TY - GEN
T1 - Neural responses to elements of a web-based smoking cessation program
AU - Chua, Hannah Faye
AU - Polk, Thad
AU - Welsh, Robert
AU - Liberzon, Israel
AU - Strecher, Victor
PY - 2009/1/1
Y1 - 2009/1/1
N2 - An increasing number of smokers are obtaining information from the web to help them quit smoking. In this study, we examined how smokers process different types of messages similar to those from a web-based smoking cessation program: personalization/feedback ("Jane, you are a 23-year old female smoker"), motivational ("If you quit smoking, you could save $1200 a year"), and instructional ("When you feel angry, talk to someone instead of smoking") messages. Using functional magnetic resonance imaging, smokers were exposed to the messages. On a later session, participants completed an online tailored smoking cessation program and started on a 10-week course of nicotine patch. Results show that participants indeed process the messages differently, activating brain regions associated with self-related processing (personalization/feedback), anticipated reward processing (motivational messages) and rules processing (instructional messages). This research is relevant for advancing web-based tailored interventions for substance use.
AB - An increasing number of smokers are obtaining information from the web to help them quit smoking. In this study, we examined how smokers process different types of messages similar to those from a web-based smoking cessation program: personalization/feedback ("Jane, you are a 23-year old female smoker"), motivational ("If you quit smoking, you could save $1200 a year"), and instructional ("When you feel angry, talk to someone instead of smoking") messages. Using functional magnetic resonance imaging, smokers were exposed to the messages. On a later session, participants completed an online tailored smoking cessation program and started on a 10-week course of nicotine patch. Results show that participants indeed process the messages differently, activating brain regions associated with self-related processing (personalization/feedback), anticipated reward processing (motivational messages) and rules processing (instructional messages). This research is relevant for advancing web-based tailored interventions for substance use.
KW - Addiction
KW - Internet
KW - Neuroimaging
KW - Smoking
KW - Substance abuse
UR - http://www.scopus.com/inward/record.url?scp=71749085892&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=71749085892&partnerID=8YFLogxK
U2 - 10.3233/978-1-60750-017-9-174
DO - 10.3233/978-1-60750-017-9-174
M3 - Conference contribution
C2 - 19592758
AN - SCOPUS:71749085892
SN - 9781607500179
T3 - Studies in Health Technology and Informatics
SP - 174
EP - 178
BT - Annual Review of Cybertherapy and Telemedicine 2009 - Advanced Technologies in the Behavioral, Social and Neurosciences
PB - IOS Press
ER -