Computer-based Task Research Articles

Eye movement performance and clinical outcomes among female athletes post-concussion

ABSTRACT Background Most post-concussion eye movement (EM) research involves predominantly male samples. We evaluated pro- (PRO; reflexive shift of visual attention to target) and anti- (ANTI; executive control of visual attention away from target) computer-based saccade task performance among female, collegiate athletes with recent concussion (CON) versus healthy-control athletes (HC). We evaluated the relationship between EM performance and post-concussion outcomes. We hypothesized ANTI performance would differ among CON and HC due to greater executive control demands, and that EM performance (both tasks) would be associated with clinical outcomes in CON. Methods 16 CON (assessed 4–10 days post-injury [M = 6.87, SD = 2.15 days]) and 16 age-matched HC athletes were recruited. General linear mixed modeling and Pearson’s correlations were used. Results On ANTI, CON demonstrated higher error rate [F(1,2863) = 12.650, p<.001] and shorter latency on error trials [F(1,469) = 5.976, p=.015] relative to HC. Multiple EM measures were associated with clinical outcomes: PRO duration predicted days to symptom remission (r=.44, p <.05); ANTI error rate was associated with symptom burden on the day of testing (r=.27, p <.05). Conclusion This study demonstrates promising utility of EM measures to detect cognitive control and sensorimotor effects of concussion among female athletes and their use as a prognostic indicators of recovery.

Chemosensory perception and food preferences in colorectal cancer patients undergoing adjuvant chemotherapy

Cancer is one of the major public health problems, with colorectal cancer being one of the most occurring types of cancer. During treatment, patients may experience changes in their dietary intake due to side-effects of treatment, like changes in chemosensory perception, i.e. smell and taste function. This study investigated alterations in chemosensory perception and food preferences in colorectal cancer patients during and after adjuvant chemotherapy. Objective olfactory and gustatory function were measured by the Sniffin' Sticks and the Taste Strips test. Subjective smell and taste perception were determined with a questionnaire, while food preferences were assessed with a computer-based ranking task. To investigate changes during chemotherapy, patients undergoing adjuvant chemotherapy were measured before the start, halfway through (approximately 3 months after the start of adjuvant chemotherapy), and within one month after finishing chemotherapy (longitudinal measurements, n=15 patients). As a comparison group, colorectal cancer patients not undergoing chemotherapy (n=20), underwent the same measurements at similar time points. To measure changes after treatment, chemosensory perception and food preferences of patients who had undergone chemotherapy treatment were measured once, either at 6, 12 or 24 months after diagnosis (cross-sectional measurements; n=20 for all time points). Changes during treatment were assessed using linear mixed model analyses, and changes after treatment were assessed with a one-way ANOVA or a Kruskal Wallis test. Objective olfactory and gustatory function did not differ statistically significantly between any of the groups and at any time point during or after treatment (all p>0.05). In contrast, subjective smell (F(1,84)=8.17, p=0.005) and taste (F(1,99)=4.08, p=0.046) perception were rated statistically significantly lower by patients undergoing chemotherapy than the comparison group during treatment. At 6 months after diagnosis, patients who underwent chemotherapy rated their subjective taste perception significantly lower than patients at 12 and 24 months after treatment (F(2,57)=12.05, p=0.002). Food preferences did not change during treatment, or thereafter (all p>0.05). Preference for protein-rich foods was positively correlated with objective gustatory function (r=0.36, p<0.001), while the preference for low-energy foods showed a negative correlation with objective gustatory function (r=-0.28, p=0.004). Similar to other cancer patient populations, mainly subjective smell and taste perception are affected in colorectal cancer patients undergoing adjuvant chemotherapy. Changes in objective olfactory and gustatory function in relation to chemotherapy were not detected by the tests used in our study nor did food preferences change. However, it should be noted that subjective changes in smell and taste perception can affect subsequent flavor perception and food enjoyment, which might negatively impact eating behavior and nutritional intake.

