Individual Differences In Sustained Attention Research Articles

Edge-Based General Linear Models Capture Moment-to-Moment Fluctuations in Attention.

Although we must prioritize the processing of task-relevant information to navigate life, our ability to do so fluctuates across time. Previous work has identified fMRI functional connectivity (FC) networks that predict an individual's ability to sustain attention and vary with attentional state from 1 min to the next. However, traditional dynamic FC approaches typically lack the temporal precision to capture moment-to-moment network fluctuations. Recently, researchers have "unfurled" traditional FC matrices in "edge cofluctuation time series" which measure timepoint-by-timepoint cofluctuations between regions. Here we apply event-based and parametric fMRI analyses to edge time series to capture moment-to-moment fluctuations in networks related to attention. In two independent fMRI datasets examining young adults of both sexes in which participants performed a sustained attention task, we identified a reliable set of edges that rapidly deflects in response to rare task events. Another set of edges varies with continuous fluctuations in attention and overlaps with a previously defined set of edges associated with individual differences in sustained attention. Demonstrating that edge-based analyses are not simply redundant with traditional regions-of-interest-based approaches, up to one-third of reliably deflected edges were not predicted from univariate activity patterns alone. These results reveal the large potential in combining traditional fMRI analyses with edge time series to identify rapid reconfigurations in networks across the brain.

The relationship between sustained attention and parasympathetic functioning

Sustained attention (SA) is an important cognitive ability that plays a crucial role in successful cognitive control. Resting vagally-mediated heart rate variability (vmHRV) has emerged as an informative index of parasympathetic nervous system activity and a sensitive correlate of individual differences in cognitive control. However, it is unclear how resting vmHRV is associated with individual differences in sustained attention. The primary aim of the current study was to assess if resting vmHRV was associated with individual differences in performance on a neuropsychological assessment of sustained attention. We further aimed to characterize the relationship between resting vmHRV and dispositional factors related to sustained attention, specifically attentional errors in daily life, self-regulation, mindfulness and media-multitasking. Based on previous work, we hypothesized higher resting vmHRV would be associated with better sustained attention across task-based and self-report measures. We did not find resting vmHRV to be significantly associated with performance measures on a task-based assessment of sustained attention. Further, resting vmHRV was not significantly associated with attention errors, self-regulation, mindfulness, or media-multitasking. This work stands to expand the current understanding between parasympathetic functioning, cognition, and behavior, investigating the unexplored domain of sustained attention and related dispositional factors.

Individual differences in processing speed and curiosity explain infant habituation and dishabituation performance.

Habituation and dishabituation are the most prevalent measures of infant cognitive functioning, and they have reliably been shown to predict later cognitive outcomes. Yet, the exact mechanisms underlying infant habituation and dishabituation are still unclear. To investigate them, we tested 106 8-month-old infants on a classic habituation task and a novel visual learning task. We used a hierarchical Bayesian model to identify individual differences in sustained attention, learning performance, processing speed and curiosity from the visual learning task. These factors were then related to habituation and dishabituation. We found that habituation time was related to individual differences in processing speed, while dishabituation was related to curiosity, but only for infants who did not habituate. These results offer novel insights in the mechanisms underlying habituation and serve as proof of concept for hierarchical models as an effective tool to measure individual differences in infant cognitive functioning. RESEARCH HIGHLIGHTS: We used a hierarchical Bayesian model to measure individual differences in infants' processing speed, learning performance, sustained attention, and curiosity. Faster processing speed was related to shorter habituation time. High curiosity was related to stronger dishabituation responses, but only for infants who did not habituate.

Propofol selectively modulates functional connectivity signatures of sustained attention during rest and narrative listening.

Sustained attention is a critical cognitive function reflected in an individual's whole-brain pattern of functional magnetic resonance imaging functional connectivity. However, sustained attention is not a purely static trait. Rather, attention waxes and wanes over time. Do functional brain networks that underlie individual differences in sustained attention also underlie changes in attentional state? To investigate, we replicate the finding that a validated connectome-based model of individual differences in sustained attention tracks pharmacologically induced changes in attentional state. Specifically, preregistered analyses revealed that participants exhibited functional connectivity signatures of stronger attention when awake than when under deep sedation with the anesthetic agent propofol. Furthermore, this effect was relatively selective to the predefined sustained attention networks: propofol administration modulated strength of the sustained attention networks more than it modulated strength of canonical resting-state networks and a network defined to predict fluid intelligence, and the functional connections most affected by propofol sedation overlapped with the sustained attention networks. Thus, propofol modulates functional connectivity signatures of sustained attention within individuals. More broadly, these findings underscore the utility of pharmacological intervention in testing both the generalizability and specificity of network-based models of cognitive function.

