Brain part that drives decision-making identified

A new study has provided a deeper insight how brain is involved in the process of crucial decision making.

A key part of the brain involved with decision making, the striatum, appears to operate hierarchically - much like a traditional corporation with executives, middle managers and employees, according to researchers at the Okinawa Institute of Science and Technology (OIST) Graduate University in Japan.

The striatum is part of the basal ganglia, the inner core of the brain that processes decisions and movements. Neuroscientists have thought the three regions of the striatum - ventral, dorsomedial and dorsolateral - have very distinct roles in motivation, adaptive decisions and routine actions, respectively.

However, OIST researchers found these parts do not operate in isolation, but work together in a coordinated hierarchy, like a traditional company with executives making decisions, delegating to middle managers and employees carrying out specific tasks.

To observe what each part does, the researchers hooked up tiny electrodes to rats' brains. The electrodes measured how frequently neurons in each section fired during a task, in which rats picked between two holes based on the probability of getting a sugar pellet reward.

During fixed trials, the reward probability was held at different rates for the two holes, so the rats' responses would become habitual over several weeks. During free-choice trials, the probability of reward jumped around, requiring the rats to adapt and evaluate their options more carefully.

The researchers found that while the three striatum regions have distinct roles, they work together in different phases in a trial.

The ventral striatum (VS) was most active early on, when the rat decided whether it would participate in the activity or not. The dorsomedial striatum (DMS) changed firing levels as the rat evaluated the expected reward for each option while making a decision to turn left or right.

The dorsolateral striatum (DLS) fired short bursts at a variety of times throughout the task, suggesting the involvement with the control of fine motor movements.

This was akin to a company's president deciding to make a new product, middle managers evaluating different design and sales options, and employees building specific parts.

Neuroscientists have long thought there are separate circuits for routine actions and actions in continuously changing environments.

If true, the DLS would be more active if the probability was fixed, while the DMS would be more active in free-choice tasks that require the rat to learn and adapt. To the researchers' surprise, there was little difference in DMS and DLS firing during fixed and free-choice tasks in this study.

That was not the only unexpected result. OIST's Neural Computation Unit works on adaptive robots learning how to autonomously behave based on reward feedback. The core component of the robots' algorithm was the "action value," which keeps track of the probability for a positive outcome.

This strongly suggested that rats analyzed the potential benefit of choosing the left or right hole, and that analysis was constantly updated after each trial - the same way the robot algorithm works.

The study is published in The Journal of Neuroscience.