The Construction of Computer-based Application of Working Memory Test for Early Age Children in Indonesia

Working memory (WM), a central component of executive function (EF) which facilitates the capability to store and modulate information, develops rapidly during early childhood, and has proven to contribute to children's academic achievement. WM generally has two types of measures, each of which mainly involves the WM's verbal and visuospatial aspect. However, research on the standardized and developed assessment of WM aspects for early age children in Indonesia remains inadequate, especially embedded with information technology. This study aimed to develop a WM measurement tool using a computer-based application test to support the integration between the computer-based and behavioral measurements of WM aspects in early age children. Construct validity of the WM computerized test was determined by comparing the conventional and computerized EF tests on 36 children (15 boys and 21 girls) age 48-72 months old. Two computerized WM tasks that specified WM's verbal aspect, namely the Backward Animal Task and Shining Star respectively, were administered individually to each child by a trained tester. The Spearman correlation analysis resulted in Shining Star as the most suitable computer-based WM task for early age children. Both conventional and computer-based measures of the visuospatial aspect of WM had similar task mechanisms and rules. They equivalently required visual and kinesthetic modalities, which emphasized the common nonverbal aspects of WM. This result provides an initiative for the evidence-based development of the computer-based WM test in Indonesia for early age children, which is critically important to help individuals with psychological and behavioral problems during Covid-19.

Distinguishing Intermediate and Novice Surgeons by Eye Movements.

Surgical skill-level assessment is key to collecting the required feedback and adapting the educational programs accordingly. Currently, these assessments for the minimal invasive surgery programs are primarily based on subjective methods, and there is no consensus on skill level classifications. One of the most detailed of these classifications categorize skill levels as beginner, novice, intermediate, sub-expert, and expert. To properly integrate skill assessment into minimal invasive surgical education programs and provide skill-based training alternatives, it is necessary to classify the skill levels in as detailed a way as possible and identify the differences between all skill levels in an objective manner. Yet, despite the existence of very encouraging results in the literature, most of the studies have been conducted to better understand the differences between novice and expert surgical skill levels leaving out the other crucial skill levels between them. Additionally, there are very limited studies by considering the eye-movement behaviors of surgical residents. To this end, the present study attempted to distinguish novice- and intermediate-level surgical residents based on their eye movements. The eye-movement data was recorded from 23 volunteer surgical residents while they were performing four computer-based simulated surgical tasks under different hand conditions. The data was analyzed using logistic regression to estimate the skill levels of both groups. The best results of the estimation revealing a 91.3% recognition rate of predicting novice and intermediate surgical residents on one scenario were selected from four under the dominant hand condition. These results show that the eye-movements can be potentially used to identify surgeons with intermediate and novice skills. However, the results also indicate that the order in which the scenarios are provided, and the design of the scenario, the tasks, and their appropriateness with the skill levels of the participants are all critical factors to be considered in improving the estimation ratio, and hence require thorough assessment for future research.

A Tool for Comparing Mathematics Tasks from Paper-Based and Digital Environments

Comparative studies on paper and pencil– and computer-based tests principally focus on statistical analysis of students’ performances. In educational assessment, comparing students’ performance (in terms of right or wrong results) does not imply a comparison of problem-solving processes followed by students. In this paper, we present a theoretical tool for task analysis that allows us to highlight how students’ problem-solving processes could change in switching from paper to computer format and how these changes could be affected by the use of one environment rather than another. In particular, the aim of our study lies in identifying a set of indexes to highlight possible consequences that specific changes in task formulation have, in terms of task comparability. Therefore, we propose an example of the use of the tool for comparing paper-based and computer-based tasks.

Slow associative learning in alcohol dependence and the alcohol cue exposure treatment paradox.