0143 Vigilance Declines Following Sleep Deprivation are Associated with Two Previously Identified Dynamic Connectivity States

Abstract Introduction Dynamic functional connectivity (DFC) analysis of resting-state fMRI data has been successfully used to track fluctuations in arousal in the human brain. Changes in DFC have also been reported with acute sleep deprivation. Here, we demonstrate that dynamic connectivity states (DCS) previously related to arousal are reproducible, and are associated with individual differences in sustained attention declines after one night of total sleep deprivation. Methods 32 participants underwent two counterbalanced resting-state fMRI scans: during rested wakefulness (RW) and following total sleep deprivation (SD). They also completed the Psychomotor Vigilance Test (PVT), a sustained attention task that is highly sensitive to the effects of sleep loss. SD vulnerability was computed as the decrease in response speed (∆RS) and increase in lapses (∆lapse) in SD compared with RW. Dynamic functional connectivity analysis was conducted on rs-fMRI data. Connectivity matrices were clustered to obtain 5 prototypical DCS. We calculated the proportion of time participants spent in each of these DCS, as well as how often participants transitioned between DCSs. Relationships between SD vulnerability and connectivity metrics were then correlated. Results We recovered two DCS that were highly similar (ρ = .89-.91) to arousal-related DCS observed in previous work (high arousal state (HAS); low arousal state (LAS)). After sleep deprivation, the proportion of time spent in the LAS increased significantly (t29=3.16, p=.0039), while there was no significant change in HAS (t29=-1.43, p=.16). We observed significantly more state transitions in RW compared with SD. Change in LAS and HAS across sleep conditions correlated significantly with SD vulnerability (ΔLASxΔRS: r=-0.64, p<.0001; ΔLASxΔlapse: r=0.43, p=.018; ΔHASxΔRS; r=0.43, p=.019; ΔHASxΔlapse; r=-0.39, p=.033). Finally, Δ%transitions was correlated with ΔRS but not Δlapse. Conclusion This study adds to the evidence that two specific reproducible DCS are robust markers of arousal and attention, and may be useful indicators of SD vulnerability. Support This work was supported by the National Medical Research Council, Singapore (STaR/0015/2013), and the National Research Foundation Science of Learning (NRF2016-SOL002-001).

Functional connectivity predicts changes in attention observed across minutes, days, and months

The ability to sustain attention differs across people and changes within a single person over time. Although recent work has demonstrated that patterns of functional brain connectivity predict individual differences in sustained attention, whether these same patterns capture fluctuations in attention within individuals remains unclear. Here, across five independent studies, we demonstrate that the sustained attention connectome-based predictive model (CPM), a validated model of sustained attention function, generalizes to predict attentional state from data collected across minutes, days, weeks, and months. Furthermore, the sustained attention CPM is sensitive to within-subject state changes induced by propofol as well as sevoflurane, such that individuals show functional connectivity signatures of stronger attentional states when awake than when under deep sedation and light anesthesia. Together, these results demonstrate that fluctuations in attentional state reflect variability in the same functional connectivity patterns that predict individual differences in sustained attention.

Individual differences in sustained attention are associated with cortical thickness.

Several studies have examined how individual differences in sustained attention relate to functional brain measures (e.g., functional connectivity), but far fewer studies relate sustained attention ability, or cognition in general, to individual differences in cortical structure. Functional magnetic resonance imaging meta-analyses and patient work have highlighted that frontoparietal regions, lateralized to the right hemisphere, are critical for sustained attention, though recent work implicates a broader expanse of brain regions. The current study sought to determine if and where variation in cortical thickness is significantly associated with sustained attention performance. Sustained attention was measured using the gradual onset continuous performance task and the Test of Variables of Attention in 125 adult Veteran participants after acquiring two high-resolution structural MRI scans. Whole-brain vertex-wise analyses of the cortex demonstrated that better sustained attention was associated with increased thickness in visual, somatomotor, frontal, and parietal cortices, especially in the right hemisphere. Network-based analyses revealed relationships between sustained attention and cortical thickness in the dorsal attention, ventral attention, somatomotor, and visual networks. These results indicate cortical thickness in multiple regions and networks is associated with sustained attention, and add to the growing knowledge of how structural MRI can help explain individual differences in cognition.

