Tobacco Use and Lower Accuracy in a Novel Facial Detection Task

The aim of the present study was to investigate the ways in which tobacco addiction affects a person's ability to recognize facial patterns. Facial detection was assessed in 16 individuals with tobacco use disorder and 16 healthy nonsmokers. Facial stimuli were taken from the Ignatian Educational Foundation (FEI) database, from which 12 male and 12 female faces were randomly selected. In the facial detection task, the subjects' task was to detect the location of a face when it was presented with a face/nonface pair on the screen. The order of stimulus presentation was randomized within sessions. Bayesian adaptive estimation was used for stimulus presentation. Presentation times varied between 16.7 and 3,006 ms. Lower response accuracy was associated with worse discrimination. No predictive effects of the cognitive tests on facial detection were found. A person's ability of facial detection can be applied to provide initial descriptions of impairments in the visual processing system. Early stage visual processing is impaired by chronic smoking, and subjects are able to recognize this. Therefore, there is a possibility of reversing this effect and promoting a better prognosis. The present task has biopsychosocial applications and may improve smokers' health by detecting subtle initial changes in visual processing.