Benchmarking cEEGrid and Solid Gel-Based Electrodes to Classify Inattentional Deafness in a Flight Simulator

Transfer from experiments in the laboratory to real-life tasks is challenging due notably to the inability to reproduce the complexity of multitasking dynamic everyday life situations in a standardized lab condition and to the bulkiness and invasiveness of recording systems preventing participants from moving freely and disturbing the environment. In this study, we used a motion flight simulator to induce inattentional deafness to auditory alarms, a cognitive difficulty arising in complex environments. In addition, we assessed the possibility of two low-density EEG systems a solid gel-based electrode Enobio (Neuroelectrics, Barcelona, Spain) and a gel-based cEEGrid (TMSi, Oldenzaal, Netherlands) to record and classify brain activity associated with inattentional deafness (misses vs. hits to odd sounds) with a small pool of expert participants. In addition to inducing inattentional deafness (missing auditory alarms) at much higher rates than with usual lab tasks (34.7% compared to the usual 5%), we observed typical inattentional deafness-related activity in the time domain but also in the frequency and time-frequency domains with both systems. Finally, a classifier based on Riemannian Geometry principles allowed us to obtain more than 70% of single-trial classification accuracy for both mobile EEG, and up to 71.5% for the cEEGrid (TMSi, Oldenzaal, Netherlands). These results open promising avenues toward detecting cognitive failures in real-life situations, such as real flight.

Psychological symptoms, mental fatigue and behavioural adherence after 72 continuous days of strict lockdown during the COVID-19 pandemic in Argentina

BackgroundAn early and prolonged lockdown was adopted in Argentina during the first wave of COVID-19. Early reports evidenced elevated psychological symptoms.AimsTo explore if the prolonged lockdown was associated with elevated anxiety and depressive symptoms; if mental fatigue was associated with lockdown adherence (a phenomenon called ‘behavioural fatigue’); and if financial concerns were associated with lockdown adherence and emotional symptoms.MethodThe survey included standardised questionnaires to assess depressive (PHQ-9) and anxious (GAD-7) symptoms, mental fatigue, risk perception, lockdown adherence, financial concerns, daily stress, loneliness, intolerance to uncertainty, negative repetitive thinking and cognitive problems. LASSO regression analyses were carried out to predict depression, anxiety and lockdown adherenceResultsThe survey reached 3617 adults (85.2% female) from all provinces of Argentina after 72 days of lockdown. Data were collected between 21 May 2020 and 4 June 2020. In that period, Argentina had an Oxford stringency index of 85/100. Of those surveyed, 45.6% and 27% met the cut-offs for depression and anxiety, respectively. Mental fatigue, cognitive failures and financial concerns were correlated with psychological symptoms, but not with adherence to lockdown. In regression models, mental fatigue, cognitive failures and loneliness were the most important variables to predict depression, intolerance to uncertainty and lockdown difficulty were the most important for anxiety, and perceived threat was the most important for predicting lockdown adherence.ConclusionsDuring the extended lockdown, psychological symptoms increased, being enhanced by mental fatigue, cognitive difficulties and financial concerns. We found no evidence of behavioural fatigue. Thus, feeling mentally fatigued is not the same as being behaviourally fatigued.

Cognitive Failures: Relationship with Perceived Emotions, Stress, and Resting Vagally-Mediated Heart Rate Variability

Cognitive failures represent everyday task failures that individuals are normally capable of completing. While cognitive failures measured with the Cognitive Failures Questionnaire can be considered a trait, the psychophysiological states associated with cognitive failures are yet to be fully understood. The aim of this paper was to investigate the extent to which the perception of experiencing cognitive failures in daily life is associated with both psychological (i.e., perceived emotional valence, emotional intensity, and stress), as well as physiological (i.e., vagally-mediated heart rate variability, vmHRV) variables. A total of 69 participants were involved in this study (47 male, 22 female; Mage = 22.4 years). Participants underwent a 5-min heart rate variability measurement and filled out the self-report psychological variables, before completing the Cognitive Failures Questionnaire, providing scores for Distractibility, Forgetfulness, and False Triggering. When combining the predictors together into a hierarchical regression analysis, only the model related to the Distractibility subscale was found to be significant (unique significant negative predictor: resting vmHRV). Further research should investigate whether influencing resting vmHRV, with interventions such as slow-paced breathing, may decrease the perception of cognitive failures related to distractibility.

