Emotion Identification Task Research Articles

Emotion understanding among institutionalized preschool children in India: A visual-based approach.

The present study aimed to develop two visual tasks to assess the emotion understanding of institutionalized preschool children in India. To enhance the psychometric qualities of both tasks, content validity and inter-rater reliability assessments, translation-back translation and a rigorous peer review process were undertaken. In addition, the tool's components were mapped with institutionalized children's everyday experiences to help them better relate to the task. The tool development phase was followed by the assessment phase. Eighteen participants (nine males, nine females) aged 3-6 years were purposefully selected from three childcare institutions. The emotion identification task required children to identify the correct emotions from the cartoon characters' facial expressions and gestures, whereas, in the emotion situation task, children were asked to infer others' emotions from a vignette depicted by a picture card. Children's responses were videotaped, analysed and coded for both tasks. The study's key findings revealed that institutionalized children responded more accurately to emotion situation tasks yet struggled to identify sadness, anger and fear emotions compared to happiness. Furthermore, qualitative insights provided a comprehensive understanding and interpretation of the findings.

Autistic and non-autistic adults use discourse context to determine a speaker's intention to request.

The current study focuses on how autistic adults utilize context to determine whether ambiguous utterances (e.g., "I'm thirsty") are intended as indirect requests or as literal comment/questions. Two questions are addressed: (1) How do autistic adults compare to neurotypical adults in using context to interpret an utterance's intention as either literal or a request? (2) What cognitive mechanisms correlate with indirect request interpretation, and are these different for participants in each group? Twenty-six autistic and 26 neurotypical college students participated, engaging in an online experiment where they read narratives that ended with utterances open to literal or request interpretations, based on context. After each narrative, participants selected the best paraphrase of the utterance from two options, literal versus request. Following this task, participants completed two mentalizing measures (a false belief and emotion-identification task) and several executive functioning tests. The best model for predicting paraphrase choice included scores on the emotion-identification task and context as main effects, along with the interaction between both. Participants with higher emotion-identification test scores were more likely to provide correct paraphrases. Models including group as a main effect and/or interaction were not better at fitting the data, nor were any models that included executive functioning measures as main effects or interactions. Emotion-identification test scores, but not autism diagnosis, predict how adults infer whether an utterance is a request. Findings suggest that autistic adults use context similarly to neurotypical adults when interpreting requests, and that similar processes underlie performance for each group.

Intermittent theta burst stimulation with synchronised transcranial alternating current stimulation leads to enhanced frontal theta oscillations and a positive shift in emotional bias

Abstract Repetitive transcranial magnetic stimulation (rTMS), delivered to left dorsolateral prefrontal cortex, is an FDA-approved, and NICE-recommended, neuromodulation therapy for major depressive disorder (MDD). However, there is considerable inter-individual variability in rate and extent of clinical response, leading to a focus on approaches for optimising its effectiveness. We present findings from a non-patient study evaluating an approach that combines an efficient type of rTMS—“intermittent theta burst stimulation” (iTBS)—with a second neuromodulation technique—“transcranial alternating current stimulation” (tACS). tACS is delivered in synchrony with the iTBS with the intent of optimising the brain state during stimulation. In four separate sessions, we delivered 3 minutes of iTBS+tACS, iTBS+sham, sham+tACS, or double sham. We measured changes from pre- to post-stimulation in brain theta (4–8 Hz) oscillatory activity using electroencephalography, and we measured emotional bias post-stimulation using a well-studied emotion identification task. Theta activity has previously shown relationships with response to rTMS, and emotional bias has been proposed as a marker of potential antidepressant efficacy. We found that frontal theta power was enhanced following the dual therapy, building up over the 15-minute post-stimulation period to exceed that following either stimulation technique alone or double sham. Emotional bias, measured 20 minutes post-stimulation, was also significantly more positive following dual therapy. These findings indicate that tACS-synchronised iTBS (tsiTBS) holds promise as an augmentation approach for rTMS, which awaits validation in multi-session patient studies.

