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Updated: Feb 6, 2026

An Automated T-maze Based Apparatus and Protocol for Analyzing Delay- and Effort-based Decision Making in Free Moving Rodents
Published on: August 2, 2018
An Automated T-maze Based Apparatus and Protocol for Analyzing Delay- and Effort-based Decision Making in Free Moving
Qi Zhang1, Yuki Kobayashi2, Hiromichi Goto2
1Laboratory of Behavioral Genetics, Center for Brain Science, RIKEN; Faculty of Human Science, University of Tsukuba; qi.zhang@riken.jp.
This study introduces an automated T-maze system for assessing rodent decision-making, reducing labor and improving efficiency. The new system accurately measures cost-benefit choices influenced by delay or effort, aiding neurological research.
Area of Science:
- Neuroscience
- Animal Behavior
- Experimental Psychology
Background:
- Neurological and psychiatric disorders often involve decision-making deficits.
- Rodent models are crucial for understanding the neurobiology of decision-making problems.
- Traditional T-maze tasks for decision-making are labor-intensive and prone to experimenter variability.
Purpose of the Study:
- To develop a fully automated T-maze apparatus for evaluating rodent decision-making.
- To enable efficient assessment of both delay- and effort-based decision-making paradigms.
- To facilitate integrated neural recording and manipulation during decision-making tasks.
Main Methods:
- Invention of an automated T-maze system with automated pellet delivery, door management, and choice recording.
- Utilizing the automated T-maze to evaluate decision-making phenotypes in genetically modified mice.
- Implementing the system for both delay-based and effort-based cost-benefit decision-making tasks.
Main Results:
- The automated T-maze system successfully evaluated decision-making in rodents.
- Mice with ablated medial habenula exhibited aversion to both delay and effort, preferring immediate rewards.
- The system demonstrated reduced experimenter intervention and enhanced experimental efficiency.
Conclusions:
- The automated T-maze provides a robust and efficient platform for studying rodent decision-making.
- This technology aids in understanding the neurobiological underpinnings of decision-making deficits.
- The setup is compatible with advanced neurophysiological recording and manipulation techniques.
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