Lapses Of Attention Research Articles

Media multitasking, mind-wandering, and distractibility: A large-scale study

Previous studies suggest that frequent media multitasking – the simultaneous use of different media at the same time – may be associated with increased susceptibility to internal and external sources of distraction. At the same time, other studies found no evidence for such associations. In the current study, we report the results of a large-scale study (N=261) in which we measured media multitasking with a short media-use questionnaire and measured distraction with a change-detection task that included different numbers of distractors. To determine whether internally generated distraction affected performance, we deployed experience-sampling probes during the change-detection task. The results showed that participants with higher media multitasking scores did not perform worse as distractor set size increased, they did not perform worse in general, and their responses on the experience-sampling probes made clear that they also did not experience more lapses of attention during the task. Critically, these results were robust across different methods of analysis (i.e., Linear Mixed Modeling, Bayes factors, and extreme-groups comparison). At the same time, our use of the short version of the media-use questionnaire might limit the generalizability of our findings. In light of our results, we suggest that future studies should ensure an adequate level of statistical power and implement a more precise measure for media multitasking.

The effects of sleep on workplace cognitive failure and safety.

Healthy employee sleep is important for occupational safety, but the mechanisms that explain the relationships among sleep and safety-related behaviors remain unknown. We draw from Crain, Brossoit, and Fisher's (in press) work, nonwork, and sleep (WNS) framework and Barnes' (2012) model of sleep and self-regulation in organizations to investigate the influence of construction workers' self-reported sleep quantity (i.e., duration) and quality (i.e., feeling well-rest upon awakening, ability to fall asleep and remain asleep) on workplace cognitive failures (i.e., lapses in attention, memory, and action at work) and subsequent workplace safety behaviors (i.e., safety compliance and safety participation) and reports of minor injuries. Construction workers from two public works agencies completed surveys at baseline, 6 months, and 12 months. Our results suggest that workers with more insomnia symptoms on average reported engaging in fewer required and voluntary safety behaviors and were at a greater risk for workplace injuries. These effects were mediated by workplace cognitive failures. In addition, workers with greater sleep insufficiency on average reported lower safety compliance, but this effect was not mediated by workplace cognitive failures. These results have implications for future workplace interventions, suggesting that organizations striving to improve safety should prioritize interventions that will reduce workers' insomnia symptoms and improve their ability to quickly fall asleep and stay asleep throughout the night. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

The use of reaction time distributions to study attention in male rats: the effects of atomoxetine and guanfacine.

Norepinephrine (NE) is involved in the control of sustained attention. Studies of sustained attention in humans include measures of reaction time (RT) and RT variability (RTV). The present study tested the role of NE using components of the RT distribution in rats in a manner thought to be similar to human studies of RTV. This study tested the effects of increased synaptic NE (atomoxetine (ATX)) and α-2 receptor binding (guanfacine) on attentional lapses in rats. Male Sprague-Dawley rats (n = 20) were trained and tested in a two-choice RT task (2CRTT). Atomoxetine dose (saline, 0.1, 0.5, 1.0mg/kg, i.p.), guanfacine dose (saline, 0.01, 0.1, 0.3mg/kg, i.p.), and distractors were manipulated in three experiments. RT was divided into initiation time (IT) and movement time (MT). Analyses of distribution mode (peak) and deviation from the mode (skew) were then performed. ATX and guanfacine had no effect on IT mode, reduced IT devmode, and increased MT mode. When distractors were introduced, ATX again improved devmode, but a lack of interaction between ATX and distractor indicated that ATX did not prevent distractor-induced impairments. IT devmode is a measure of distribution skew thought to reflect lapses of attention. The effects of ATXon IT devmode suggest that increased synaptic NE reduces attentional lapses. These findings are consistent with human reports of reduced RTV after ATXadministration. The same pattern of results with guanfacine suggests that the effects of increased NE are due in part to binding at α-2 noradrenergic receptors.

Exploring characteristic features of attention-deficit/hyperactivity disorder: findings from multi-modal MRI and candidate genetic data.

