The image features of emotional faces that predict the initial eye movement to a face.

Emotional facial expressions are important visual communication signals that indicate a sender's intent and emotional state to an observer. As such, it is not surprising that reactions to different expressions are thought to be automatic and independent of awareness. What is surprising, is that studies show inconsistent results concerning such automatic reactions, particularly when using different face stimuli. We argue that automatic reactions to facial expressions can be better explained, and better understood, in terms of quantitative descriptions of their low-level image features rather than in terms of the emotional content (e.g. angry) of the expressions. Here, we focused on overall spatial frequency (SF) and localized Histograms of Oriented Gradients (HOG) features. We used machine learning classification to reveal the SF and HOG features that are sufficient for classification of the initial eye movement towards one out of two simultaneously presented faces. Interestingly, the identified features serve as better predictors than the emotional content of the expressions. We therefore propose that our modelling approach can further specify which visual features drive these and other behavioural effects related to emotional expressions, which can help solve the inconsistencies found in this line of research.

Translational neuroscience of basolateral amygdala lesions: Studies of Urbach-Wiethe disease.

Urbach-Wiethe disease (UWD) is an extremely rare autosomal recessive disorder characterized by mutations in the extracellular matrix protein 1 gene on chromosome 1. Typical clinical manifestations include voice hoarseness in early infancy and neuropsychiatric, laryngeal, and dermatological pathologies later in life. Neuroimaging studies have revealed a pattern of brain calcification often but not exclusively leading to selective bilateral amygdala damage. A large body of work on amygdala lesions in rodents exists, generally employing a subregion model focused on the basolateral amygdala (BLA) and the central-medial amygdala. However, human work usually considers the amygdala as a unified structure, not only complicating the translation of animal findings to humans but also providing a unique opportunity for further research. To compare data from rodent models with human cases and to complement existing data from Europe and North America, a series of investigations was undertaken on UWD subjects with selective BLA damage in the Namaqualand region, South Africa. This review presents key findings from this work, including fear processing, social-economic behavior, and emotional conflict processing. Our findings are broadly consistent with and support rodent models of selective BLA lesions and show that the BLA is integral to processing sensory stimuli and exhibits inhibitory regulation of responses to unconditioned innate fear stimuli. Furthermore, our findings suggest that the human BLA mediates calculative-instrumental economic behaviors and may compromise working memory via competition for attentional resources between the BLA salience detection system and the dorsolateral prefrontal cortex working memory system.

Hypervigilance for fear after basolateral amygdala damage in humans.

Recent rodent research has shown that the basolateral amygdala (BLA) inhibits unconditioned, or innate, fear. It is, however, unknown whether the BLA acts in similar ways in humans. In a group of five subjects with a rare genetic syndrome, that is, Urbach-Wiethe disease (UWD), we used a combination of structural and functional neuroimaging, and established focal, bilateral BLA damage, while other amygdala sub-regions are functionally intact. We tested the translational hypothesis that these BLA-damaged UWD-subjects are hypervigilant to facial expressions of fear, which are prototypical innate threat cues in humans. Our data indeed repeatedly confirm fear hypervigilance in these UWD subjects. They show hypervigilant responses to unconsciously presented fearful faces in a modified Stroop task. They attend longer to the eyes of dynamically displayed fearful faces in an eye-tracked emotion recognition task, and in that task recognize facial fear significantly better than control subjects. These findings provide the first direct evidence in humans in support of an inhibitory function of the BLA on the brain's threat vigilance system, which has important implications for the understanding of the amygdala's role in the disorders of fear and anxiety.