To examine two explanations for the observation that cue-exposure treatment has not been clearly effective in the treatment of alcohol dependence: do alcohol-dependent individuals have either (1) slower extinction and/or (2) greater contextual specificity of extinction than non-dependent individuals? In two exploratory laboratory experiments we used mixed factorial designs with two-group between-subjects factors and within-subjects factors corresponding to performance in different parts of a computer-based learning task. University of Southampton psychology research laboratories and two addiction treatment services in the city of Southampton, UK. Experiment 1: 74 (54 female) undergraduates from the University of Southampton (age mean=20.4years). Experiment 2: 102 (40 female) participants from the University of Southampton, the local community, and from two Southampton alcohol treatment services (age mean=41.3years). The Alcohol Use Disorders Identification Test, a 1-week time-line follow-back alcohol consumption questionnaire, the Barratt Impulsiveness Scale (11th edn), and a computerized learning task. Experiment 2 additionally used the 44-item Big Five Inventory, a drug use history checklist, and the Hospital Anxiety and Depression Scale. Experiment 1: light and heavy drinkers did not differ significantly in extinction [extinction block×drinking status interaction, P=0.761, , 95% confidence interval (CI)= (0,0.028)] or on contextual control of extinction [recovery block×drinking status interaction, P=0.514, , 95% CI=(0,0.084)]. Experiment 2: slower extinction in abstinent alcohol-dependent participants compared with light drinkers [extinction block×drinking status interaction, P=0.023, , 95% CI=0,0.069)] but no significant difference on contextual control of extinction [recovery block×drinking status interaction, P=0.069, , 95% CI=(0,0.125)]. Abstinent alcohol-dependent people may have slower extinction learning for alcohol-related cues than non-dependent light drinkers.

The Influence of Representational Formats and Learner Modality Preferences on Instructional Efficiency Using Interactive Video Tutorials

This study investigated how to create effective interactive video tutorials for learning computer-based tasks. The role of learner modality preferences was also considered. A 4 × 4 between-subjects factorial design was employed to examine the influence of instruction representational formats (noninteractive static, interactive static, interactive visual-only video with onscreen text, interactive video with audio narration) and learner modality preferences (visual, aural, read/write, multimodal) on instructional efficiency. Instructional efficiency was a combined effect of test performance and perceived cognitive load during learning. The results suggested that implementing interactivity into the video tutorials tended to increase transfer performance, and the role of modality preferences was related to learners’ perceived cognitive load. The significant interaction effect on transfer efficiency indicated: (a) the auditory preference tended to exhibit better transfer efficiency with the narrated video, and (b) the read/write preference tended to exhibit better transfer efficiency with both the noninteractive static format and the captioned video. This study highlighted the importance of considering individual differences in modality preferences, particularly that of auditory and read/write learners.

Within-item response processes as indicators of test-taking effort and motivation

ABSTRACT The present study used process data from a computer-based problem-solving task as indications of behavioural level of test-taking effort, and explored how behavioural item-level effort related to overall test performance and self-reported effort. Variables were extracted from raw process data and clustered. Four distinct clusters were obtained and characterised as high effort, medium effort, low effort, and planner. Regression modelling indicated that among students that failed to solve the task, level of effort invested before giving up positively predicted overall test performance. Among students that solved the task, level of effort was instead weakly negatively related to test performance. A low level of behavioural effort before giving up the task was also related to lower self-reported effort. Results suggest that effort invested before giving up provides information about test-takers’ motivation to spend effort on the test. We conclude that process data could augment existing methods of assessing test-taking effort.

Allocentric Spatial Memory Performance in a Virtual Reality-Based Task is Conditioned by Visuospatial Working Memory Capacity

Traditionally, the medial temporal lobe has been considered a key brain region for spatial memory. Nevertheless, executive functions, such as working memory, also play an important role in complex behaviors, such as spatial navigation. Thus, the main goal of this study is to clarify the relationship between working memory capacity and spatial memory performance. Spatial memory was assessed using a virtual reality-based procedure, the Boxes Room task, and the visual working memory with the computer-based Change Localization Task. One hundred and twenty-three (n = 123) participants took part in this study. Analysis of Covariance (ANCOVA) revealed a statistically significant relationship between working memory capacity and spatial abilities. Thereafter, two subgroups n = 60, were formed according to their performance in the working memory task (1st and 4th quartiles, n = 30 each). Results demonstrate that participants with high working memory capacity committed fewer mistakes in the spatial task compared to the low working memory capacity group. Both groups improved their performance through repeated trials of the spatial task, thus showing that they could learn spatial layouts independent of their working memory capacity. In conclusion, these findings support that spatial memory performance is directly related to working memory skills. This could be relevant for spatial memory assessment in brain lesioned patients.