The current study examined whether machine learning features best distinguishing attention-deficit/hyperactivity disorder (ADHD) from typically developing children (TDC) can explain clinical phenotypes using multi-modal neuroimaging and genetic data. Cortical morphology, diffusivity scalars, resting-state functional connectivity and polygenic risk score (PS) from norepinephrine, dopamine and glutamate genes were extracted from 47 ADHD and 47 matched TDC. Using random forests, classification accuracy was measured for each uni- and multi-modal model. The optimal model was used to explain symptom severity or task performance and its robustness was validated in the independent dataset including 18 ADHD and 18 TDC. The model consisting of cortical thickness and volume features achieved the best accuracy of 85.1%. Morphological changes across insula, sensory/motor, and inferior frontal cortex were also found as key predictors. Those explained 18.0% of ADHD rating scale, while dynamic regional homogeneity within default network explained 6.4% of the omission errors in continuous performance test. Ensemble of PS to optimal model showed minor effect on accuracy. Validation analysis achieved accuracy of 69.4%. Current findings suggest that structural deformities relevant to salience detection, sensory processing, and response inhibition may be robust classifiers and symptom predictors of ADHD. Altered local functional connectivity across default network predicted attentional lapse. However, further investigation is needed to clarify roles of genetic predisposition.

Paediatric hyperthermia-related deaths while entrapped and unattended inside vehicles: The Canadian experience and anticipatory guidance for prevention.

An average of 37 children die of hyperthermia inside parked vehicles annually in the USA. The majority of cases are due to a caregiver forgetting them (~55%), while ~13% are due to intentionally leaving children unattended and ~28% occur when children climb into unlocked vehicles. The cause of four per cent is unknown. There are no published data on incidence in Canada. Through information provided from provincial and territorial coroner's offices, Canadian government agencies and media reports, six cases of vehicular hyperthermia deaths were confirmed since 2013. Three were attributed to children left unintentionally in vehicles; one occurred after a child climbed into an unlocked vehicle and two cases are undetermined. Attention or memory lapses are hypothesized to occur due to distraction, stress, fatigue, or routine changes. Educating caregivers about the dangers of leaving children in vehicles and providing preventative strategies through anticipatory guidance may reduce these tragedies (see graphic abstract).

Acoustic noise and vision differentially warp the auditory categorization of speech.

Speech perception requires grouping acoustic information into meaningful linguistic-phonetic units via categorical perception (CP). Beyond shrinking observers' perceptual space, CP might aid degraded speech perception if categories are more resistant to noise than surface acoustic features. Combining audiovisual (AV) cues also enhances speech recognition, particularly in noisy environments. This study investigated the degree to which visual cues from a talker (i.e., mouth movements) aid speech categorization amidst noise interference by measuring participants' identification of clear and noisy speech (0 dB signal-to-noise ratio) presented in auditory-only or combined AV modalities (i.e., A, A+noise, AV, AV+noise conditions). Auditory noise expectedly weakened (i.e., shallower identification slopes) and slowed speech categorization. Interestingly, additional viseme cues largely counteracted noise-related decrements in performance and stabilized classification speeds in both clear and noise conditions suggesting more precise acoustic-phonetic representations with multisensory information. Results are parsimoniously described under a signal detection theory framework and by a reduction (visual cues) and increase (noise) in the precision of perceptual object representation, which were not due to lapses of attention or guessing. Collectively, findings show that (i) mapping sounds to categories aids speech perception in "cocktail party" environments; (ii) visual cues help lattice formation of auditory-phonetic categories to enhance and refine speech identification.

The scent of the other women: Body odor-induced behavioral and physiological effects on face categorization

In body odor research, the interaction of female donors and receivers is scarcely investigated. With the aim to investigate effects of female body odor in a competitive context, we tested 51 women divided into two groups (i.e., a competitive and a non-competitive group, based on verbal instructions). Between groups, we explored whether female body odor exposure (vs. masker odor) modulates emotion categorization (via RT variance and distribution) and physiological reactions (via instantaneous heart rate) in a task with dynamic male and female faces as either angry or happy. Women in the competitive group reported to feel more competitive and performed more accurately. They gathered more emotional information to categorize dynamic faces and when additionally exposed to female body odor, they showed a resistance to cardiac deceleration. Lapses of attention (via RT distribution) occurred irrespective of body odor exposure. Our results support the idea that female body odors, presented in a competitive context, contrast cardiac deceleration and, by tendency, modulate emotion categorization. Data are discussed in the context of chemosignaling and social interactions among women.

