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Author(s): Gabriella M. Silva [sup.1] [sup.2] , Natalia L. Almeida [sup.1] [sup.2] [sup.3] , Jandirlly J. S. Souto [sup.1] [sup.2] , Stephanye J. Rodrigues [sup.1] [sup.2] , Thiago P. Fernandes [...]

Objectives: The effects of smoking on color vision have been scarcely studied. To bridge such gap, this study examined if there were differences in chromatic discrimination between heavy and light smokers. Methods: The psychophysical Trivector test was used to evaluate chromatic discrimination in healthy controls (n = 36), heavy smokers (n = 29), and light smokers (n = 32). The subject's task was to identify the orientation of the Landolt C ring gap – presented and randomized in one of the four positions (e.g., up, down, right, and left). Results: The thresholds for Protan (red), Deutan (green) and Tritan (blue) were higher in heavy smokers compared to nonsmokers but not to light smokers. Conclusions: The results confirm that heavy smoking and chronic exposure to its harmful compounds affect color discrimination when compared to light smoking; and this is more pronounced in heavy smokers than light smokers. This is particularly important to understand the differences among smokers on visual and multisensory processing. [ABSTRACT FROM AUTHOR]

Objective: Chronic tobacco consumption, classified as tobacco use disorder (TUD), has been associated with a variety of health problems. Investigations of face processing in TUD are hampered by lack of evidence. Here, we evaluated facial detection in TUD and assessed test-retest reliability for a facial detection task. Methods: Participants were instructed to detect the orientation (either left or right) of a face when it was presented with a face/non-face pair on the monitor screen, using Bayesian entropy estimation. Bland-Altman analysis and intraclass correlation coefficients were used to test the reliability of the task. The general linear model and Bayesian statistics were then used to evaluate differences between TUD (n=48) and healthy controls (n=34). Results: The reliability of the task was high for the 96 stimuli presentations. Slower reaction times (p o 0.001) and lower discrimination index (p o 0.001) were observed in the TUD group than for healthy controls. Mediation analysis indicated direct effects of smoking duration on reaction time (p o 0.001) and discrimination index (p o 0.001). Conclusions: Overall, we observed high reliability of this task and reduction of facial detection in tobacco use disorder. We conclude our findings are significant for public health initiatives and call for follow-up studies. [ABSTRACT FROM AUTHOR]

Objective: The main purpose of this study was to investigate short-term effects of nicotine gum on facial detection. Methods: Fourteen participants (mean age = 26.8 years, SD = 2.5 years; eight males) were enrolled in this pilot randomized controlled trial of nicotine gum administration (placebo, 2-mg and 4-mg doses). The participants were instructed to detect the location of a face when it was presented in a face/nonface pair on the screen. A repeated multivariate analysis of variance was conducted to analyze the results for reaction time and discrimination index. Demographics were used to explore significant association on facial detection. Bayesian analyses were also carried out considering maximum robustness to avoid bias. Results: The results indicated that the 2-mg dose resulted in faster reaction time and better discrimination than the 4-mg dose (p < 0.001). The 4-mg dose resulted in slower reaction time and lower discrimination index compared to both placebo (p < 0.01) and 2-mg doses (p < 0.001). Demographic data were not related to the outcomes. Conclusions: The results indicate that nicotine improved facial detection, but only at low doses (i.e., 2-mg), following a U-shaped curve. We trust future studies will continue to advance this research field, and if further work supports these preliminary findings, nicotine can act as therapeutic target in populations such as those with low vision. [ABSTRACT FROM AUTHOR]

Objective: The process of detecting faces can be considered one of the initial steps in face recognition, which is essential for human interaction. We sought to investigate whether a face perception task reliably detects subtle perceptual disturbances between patients with bipolar disorder (BD) and healthy controls., Methods: In this multisite study, we examined differences between BD patients and matched healthy controls. Participants were instructed to detect the orientation (either left or right) of a face when it was presented as a face/non-face pair on a computer screen using Bayesian entropy estimation. Data analyses compared performance between the groups., Results: Overall, BD patients exhibited more perceptual disturbances compared with controls. BD patients who took olanzapine had better performance and faster reaction times (RTs) than patients who took lithium or were medication-naive. BD patients who took lithium had better performance and faster RTs than medication-naive patients. The medication-naive BD group exhibited greater disturbances than all other groups., Conclusion: These findings highlight the reliability of the face perception task used herein and may be important for public health initiatives and follow-up studies that seek to understand the diverse effects of other variables that can affect sensory processing in this population., Competing Interests: The authors report no conflicts of interest.