Predicting changes in performance due to cognitive fatigue: A multimodal approach based on speech motor coordination and electrodermal activity

Objective Military job and training activities place significant demands on service members’ (SMs’) cognitive resources, increasing risk of injury and degrading performance. Early detection of cognitive fatigue is essential to reduce risk and support optimal function. This paper describes a multimodal approach, based on changes in measures of speech motor coordination and electrodermal activity (EDA), for predicting changes in performance following sustained cognitive effort. Methods Twenty-nine active duty SMs completed computer-based cognitive tasks for 2 h (load period). Measures of speech derived from audio were acquired, along with concurrent measures of EDA, before and after the load period. Cognitive performance was assessed before and during the load period using the Automated Neuropsychological Assessment Metrics Military Battery (ANAM MIL). Subjective assessments of cognitive effort and alertness were obtained intermittently. Results Across the load period, participants’ ratings of cognitive workload increased, while alertness ratings declined. Cognitive performance declined significantly during the first half of the load period. Three speech and arousal features predicted cognitive performance changes during this period with statistically significant accuracy: EDA (r = 0.43, p = 0.01), articulator velocity coordination (r = 0.50, p = 0.00), and vocal creak (r = 0.35, p = 0.03). Fusing predictions from these features predicted performance changes with r = 0.68 (p = 0.00). Conclusions Results suggest that speech and arousal measures may be used to predict changes in performance associated with cognitive fatigue. This work supports ongoing efforts to develop reliable, unobtrusive measures for cognitive state assessment aimed at reducing injury risk, informing return to work decisions, and supporting diverse mobile healthcare applications in civilian and military settings.

Modeling perception and behavior in individuals at clinical high risk for psychosis: Support for the predictive processing framework

Early intervention in psychotic spectrum disorders is critical for maximizing key clinical outcomes. While there is some evidence for the utility of intervention during the prodromal phase of the illness, efficacy of interventions is difficult to assess without appropriate risk stratification. This will require biomarkers that robustly help to identify risk level and are also relatively easy to obtain. Recent work highlights the utility of computer-based behavioral tasks for understanding the pathophysiology of psychotic symptoms. Computational modeling of performance on such tasks may be particularly useful because they explicitly and formally link performance and symptom expression. Several recent studies have successfully applied principles of Bayesian inference to understanding the computational underpinnings of hallucinations. Within this framework, hallucinations are seen as arising from an over-weighting of prior beliefs relative to sensory evidence. This view is supported by recently-published data from two tasks: the Conditioned Hallucinations (CH) task, which determines the degree to which participants use expectations in detecting a target tone; and a Sine-Vocoded Speech (SVS) task, in which participants can use prior exposure to speech samples to inform their understanding of degraded speech stimuli. We administered both of these tasks to two samples of participants at clinical high risk for psychosis (CHR; N = 19) and healthy controls (HC; N = 17). CHR participants reported both more conditioned hallucinations and more pre-training SVS detection. In addition, relationships were found between participants' performance on both tasks. On computational modeling of behavior on the CH task, CHR participants demonstrate significantly poorer recognition of task volatility as well as a trend toward higher weighting of priors. A relationship was found between this latter effect and performance on both tasks. Taken together, these results support the assertion that these two tasks may be driven by similar latent factors in perceptual inference, and highlight the potential utility of computationally-based tasks in identifying risk.