Effect of mindfulness-based cognitive therapy vs. psychoeducational intervention on plasma brain-derived neurotrophic factor and cognitive function in bipolar patients: a randomized controlled trial.

Few controlled trials have assessed the benefits of Mindfulness Based Cognitive Therapy (MBCT) on cognitive functions and brain-derived neurotrophic factor (BDNF) in bipolar disorder (BD). This study aims to evaluate the impact of MBCT adjunctive treatment on these variables. Main hypothesis was that MBCT would improve cognitive functioning and BDNF more than Psychoeducation and TAU. Randomized, multicenter, prospective and single-blinded trial. Included BD outpatients randomly assigned to three treatment arms: MBCT plus treatment as usual (TAU), Psychoeducation plus Tau and TAU. Cognitive functions were assessed with Continuous Performance Test-III, Stroop Test, Trail Making Test, Digit Span and Letter-Number Sequencing from Wechsler Adult Intelligence Scale III, Face Emotion Identification Task and Face Emotion Discrimination Task. BDNF serum level was measured with ELISA. Patients were assessed at baseline, 8 weeks and 6 months. Eighty-four patients were recruited (TAU = 10, Psychoeducation = 34, MBCT = 40). No significant differences between treatment groups were found. MBCT does not achieve better results than Psychoeducation or TAU. Being Psychoeducation and TAU efficient interventions, as well as the scarce duration of a more complex intervention, such as MBCT, are suggested as explanatory variables of these results. ClinicalTrials.gov: NCT02133170. Registered 04/30/2014.

SAGN: Sparse Adaptive Gated Graph Neural Network With Graph Regularization for Identifying Dual-View Brain Networks.

Due to the absence of a gold standard for threshold selection, brain networks constructed with inappropriate thresholds risk topological degradation or contain noise connections. Therefore, graph neural networks (GNNs) exhibit weak robustness and overfitting problems when identifying brain networks. Furthermore, existing studies have predominantly focused on strongly coupled connections, neglecting substantial evidence from other intricate systems that highlight the value of weakly coupled connections. Consequently, the potential of weakly coupled brain networks remains untapped. In this study, we pioneeringly construct weakly coupled brain networks and validate their values in emotion identification tasks. Subsequently, we propose a sparse adaptive gated GNN (SAGN) that can simultaneously perceive the valuable topology of dual-view (i.e., strongly coupled and weakly coupled) brain networks. The SAGN contains a sparse adaptive global receptive field. Moreover, SAGN employs a gated mechanism with feature enhancement and adaptive noise suppression capabilities. To address the lack of inductive bias and the large capacity of SAGN, a graph regularization term built with prior topology of dual-view brain networks is introduced to enhance generalization. Besides a public dataset (SEED), we also built a custom dataset (MuSer) with 60 subjects to evaluate weakly coupled brain networks' value and validate the SAGN's performance. Experiments demonstrate that brain physiological patterns associated with different emotional states are separable and rooted in weakly coupled brain networks. In addition, SAGN exhibits excellent generalization and robustness in identifying brain networks.

Emotion-Semantic-Aware Dual Contrastive Learning for Epistemic Emotion Identification of Learner-Generated Reviews in MOOCs.

Identifying the epistemic emotions of learner-generated reviews in massive open online courses (MOOCs) can help instructors provide adaptive guidance and interventions for learners. The epistemic emotion identification task is a fine-grained identification task that contains multiple categories of emotions arising during the learning process. Previous studies only consider emotional or semantic information within the review texts alone, which leads to insufficient feature representation. In addition, some categories of epistemic emotions are ambiguously distributed in feature space, making them hard to be distinguished. In this article, we present an emotion-semantic-aware dual contrastive learning (ES-DCL) approach to tackle these issues. In order to learn sufficient feature representation, implicit semantic features and human-interpretable emotional features are, respectively, extracted from two different views to form complementary emotional-semantic features. On this basis, by leveraging the experience of domain experts and the input emotional-semantic features, two types of contrastive losses (label contrastive loss and feature contrastive loss) are formulated. They are designed to train the discriminative distribution of emotional-semantic features in the sample space and to solve the anisotropy problem between different categories of epistemic emotions. The proposed ES-DCL is compared with 11 other baseline models on four different disciplinary MOOCs review datasets. Extensive experimental results show that our approach improves the performance of epistemic emotion identification, and significantly outperforms state-of-the-art deep learning-based methods in learning more discriminative sentence representations.

