Context effects recognition of the emotional facial expression

Influence of additional working memory load on emotional face recognition was studied in healthy adults. Visual set to emotional face expression was experimentally formed, and two types of additional task--visual-spatial or semantic--were embedded in the experiment. Additional task caused less plastic set, i.e., a slower set-shifting. This effect displayed itself in an increase of erroneous facial expression perceptions. The character of these erroneous perceptions (assimilative or contrast or visual illusions) depended on the type of the additional task. Pre-stimulus EEG coherence across experimental trials in theta (4-7), low alpha (8-10 Hz) and beta (14--20) bands was analysed. Data of low-alpha and beta-coherence supported the hypothesis that increased memory load caused less involvement of frontal lobes in selective attention mechanisms that are associated with set-forming. This results in a slower set-shifting. Increased memory load also led to a growth of theta-band coherence in the left hemisphere and its decrease in the right hemisphere. The account of theta-coherence decrease in the right hemisphere between prefrontal and temporal areas for a slower set-shifting is discussed.     

Personality-related differences in recognition of facial emotional expression and cortical evoked potentials

A correlation between some characteristics of the visual evoked potentials and individual personality traits (by the Kettell scale) was revealed in 40 healthy subjects when they recognized facial expressions of anger and fear. As compared to emotionally stable subjects, emotionally unstable subjects had shorter latencies of evoked potentials and suppressed late negativity in the occipital and temporal areas. In contrast, amplitude of these waves in the frontal areas was increased. In emotionally stable group of subjects differences in the evoked potentials related to emotional expressions were evident throughout the whole signal processing beginning from the early sensory stage (P1 wave). In emotionally unstable group differences in the evoked potentials related to recognized emotional expressions developed later. Sensitivity of the evoked potentials to emotional salience of faces was also more pronounced in the emotionally stable group. The involvement of the frontal cortex, amygdala, and the anterior cingulate cortex in the development of individual features of recognition of facial expressions of anger and fear is discussed.     

Dependence of plasticity of set to emotional facial expression on working memory load

The effect of increasing working memory load (by introduction of an additional cognitive task into the experimental context) on the recognition of emotional facial expression in a visual set paradigm was studied in healthy adult subjects. The link between plasticity of the cognitive set to emotional facial expression and the working memory was revealed. It was found that an increase in the working memory load was associated with a delay of set shifting in a modified situation. The set became more rigid which appeared as increasing number of trials with erroneous assessments of facial expression in the form of contrast or assimilative illusions. The significance of inner states and priming for the insight into psychophysiological mechanisms of erroneous assessments under conditions of the working memory loading is discussed in terms of the concept of the integration of bottom-up and top-down streams.     

Understanding the recognition of facial identity and facial expression

Faces convey a wealth of social signals. A dominant view in face-perception research has been that the recognition of facial identity and facial expression involves separable visual pathways at the functional and neural levels, and data from experimental, neuropsychological, functional imaging and cell-recording studies are commonly interpreted within this framework. However, the existing evidence supports this model less strongly than is often assumed. Alongside this two-pathway framework, other possible models of facial identity and expression recognition, including one that has emerged from principal component analysis techniques, should be considered.     

The MPI facial expression database--a validated database of emotional and conversational facial expressions

The ability to communicate is one of the core aspects of human life. For this, we use not only verbal but also nonverbal signals of remarkable complexity. Among the latter, facial expressions belong to the most important information channels. Despite the large variety of facial expressions we use in daily life, research on facial expressions has so far mostly focused on the emotional aspect. Consequently, most databases of facial expressions available to the research community also include only emotional expressions, neglecting the largely unexplored aspect of conversational expressions. To fill this gap, we present the MPI facial expression database, which contains a large variety of natural emotional and conversational expressions. The database contains 55 different facial expressions performed by 19 German participants. Expressions were elicited with the help of a method-acting protocol, which guarantees both well-defined and natural facial expressions. The method-acting protocol was based on every-day scenarios, which are used to define the necessary context information for each expression. All facial expressions are available in three repetitions, in two intensities, as well as from three different camera angles. A detailed frame annotation is provided, from which a dynamic and a static version of the database have been created. In addition to describing the database in detail, we also present the results of an experiment with two conditions that serve to validate the context scenarios as well as the naturalness and recognizability of the video sequences. Our results provide clear evidence that conversational expressions can be recognized surprisingly well from visual information alone. The MPI facial expression database will enable researchers from different research fields (including the perceptual and cognitive sciences, but also affective computing, as well as computer vision) to investigate the processing of a wider range of natural facial expressions.     

