Study shows how neurons interact, could lead to new treatment for addiction
Harvard scientists have developed the fullest picture yet of how neurons in the brain interact to reinforce behaviors ranging from learning to drug use, a finding that might open the door to possible breakthroughs in the treatment of addiction.
The finding is the result of a year-long effort by a team of researchers led by associate professor of Molecular and Cellular Biology Naoshige Uchida to examine a brain process known as reward prediction error. Thought to be a key component of learning, prediction error was long believed to be the product of dopamine neurons firing in response to an unexpected "reward," thus reinforcing the behavior that led to the reward.
But Uchida and colleagues from Harvard and Beth Israel Deaconess Medical Center report in the Jan. 18 issue of Nature that reward prediction error is actually the product of a complex interplay between two classes of neurons one that relies on dopamine and an inhibitory class of neuron that uses the neurotransmitter GABA.
"Until now, no one knew how these GABA neurons were involved in the reward and punishment cycle," Uchida said. "What we believe is happening is that they are inhibiting the dopamine neurons, so the two are working together to make the reward error computation."
Before Uchida and his team could prove that GABA neurons are involved in the computation, however, they had to be sure what type of cells they were observing.
The challenge in studying either dopamine or GABA neurons is that the two cell types are intermingled in a relatively small area of the brain, making it difficult for researchers to definitively know which type they are observing. Ultimately, researchers developed an elegant solution to the problem.
Researchers genetically altered the neurons in two groups of mice one for the dopamine neurons, the other for GABA neurons to fire when hit by a pulse of laser light. Once researchers were certain they were measuring the correct type of neuron, they used electrodes to measure whether and when the neurons fired in response to expected and actual rewards.
The results, Uchida said, showed that while firing of dopamine neurons signaled reward prediction error, firing of GABA neurons signaled an expected reward. Taken together, GABA neurons help dopamine neurons calculate reward prediction error.
The finding is particularly important, Uchida said, because it sheds new light on how behaviors can be reinforced, either through normal brain function, or by damaging the way the two types of neurons interact.
"What happens with drug abuse is that many drugs, such as opioids and cannabinoids, target the GABA neurons," he said. "What we are hypothesizing is that, by inhibiting those GABA neurons, you can lose this feedback cycle, so you keep getting reinforcing signals from the dopamine neurons.
"This is a new way of thinking about addiction in general," Uchida continued. "Based on this theory, I believe you may be able to develop new theories or treatments for addiction."