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Deciphering the enigmatic face: the importance of facial dynamics in interpreting subtle facial expressions.

Most studies investigating the recognition of facial expressions have focused on static displays of intense expressions. Consequently, researchers may have underestimated the importance of motion in deciphering the subtle expressions that permeate real-life situations. In two experiments, we examined the effect of motion on perception of subtle facial expressions and tested the hypotheses that motion improves affect judgment by (a) providing denser sampling of expressions, (b) providing dynamic information, (c) facilitating configural processing, and (d) enhancing the perception of change. Participants viewed faces depicting subtle facial expressions in four modes (single-static, multi-static, dynamic, and first-last). Experiment 1 demonstrated a robust effect of motion and suggested that this effect was due to the dynamic property of the expression. Experiment 2 showed that the beneficial effect of motion may be due more specifically to its role in perception of change. Together, these experiments demonstrated the importance of motion in identifying subtle facial expressions.

Affect↗

Left hemisphere representations of emotional facial expressions.

Researchers have suggested that the right hemisphere is superior at processing emotional facial expressions because it contains stored perceptual 'templates' of facial expressions. We tested each hemisphere of a split-brain patient on two tasks involving emotional facial expressions. Both hemispheres performed equally well and significantly above chance matching facial expressions with emotion words. The subject's right hemisphere consistently performed well judging whether two facial expressions were the same or different. His left hemisphere performed poorly on this discrimination task at first, but showed a sharp improvement when the instructions were changed slightly, emphasizing verbal labels for the facial expressions. Results suggest that 'facial expression templates' may not be stored only on the right.

Adult↗

Measuring facial expressions by computer image analysis.

Facial expressions provide an important behavioral measure for the study of emotion, cognitive processes, and social interaction. The Facial Action Coding System (Ekman & Friesen, 1978) is an objective method for quantifying facial movement in terms of component actions. We applied computer image analysis to the problem of automatically detecting facial actions in sequences of images. Three approaches were compared: holistic spatial analysis, explicit measurement of features such as wrinkles, and estimation of motion flow fields. The three methods were combined in a hybrid system that classified six upper facial actions with 91% accuracy. The hybrid system outperformed human nonexperts on this task and performed as well as highly trained experts. An automated system would make facial expression measurement more widely accessible as a research tool in behavioral science and investigations of the neural substrates of emotion.

Adult↗

Neuropsychological studies of linguistic and affective facial expressions in deaf signers.

For deaf users of American Sign Language (ASL), facial behaviors function in two distinct ways: to convey affect (as with spoken languages) and to mark certain specific grammatical structures (e.g., relative clauses), thus subserving distinctly linguistic functions in ways that are unique to signed languages. The existence of two functionally different classes of facial behaviors raises questions concerning neural control of language and nonlanguage functions. Examining patterns of neural mediation for differential functions of facial expressions, linguistic versus affective, provides a unique perspective on the determinants of hemispheric specialization. This paper presents two studies which explore facial expression production in deaf signers. An experimental paradigm uses chimeric stimuli of ASL linguistic and affective facial expressions (photographs of right vs. left composites of posed expressions) to explore patterns of productive asymmetries in brain-intact signers. A second study examines facial expression production in left and right brain lesioned deaf signers, specifying unique patterns of spared and impaired functions. Both studies show striking differences between affective and linguistic facial expressions. The data indicate that for deaf signing individuals, affective expressions appear to be primarily mediated by the right-hemisphere. In contrast, these studies provide evidence that linguistic facial expressions involve left hemisphere mediation. This represents an important finding, since one and the same muscular system is involved in two functionally distinct types of facial expressions. For hearing persons, the right-hemisphere may be predominant in affective facial expression, but for deaf signers, hemispheric specialization for facial signals is influenced by the purposes those signals serve. Taken together, the data provide important new insights into the determinants of the specialization of the cerebral hemispheres in humans.