Correlation of cutaneo-galvanic and voluntary reactions during recognition of emotional facial expressions

The frequency of skin-galvanic (SGR) and motor reactions was analyzed at recognition of human emotional state by mimics. 31 healthy persons and 54 patients with lesions of temporal and frontoparietal areas of both cerebral hemispheres were examined. It has been established that the process of recognition takes place by stages: at first - at intuitive level accompanied by SGR, and then at the level of making decision completed by a motor or verbal reaction. Efficiency of recognition at the first stage does not so much depend on lesion localization as at the second stage. Pathology of the left hemisphere affects mainly the stage of making decision, and of the right one - the process of recognition as a whole.     

Hemispheric asymmetry of visual evoked potentials during human recognition of facial emotional expressions

Visual evoked potentials (VEP) in standard 16 EEG derivations were recorded in 26 young men and 20 women during recognition of facial emotional expressions and geometric figures. The stimuli were presented on a computer screen in the center of the visual field or randomly in the right or left vision hemifields. Peak VEP latency and mean amplitude in 50-ms epochs were measured; spatiotemporal VEP dynamics was analyzed in a series of topographic maps. The right hemisphere was shown to be more important in processing emotional faces. The character of the asymmetry was dynamic: at earlier stages of emotion processing the electrical activity was higher in the right inferior temporal region compared to the left symmetrical site. Later on the activity was higher in the right frontal and central areas. The dynamic mapping of "face-selective" component N180 of VEPs revealed the onset of activation over the right frontal areas that was followed by the fast activation of symmetrical left zones. Notably, this dynamics didn't correlate with the hemifield of stimuli exposition. The degree of asymmetry was lower during presentation of figures, especially in the inferior temporal and frontal regions. The prominent asymmetry of information processes in the inferior temporal and frontal areas was suggested to be specific for recognition of facial expression.     

Prestimulus EEG gamma frequencies during formation of a cognitive set to facial expression

Prestimulus EEG power spectra from different cortical areas in frequency band 1-60 Hz were studied at a stage of formation of the cognitive set to facial expression. Diversity of individual power spectra of baseline EEGs, especially in gamma frequency band 41-60 Hz makes averaging individual spectra impossible. The authors pioneered in finding that, in prestimulus periods, EEG frequencies 41-60 Hz were of higher information value than frequencies 1-20 and 21-40 Hz. The highest power of the gamma frequencies was revealed in the frontal areas of the right hemisphere in subjects with a plastic set. In the group with a rigid set, gamma frequencies of high power prevailed in the posterotemporal and occipital areas of the left hemisphere.     

Comparison of emotion recognition from facial expression and music

The recognition of basic emotions in everyday communication involves interpretation of different visual and auditory clues. The ability to recognize emotions is not clearly determined as their presentation is usually very short (micro expressions), whereas the recognition itself does not have to be a conscious process. We assumed that the recognition from facial expressions is selected over the recognition of emotions communicated through music. In order to compare the success rate in recognizing emotions presented as facial expressions or in classical music works we conducted a survey which included 90 elementary school and 87 high school students from Osijek (Croatia). The participants had to match 8 photographs of different emotions expressed on the face and 8 pieces of classical music works with 8 offered emotions. The recognition of emotions expressed through classical music pieces was significantly less successful than the recognition of emotional facial expressions. The high school students were significantly better at recognizing facial emotions than the elementary school students, whereas girls were better than boys. The success rate in recognizing emotions from music pieces was associated with higher grades in mathematics. Basic emotions are far better recognized if presented on human faces than in music, possibly because the understanding of facial emotions is one of the oldest communication skills in human society. Female advantage in emotion recognition was selected due to the necessity of their communication with the newborns during early development. The proficiency in recognizing emotional content of music and mathematical skills probably share some general cognitive skills like attention, memory and motivation. Music pieces were differently processed in brain than facial expressions and consequently, probably differently evaluated as relevant emotional clues.     

