behavioral Training Procedures for Head-fixed Virtual Reality in Mice
Published on: September 6, 2024
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Goal-directed actions and habits in head-fixed mice.
Logan M Manusky1, Lisa M Green1, Joshua A Boquiren1
1Department of Neuroscience, Medical University of South Carolina, Charleston, SC, United States.
Frontiers in Behavioral Neuroscience
|March 13, 2026
Summary
Researchers developed a new mouse model to study how flexible goal-directed actions become rigid habits. Inhibiting the dorsolateral striatum (DLS) in overtrained mice restored goal-directed control, highlighting its role in behavioral flexibility.
Area of Science:
- Neuroscience
- Behavioral Science
- Systems Neuroscience
Background:
- Behavioral control relies on a balance between flexible goal-directed actions and automated habits.
- An imbalance favoring habits over flexibility is linked to neuropsychiatric disorders.
- Neural circuits governing this balance are poorly understood, hindering research.
Purpose of the Study:
- Introduce and validate a novel head-fixed instrumental learning paradigm in mice.
- Enable differentiation between goal-directed and habitual behavioral control.
- Provide a platform for high-resolution, longitudinal in vivo neural interrogation.
Main Methods:
- Developed a head-fixed instrumental learning paradigm in mice.
- Used chemogenetics to inhibit the dorsolateral striatum (DLS) in limited-trained and overtrained mice.
- Assessed behavioral sensitivity to outcome devaluation and contingency reversal.
Main Results:
- Mice rapidly learned lever pressing, with overtrained mice showing insensitivity to outcome devaluation.
- Chemogenetic inhibition of the DLS in overtrained mice restored sensitivity to devaluation and contingency reversal.
- DLS inhibition blocked habit expression and preserved goal-directed control.
Conclusions:
- Established a validated paradigm for studying goal-directed actions and habits in head-fixed mice.
- Validated the dorsolateral striatum (DLS) as a key neuronal substrate for behavioral control.
- This methodological advancement facilitates longitudinal, cellular-level investigation of neural dynamics underlying behavioral flexibility.

