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Science Daily — New research is giving scientists fresh insights into how 
genetics are a prime factor in how we learn.

Michael Frank, an assistant professor of psychology and director of the 
Laboratory for Neural Computation and Cognition at The University of Arizona, 
headed a team whose results are reported in the Oct. 1 issue of Early 
Edition, an online site hosted by the Proceedings of the National Academy of 
Sciences.
Frank and his colleagues found links to learning behaviors in three separate 
genes associated with dopamine. Dopamine is a neurotransmitter, a chemical in 
the brain that is often associated with pleasure, learning and other 
behaviors. Several neurological disorders, such as Parkinson's disease, are 
also linked to abnormal levels of dopamine.
Frank's study points to fundamental genetic differences between "positive" 
and "negative" learners.
"All three genes affect brain dopamine functioning, but in different ways, and 
in different parts of the brain" Frank said. "The genes predicted people's 
ability to learn from both the positive and negative outcomes of their 
decisions."
Two of the genes - DARPP-32 and DRD2 - predicted learning about the average, 
long-term probability of rewards and punishments, not unlike your personal 
preference for why, for example, you might choose steak over salmon.
"When making these kinds of choices, you do not explicitly recall each 
individual positive and negative outcome of all of your previous such 
choices. Instead, you often go with your 'gut,' which may involve a more 
implicit representation of the probability of rewarding outcomes based on 
past experience," Frank said.
The DARPP-32 and DRD2 genes control dopamine function in a region of the brain 
called the striatum, thought to be necessary for this kind of implicit reward 
learning. A third gene, COMT, did not predict long-term reward or punishment 
learning, but instead predicted a person's tendencies to change choice 
strategies after a single instance of negative feedback. Frank said this gene 
affects dopamine function in the prefrontal cortex of the brain, the area 
associated with conscious processing and working memory. This would be akin 
to switching from steak to salmon upon remembering your last experience with 
overdone steak.
The overall research program was designed to test a computer model that 
simulates the key roles of dopamine in reinforcement learning in different 
parts of the brain, as motivated by a body of biological research.
"The reason we looked at these three individual genes in the first place, out 
of a huge number of possible genes, is that we have a computer model that 
examines how dopamine mediates these kinds of reinforcement processes in the 
striatum and prefrontal cortex," Frank said. "The model makes specific 
predictions on how subtle changes in different aspects of dopamine function 
can affect behavior, and one way to get at this question is to test 
individual genes."
Among the evidence incorporated in the model and motivating the genetic study 
is research showing that bursts of dopamine production follow in the wake of 
unexpected rewards. Conversely, dopamine production declines when rewards are 
expected but not received.
To test their hypothesis, the researchers collected DNA from 69 healthy 
individuals who were asked to perform a computerized learning program. The 
volunteers were asked to pick one of two Japanese characters that appeared on 
a screen and were "rewarded" for a "correct" response, and "punished" for 
an "incorrect" one. 
Frank said more research is needed to confirm that genetic effects are 
accompanied by brain-related changes in behavior. But, he said, the research 
offers insights into the genetic basis for learning differences and insights 
into improving human cognition and learning, both normal and abnormal.
"Understanding how dopaminergic variations affects learning and 
decision-making processes may have substantial implications for patient 
populations, such as (those with) Parkinson's disease, attention-deficit 
hyperactivity disorder (ADHD) and schizophrenia," Frank said. "The genetics 
might also help us identify individuals who might gain from different types 
of learning environments in the classroom."

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