Predicting Teens’ Future Alcohol Use from MRI

Teenagers with large amounts of gray matter in the brain at age 14 are more likely to increase their alcohol use over the next five years, according to a whole-brain imaging study reported today in eLife. The findings may help scientists understand what makes some teens more vulnerable to alcohol use disorders and could help enable early interventions to curb alcohol use.

“Adolescence is a critically vulnerable time for the development of alcohol drinking habits that may lead to considerable consequences later in life, including alcohol addiction,” says first author Simone Kühn of the University Medical Center Hamburg-Eppendorf. “During this period, teens undergo a critical period of brain development and adopt many new behaviors, making it an important time to intervene.”

Previous studies have suggested that differences in certain parts of the brain in early adolescence may make some young people more vulnerable to developing addictions. Kühn and her colleagues went a step further by using structural magnetic resonance imaging to look for differences throughout the entire brain that might predict increasing teen alcohol use over the next five years.

They looked at detailed brain images of 1,814 healthy 14-year-olds participating in the IMAGEN project—a large European study of adolescents—and compared that to the participants’ self-reported drinking habits at ages 14, 16 or 17, and 19. They built models based on this data to predict changes in the teens’ drinking behavior. The models revealed that teens with more gray matter in the caudate nucleus, the region of the brain involved with learning, and the left cerebellum, which is associated with thinking and movement, had a higher chance of increasing their drinking habits over time.

Similar brain differences in adolescents have been linked to the development of psychiatric disorders later in life, which reinforces the idea that structural differences in the brain may contribute to both psychiatric and substance use disorders. But the cause of these differences isn’t yet clear. However, Kühn notes that the amount of gray matter in the brain grows through childhood and then peaks during adolescence when unnecessary brain connections are pruned away.

“Our results may reflect a slowing down of this pruning activity or an overproduction of brain connections,” Kühn concludes. “Future research involving multiple neuroimaging techniques will be needed to help answer this question.”