Regular ArticleNeural Activation during Covert Processing of Positive Emotional Facial Expressions
Abstract
Lesion studies indicate distinct neural systems for recognition of facial identity and emotion. Split-brain experiments also suggest that emotional evaluation of a stimulus can occur without conscious identification. The present study tested a hypothesis of a differential neural response, independent of explicit conscious mediation, to emotional compared to nonemotional faces. The experimental paradigm involved holding in mind an image of a face across a 45-s delay while regional cerebral blood flow was measured using positron emission tomography. Prior to the delay, a single face was presented with an explicit instruction to match it to one of two faces, photographed at different angles from the target face, presented at the end of the delay. Repeated blood flow measures were obtained while subjects held happy or neutral faces in mind or during a neutral control fixation condition without initial face presentation. The representation of emotional faces over a delay period, compared to either the nonemotional or the fixation condition, was associated with significant activation in the left ventral prefrontal cortex, the left anterior cingulate cortex, and the right fusiform gyrus. The findings support our hypothesis of a differential neural response to facial emotion, independent of conscious mediation, in regions implicated in the processing of faces and of emotions.
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Caudate hyperactivation during the processing of happy faces in borderline personality disorder
2021, NeuropsychologiaEmotion dysfunction and anhedonia are main problems in borderline personality disorder (BPD). In the present functional magnetic resonance imaging (fMRI) study, we investigated neural activation during the processing of happy faces and its correlates with habitual emotion acceptance in patients with BPD.
22 women with BPD and 26 female healthy controls watched movie clips of happy and neutral faces during fMRI without any instruction of emotion regulation. To associate neural activation with habitual emotion acceptance, we included individual scores of the Emotion Acceptance Questionnaire (EAQ) as a covariate in brain data analysis.
All participants showed amygdala, temporal and occipital activation during the processing of happy compared to neutral faces. Compared with healthy controls, patients with BPD showed significantly more activation within the bilateral caudate. We did not find significant correlations with emotion acceptance.
Our results indicate caudate hyperactivation in patients with BPD during the processing of happy faces. Although patients reported significantly less emotion acceptance of positive emotions, an association with neural activation was not detectable.
Facial expression recognition: A meta-analytic review of theoretical models and neuroimaging evidence
2021, Neuroscience and Biobehavioral ReviewsDiscrimination of facial expressions is an elementary function of the human brain. While the way emotions are represented in the brain has long been debated, common and specific neural representations in recognition of facial expressions are also complicated. To examine brain organizations and asymmetry on discrete and dimensional facial emotions, we conducted an activation likelihood estimation meta-analysis and meta-analytic connectivity modelling on 141 studies with a total of 3138 participants. We found consistent engagement of the amygdala and a common set of brain networks across discrete and dimensional emotions. The left-hemisphere dominance of the amygdala and AI across categories of facial expression, but category-specific lateralization of the vmPFC, suggesting a flexibly asymmetrical neural representations of facial expression recognition. These results converge to characteristic activation and connectivity patterns across discrete and dimensional emotion categories in recognition of facial expressions. Our findings provide the first quantitatively meta-analytic brain network-based evidence supportive of the psychological constructionist hypothesis in facial expression recognition.
Automated emotion classification in the early stages of cortical processing: An MEG study
2021, Artificial Intelligence in MedicineCitation Excerpt :Features were selected during 100–200 ms in this study, mostly located in the anterior area of the brain. This finding is in line with previous studies that have suggested that the anterior area seems to be a critical part of emotion processing [46–49]. The Orbitofrontal region, in particular, can exhibit very rapid responses to emotionally salient stimuli [5].
Here we aimed to automatically classify human emotion earlier than is typically attempted. There is increasing evidence that the human brain differentiates emotional categories within 100–300 ms after stimulus onset. Therefore, here we evaluate the possibility of automatically classifying human emotions within the first 300 ms after the stimulus and identify the time-interval of the highest classification performance.
To address this issue, MEG signals of 17 healthy volunteers were recorded in response to three different picture stimuli (pleasant, unpleasant, and neutral pictures). Six Linear Discriminant Analysis (LDA) classifiers were used based on two binary comparisons (pleasant versus neutral and unpleasant versus neutral) and three different time-intervals (100–150 ms, 150–200 ms, and 200–300 ms post-stimulus). The selection of the feature subsets was performed by Genetic Algorithm and LDA.
