The Human Brain: Adaptable Decision Making

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Researchers at the University of Iowa, together with colleagues from the California Institute of Technology and New York University, have discovered how a part of the brain helps predict future events from past experiences. The work sheds light on the function of the front-most part of the frontal lobe, known as the frontopolar cortex, an area of the cortex uniquely well developed in humans in comparison with apes and other primates.

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Making the best possible decisions in a changing and unpredictable environment is an enormous challenge. Not only does it require learning from past experience, but it also demands anticipating what might happen under previously un-encountered circumstances. Past research from the UI Department of Neurology was among the first to show that damage to certain parts of the frontal lobe can cause severe deficits in decision making in rapidly changing environments. The new study from the same department on a rare group of patients with damage to the very frontal part of their brains reveals a critical aspect of how this area contributes to decision making. The findings were published June 19 in the Journal of Neuroscience.

"We gave the patients four slot machines from which to pick in order to win money. Unbeknown to the patients, the probability of getting money from a particular slot machine gradually and unpredictably changed during the experiment. Finding the strategy that pays the most in the long run is a surprisingly difficult problem to solve, and one we hypothesized would require the frontopolar cortex," explains Christopher Kovach, Ph.D., a UI post-doctoral fellow in neurosurgery and first author of the study.

Contrary to the authors' initial expectation, the patients actually did quite well on the task, winning as much money, on average, as healthy control participants.

"But when we compared their behavior to that of subjects with intact frontal lobe, we found they used a different set of assumptions about how the payoffs changed over time," Kovach says. "Both groups based their decisions on how much they had recently won from each slot machine, but healthy comparison subjects pursued a more elaborate strategy, which involved predicting the direction that payoffs were moving based on recent trends. This points towards a specific role for the frontopolar cortex in extrapolating recent trends."

Kovach's colleague and study author Ralph Adolphs, Ph.D., professor of neuroscience and psychology at the California Institute of Technology, adds that the study results "argue that the frontopolar cortex helps us to make short-term predictions about what will happen next, a strategy particularly useful in environments that change rapidly - such as the stock market or most social settings."

Adolphs also hold an adjunct appointment in the UI Department of Neurology.

The study's innovative approach to understanding the function of this part of the brain uses model-based analyses of behavior of patients with specific and precisely characterized areas of brain damage. These patients are members of the UI's world-renowned Iowa Neurological Patient Registry, which was established in 1982 and has more than 500 active members with selective forms of damage, or lesions, to one or two defined regions in the brain.

"The University of Iowa is one of the few places in the world where you could carry out this kind of study, since it requires carefully assessed patients with damage to specific parts of their brain," says study author Daniel Tranel, Ph.D., UI professor of neurology and psychology and director of the UI Division of Behavioral Neurology and Cognitive Neuroscience.

In a final twist to the finding, the strategy taken by lesion patients was actually slightly better than the one used by comparison subjects. It happened that the task was designed so that the trends in the payoffs were, in fact, random and uninformative.

"The healthy comparison subjects seemed to perceive trends in what was just random noise," Kovach says.

This implies that the functions of the frontopolar cortex, which support more complex and detailed models of the environment, at times come with a downside: setting up mistaken assumptions.

"To the best of my knowledge this is the first study which links a normal tendency to see a nonexistent pattern in random noise, a type of cognitive bias, to a particular brain region," Kovach notes.

The researchers next want to investigate other parts of the frontal cortex in the brain, and have also begun to record activity directly from the brains of neurosurgical patients to see how single cells respond while making decisions. The work is also important to understand difficulties in decision making seen in disorders such as addiction.

The study, "Anterior prefrontal cortex contributes to action selection through tracking of recent reward trends," also included authors David Rudrauf from the University of Iowa, John O'Doherty from the California Institute of Technology, and Nathaniel Daw from New York University.

The research was funded in part by grants from the National Institute of Neurological Disorders and Stroke (Grant P50 NS19632), the National Institute on Drug Abuse (Grant DA022549), the National Institute of Mental Health (Grant MH080721) and the Tamagawa University Global Centers of Excellence Program of the Japanese Ministry of Education, Culture, Sports, and Technology.

Attribution/Source(s):

This quality-reviewed article relating to our The Human Brain section was selected for publishing by the editors of Disabled World due to its likely interest to our disability community readers. Though the content may have been edited for style, clarity, or length, the article "The Human Brain: Adaptable Decision Making" was originally written by University of Iowa Health Care, and published by Disabled-World.com on 2012-06-20 (Updated: 2021-09-02). Should you require further information or clarification, University of Iowa Health Care can be contacted at uihealthcare.org. Disabled World makes no warranties or representations in connection therewith.

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