Mind-wandering while driving: The impact of fatigue, task length, and sustained attention abilities

Mind-wandering involves a lapse in attention due to preoccupation with one’s own thoughts, the experience of which may interfere with performance on a primary task. The goal of this study was to investigate how task length and fatigue influenced the tendency to mind-wander while driving. We were also interested in whether the propensity to mind-wander could be predicted by individual differences in sustained attention, as measured by the Sustained Attention to Response Task (SART). Participants completed three 20–25 min drives, during which time pre-recorded thought-probes prompted participants to answer whether they were thinking of driving. Mind-wandering was measured both during the drive (in terms of the percentage of thought-probe trials where drivers reported that they were not thinking of driving), as well post-task (in terms of self-rated difficulty in focusing attention). Driving speed, steering variability and hazard response time were measured by the driving simulator, and drivers also rated their performance post-task. There were significant increases in self-rated difficulty focusing with time on task, and non-significant increases in reported mind-wandering. Driving speeds and steering variability also increased with time on task, but individual differences in sustained attention as measured by the SART did not predict these changes. Overall, the best advance predictor of mind-wandering was the number of hours of sleep the previous night. Mind-wandering and difficulty focusing were correlated with negative emotional rumination (e.g., worries, guilt, anger), though it is unclear whether negative emotionality causes mind-wandering or vice versa. This research has implications for both basic and applied research on individual differences and cognitive distraction, as well as practical safety implications in areas of driver training and autonomous vehicle development.

Neural circuitry underlying sustained attention in healthy adolescents and in ADHD symptomatology

Moment-to-moment reaction time variability on tasks of attention, often quantified by intra-individual response variability (IRV), provides a good indication of the degree to which an individual is vulnerable to lapses in sustained attention. Increased IRV is a hallmark of several disorders of attention, including Attention-Deficit/Hyperactivity Disorder (ADHD). Here, task-based fMRI was used to provide the first examination of how average brain activation and functional connectivity patterns in adolescents are related to individual differences in sustained attention as measured by IRV. We computed IRV in a large sample of adolescents (n = 758) across 'Go' trials of a Stop Signal Task (SST). A data-driven, multi-step analysis approach was used to identify networks associated with low IRV (i.e., good sustained attention) and high IRV (i.e., poorer sustained attention). Low IRV was associated with greater functional segregation (i.e., stronger negative connectivity) amongst an array of brain networks, particularly between cerebellum and motor, cerebellum and prefrontal, and occipital and motor networks. In contrast, high IRV was associated with stronger positive connectivity within the motor network bilaterally and between motor and parietal, prefrontal, and limbic networks. Consistent with these observations, a separate sample of adolescents exhibiting elevated ADHD symptoms had increased fMRI activation and stronger positive connectivity within the same motor network denoting poorer sustained attention, compared to a matched asymptomatic control sample. With respect to the functional connectivity signature of low IRV, there were no statistically significant differences in networks denoting good sustained attention between the ADHD symptom group and asymptomatic control group. We propose that sustained attentional processes are facilitated by an array of neural networks working together, and provide an empirical account of how the functional role of the cerebellum extends to cognition in adolescents. This work highlights the involvement of motor cortex in the integrity of sustained attention, and suggests that atypically strong connectivity within motor networks characterizes poor attentional capacity in both typically developing and ADHD symptomatic adolescents.

Continuous Performance Tasks: Not Just About Sustaining Attention.