Lipase adsorption as a factor of lipolysis regulation

Sorption isotherms of pancreatic lipase on solid supports were studied. It was shown that the enzyme adsorption can be described by Langmuir equation for hydrophobic surface and by the equation which takes into account reversible dimerization of the protein in the absorption layer for hydrophilic surface. The catalytic properties of adsorbed lipase depend on the nature of solid support. The significant role of the structure of adsorption layer in heterogeneous activation of the enzyme on hydrophobic surface was suggested.     

Molecular electrostatic potential as a factor of drug-receptor recognition

When a drug molecule approaches a non-specific acceptor both molecules are in electrostatic fields of equal sign which prevents drug-acceptor complex formation. At the same time, the drug-acceptor system does not achieve the thermodynamic global minimum. Otherwise, when a certain drug interacts with its specific receptor, mutual compensation of their molecular electrostatic potentials takes place. Then separate atoms and groups of the drug molecule can bind to the receptor. We show that the fundamental role of molecular electrostatic potential in the process of drug-receptor recognition consists in fast correction of errors.     

Changes in emotional face expression recognition caused by an additional visuospatial task

Changes in the recognition of facial expression and spatial synchronization of the cortical electrical activity of the θ- and α-potentials caused by load on working memory were studied in healthy adults by introducing an additional semantic or visuospatial task into the context of experiment with a visual set. An increase in the number of erroneous recognitions of facial stimuli in the form of assimilative illusions was revealed in both types of the additional task. The analysis of the function of coherence of the low-frequency α-potentials indicates (8–10 Hz) a decrease in this situation in the number of connections in the frontal cortical divisions with other cortical zones, which is regarded as a lesser involvement of the frontal system of selective attention in set-forming and set-shifting for an emotionally negative facial expression. Spatial synchronization of the θ-activity (4–7 Hz) with an increase in the load on working memory changes ambiguously in different cortical structures: it decreases in the system of the fronto-temporal connections of the right hemisphere; in the other cortical areas, especially in the left hemisphere, and in the system of interhemispheric connections it substantially increases. The facts confirming the hypothesis that the fronto-thalamic and cortico-hippocampal systems are the two key formations involved in changes in the plasticity of cognitive sets for facial expression are discussed.     

Cognitive neuroscience of emotional memory

Emotional events often attain a privileged status in memory. Cognitive neuroscientists have begun to elucidate the psychological and neural mechanisms underlying emotional retention advantages in the human brain. The amygdala is a brain structure that directly mediates aspects of emotional learning and facilitates memory operations in other regions, including the hippocampus and prefrontal cortex. Emotion-memory interactions occur at various stages of information processing, from the initial encoding and consolidation of memory traces to their long-term retrieval. Recent advances are revealing new insights into the reactivation of latent emotional associations and the recollection of personal episodes from the remote past.     

Additional memory load causes changes in induced EEG beta-rhythm in experiments with a visual set formed to facial expression

Subjects were divided into two equal groups 35 healthy subjects each. Formation of the visual set to facial emotion recognition was supplemented with two types of additional task: either visuospatial (to find a target stimulus among others) or verbal (to tell a word from a pseudoword). The results of the experiments were compared to those obtained in similar experiments without the memory load. Changes in the EEG beta rhythm during visual set forming and testing were studied. The EEG was analyzed by wavelet transformation. Changes in the mean level, maximum and latency of the maximum of wavelet coefficient were rated at different stages of the experiment. All these characteristics for the beta rhythm were higher in experiments with both types of additional memory load as compared to those without the memory load.