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Brain scans predict likely success when it comes to quitting smoking

New research from University of Michigan says brain scans showing neural reactions can predict behavior change even better than the person whose brain is being scanned.

Emily Falk, director of University of Michigan's Communication Neuroscience Laboratory, recently led a study that scanned the brain activity of 28 heavy smokers to investigate whether pro-health messages would have an impact on their ability to quit smoking. The smokers were recruited from an anti-smoking program.

The researchers found a positive relationship exists between observed brain activity and successfully quitting smoking, even when test subjects erroneously predict their likelihood of success. Moreover, their report concludes that "neural activity is a useful complement to existing self-report measures."

A forthcoming issue of Health Psychology, a peer-reviewed journal, will report the findings.

For the study, functional magnetic resonance imaging (fMRI), a type of specialized scanning technology, was used to monitor how participants responded to a series of television ads designed to help people quit smoking.

After seeing each ad, the test subjects rated how it affected their intention to quit, whether it increased their confidence about quitting, and how much they related to the message. A month after the scan, researchers contacted participants to see how they were doing and to obtain biological verification of how much they were smoking, by assessing their CO levels.

Participants reported smoking an average of 5 cigarettes a day, compared with an average of 21 a day at the start of the study, and CO levels were consistent with these self-reports.

"These results bring us one step closer to the ability to use functional magnetic resonance imaging to select the messages that are most likely to affect behavior change both at the individual and population levels," said Falk. "It seems that our brain activity may provide information that introspection does not."


Contact: Bobbie Mixon
National Science Foundation

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