Effects of a sit-stand-walk intervention on musculoskeletal discomfort, productivity, and perceived physical and mental fatigue, for computer-based work

The effects of a sit-stand-walk intervention to reduce musculoskeletal discomfort, attenuate perceived physical and mental fatigue, and increase physical activity without adversely affecting productivity was investigated for computer-based work. A between-participants design was used with 80 participants randomly assigned to one of five work conditions (sit-stand, stand-sit, sitting, standing and sit-stand-walk) to perform a 60-min computer-based typing transcription task. Musculoskeletal discomfort, and perceived physical and mental fatigue were reported through surveys; productivity was measured by typing speed and typing errors. For the sit-stand-walk intervention musculoskeletal discomfort was significantly less compared to sitting or standing for the hour; perceived physical fatigue was significantly less compared to standing for the hour. There were no benefits or differences among the work conditions in terms of perceived mental fatigue and productivity. By combining postural variability of sit-stand workstations with intermittent light-intensity physical activity enabled by active breaks, the sit-stand-walk intervention demonstrates a beneficial and viable alternative to sedentary office work.

Attentional bias toward negative and positive pictorial stimuli and its relationship with distorted cognitions, empathy, and moral reasoning among men with intellectual disabilities who have committed crimes.

The aims of this study were to examine: (a) whether men with intellectual disabilities who have a history of criminal offending attend to affective pictorial stimuli in a biased manner, and (b) whether there is a relationship between an affective attentional bias and offense-supportive cognitions, empathy, and moral reasoning. Forty-six men with intellectual disabilities who had a documented history of criminal offending, and 51 men who also had intellectual disabilities, but no such history, were recruited and asked to complete a computer-based dot-probe task using affective pictorial stimuli with randomization, along with measures of distorted cognitions, empathy, and moral reasoning. Those with a history of criminal offending endorsed significantly more offense-supportive cognitions, had significantly lower general empathy, and more "mature" moral reasoning, as well as a significant attentional bias toward affective pictorial stimuli. Attentional bias significantly predicted offense-supportive cognitions, and vice versa, having controlled for offense history, and Full-Scale IQ, but this was not the case for empathy or moral reasoning. While the findings require replication, interventions that aim to modify attention bias with this population should be tested.

Assessment of practical science in high stakes examinations: a qualitative analysis of high performing English-speaking countries

ABSTRACT High stakes examinations can have profound implications for how science is taught and learned. Limitations of school science such as the ‘cookbook problem’ can potentially be addressed if high stakes assessments target learning outcomes that are innovative. For example, less mindless procedural engagement and more thoughtful consideration of practical science can potentially improve science learning. In this paper, we investigate how practical work is represented in the assessment frameworks of several countries that demonstrate above average performance in the latest PISA science assessments. The main motivation is the need to understand if there are aspects of high stakes summative assessments in these countries that can provide insight into how best to structure national examinations. Assessment documents from a set of selected countries have been analysed qualitatively guided by questions such as ‘what is the construct of practical science’ and ‘what is the format of assessment?’ The examined jurisdictions used different approaches from traditional external pen-and-paper tests to internal teacher assessments that included different formats (e.g. laboratory report). Innovative approaches to the assessment of practical skills (e.g. PISA computer-based tasks) do not seem to be represented in these high-stakes assessments. Implications for innovative assessments for high-stakes purposes are discussed.

Assessing cross-modal interference in the detection response task

The detection response task (DRT) is a measure of workload that can assess the cognitive demands of real-world multitasking. It can be configured to present simple stimuli of several modalities, including auditory and visual signals. However, the concurrent presentation of the DRT stimuli alongside another task could cause dual-task interference, and the extent of this interference could be different based on the DRT’s configuration. It is necessary to consider the characteristics of the DRT stimulus, such as modality, to identify a minimally intrusive stimulus. Fifty participants completed a computer-based one-dimensional tracking task alongside a DRT. The DRT’s stimuli varied in their modality (visual/auditory), while the tracking task varied in its workload demand (low/high). DRT performance was modelled using a shifted-Wald model, while the tracking task was assessed using systems factorial technology (SFT), a non-parametric methodology capable of capturing a cognitive system’s workload capacity. To allow the latter’s use, we developed a method of transforming continuous tracking data into a discrete form akin to response times. Analysis of DRT data found little evidence that the DRT’s modality affected processing efficiency, while SFT analysis found limited-capacity processing on the tracking task across both DRT modalities. These findings suggest DRT modality had little effect on the level of interference between the two tasks.

Effects of acute alcohol consumption on emotion recognition in high and low trait aggressive drinkers.

