Electrophysiological correlates of associative learning in smokers: a higher-order conditioning experiment
✍ Scribed by Marianne Littel; Ingmar HA Franken
- Publisher
- BioMed Central
- Year
- 2012
- Tongue
- English
- Weight
- 544 KB
- Volume
- 13
- Category
- Article
- ISSN
- 1471-2202
No coin nor oath required. For personal study only.
✦ Synopsis
Background
Classical conditioning has been suggested to play an important role in the development, maintenance, and relapse of tobacco smoking. Several studies have shown that initially neutral stimuli that are directly paired with smoking are able to elicit conditioned responses. However, there have been few human studies that demonstrate the contribution of higher-order conditioning to smoking addiction, although it is assumed that higher-order conditioning predominates learning in the outside world. In the present study a higher-order conditioning task was designed in which brain responses of smokers and non-smokers were conditioned by pairing smoking-related and neutral stimuli (CS1~smoke~ and CS1~neutral~) with two geometrical figures (CS2~smoke~ and CS2~neutral~). ERPs were recorded to all CSs.
Results
Data showed that the geometrical figure that was paired with smoking stimuli elicited significantly larger P2 and P3 waves than the geometrical figure that was paired with neutral stimuli. During the first half of the experiment this effect was only present in smokers whereas non-smokers displayed no significant differences between both stimuli, indicating that neutral cues paired with motivationally relevant smoking-related stimuli gain more motivational significance even though they were never paired directly with smoking. These conclusions are underscored by self-reported evidence of enhanced second-order conditioning in smokers.
Conclusions
It can be concluded that smokers show associative learning for higher-order smoking-related stimuli. The present study directly shows the contribution of higher-order conditioning to smoking addiction and is the first to reveal its electrophysiological correlates. Although results are preliminary, they may help in understanding the etiology of smoking addiction and its persistence.