Insensitivity to Suffering: Psychopathic Traits and Perception of Others' Pain.

Despite growing evidence that psychopathy entails reduced emotional processing, the relationship between psychopathic traits and third-person pain perception is poorly understood. This study directly examined perception of others' pain in a sample of male and female students (N = 105) who completed the Self-Report Psychopathy scale (SRP-III) and the Toronto Empathy Questionnaire (TEQ). Participants watched a video of 60 one-second clips of other people experiencing pain. Following each clip, participants rated the perceived level of pain intensity and pain unpleasantness. Psychopathic traits were unrelated to response bias, suggesting that individuals high in psychopathic traits were no more or less likely to impute pain to others. However, higher levels of psychopathic traits, particularly callous affect and antisocial behavior, were associated with a decreased ability to discriminate others' pain. Sensitivity and response bias were unrelated to TEQ scores. These findings provide novel insights into the influence of psychopathic traits on emotional processing.

Automated vs. manual pain coding and heart rate estimations based on videos of older adults with and without dementia.

INTRODUCTION: Technological advances have allowed for the estimation of physiological indicators from video data. FaceReader™ is an automated facial analysis software that has been used widely in studies of facial expressions of emotion and was recently updated to allow for the estimation of heart rate (HR) using remote photoplethysmography (rPPG). We investigated FaceReader™-based heart rate and pain expression estimations in older adults in relation to manual coding by experts. METHODS: Using a video dataset of older adult patients with and without dementia, we assessed the relationship between FaceReader's™ HR estimations against a well-established Video Magnification (VM) algorithm during baseline and pain conditions. Furthermore, we examined the correspondence between the Facial Action Coding System (FACS)-based pain scores obtained through FaceReader™ and manual coding. RESULTS: FaceReader's™ HR estimations were correlated with VM algorithm in baseline and pain conditions. Non-verbal FaceReader™ pain scores and manual coding were also highly correlated despite discrepancies between the FaceReader™ and manual coding in the absolute value of scores based on pain-related facial action coding of the events preceding and following the pain response. CONCLUSIONS: Compared to expert manual FACS coding and optimized VM algorithm, FaceReader™ showed good results in estimating HR values and non-verbal pain scores.