We demonstrated significant classification performances in both comparisons. The best classification performance was achieved with a median AUC of 0.83 (95 %- CI [0.71; 0.87]) classifying brain responses evoked by unpleasant and neutral stimuli within 100–150 ms, which is at least 850 ms earlier than attempted by other studies.
Our results indicate that using the proposed algorithm, brain emotional responses can be significantly classified at very early stages of cortical processing (within 300 ms). Moreover, our results suggest that emotional processing in the human brain occurs within the first 100–150 ms.
Blunted neural response to emotional faces in the fusiform and superior temporal gyrus may be marker of emotion recognition deficits in pediatric epilepsy
2020, Epilepsy and BehaviorIndividuals with epilepsy are at risk for social cognition deficits, including impairments in the ability to recognize nonverbal cues of emotion (i.e., emotion recognition [ER] skills). Such deficits are particularly pronounced in adult patients with childhood-onset seizures and are already evident in children and adolescents with epilepsy. Though these impairments have been linked to blunted neural response to emotional information in faces in adult patients, little is known about the neural correlates of ER deficits in youth with epilepsy. The current study compared ER accuracy and neural response to emotional faces during functional magnetic resonance imaging (fMRI) in youth with intractable focal epilepsy and typically developing youth. Relative to typically developing participants, individuals with epilepsy showed a) reduced accuracy in the ER task and b) blunted response to emotional faces (vs. neutral faces) in the bilateral fusiform gyri and right superior temporal gyrus (STG). Activation in these regions was correlated with performance, suggesting that aberrant response within these face-responsive regions may play a functional role in ER impairments. Reduced engagement of neural circuits relevant to processing socioemotional cues may be markers of risk for social cognitive deficits in youth with focal epilepsy.
The Preponderant Role of Fusiform Face Area for the Facial Expression Confusion Effect: An MEG Study
2020, NeuroscienceAlthough the recognition of facial expressions seems automatic and effortless, discrimination of expressions can still be error prone. Common errors are often due to visual similarities between some expressions (e.g., fear and surprise). However, little is known about the neural mechanisms underlying such a confusion effect. To address this question, we recorded the magnetoencephalography (MEG) while participants judged facial expressions that were either easily confused with or easily distinguished from other expressions. The results showed that the fusiform face area (FFA), rather than the posterior superior temporal sulcus (pSTS), played a preponderant role in discriminating confusable facial expressions. No difference between high confusion and low confusion conditions was observed on the M170 component in either the FFA or the pSTS, whilst a difference between two conditions started to emerge in the late positive potential (LPP), with the low confusion condition eliciting a larger LPP amplitude in the FFA. In addition, the power of delta was stronger in the time window of LPP component. This confusion effect was reflected in the FFA, which might be associated with the perceptual-to-conceptual shift.
The cingulate cortex and limbic systems for action, emotion, and memory
2019, Handbook of Clinical NeurologyDifferent limbic structures including the hippocampal memory system and the amygdala/orbitofrontal emotion system have very different connectivity and functions, and it has been suggested that we should no longer think of a single limbic system. A framework is provided for understanding the connectivity and functions of different parts of the cingulate cortex in action, emotion, and memory, in the context of connections of different parts of the cingulate cortex with other limbic and neocortical structures. First, the anterior cingulate cortex receives information from the orbitofrontal cortex about reward and nonreward outcomes. The posterior cingulate cortex receives action-related and spatial information from parietal cortical areas. It is argued that these are inputs that allow the cingulate cortex to perform action-outcome learning, with outputs from the midcingulate motor area to premotor areas. Damage to the anterior cingulate cortex impairs action-outcome learning and emotion because of its reward-related representations. Second, the posterior cingulate cortex provides “action” and “spatial” information from the parietal cortex into the hippocampal memory system via the parahippocampal gyrus, and the anterior cingulate cortex (receiving from the orbitofrontal cortex) provides reward-related input into the hippocampal memory system via the posterior cingulate and parahippocampal gyrus. Thus posterior cingulate damage can impair hippocampal episodic memory and retrieval, especially the spatial component. These functions are related to the place of this proisocortical limbic region in brain connectivity.