Study finds way to predict treatment effectiveness for adults with autism

Wednesday, June 14, 2017

A collaboration between the Center for BrainHealth at The University of Texas at Dallas and the George Washington University created a protocol to predict individual treatment effectiveness for adults on the autism spectrum. Using functional magnetic resonance imaging (fMRI), the researchers identified certain brain regions that significantly correlate with an increase in social abilities following a virtual environment based training program. Adults on the autism spectrum who showed greater activity in the social brain network prior to the training improved more in emotion recognition than those who showed less activity.

"We found that when participants showed more brain activation in certain regions within the social brain network, while viewing digitally represented biological motion -- motion that symbolizes something a human might do, such as playing pat-a-cake -- the intervention was more beneficial to the participants," explained Dr. Daniel Yang, assistant research professor at the George Washington University and Children's National Health System. "Whereas if these social brain network regions did not show much activation, we observed that the person may not benefit from the intervention at this particular time but, as the brain is constantly changing, could benefit in the future, for example, by increasing pretreatment activation in these regions."

The U.S. Interagency Autism Coordinating Committee (IACC) named Dr. Yang's finding utilizing this predictive method with pediatric populations in a separate study one of the top 20 advances in autism research of 2016.

"This study advances us one step closer toward the goal of targeted, personalized treatment for individuals with autism," said Dr. Yang. "We are very happy that this predictive method may be potentially able to help children, as well as adults on the spectrum, know which training might be worth their time and money based on their current brain function."

For the study, seventeen participants between the ages of 18 and 40 years diagnosed with autism spectrum disorder were recruited from the Center for BrainHealth and the Yale Child Study Center at Yale University where Dr. Yang worked at the study's inception. Participants completed a five-week training program that met twice a week for one hour. The clinician-led, strategy-based intervention allowed participants to role play social interactions in a virtual environment.

"The training focuses on three core social strategies: recognizing others, responding to others and self-assertion," explained Tandra Allen, head of virtual training programs at the Center for BrainHealth, who provided the trainings. "We use avatars to make the complex social situations such as dealing with confrontation, job interviews, or a blind date feel more approachable to practice while still drawing on the same emotions that a person would experience in the real world."

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