Using ecological momentary assessments to evaluate extant measures of mind wandering.

Mind wandering is a commonly experienced phenomenon. Although self-report measures are available to assess these attentional lapses, examination of their correspondence with the reported frequency of these episodes in daily life is warranted. Using ecological momentary assessments (EMAs), the present study aimed to validate 3 mind-wandering measures: the Mind-Wandering Questionnaire (MWQ) and the Mind Wandering-Spontaneous (MW-S) and Mind Wandering-Deliberate (MW-D) measures in university students (N = 100). Participants completed a series of questionnaires in an in-lab session. Using time-based EMA sampling, participants received 6 prompts via text message daily for 7 days. Each prompt asked students to report if their current thoughts were about something other than what they were doing using a scale ranging from completely on-task to completely on unrelated concerns. Self-report data collected via EMA indicated that reporting more mind-wandering episodes was associated with higher MWQ and MW-S scores but was not significantly correlated with the MW-D score. Results highlight the utility of EMA in validating measures designed to capture mind-wandering episodes. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Real-time triggering reveals concurrent lapses of attention and working memory.

Attention and working memory are clearly intertwined, as shown by co-variations in individual ability and the recruitment of similar neural substrates. Both processes fluctuate over time1-5, and these fluctuations may be a key determinant of individual variations in ability6,7. If these fluctuations are due to the waxing and waning of a common cognitive resource, attention and working memory should co-vary on a moment-to-moment basis. To test this, we developed a hybrid task that interleaved a sustained attention task and a whole-report working memory task. Experiment 1 established that performance fluctuations on these tasks correlated across and within participants: attention lapses led to worse working memory performance. Experiment 2 extended this finding using a real-time triggering procedure that monitored attention fluctuations to probe working memory during optimal (high-attention) or suboptimal (low-attention) moments. In low-attention moments, participants stored fewer items in working memory. Experiment 3 ruled out task-general fluctuations as an explanation for these co-variations by showing that the precision of colour memory was unaffected by variations in attention state. In summary, we demonstrate that attention and working memory lapse together, providing additional evidence for the tight integration of these cognitive processes.

Individual Differences in the Neural Basis of Response Inhibition After Sleep Deprivation Are Mediated by Chronotype.

Sleep deprivation (SD) has been reported to severely affect executive function, and interindividual differences in these effects may contribute to the SD-associated cognition impairment. However, it is unclear how individual differences in chronotypes (morning-type, MT; evening-type, ET) influence neurobehavioral functions after SD. To address this question, we used functional magnetic resonance imaging (fMRI) to evaluate whether 24 h of SD differentially affect response inhibition, a core component of executive function, in MT and ET individuals. Accordingly, MT and ET participants were instructed to follow their preferred 7–9-h sleep schedule for 2 weeks at home both prior to and throughout the course of the study, and then performed a go/no-go task during fMRI scanning at 08:00 a.m. both at rested wakefulness (RW) and following SD. We also examined whether the neurobehavioral inhibition differences in the chronotypes in each session can be predicted by subjective ratings (sleepiness, mood, and task) or objective attention. Behaviorally, SD led to an increased response time of go trials (hit RT), more attentional lapses, higher subjective sleepiness, and worse mood indices, but it did not impair the accuracy of go trials (hit rate) and no-go trials (stop rate). Regardless of the presence of SD, ET individuals exhibited a lower stop rate, higher subjective ratings of sleepiness, exhausted mood, and task difficulty in comparison with MT individuals. On the neural level, SD resulted in decreased inhibition-related activation of the right lateral inferior frontal gyrus (rIFG) in MT individuals and increased rIFG activation in ET individuals. Moreover, the rIFG activation in ET individuals after SD was positively correlated to the subjective ratings of sleepiness and effort put into the task, which was considered as a compensatory response to the adverse effects of SD. These findings suggest that individual differences in inhibition-related cerebral activation after SD are influenced by chronotypes. In addition, ET individuals may be vulnerable to response inhibition. Thus, it is essential to take into consideration the chronotype in SD research and sleep medicine.