A Cantonese Audio-Visual Emotional Speech (CAVES) dataset

We present a Cantonese emotional speech dataset that is suitable for use in research investigating the auditory and visual expression of emotion in tonal languages. This unique dataset consists of auditory and visual recordings of ten native speakers of Cantonese uttering 50 sentences each in the six basic emotions plus neutral (angry, happy, sad, surprise, fear, and disgust). The visual recordings have a full HD resolution of 1920 × 1080 pixels and were recorded at 50 fps. The important features of the dataset are outlined along with the factors considered when compiling the dataset. A validation study of the recorded emotion expressions was conducted in which 15 native Cantonese perceivers completed a forced-choice emotion identification task. The variability of the speakers and the sentences was examined by testing the degree of concordance between the intended and the perceived emotion. We compared these results with those of other emotion perception and evaluation studies that have tested spoken emotions in languages other than Cantonese. The dataset is freely available for research purposes.

Alprazolam modulates persistence energy during emotion processing in first-degree relatives of individuals with schizophrenia: a network control study

Schizophrenia is marked by deficits in facial affect processing associated with abnormalities in GABAergic circuitry, deficits also found in first-degree relatives. Facial affect processing involves a distributed network of brain regions including limbic regions like amygdala and visual processing areas like fusiform cortex. Pharmacological modulation of GABAergic circuitry using benzodiazepines like alprazolam can be useful for studying this facial affect processing network and associated GABAergic abnormalities in schizophrenia. Here, we use pharmacological modulation and computational modeling to study the contribution of GABAergic abnormalities toward emotion processing deficits in schizophrenia. Specifically, we apply principles from network control theory to model persistence energy – the control energy required to maintain brain activation states – during emotion identification and recall tasks, with and without administration of alprazolam, in a sample of first-degree relatives and healthy controls. Here, persistence energy quantifies the magnitude of theoretical external inputs during the task. We find that alprazolam increases persistence energy in relatives but not in controls during threatening face processing, suggesting a compensatory mechanism given the relative absence of behavioral abnormalities in this sample of unaffected relatives. Further, we demonstrate that regions in the fusiform and occipital cortices are important for facilitating state transitions during facial affect processing. Finally, we uncover spatial relationships (i) between regional variation in differential control energy (alprazolam versus placebo) and (ii) both serotonin and dopamine neurotransmitter systems, indicating that alprazolam may exert its effects by altering neuromodulatory systems. Together, these findings provide a new perspective on the distributed emotion processing network and the effect of GABAergic modulation on this network, in addition to identifying an association between schizophrenia risk and abnormal GABAergic effects on persistence energy during threat processing.