Affect↗

Exogenous cortisol shifts a motivated bias from fear to anger in spatial working memory for facial expressions.

Studies assessing processing of facial expressions have established that cortisol levels, emotional traits, and affective disorders predict selective responding to these motivationally relevant stimuli in expression specific manners. For instance, increased attentional processing of fearful faces (attentional bias for fearful faces) is associated with fear and anxiety and diminishes after administration of the anxiolytic hormone testosterone. Conversely, attentional bias for angry faces has been associated with higher levels of approach motivation (e.g. anger) and testosterone, but lower levels of cortisol. This negative relation between cortisol levels and bias for angry faces was also seen in a test of biased working memory performance. However, previous research suggests that exogenous glucocorticoids acutely decrease fearful and inhibited behavior and increase aggressiveness. Hypothesizing from these findings, the present study tested this spatial working memory for faces of various emotional expressions (neutral, happy, fearful, and angry) after double-blind, placebo-controlled administration of 40 mg cortisol in 18 healthy young men. It was predicted that cortisol would acutely attenuate memory bias for fearful expressions while increasing memory bias for angry expressions, in effect creating a shift in biased motivated memory from fear to anger. Results largely confirmed the hypotheses. This is the first causal evidence that cortisol differentially regulates spatial working memory for different facial expressions. Possible biological mechanisms are discussed.

Adolescent↗

The role of spatial frequency information for ERP components sensitive to faces and emotional facial expression.

To investigate the impact of spatial frequency on emotional facial expression analysis, ERPs were recorded in response to low spatial frequency (LSF), high spatial frequency (HSF), and unfiltered broad spatial frequency (BSF) faces with fearful or neutral expressions, houses, and chairs. In line with previous findings, BSF fearful facial expressions elicited a greater frontal positivity than BSF neutral facial expressions, starting at about 150 ms after stimulus onset. In contrast, this emotional expression effect was absent for HSF and LSF faces. Given that some brain regions involved in emotion processing, such as amygdala and connected structures, are selectively tuned to LSF visual inputs, these data suggest that ERP effects of emotional facial expression do not directly reflect activity in these regions. It is argued that higher order neocortical brain systems are involved in the generation of emotion-specific waveform modulations. The face-sensitive N170 component was neither affected by emotional facial expression nor by spatial frequency information.

Adult↗

Experimental results of affective valence and arousal to avatar's facial expressions.

The objectives of this study were to propose a method of presenting dynamic facial expressions to experimental subjects, in order to investigate human perception of avatar's facial expressions of different levels of emotional intensity. The investigation concerned how perception varies according to the strength of facial expression, as well as according to an avatar's gender. To accomplish these goals, we generated a male and a female virtual avatar with five levels of intensity of happiness and anger using a morphing technique. We then recruited 16 normal healthy subjects and measured each subject's emotional reaction by scoring affective arousal and valence after showing them the avatar's face. Through this study, we were able to investigate human perceptual characteristics evoked by male and female avatars' graduated facial expressions of happiness and anger. In addition, we were able to identify that a virtual avatar's facial expression could affect human emotion in different ways according to the avatar's gender and the intensity of its facial expressions. However, we could also see that virtual faces have some limitations because they are not real, so subjects recognized the expressions well, but were not influenced to the same extent. Although a virtual avatar has some limitations in conveying its emotion using facial expressions, this study is significant in that it shows that a new potential exists to use or manipulate emotional intensity by controlling a virtual avatar's facial expression linearly using a morphing technique. Therefore, it is predicted that this technique may be used for assessing emotional characteristics of humans, and may be of particular benefit for work with people with emotional disorders through a presentation of dynamic expression of various emotional intensities.

Adult↗

Facial expression and sex recognition in schizophrenia and depression.