Neural Mechanisms of Attention Lapses in Adult ADHD

Neural Mechanisms of Attention Lapses in Adult ADHD

Cognitive Impairments during the Transition to Working at Night and on Subsequent Night Shifts.

Demands of modern society force many work operations into the night when the internal circadian timekeeping system is promoting sleep. The combination of disturbed daytime sleep and circadian misalignment, which is common in overnight shift work, decreases cognitive performance, yet how performance may differ across multiple consecutive nights of shift work is not fully understood. Therefore, the primary aim of this study was to use a simulated night-shift protocol to examine the cognitive performance and ratings of sleepiness and clear-headedness across the hours of a typical daytime shift, a first night shift with an afternoon nap and extended wakefulness, and 2 subsequent overnight shifts. We tested the hypothesis that cognitive performance would be worse on the first night shift as compared with the baseline and subsequent nighttime shifts and that performance during nighttime shifts would be reduced as compared with the baseline daytime shift. Fifteen healthy adults (6 men) were studied in the 6-day in-laboratory protocol. Results showed that working during the night increased subjective sleepiness and decreased clear-headedness and performance on the Psychomotor Vigilance Task (i.e., slower median, fastest and slowest reaction times, and increased attentional lapses), Stroop color word task (decreased number of correct responses and slower median reaction time), and calculation addition performance task (decreased number attempted and correct). Furthermore, we observed limited evidence of sleepiness, clear-headedness, or performance adaptation across subsequent nights of simulated night work. Our findings demonstrate that night-shift work, regardless of whether it is the first night shift with a nap and extended wakefulness or subsequent night shifts, decreases performance and clear-headedness as compared with the day shift.

Associations of Class-Time Sitting, Stepping and Sit-to-Stand Transitions with Cognitive Functions and Brain Activity in Children.

Previous research showed that children’s physical activity is positively related to executive functions, whilst screen time shows negative associations. However, it is unclear how school-based sitting time and transitions from sitting to standing relate to cognition. We investigated the relationship between class time sitting/stepping/sit-to-stand transitions and cognitive functions in Grade 1–2 children. Overall, 149 children (7.7 ± 0.6 years old, 54% boys) participated. Measures included class time sitting/stepping/sit-to-stand transitions and: (i) response inhibition (i.e., response time and accuracy); (ii) lapses of attention; (iii) working memory; and (iv) brain activity (cortical haemodynamic response). Linear mixed-models, adjusting for age, sex, and clustering at the classroom level, found that more sitting time was associated with higher lapses of attention (β = 0.12, p < 0.05). Children who stepped more had quicker inhibition response time (β = −0.95, p < 0.01); however, they were less accurate in their responses (β = −0.30, p < 0.05) and this was also observed with sit-to-stand transitions (β = −0.26, p < 0.05). No associations were found with brain activity. In conclusion, reducing and breaking up sitting may help keep children focused, but the evidence regarding response inhibition is unclear.

Comparing the Relative Strengths of EEG and Low-Cost Physiological Devices in Modeling Attention Allocation in Semiautonomous Vehicles.

As semiautonomous driving systems are becoming prevalent in late model vehicles, it is important to understand how such systems affect driver attention. This study investigated whether measures from low-cost devices monitoring peripheral physiological state were comparable to standard EEG in predicting lapses in attention to system failures. Twenty-five participants were equipped with a low-fidelity eye-tracker and heart rate monitor and with a high-fidelity NuAmps 32-channel quick-gel EEG system and asked to detect the presence of potential system failure while engaged in a fully autonomous lane changing driving task. To encourage participant attention to the road and to assess engagement in the lane changing task, participants were required to: (a) answer questions about that task; and (b) keep a running count of the type and number of billboards presented throughout the driving task. Linear mixed effects analyses were conducted to model the latency of responses reaction time (RT) to automation signals using the physiological metrics and time period. Alpha-band activity at the midline parietal region in conjunction with heart rate variability (HRV) was important in modeling RT over time. Results suggest that current low-fidelity technologies are not sensitive enough by themselves to reliably model RT to critical signals. However, that HRV interacted with EEG to significantly model RT points to the importance of further developing heart rate metrics for use in environments where it is not practical to use EEG.