Effects of Face Masks on Emotion Interpretation in Socially Anxious Individuals

Previous research has found emotion interpretation biases in individuals with social anxiety (SA) when emotions are ambiguous. Additionally, research has shown that face masks impair emotion recognition. The present within-subjects, quasi-experimental study examined the impact of face masks on emotion identification in individuals with SA. After pre-screening using a brief SA scale (the SIAS-6, a shortened version of the Social Interaction Anxiety Scale), 92 undergraduate students with qualifying SA scores completed an emotion identification task. The task included images of masked and unmasked individuals expressing four emotions. Results indicated impaired accuracy for all types of masked trials. When examining incorrect choice selections, it was found that neutral masked faces were misinterpreted as sad or fearful significantly more than their unmasked counterparts, suggesting a mask-specific interpretation bias. In relation to previous research on SA and hypervigilance for threat faces, when considering all masked trials, accuracy was highest for masked angry trials. While this study was limited in that it did not include a non-anxious group, the results have interesting implications. Importantly, the present findings suggest that some previously identified SA-related emotion interpretation characteristics persist when viewing masked faces (e.g., hypervigilance for threats), while others do not (e.g., default bias for interpreting neutral as hostile). Future research should focus on elucidating the causes of the present results, which are important to this population and clinicians, as socially anxious individuals attribute greater social cost to negative emotions; thus, misinterpretation of emotions as negative may be detrimental to their mental health.

Effects of aging on face processing: An ERP study of the own-age bias with neutral and emotional faces

Older adults systematically show an enhanced N170 amplitude during the visualization of facial expressions of emotion. The present study aimed to replicate this finding, further investigating if this effect is specific to facial stimuli, present in other neural correlates of face processing, and modulated by own-age faces. To this purpose, younger (n=25; Mage=28.36), middle-aged (n=23; Mage=48.74), and older adults (n=25; Mage=67.36) performed two face/emotion identification tasks during an EEG recording. The results showed that groups did not differ regarding P100 amplitude, but older adults had increased N170 amplitude for both facial and non-facial stimuli. The event-related potentials analysed were not modulated by an own-age bias, but older faces elicited larger N170 in the Emotion Identification Task for all groups. This increased amplitude may reflect a higher ambiguity of older faces due to age-related changes in their physical features, which may elicit higher neural resources to decode. Regarding P250, older faces elicited decreased amplitudes than younger faces, which may reflect a reduced processing of the emotional content of older faces. This interpretation is consistent with the lower accuracy obtained for this category of stimuli across groups. These results have important social implications and suggest that aging may hamper the neural processing of facial expressions of emotion, especially for own-age peers.

Context- and Sentiment-Aware Networks for Emotion Recognition in Conversation

Emotion recognition in conversation (ERC) has promising potential in many fields, such as recommendation systems, man–machine interaction, and medical care. In contrast to other emotion identification tasks, conversation is essentially a process of dynamic interaction in which people often convey emotional messages relying on context and common-sense knowledge. In this article, we propose a context- and sentiment-aware framework, termed Sentic GAT, to solve this challenge. In Sentic GAT, common-sense knowledge is dynamically represented by the context- and sentiment-aware graph attention mechanism based on sentimental consistency, and context information is captured by the dialogue transformer (DT) with hierarchical multihead attention (HMAT), where HMAT is used to obtain the dependency of historical utterances on themselves and other utterances for better context representation. Additionally, we explore a contrastive loss to discriminate context-free and context-sensitive utterances in emotion identification to enhance context representation in straightforward conversations that directly express ideas. The experimental results show that context and sentimental information can promote the representation of common-sense knowledge, and the intra- and inter-dependency of contextual utterances effectively improve the performance of Sentic GAT. Moreover, our Sentic GAT using emotional intensity outperforms the most advanced model on the tested datasets.

Chung-Ang Auditory Database of Korean Emotional Speech: A Validated Set of Vocal Expressions With Different Intensities

A growing body of evidence indicates that intensity plays a role in emotion perception. However, only a few databases have been explicitly designed to provide emotional stimuli that are expressed at varying intensities. We developed and validated a Korean audio-only database of emotional expressions. Eighteen actors were recorded using twenty-five sentences with strong and moderate intensities for “neutral,” “happiness,” “sadness,” “anger,” “fear,” and “boredom” emotions. Twenty-five native Korean-speaking adults completed the emotion identification and naturalness rating tasks. All listeners were presented with the full set of 5400 recordings in a six-alternative forced-choice paradigm, yielding 135000 judgements for identification and naturalness, respectively. Raw and unbiased hit rates were calculated, with identification responses significantly above chance level for every emotion at both intensities. The overall raw hit rates reached 87% and 78% for the strong and moderate stimuli, respectively, indicating that strong emotional expressions were more accurately identified than their moderate counterparts. Similarly, a recognition advantage for strong intensity over moderate intensity was observed for each emotion at both intensities. High inter- and intra-rater reliabilities were found in listeners’ identifying emotion categories and assigning naturalness ratings, respectively. Further, there was a strong association between identification accuracy and the degree of naturalness; more natural variants of an emotion were more accurately identified than its less natural counterparts. These results confirm that the proposed database will serve as a valuable source for emotion research. This database is available for research purposes upon request from the corresponding author.