BACKGROUND: Impaired facial expression recognition in schizophrenia patients contributes to abnormal social functioning and may predict functional outcome in these patients. Facial expression processing involves individual neural networks that have been shown to malfunction in schizophrenia. Whether these patients have a selective deficit in facial expression recognition or a more global impairment in face processing remains controversial. OBJECTIVE: To investigate whether patients with schizophrenia exhibit a selective impairment in facial emotional expression recognition, compared with patients with major depression and healthy control subjects. METHODS: We studied performance in facial expression recognition and facial sex recognition paradigms, using original morphed faces, in a population with schizophrenia (n=29) and compared their scores with those of depression patients (n=20) and control subjects (n=20). RESULTS: Schizophrenia patients achieved lower scores than both other groups in the expression recognition task, particularly in fear and disgust recognition. Sex recognition was unimpaired. CONCLUSION: Facial expression recognition is impaired in schizophrenia, whereas sex recognition is preserved, which highly suggests an abnormal processing of changeable facial features in this disease. A dysfunction of the top-down retrograde modulation coming from limbic and paralimbic structures on visual areas is hypothesized.

Adolescent↗

Brain responses to dynamic facial expressions of pain.

The facial expression of pain is a prominent non-verbal pain behaviour, unique and distinct from the expression of basic emotions. Yet, little is known about the neurobiological basis for the communication of pain. Here, subjects performed a sex-discrimination task while we investigated neural responses to implicit processing of dynamic visual stimuli of male or female faces displaying pain or angry expressions, matched on expression intensity and compared to neutral expression. Stimuli were presented in a mixed blocked/event-related design while blood oxygenation level dependent (BOLD) signal was acquired using whole-brain functional magnetic resonance imaging (fMRI) at 1.5 Tesla. Comparable sustained responses to pain and angry faces were found in the superior temporal sulcus (STS). Stronger transient activation was also observed to male expression of pain (Vs neutral and anger) in high-order visual areas (STS and fusiform face area) and in emotion-related areas including the amygdala (highest peak t-value=10.8), perigenual anterior cingulate cortex (ACC), and SI. Male pain compared to anger expression also activated the ventromedial prefrontal cortex, SII/posterior insula and anterior insula. This is consistent with the hypothesis that the implicit processing of male pain expression triggers an emotional reaction characterized by a threat-related response. Unexpectedly, several areas responsive to male expression, including the amygdala, perigenual ACC, and somatosensory areas, showed a decrease in activation to female pain faces (Vs neutral). This sharp contrast in the response to male and female faces suggests potential differences in the socio-functional role of pain expression in males and females.

Adult↗

Explicit and implicit neural mechanisms for processing of social information from facial expressions: a functional magnetic resonance imaging study.

The processing of changing nonverbal social signals such as facial expressions is poorly understood, and it is unknown if different pathways are activated during effortful (explicit), compared to implicit, processing of facial expressions. Thus we used fMRI to determine which brain areas subserve processing of high-valence expressions and if distinct brain areas are activated when facial expressions are processed explicitly or implicitly. Nine healthy volunteers were scanned (1.5T GE Signa with ANMR, TE/TR 40/3,000 ms) during two similar experiments in which blocks of mixed happy and angry facial expressions ("on" condition) were alternated with blocks of neutral faces (control "off" condition). Experiment 1 examined explicit processing of expressions by requiring subjects to attend to, and judge, facial expression. Experiment 2 examined implicit processing of expressions by requiring subjects to attend to, and judge, facial gender, which was counterbalanced in both experimental conditions. Processing of facial expressions significantly increased regional blood oxygenation level-dependent (BOLD) activity in fusiform and middle temporal gyri, hippocampus, amygdalohippocampal junction, and pulvinar nucleus. Explicit processing evoked significantly more activity in temporal lobe cortex than implicit processing, whereas implicit processing evoked significantly greater activity in amygdala region. Mixed high-valence facial expressions are processed within temporal lobe visual cortex, thalamus, and amygdalohippocampal complex. Also, neural substrates for explicit and implicit processing of facial expressions are dissociable: explicit processing activates temporal lobe cortex, whereas implicit processing activates amygdala region. Our findings confirm a neuroanatomical dissociation between conscious and unconscious processing of emotional information.