Does impulsivity converge distinctively with inhibitory control? Disentangling the cold and hot aspects of inhibitory control

Trait impulsivity incorporates deficits in cognitive processes that can be viewed as resulting from deficiencies in executive functions, particularly inhibitory control. To better understand the relationship between impulsivity and inhibitory control, it is useful to divide inhibitory control into cognitive (cold) and emotional (hot) variants, mediated by differential neural networks. In this study, we aimed to examine impulsivity-related differences in inhibitory control in response to non-emotional versus emotional stimuli. We further examined impulsivity-related differences in the ability to maintain attention during a continuous and repetitive activity, based on the same distinction between cold and hot categories. To evaluate cold and hot variants of inhibition and attentional processes in relation to trait impulsivity, we used two types of go/no-go tasks, non-emotional and emotional. Trait impulsivity was assessed using the Barratt Impulsiveness Scale. Results showed that high-impulsivity individuals were less able to exert both cold and hot variants of inhibitory control. When cognitive performance involved emotional stimuli, high-impulsivity participants were less prone to lapses of attention and better able to maintain attention. In conclusion, trait impulsivity was manifested differently when emotional stimuli were involved, especially in terms of the attentional component. A division into affective and cognitive components of impulsivity is proposed.

Regarding sources of irreducible variation in transformed up-down staircase experiments

A modicum of variation in the result is always expected when a psychoacoustic experiment is run multiple times on a single subject. Historically, this variation was attributed to human shortcomings: lapses in attention, inexperience, and the effects of memory, learning, and fatigue. It is demonstrated that the use of any psychophysical method that requires a binary response (i.e., a correct or incorrect response) will generate irreducible variation in the result—even for a perfect subject. At NASA, a recent battery of low-frequency simultaneous masking experiments was undertaken (see NASA-TM-2018-220120). This effort was preceded by a lengthy test design phase—also documented therein—during which it was determined that the test should consist of a large number of subjects, each to be tested minimally. For this, transformed up-down staircases were simulated in order to produce a prediction of the irreducible variance as a function of the staircases’ parameters (e.g., length in the number of trials). The results from repeated test conditions taken during the experiment indicate that at least half of the variation observed within subjects may be coming from this irreducible source, though the propensity to produce inconsistent results may be a feature of some subjects more than others.

Coping with the black swan in psychophysics

Aberrant responses that are associated with lapses in attention and microsleeps during a behavioral experiment violate basic assumptions underlying signal detection theory. These responses (i.e., the black swan events) occur infrequently but could lead to severe biases in the estimated perceptual sensitivity (d’) and misinterpretations of the data. When adaptive procedures are used to estimate behavioral thresholds, performance lapses occurring early in an adaptive track may cause convergence failures. Moreover, microsleeps may become more frequent as the task difficulty decreases, leading to potential instabilities in common adaptive procedures. Through a series of Monte-Carlo simulations, the potential effects of performance lapses on typical psychophysical tasks (e.g., Yes/No, 2-alternative forced choice) were demonstrated. Several possible experimental and computational techniques to cope with performance lapses were investigated. These included (1) introducing additional parameters representing performance lapses into the psychometric model, (2) allowing a “Not Sure” response category, and (3) screening and removing the likely aberrant responses. These simulation studies provide useful guidelines to design adaptive psychophysical procedures for subject populations from which performance lapses are expected (e.g., young children and behaving animals).

Characteristics of sustaining attention in a gradual-onset continuous performance task.