Cognitive mechanisms influencing facial emotion processing in psychopathy and externalizing.

Psychopathy and externalizing are distinct forms of disinhibitory psychopathology whose destructive social behaviors are thought to be underpinned by different aberrations in social cognition. Facial emotion processing is a foundational component of social cognition, yet previous studies on facial emotion processing in psychopathy and externalizing have focused on traditional behavioral measures (e.g., response accuracy), which have limited reliability and precision. Diffusion modeling is a valuable tool for elucidating more reliable and precise sources of performance differences because it estimates parameters that reflect latent cognitive processes, including bias, drift rate (efficiency of evidence accumulation), threshold separation (extent of evidence accumulation), and nondecision time (time spent on non-decision-related processes such as stimulus encoding and motor response execution). In a sample of 92 incarcerated males, we applied diffusion modeling to an emotion identification task in which ambiguous blends of anger, happiness, and fear were identified while contextual threat (i.e., apparent movement of faces) was manipulated. Results indicated that psychopathy was associated with longer nondecision time (i.e., slower processing) across all the emotion blends in the task and particularly for mostly angry faces under greater ambiguity. In direct contrast, externalizing was associated with shorter nondecision time (i.e., faster processing) as well as greater threshold separation (i.e., more extensive evidence accumulation) for mostly angry faces under greater ambiguity, but this pattern of preferential processing of anger was only evident in the absence of contextual threat. These findings link psychopathy and externalizing to different profiles of cognitive processes influencing facial emotion processing. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Altered functional brain dynamics in chromosome 22q11.2 deletion syndrome during facial affect processing

Chromosome 22q11.2 deletion syndrome (22q11.2DS) is a multisystem disorder associated with multiple congenital anomalies, variable medical features, and neurodevelopmental differences resulting in diverse psychiatric phenotypes, including marked deficits in facial memory and social cognition. Neuroimaging in individuals with 22q11.2DS has revealed differences relative to matched controls in BOLD fMRI activation during facial affect processing tasks. However, time-varying interactions between brain areas during facial affect processing have not yet been studied with BOLD fMRI in 22q11.2DS. We applied constrained principal component analysis to identify temporally overlapping brain activation patterns from BOLD fMRI data acquired during an emotion identification task from 58 individuals with 22q11.2DS and 58 age-, race-, and sex-matched healthy controls. Delayed frontal-motor feedback signals were diminished in individuals with 22q11.2DS, as were delayed emotional memory signals engaging amygdala, hippocampus, and entorhinal cortex. Early task-related engagement of motor and visual cortices and salience-related insular activation were relatively preserved in 22q11.2DS. Insular activation was associated with task performance within the 22q11.2DS sample. Differences in cortical surface area, but not cortical thickness, showed spatial alignment with an activation pattern associated with face processing. These findings suggest that relative to matched controls, primary visual processing and insular function are relatively intact in individuals with 22q11.22DS, while motor feedback, face processing, and emotional memory processes are more affected. Such insights may help inform potential interventional targets and enhance the specificity of neuroimaging indices of cognitive dysfunction in 22q11.2DS.

Recognition of children's emotional facial expressions among mothers reporting a history of childhood maltreatment.

