Brain scans showing neural reactions to pro-health messages can predict if you'll keep that resolution to quit smoking more accurately than you yourself can. That's according to a new study forthcoming in Health Psychology, a peer-reviewed journal.
"We targeted smokers who were already taking action to quit," says Emily Falk, the lead author of the study and director of the Communication Neuroscience Laboratory at the U-M Institute for Social Research (ISR) and Department of Communication Studies. "And we found that neural activity can predict behavior change, above and beyond people's own assessment of how likely they are to succeed.
"These results bring us one step closer to the ability to use functional magnetic resonance imaging (fMRI) to select the messages that are most likely to affect behavior change both at the individual and population levels. It seems that our brain activity may provide information that introspection does not."
For the study, funded by the National Institutes of Health and the National Science Foundation, Falk and colleagues Matthew Lieberman, Elliot Berkman, and Danielle Whalen tested 28 heavy smokers, recruited from an anti-smoking program. Each person completed a questionnaire on their smoking history, degree of nicotine dependence, cravings, and intentions to quit. Each was also tested for exhaled carbon monoxide (CO), a measure of recent smoking.
While participants were in an fMRI scanner, the researchers showed a series of television ads designed to help people quit smoking. The ads were produced by a variety of public health agencies and foundations including the California Department of Public Health and the American Legacy Foundation. After seeing each ad, participants 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. But there was considerably variability in how successful participants were in achieving the goal.
The researchers compared the smokers' behavior change from the start to the end of the study with neural activity in a particular brain region that the team's previous research had suggested is predictive of behavior change – the medial prefrontal cortex. Neural activity in this region of the brain was significantly linked to reductions in smoking behavior over the month following the scan, predicting how successful people would be in reducing their smoking. "What is exciting," Falk explained, "is that by knowing what is going on in someone's brain during the ads, we can do twice as well at predicting their future behavior, compared to if we only knew their self-reported estimate of how successful they would be, or their intention to quit."
Interestingly, many of the ads that did not seem immediately relevant to participants at the time of the scan emerged as the most highly recalled during the month that people tried to quit smoking. "It is possible that the brain activity we are observing predicts behavior change that is not predicted by people's self-reports, because it is tapping into something that people aren't consciously aware of when they initially see the ads," said Falk.
Falk is also affiliated with the U-M Department of Psychology. Co-authors include Matthew Lieberman, Department of Psychology at the University of California, Los Angeles, Elliot Berkman, Department of Psychology at the University of Oregon, and Danielle Whalen, Department of Psychology at the University of California, Los Angeles, where the study was conducted as part of Falk's and Berkman's doctoral dissertations, advised by Matthew Lieberman.
Related URLS:The U-M Institute for Social Research
Diane Swanbrow | EurekAlert!
Laser activated gold pyramids could deliver drugs, DNA into cells without harm
24.03.2017 | Harvard John A. Paulson School of Engineering and Applied Sciences
What does congenital Zika syndrome look like?
24.03.2017 | University of California - San Diego
Astronomers from Bonn and Tautenburg in Thuringia (Germany) used the 100-m radio telescope at Effelsberg to observe several galaxy clusters. At the edges of these large accumulations of dark matter, stellar systems (galaxies), hot gas, and charged particles, they found magnetic fields that are exceptionally ordered over distances of many million light years. This makes them the most extended magnetic fields in the universe known so far.
The results will be published on March 22 in the journal „Astronomy & Astrophysics“.
Galaxy clusters are the largest gravitationally bound structures in the universe. With a typical extent of about 10 million light years, i.e. 100 times the...
Researchers at the Goethe University Frankfurt, together with partners from the University of Tübingen in Germany and Queen Mary University as well as Francis Crick Institute from London (UK) have developed a novel technology to decipher the secret ubiquitin code.
Ubiquitin is a small protein that can be linked to other cellular proteins, thereby controlling and modulating their functions. The attachment occurs in many...
In the eternal search for next generation high-efficiency solar cells and LEDs, scientists at Los Alamos National Laboratory and their partners are creating...
Silicon nanosheets are thin, two-dimensional layers with exceptional optoelectronic properties very similar to those of graphene. Albeit, the nanosheets are less stable. Now researchers at the Technical University of Munich (TUM) have, for the first time ever, produced a composite material combining silicon nanosheets and a polymer that is both UV-resistant and easy to process. This brings the scientists a significant step closer to industrial applications like flexible displays and photosensors.
Silicon nanosheets are thin, two-dimensional layers with exceptional optoelectronic properties very similar to those of graphene. Albeit, the nanosheets are...
Enzymes behave differently in a test tube compared with the molecular scrum of a living cell. Chemists from the University of Basel have now been able to simulate these confined natural conditions in artificial vesicles for the first time. As reported in the academic journal Small, the results are offering better insight into the development of nanoreactors and artificial organelles.
Enzymes behave differently in a test tube compared with the molecular scrum of a living cell. Chemists from the University of Basel have now been able to...
20.03.2017 | Event News
14.03.2017 | Event News
07.03.2017 | Event News
24.03.2017 | Materials Sciences
24.03.2017 | Physics and Astronomy
24.03.2017 | Physics and Astronomy