Background:Research suggests that acute alcohol consumption impairs processing of emotional faces. As emotion processing plays a key role in effective social interaction, these impairments may be one mechanism by which alcohol changes social behaviour. This study investigated the effect of individual differences on this relationship by comparing emotion recognition performance after acute alcohol consumption in individuals with high and low trait aggression.Methods:Regular non-dependent drinkers, either high or low in trait aggression participated in a double-blind placebo-controlled experiment (N = 88, 50% high trait aggressive). Participants attended two sessions. In one they consumed an alcoholic drink (0.4 g/kg) and in the other they consumed a matched placebo. They then completed two computer-based tasks: one measured global and emotion-specific recognition performance across six primary emotions (anger, sadness, happiness, disgust, fear, surprise), the other measured processing bias of two ambiguously expressive faces (happy–angry/happy–sad).Results:There was evidence of poorer global emotion recognition after alcohol. In addition, there was evidence of poorer sensitivity to sadness and fear after alcohol. There was also evidence for a reduced bias towards happiness following alcohol and weak evidence for an increased bias towards sadness.Conclusions:These findings suggest that alcohol impairs global emotion recognition. They also highlight a reduced ability to detect sadness and fearful facial expressions. As sadness and fear are cues of submission and distress (i.e. function to curtail aggression), failure to successfully detect these emotions when intoxicated may increase the likelihood of aggressive responding. This coupled with a reduced bias towards seeing happiness may collectively contribute to aggressive behaviour.

0321 Increased Slow-Wave Activity Predicts Slower Processing Speed in Toddlers

Abstract Introduction Slow-wave activity (SWA) shows an inverted U-shaped time course during development. Specifically, maximal SWA undergoes a posteroanterior shift from 2 to 20 years of age, which may reflect cortical maturation. Previously, we showed that greater slow sigma power during sleep predicted faster reaction time in preschool-aged children. To date, little is known about the relationship between SWA and processing speed (PS), a basic fundament underlying complex cognitive skills in early development. Methods This project examined the relationship between SWA and PS in 2.5-3.0-year-old children (n=26, 50% males) via home-based assessments. After a 5-day stabilization sleep schedule, a baseline sleep EEG recording was performed on participants at 4 electrode placements: Fz, Oz, C3, and C4. SWA EEG spectral power was quantified in the 0.75-4.5 Hz rangeduring the first 60 minutes of NREM sleep. PS was obtained as part of a standard cognitive assessment via a computer-based task one hour after waking from a midday nap. Results On average, reaction time (PS) was 2111 ± 08 ms and SWA was 856.4 ± 300.7 µV2/Hz. Increased SWA in the occipital region was predictive of a longer reaction time and therefore slower PS (r = 0.44, p = 0.03). This relationship showed differences between sexes, suggesting that females (r = 0.26, p = 0.07) may show a stronger association between SWA in the occipital brain region and PS than males (r = 0.09, p = 0.33). Conclusion Interestingly, these findings contradict our hypothesis based on previous data with older children indicating that greater SWA was associated with more advanced behavioral and cognitive skills. This discrepancy may reflect the stark individual differences present within this rapidly maturing age group. Support Research support from NIH R01-MH086566 to MKL.

Neural mechanisms of impaired executive function in untreated colorectal cancer patients.