Several studies have shown that child maltreatment is associated with both positive and negative effects on the recognition of facial emotions. Research has provided little evidence of a relation between maltreatment during childhood and young adults' ability to recognize facial displays of emotion in children, an essential skill for a sensitive parental response. In this study, we examined the consequences of different forms of maltreatment experienced in childhood on emotion recognition during parenthood. Participants included sixty-three mothers of children aged 2 to 5 years. Retrospective self-reports of childhood maltreatment were assessed using the short form of the Childhood Trauma Questionnaire (CTQ). Emotion recognition was measured using a morphed facial emotion identification task of all six basic emotions (anger, disgust, fear, happiness, sadness, and surprise). A Path Analysis via Structural Equation Model revealed that a history of physical abuse is related to a decreased ability to recognize both fear and sadness in children, whereas emotional abuse and sexual abuse are related to a decreased ability to recognize anger in children. In addition, emotional neglect is associated with an increased ability to recognize anger, whereas physical neglect is associated with less accuracy in recognizing happiness in children's facial emotional expressions. These findings have important clinical implications and expand current understanding of the consequences of childhood maltreatment on parents' ability to detect children's needs.

Multimodal emotion perception: Influences of autism spectrum disorder and autism-like traits

Individuals with autism spectrum disorder may exhibit impaired production and perception of facial and vocal affect cues. For example, both neurotypical and autistic adults tend to interpret affect less accurately from autistic faces and voices, with autistic listeners displaying overall lower identification accuracy. However, earlier studies compared neurotypical and autistic emotion perception under exclusively unimodal conditions (facial or verbal cues alone) or exclusively multimodal conditions in which utterances and static faces were presented sequentially. This study assesses neurotypical adults' accuracy and response time in a forced-choice emotion identification task with video-only, audio-only, and audiovisual recordings of neurotypical and autistic talkers. The study also investigates the relation between listeners' task performance and Autism-Spectrum Quotient (AQ) scores (degree of autism-like traits). Preliminary results show listeners are less accurate when identifying autistic emotional expressions, compared to neurotypical expressions, while talker type has no main effect on response time. Results also suggest a relation between AQ score and emotion-perception ability (accuracy and response time) in neurotypical respondents. This research will provide insight into emotion perception and production differences, along with implications for interpersonal functioning, in autism and under the broader autism phenotype within the neurotypical population. [Work supported by the Indiana University Hutton Honors College.]

Disguised Emotion in Alexithymia: Subjective Difficulties in Emotion Processing and Increased Empathic Distress.

Despite decades of speculation, many causal aspects that contribute to the heterogeneity of alexithymia still must be clarified. This study examined the extent of the alexithymia phenotype and its contribution to social function in the general population. In total, 200 participants (females = 111) completed the Toronto Alexithymia Scale-20 (TAS-20), multiple self-reporting questionnaires measuring emotion intelligence, empathy, hostility and impulsivity, and the Reading the Mind in the Eyes Test (RMET). In the multivariate analysis, highly alexithymic individuals appeared to report subjective deficits in emotion recognition and regulation as well as increased impulsivity; however, their empathy skills were intact, and even the proneness to experiencing empathic distress with others’ suffering was increased among alexithymic individuals. We also compared the clinical and behavioral manifestations of highly alexithymic male and female subjects to those of each gender control group. As a result, in contrast to their subjective self-reports of emotion processing impairment, the RMET performance appeared to be preserved in alexithymic females; however, highly alexithymic males showed actual deficits in the emotion identification task. Future research needs to further refine the constructs of alexithymia to incorporate the phenotypic changes in affected individuals in relation to measuring instruments, the extent of empathic distress, and gender.

Eyes on Emotion: Dynamic Gaze Allocation During Emotion Perception From Speech-Like Stimuli.

