A data-driven characterisation of natural facial expressions when giving good and bad news.

Facial expressions carry key information about an individual's emotional state. Research into the perception of facial emotions typically employs static images of a small number of artificially posed expressions taken under tightly controlled experimental conditions. However, such approaches risk missing potentially important facial signals and within-person variability in expressions. The extent to which patterns of emotional variance in such images resemble more natural ambient facial expressions remains unclear. Here we advance a novel protocol for eliciting natural expressions from dynamic faces, using a dimension of emotional valence as a test case. Subjects were video recorded while delivering either positive or negative news to camera, but were not instructed to deliberately or artificially pose any specific expressions or actions. A PCA-based active appearance model was used to capture the key dimensions of facial variance across frames. Linear discriminant analysis distinguished facial change determined by the emotional valence of the message, and this also generalised across subjects. By sampling along the discriminant dimension, and back-projecting into the image space, we extracted a behaviourally interpretable dimension of emotional valence. This dimension highlighted changes commonly represented in traditional face stimuli such as variation in the internal features of the face, but also key postural changes that would typically be controlled away such as a dipping versus raising of the head posture from negative to positive valences. These results highlight the importance of natural patterns of facial behaviour in emotional expressions, and demonstrate the efficacy of using data-driven approaches to study the representation of these cues by the perceptual system. The protocol and model described here could be readily extended to other emotional and non-emotional dimensions of facial variance.

Synchronous facial action binds dynamic facial features.

We asked how dynamic facial features are perceptually grouped. To address this question, we varied the timing of mouth movements relative to eyebrow movements, while measuring the detectability of a small temporal misalignment between a pair of oscillating eyebrows-an eyebrow wave. We found eyebrow wave detection performance was worse for synchronous movements of the eyebrows and mouth. Subsequently, we found this effect was specific to stimuli presented to the right visual field, implicating the involvement of left lateralised visual speech areas. Adaptation has been used as a tool in low-level vision to establish the presence of separable visual channels. Adaptation to moving eyebrows and mouths with various relative timings reduced eyebrow wave detection but only when the adapting mouth and eyebrows moved asynchronously. Inverting the face led to a greater reduction in detection after adaptation particularly for asynchronous facial motion at test. We conclude that synchronous motion binds dynamic facial features whereas asynchronous motion releases them, allowing adaptation to impair eyebrow wave detection.

Epidemiology of HIV-1 subtypes among men who have sex with men in Cape Town, South Africa.

OBJECTIVE: Early studies in Cape Town identified independent HIV-1 epidemics, with distinct viral subtypes, among men who have sex with men (MSM) and the heterosexual population. However, few recent HIV-1 subtype data are available for MSM in South Africa. We examined HIV-1 subtypes among MSM in Cape Town. DESIGN: Cross-sectional survey. METHODS: Self-identified MSM were recruited from geographically and racially disparate communities across Cape Town. Participants completed behavioral questionnaires and underwent HIV testing. Virus isolated from infected participants underwent complete env gp160 sequencing, and HIV-1 subtypes were assigned through phylogenetic analysis. RESULTS: In total, 194 HIV-infected MSM were enrolled: 67% black African, 24% colored, and 9% white men. More black African men identified as bisexual or heterosexual compared with other races. Overall, 31%-66% of men reported a recent partner of another race. HIV-1 subtypes were confirmed for 143 participants: 81% were subtype C, 14% B, 1% A1, 1% F2, and 3 recombinant viruses. Subtype C virus was associated with black African race (P = 0.003 compared with colored; P < 0.001 compared with white), men who identified as bisexual/heterosexual (P = 0.01), and reported a female sexual partner in the last year (P = 0.02). Compared with previous studies, an increasing prevalence of subtype C virus was noted among white MSM. CONCLUSIONS: This molecular epidemiology study provides novel evidence of sexual network links between the heterosexual and MSM epidemics and between historically racially disparate communities. These findings provide insights into the drivers of HIV epidemics in different population groups and may have implications for prevention strategies.