Adult↗

Recognition of affective and noncanonical linguistic facial expressions in hearing and deaf subjects.

This study explores the use of two types of facial expressions, linguistic and affective, in a lateralized recognition accuracy test with hearing and deaf subjects. The linguistic expressions represent unfamiliar facial expression for the hearing subjects whereas they serve as meaningful linguistic emblems for deaf signers. Hearing subjects showed left visual field advantages for both types of signals while deaf subjects' visual field asymmetries were greatly influenced by the order of presentation. The results suggest that for hearing persons, the right hemisphere may predominate in the recognition of all forms of facial expression. For deaf signers, hemispheric specialization for the processing of facial signals may be influenced by the differences these signals serve in this population. The use of noncanonical facial signals in laterality paradigms is encouraged as it provides an additional avenue of exploration into the underlying determinants of hemispheric specialization for recognition of facial expression.

Adult↗

Improving the ability of elementary school-age children to identify emotion in facial expression.

The authors evaluated an intervention program developed to remediate children's deficits in reading emotions in facial expressions. Thirty children from 2 elementary schools in suburban Atlanta participated in 6 30-min sessions over 4 weeks in which they were taught to discriminate, identify, express, and apply facial expression cues. The ability to read emotion in facial expressions significantly improved for the intervention group compared with the control group. Improvement on identifying facial expressions was associated with increased feelings of lower social anxiety and higher self-worth for girls. Boys' self-concept was negatively related to improvement. On the basis of the results, the authors suggested that structured interventions like the present one could be used to improve students' nonverbal processing abilities within public school settings, but with some cautions regarding the impact of new learning for boys.

Child↗

Effects of facial expression on shared attention mechanisms.

We investigated the effects of facial expression on shared attention mechanisms. A female or male facial stimulus with one of 3 facial expressions (happiness, neutral, or anger) was presented at the center of a display. This facial stimulus gazed toward a subject, or toward the left or right side of the display. After the facial stimulus was offset, a target appeared on the left or right side of the display and the reaction time to the target was measured. In the statistical analysis by ANOVA, there was a significant main effect of congruity between the target position and the gaze direction in both the female and male facial cues, indicating that gaze direction significantly affected reaction time. When the female facial cues were presented, the reaction times for the congruent target position to the gaze direction were significantly shorter in the happy than other facial expressions. However, there were no significant differences in reaction time when the facial stimuli were presented in an inverted orientation. The results demonstrated that facial expression significantly affected shared attention mechanisms.

Adult↗

Enhancing the recognition and production of facial expressions of emotion by children with mental retardation.

The ability to recognize and respond appropriately to facial expressions of emotion is essential for interpersonal interaction. Individuals with mental retardation have problems not only in recognizing but also in accurately producing facial expressions of emotion. In Experiment 1, directed rehearsal was used to teach six boys with mild and moderate mental retardation to increase their ability to recognize facial expressions of emotion. In addition, their ability to produce the six basic facial expressions of emotion was periodically assessed throughout the study. The results showed that the boys' accuracy in recognizing facial expressions of emotion increased rapidly with instruction and that their increased accuracy was maintained at 8- and 12-week assessments following the termination of instruction. However, their increased levels of recognition did not generalize to the production of these emotions. In Experiment 2, four boys who had participated in the first study were provided with directed rehearsal training in the production of the six basic facial expressions of emotion. Their ability to produce facial expressions of emotion increased with instruction and was maintained following the termination of instruction. In addition, independent raters judged that the boys' production of these emotions matched the emotions that they were required to produce, suggesting a socially valid behavior change. These studies showed that the ability of children with mental retardation to recognize and produce facial expressions of emotion can be enhanced through instruction.