The majority of emotional expressions used in daily communication are multimodal and dynamic in nature. Consequently, one would expect that human observers utilize specific perceptual strategies to process emotions and to handle the multimodal and dynamic nature of emotions. However, our present knowledge on these strategies is scarce, primarily because most studies on emotion perception have not fully covered this variation, and instead used static and/or unimodal stimuli with few emotion categories. To resolve this knowledge gap, the present study examined how dynamic emotional auditory and visual information is integrated into a unified percept. Since there is a broad spectrum of possible forms of integration, both eye movements and accuracy of emotion identification were evaluated while observers performed an emotion identification task in one of three conditions: audio-only, visual-only video, or audiovisual video. In terms of adaptations of perceptual strategies, eye movement results showed a shift in fixations toward the eyes and away from the nose and mouth when audio is added. Notably, in terms of task performance, audio-only performance was mostly significantly worse than video-only and audiovisual performances, but performance in the latter two conditions was often not different. These results suggest that individuals flexibly and momentarily adapt their perceptual strategies to changes in the available information for emotion recognition, and these changes can be comprehensively quantified with eye tracking.

Emotion knowledge in neurotypical children and in those with down syndrome

This research aimed to assess two components of emotion knowledge (EK): receptive EK with face emotion identification and matching tasks, and emotion situation knowledge with the emotion attribution task (EAT). Study 1 assessed the development of EK in 265 neurotypical (NT) children (4–11 years), divided into four age groups. Overall, results showed a significant improvement of EK with age in the NT population for the three tasks, especially between the ages of 4/5 and 6/7. Children were less successful at the EAT in comparison to the other two tasks, indicating that receptive EK develops earlier than emotion situation knowledge. The presence of visual context (EAT) does not help to improve our children’s overall facial emotion recognition, especially for anger and sadness, while these emotions are well recognized in isolated facial expressions (emotion identification). Study 2 compared EK between 32 children with Down syndrome (CA: M = 13 years, SD = 2.13) and 32 NT children (CA: M = 5.3 years, SD = 1.36): matched on a vocabulary task. Children with DS had more difficulties in EK than NT children. They had lower performances on the identification and the EAT tasks, while exhibited similar performances to their NT controls on the emotion matching task. Moreover, good abilities to identify emotion expressions seem to be a prerequisite for successful face-context recognition in NT children, but not in children with DS. Difficulties encountered by children with DS could result from executive dysfunction when dealing with complex visual information in addition to emotion processing difficulties.

Cognitive Performance During Confinement and Sleep Restriction in NASA's Human Exploration Research Analog (HERA).

Maintaining optimal cognitive performance in astronauts during spaceflight is critical to crewmember safety and mission success. To investigate the combined effects of confinement, isolation, and sleep deprivation on cognitive performance during spaceflight, we administered the computerized neurobehavioral test battery “Cognition” to crew members of simulated spaceflight missions as part of NASA’s ground-based Human Exploration Research Analog project. Cognition was administered to N = 32 astronaut-like subjects in four 1-week missions (campaign 1) and four 2 weeks missions (campaign 2), with four crewmembers per mission. In both campaigns, subjects performed significantly faster on Cognition tasks across time in mission without sacrificing accuracy, which is indicative of a learning effect. On an alertness and affect survey, subjects self-reported significant improvement in several affective domains with time in mission. During the sleep restriction challenge, subjects in campaign 1 were significantly less accurate on a facial emotion identification task during a night of partial sleep restriction. Subjects in campaign 2 were significantly slower and less accurate on psychomotor vigilance, and slower on cognitive throughput and motor praxis tasks during a night of total sleep deprivation. On the survey, subjects reported significantly worsening mood during the sleep loss challenge on several affective domains. These findings suggest that confinement and relative isolation of up to 2 weeks in this environment do not induce a significant negative impact on cognitive performance in any of the domains examined by Cognition, although the concurrent practice effect may have masked some of the mission’s effects. Conversely, a night of total sleep deprivation significantly decreased psychomotor vigilance and cognitive throughput performance in astronaut-like subjects. This underscores the importance of using cognitive tests designed specifically for the astronaut population, and that survey a range of cognitive domains to detect the differential effects of the wide range of stressors common to the spaceflight environment.