e24170 Background: Cancer-related cognitive impairment (CRCI) affects 45% of colorectal cancer (CRC) patients prior to treatment. This study aimed to explore the neural mechanisms of CRCI in this severely understudied population by using a combination of neuropsychological and cognitive neurophysiology assessments. Methods: Newly diagnosed Stage I-IV CRC patients were recruited at a Midwestern tertiary medical center. Enrollment criteria included normal or corrected to normal vision and no prior cancer within 3 years. Healthy comparisons were recruited and demographically-matched to Stage III/IV patients scheduled to receive chemotherapy. Participants completed neuropsychological measures of processing speed, psychomotor speed, executive function, and verbal memory at study baseline. We recorded scalp electroencephalography while participants performed a computer-based cognitive task designed to measure control over spatial attention. Two event-related potentials were measured following presentation of a task-irrelevant spatial cue: (1) N2, a neural correlate of stimulus selection emerging approximately 160 milliseconds after stimulus presentation; and (2) N2pc, a neural correlate of spatial attention allocation emerging approximately 200 milliseconds after stimulus presentation. Results: CRC patients were enrolled within 4-8 weeks following surgery for Stage I (11%), II (31%), and III (35%) CRC; Stage IV patients (23%) started chemotherapy without surgery. Patients (n = 26) and controls (n = 14) were matched on age and gender; patients were trending toward lower education than controls (p = .06). Patients performed worse than controls on executive function assessments (Trials B: p = .049; Stroop: p = .025). N2 amplitudes were smaller in patients than controls (p = 0.032. N2pc amplitudes were larger in patients than controls (p = .092). N2 amplitudes were associated with Stroop interference scores (r = 0.50, p = .068). Conclusions: CRC patients demonstrated impaired executive function performance at baseline. Neurophysiological data suggest impairments may emerge from limited neural resources available for stimulus selection and poor control over spatial attention. Correlations between neurophysiological data and executive function performance suggest participants better able to overcome task-irrelevant interference had relatively more neural resources available for stimulus selection. Overall, these results suggest patients may be limited in their ability to focus their attention on caregiver and health care team instructions. Clinical trial information: NCT03683004 .

Emotional body language: Social cognition deficits in bipolar disorder

Background: Research suggests that people with bipolar disorder (BD), like individuals with autism spectrum disorders or schizophrenia (among other forms of psychopathology), often have social cognition deficits that negatively impact relationships and quality of life. Studies of social cognition largely focus on face emotion recognition. However, relying solely on faces is not ecologically valid – other cues are available outside of a lab environment. If the ability to correctly interpret other emotion cues is intact, people with face emotion recognition deficits could learn to rely on other cues in order to make inferences about peoples’ emotional states. This study explored whether both facial emotion and emotional body language (EBL) recognition are impaired in people with BD. Method: We measured the performance of individuals with BD relative to community controls on a computer-based emotion recognition task that isolated participants’ ability to interpret emotions in faces, bodies without faces, and in bodies with faces. Results: Results indicated that the BD group was significantly less accurate on face emotion recognition (Cohen's d = −0.87, p = .023), and was more likely to misidentify neutral stimuli as sad (Cohen's d = −0.58, p = .030). Emotion identification accuracy was equivalent across groups when the body (not just face) was visible. Conclusion: People with BD experience deficits in face emotion recognition, and their emotional state may influence their interpretation of others’ emotions. However, recognition of EBL seems largely intact in this population. Paying attention to EBL may help people with BD to compensate for face emotion processing deficits and improve social functioning.

Reward Responsiveness in Suicide Attempters: An Electroencephalography/Event-Related Potential Study

BackgroundThe present study aimed to objectively examine the Research Domain Criteria (RDoC) subconstructs of reward anticipation and initial response to reward in adult suicide attempters, compared with nonattempters, using electroencephalography (EEG) and event-related potentials (ERPs) within the context of the RDoC–recommended experimental paradigms for these subconstructs. MethodsParticipants had either a history of at least 1 suicide attempt (n = 30) or no history of attempting suicide (n = 30). They completed diagnostic interviews, self-report questionnaires, and 2 computer-based tasks—the monetary incentive delay task and the doors task—during which continuous EEG was recorded. Temporospatial principal component analysis was used to isolate each of the ERP components of interest from other temporally or spatially overlapping components. Exploratory time-frequency analyses were also conducted to supplement the ERP analyses. ResultsSuicide attempters, compared with nonattempters, exhibited specific deficits in reward anticipation (i.e., blunted cue-P3 ERP during the monetary incentive delay task) and in initial response to reward (i.e., reduced feedback-related delta power in the gain condition of the doors task). These results were at least partially independent of current symptoms or diagnoses of depression and anxiety. ConclusionsThese findings constitute an important step in obtaining a more fine-grained understanding of the specific reward-related abnormalities that might contribute to suicide risk.