Adolescent↗

Neural organization for recognition of grammatical and emotional facial expressions in deaf ASL signers and hearing nonsigners.

Recognition of emotional facial expressions is universal for all humans, but signed language users must also recognize certain non-affective facial expressions as linguistic markers. fMRI was used to investigate the neural systems underlying recognition of these functionally distinct expressions, comparing deaf ASL signers and hearing nonsigners. Within the superior temporal sulcus (STS), activation for emotional expressions was right lateralized for the hearing group and bilateral for the deaf group. In contrast, activation within STS for linguistic facial expressions was left lateralized only for signers and only when linguistic facial expressions co-occurred with verbs. Within the fusiform gyrus (FG), activation was left lateralized for ASL signers for both expression types, whereas activation was bilateral for both expression types for nonsigners. We propose that left lateralization in FG may be due to continuous analysis of local facial features during on-line sign language processing. The results indicate that function in part drives the lateralization of neural systems that process human facial expressions.

Adult↗

Active and dynamic information fusion for facial expression understanding from image sequences.

This paper explores the use of multisensory information fusion technique with Dynamic Bayesian networks (DBNs) for modeling and understanding the temporal behaviors of facial expressions in image sequences. Our facial feature detection and tracking based on active IR illumination provides reliable visual information under variable lighting and head motion. Our approach to facial expression recognition lies in the proposed dynamic and probabilistic framework based on combining DBNs with Ekman's Facial Action Coding System (FACS) for systematically modeling the dynamic and stochastic behaviors of spontaneous facial expressions. The framework not only provides a coherent and unified hierarchical probabilistic framework to represent spatial and temporal information related to facial expressions, but also allows us to actively select the most informative visual cues from the available information sources to minimize the ambiguity in recognition. The recognition of facial expressions is accomplished by fusing not only from the current visual observations, but also from the previous visual evidences. Consequently, the recognition becomes more robust and accurate through explicitly modeling temporal behavior of facial expression. In this paper, we present the theoretical foundation underlying the proposed probabilistic and dynamic framework for facial expression modeling and understanding. Experimental results demonstrate that our approach can accurately and robustly recognize spontaneous facial expressions from an image sequence under different conditions.

Algorithms↗

Categorical perception of facial expressions.

People universally recognize facial expressions of happiness, sadness, fear, anger, disgust, and perhaps, surprise, suggesting a perceptual mechanism tuned to the facial configuration displaying each emotion. Sets of drawings were generated by computer, each consisting of a series of faces differing by constant physical amounts, running from one emotional expression to another (or from one emotional expression to a neutral face). Subjects discriminated pairs of faces, then, in a separate task, categorized the emotion displayed by each. Faces within a category were discriminated more poorly than faces in different categories that differed by an equal physical amount. Thus emotional expressions, like colors and speech sounds, are perceived categorically, not as a direct reflection of their continuous physical properties.

Adult↗

[Emotional facial expression recognition impairment in Parkinson disease].

INTRODUCTION: some behavioral disturbances observed in Parkinson's disease (PD) could be related to impaired recognition of various social messages particularly emotional facial expressions. METHOD: facial expression recognition was assessed using morphed faces (five emotions: happiness, fear, anger, disgust, neutral), and compared to gender recognition and general cognitive assessment in 12 patients with Parkinson's disease and 14 controls subjects. RESULTS: facial expression recognition was impaired among patients, whereas gender recognitions, visuo-perceptive capacities and total efficiency were preserved. Post hoc analyses disclosed a deficit for fear and disgust recognition compared to control subjects. CONCLUSION: the impairment of emotional facial expression recognition in PD appears independent of other cognitive deficits. This impairment may be related to the dopaminergic depletion in basal ganglia and limbic brain regions. They could take a part in psycho-behavioral disorders and particularly in communication disorders observed in Parkinson's disease patients.

Aged↗