Continuous performance tasks are frequently associated with a vigilance decrement, particularly when target events are rare and after prolonged time on task. Here we characterized the time course of a performance decrement that happens more rapidly. Using the gradual-onset continuous performance task (the gradCPT), we presented participants with a long sequence of scenes that gradually faded in and out. Participants pressed a button as soon as they detected scenes in one category and ignored scenes in another category. We manipulated the novelty of stimuli, required response rate, and the prevalence rate of the target stimuli. Performance sensitivity declined moderately within and across three 8-min-long blocks. Contrary to mindlessness accounts of vigilance decrement, the decline was not restricted to situations when target events were rare and the stimuli were repetitive. High motor response rates substantially impaired overall sensitivity and moderately increased performance decrement. Performance in the gradCPT did not correlate with individual differences in mindfulness, attentional lapses, media multitasking, or complex working memory span. The rapid and pervasively observed decline in performance is consistent with attentional resource theories of vigilance decrement. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Reaction time variability and attention-deficit/hyperactivity disorder: is increased reaction time variability specific to attention-deficit/hyperactivity disorder? Testing predictions from the default-mode interference hypothesis.

Increased reaction time variability (RTV) is one of the most replicable behavioral correlates of attention-deficit/hyperactivity disorder (ADHD). However, this may not be specific to ADHD but a more general marker of psychopathology. Here we compare RT variability in individuals with ADHD and those with other childhood internalizing and externalizing conditions both in terms of standard (i.e., the standard deviation of reaction time) and alternative indices that capture low-frequency oscillatory patterns in RT variations over time thought to mark periodic lapses of attention in ADHD. A total of 667 participants (6-12years old) were classified into non-overlapping diagnostic groups consisting of children with fear disorders (n = 91), distress disorders (n = 56), ADHD (n = 103), oppositional defiant or conduct disorder (ODD/CD; n = 40) and typically developing controls (TDC; n = 377). We used a simple two-choice reaction time task to measure reaction time. The strength of oscillations in RTs across the session was extracted using spectral analyses. Higher RTV was present in ADHD compared to all other disorder groups, effects that were equally strong across all frequency bands. Interestingly, we found that lower RTV to characterize ODD/CD relative to TDC, a finding that was more pronounced at lower frequencies. In general, our data support RTV as a specific marker of ADHD. RT variation across time in ADHD did not show periodicity in a specific frequency band, not supporting that ADHD RTV is the product of spontaneous periodic lapses of attention. Low-frequency oscillations may be particularly useful to differentiate ODD/CD from TDC.

Genetic and environmental aetiologies of associations between dispositional mindfulness and ADHD traits: a population-based twin study

To get additional insight into the phenotype of attentional problems, we examined to what extent genetic and environmental factors explain covariation between lack of dispositional mindfulness and attention-deficit/hyperactivity disorder (ADHD) traits in youth, and explored the incremental validity of these constructs in predicting life satisfaction. We used data from a UK population-representative sample of adolescent twins (N = 1092 pairs) on lack of dispositional mindfulness [Mindful Attention Awareness Scale (MAAS)], ADHD traits [Conners’ Parent Rating Scale-Revised (CPRS-R): inattentive (INATT) and hyperactivity/impulsivity (HYP/IMP) symptom dimensions] and life satisfaction (Students’ Life Satisfaction Scale). Twin model fitting analyses were conducted. Phenotypic correlations (rp) between MAAS and CPRS-R (INATT: rp = 0.18, HYP/IMP: rp = 0.13) were small, but significant and largely explained by shared genes for INATT (% rp INATT–MAAS due to genes: 93%, genetic correlation rA = 0.37) and HYP/IMP (% rp HYP/IMP–MAAS due to genes: 81%; genetic correlation rA = 0.21) with no significant contribution of environmental factors. MAAS, INATT and HYP/IMP significantly and independently predicted life satisfaction. Lack of dispositional mindfulness, assessed as self-reported perceived lapses of attention (MAAS), taps into an aspect of attentional functioning that is phenotypically and genetically distinct from parent-rated ADHD traits. The clinically relevant incremental validity of both scales implicates that MAAS could be used to explore the underlying mechanisms of an aspect of attentional functioning that uniquely affects life satisfaction and is not captured by DSM-based ADHD scales. Further future research could identify if lack of dispositional mindfulness and high ADHD traits can be targeted by different therapeutic approaches resulting in different effects on life satisfaction.