The Link Between Neuroticism and Everyday Cognitive Failures is Mediated by Self-Reported Mindfulness Among College Students

Neuroticism has been linked to an increased likelihood of cognitive failures, including episodes of inattentiveness, forgetfulness, or accidents causing difficulties in successfully executing everyday tasks and impacting health and quality of life. Cognitive failures associated with trait neuroticism can prompt some negative psychological outcomes and risky behaviors. Accumulating evidence shows that augmenting mindfulness can benefit cognitive health and general well-being. However, little is known regarding potential cognitive-behavioral pathways through which individual differences in trait neuroticism could influence the propensity to cognitive failures. Using a sample of 1003 undergraduate college students (females: n = 779) consisting of self-reported questionnaire data, we conducted correlational and mediational analyses to investigate the interrelationship between neuroticism, mindfulness, and cognitive failures. Higher neuroticism scores (females: r = −0.388, males: r = −0.390) and higher cognitive failures scores (females: r = −0.339, males: r = −0.407, p < .001) were significantly correlated with lower self-reported mindfulness scores. Mindfulness significantly mediated the relationship between neuroticism and cognitive failures (β = 0.50, 95%, CI: 0.37, 0.65). These findings indicate that higher mindfulness may help ameliorate negative effects of neuroticism on everyday cognitive failures. Future research will determine how college students may benefit from positive impact of mindfulness to improve their psychological and physical health.

Benchmarking cEEGrid and solid gel-based electrodes to classify inattentional deafness in a flight simulator

Transfer from experiments in laboratory to real-life tasks is challenging due notably to the inability to reproduce the complexity of multitasking dynamic everyday life situations in a standardized lab condition, and to the bulkiness and invasiveness of recording systems preventing participants from moving freely and disturbing the environment. Here we used a motion flight simulator to induce inattentional deafness to auditory alarms, a cognitive difficulty arising in complex environments. In addition, we assessed the possibility of two low-density EEG systems (a solid gel-based electrode Enobio (Neuroelectrics, Barcelona, Spain) and a gel-based cEEGrid (TMSi, Oldenzaal, Netherlands)) to record and classify brain activity associated with inattentional deafness (misses vs. hits to odd sounds) with a small pool of expert participants. In addition to inducing inattentional deafness (missing auditory alarms) at much higher rates than with usual lab tasks (34.7% compared to the usual 5%), we observed typical inattentional deafness-related activity in the time domain, but also in the frequency and time-frequency domains with both systems. Finally, a classifier based on Riemannian Geometry principles allowed us to obtain more than 70% of single-trial classification accuracy for both mobile EEG, and up to 72.9% for the cEEGrid (TMSi, Oldenzaal, Netherlands). These results open promising avenue towards detecting cognitive failures in real-life situations, such as real flight.

The effects of psychological risk factors at work on cognitive failures through the accident proneness

Background Various agents such as psychosocial items and accident proneness can affect cognitive failures through different paths. The probable paths are the direct effects of workplace psychosocial items on cognitive failures and their indirect effects on cognitive failures through the mediator variable of accident proneness, which has not yet been studied by others. Thus, the present study aimed to investigate these paths. Methods This cross-sectional study was conducted on 164 male employees of Karoon Sugar Company in 2018. The participants were asked to complete a background and demographic questionnaire, Broadbent cognitive failures scale, accident proneness questionnaire, and Copenhagen psychosocial questionnaire. Obtained data were analyzed and modeled using the statistical descriptive method, ANOVA, independent t-test, Pearson correlation test, and path analysis in the SPSS and AMOS software. Results The results of the path analysis showed that, not only, some psychosocial risk items had a significant direct effect on cognitive failures, but also, they could affect cognitive failures through the accident proneness, indirectly. Work-family conflict and social support from supervisors by coefficients of 0.188 and – 0.187 had the highest direct effects, respectively. The highest indirect effects belonged to justice and respect, and work-family conflict by coefficients of - 0.220 and 0.199, respectively. The highest total effects were also related to the work-family conflict and justice and respect by coefficients of 0.387 and – 0.381, respectively. Conclusions In total, our results showed that some psychological items could, directly and indirectly, increase cognitive failure through accident proneness.

A community detection study: Two replicated distinct subgroups in autistic adults

Psychiatric conditions, such as Autism Spectrum Condition (ASC) are marked by large heterogeneity, which complicates providing tailored support and prognosis. In this study, we aim to identify homogeneous subgroups in autistic adults using community detection. We included 14 variables related to aging with ASC (i.e., demographic, psychological and lifestyle), measured by questionnaires. Community detection analysis was used for subgroup identification in 133 autistic adults and 62 non-autistic comparisons (age 31-89 years). We replicated our findings in a separate sample (Nautistic = 277; Ncomparisons=384; age 30-92 years). For more insight into heterogeneity within ASC, we performed separate community detection analyses in the ASC subsamples. To test the external validity of the ASC subgroups, we compared them on cognitive failures, quality of life, and psychological difficulties. To test specificity, we repeated the community detection analysis after adding 62 adults with ADHD. The ASC and COMP groups formed distinct subgroups. Within the ASC group, we identified three subgroups, of which two were replicated. We identified a “High social, High Grip” subgroup and a “Low social, low grip” subgroup. The “Low social, low grip” reported the most cognitive failures, lowest quality of life, and most psychological difficulties. Addition of an ADHD group did not alter the subgrouping results. Autistic adults are distinct from comparisons on the considered variables. Within autistic adults, one subgroup seems to have less grip on life and could in the long-term benefit from more support, although this must be confirmed in longitudinal and intervention studies.