Self-related neural response to tailored smoking-cessation messages predicts quitting.

abstract

• Tailored health interventions can be more effective in eliciting positive behavior change than generic interventions, but the underlying neural mechanisms are not yet understood. Here, 91 smokers participated in a functional magnetic resonance imaging session and a tailored smoking-cessation program. We found that increases in activation in self-related processing regions, particularly dorsomedial prefrontal cortex, to tailored messages predicted quitting during a 4-month follow-up.

authors

• Liberzon, Israel

published proceedings

• Nat Neurosci

altmetric score

• 21.87

author list (cited authors)

• Chua, H. F., Ho, S. S., Jasinska, A. J., Polk, T. A., Welsh, R. C., Liberzon, I., & Strecher, V. J.

citation count

• 154

complete list of authors

• Chua, Hannah Faye||Ho, S Shaun||Jasinska, Agnes J||Polk, Thad A||Welsh, Robert C||Liberzon, Israel||Strecher, Victor J

publication date

• April 2011

publisher

• Springer Nature  Publisher

published in

• Nature Neuroscience  Journal

keywords

• Adult
• Behavior Therapy
• Brain Mapping
• Cerebral Cortex
• Cognition
• Female
• Humans
• Image Processing, Computer-Assisted
• Magnetic Resonance Imaging
• Male
• Neurons
• Predictive Value Of Tests
• Self-Assessment
• Smoking Cessation

PubMed Central ID

• 21358641

Digital Object Identifier (DOI)

• 10.1038/nn.2761

start page

• 426

end page

• 427

volume

• 14

issue

• 4

URL

• http://dx.doi.org/10.1038/nn.2761

user-defined tag

• 3 Good Health and Well-Being