PurposeContinuous performance tasks (CPTs) are used to measure individual differences in sustained attention. Many different stimuli have been used as response targets without consideration of their impact on task performance. Here, we compared CPT performance in typically developing adults and children to assess the role of stimulus processing on error rates and reaction times.MethodParticipants completed a CPT that was based on response to infrequent targets, while monitoring and withholding responses to regular nontargets. Performance on 3 stimulus conditions was compared: visual letters (X and O), their auditory analogs, and auditory pure tones.ResultsAdults showed no difference in error propensity across the 3 conditions but had slower reaction times for auditory stimuli. Children had slower overall reaction times. They responded most quickly to the visual target and most slowly to the tone target. They also made more errors in the tone condition than in either the visual or the auditory spoken CPT conditions.ConclusionsThe results suggest error propensity and reaction time variations on CPTs cannot solely be interpreted as evidence of inattention. They also reflect stimulus-specific influences that must be considered when testing hypotheses about modality-specific deficits in sustained attention in populations with different developmental disorders.

Sustained Attention Performance during Sleep Deprivation Associates with Instability in Behavior and Physiologic Measures at Baseline

To identify baseline behavioral and physiologic markers that associate with individual differences in sustained attention during sleep deprivation. In a retrospective study, ocular, electrocardiogram, and electroencephalogram (EEG) measures were compared in subjects who were characterized as resilient (n = 15) or vulnerable (n = 15) to the effects of total sleep deprivation on sustained attention. Chronobiology and Sleep Laboratory, Duke-NUS Graduate Medical School Singapore. Healthy volunteers aged 22-32 years from the general population. Subjects were kept awake for at least 26 hours under constant environmental conditions. Every 2 hours, sustained attention was assessed using a 10-minute psychomotor vigilance task (PVT). During baseline sleep and recovery sleep, EEG slow wave activity was similar in resilient versus vulnerable subjects, suggesting that individual differences in vulnerability to sleep loss were not related to differences in homeostatic sleep regulation. Rather, irrespective of time elapsed since wake, subjects who were vulnerable to sleep deprivation exhibited slower and more variable PVT response times, lower and more variable heart rate, and higher and more variable EEG spectral power in the theta frequency band (6.0-7.5 Hz). Performance decrements in sustained attention during sleep deprivation associate with instability in behavioral and physiologic measures at baseline. Small individual differences in sustained attention that are present at baseline are amplified during prolonged wakefulness, thus contributing to large between-subjects differences in performance and sleepiness.

Consistency of sustained attention across modalities: Comparing visual and auditory versions of the SART.

We develop and assess an auditory version of an increasingly widely used measure of sustained attention, the Sustained Attention to Response Task (SART). In two separate studies, the auditory SART generated slower response times and fewer errors than the visual SART. Proportion of errors, response times, and response time variability were, however, significantly and strongly correlated across the two modalities. The cross-modality correlations were generally equivalent to split-half correlations within modalities, indicating a strong agreement of the assessment of individual differences in sustained attention in the visual and auditory modalities. The foregoing results plus the finding that errors on the auditory SART were reduced suggests that the auditory SART may be a preferred alternative for use with populations with deficits in sustained attention.

Patterns of sustained attention in infancy shape the developmental trajectory of social behavior from toddlerhood through adolescence.

The current study examined the relations between individual differences in sustained attention in infancy, the temperamental trait behavioral inhibition in childhood, and social behavior in adolescence. The authors assessed 9-month-old infants using an interrupted-stimulus attention paradigm. Behavioral inhibition was subsequently assessed in the laboratory at 14 months, 24 months, 4 years, and 7 years. At age 14 years, adolescents acted out social scenarios in the presence of an unfamiliar peer as observers rated levels of social discomfort. Relative to infants with high levels of sustained attention, infants with low levels of sustained attention showed increasing behavioral inhibition throughout early childhood. Sustained attention also moderated the relation between childhood behavioral inhibition and adolescent social discomfort, such that initial levels of inhibition at 14 months predicted later adolescent social difficulties only for participants with low levels of sustained attention in infancy. These findings suggest that early individual differences in attention shape how children respond to their social environments, potentially via attention's gate-keeping role in framing a child's environment for processing.

The relationship between sustained attention and cognitive performance in 17-24-month old toddlers

The purpose of this study was to investigate individual differences in sustained attention and task performance with toddlers. Participants were 61 17–24-month old toddlers. Indices of sustained attention (duration of attention and frequency of off-task glances) were assessed during two 4 min problem solving tasks, and then related to problem solving and the mental scale of the Bayley scales of infant development-II (BSID-II). As expected, toddlers who attended to tasks for longer periods of time were more successful at problem solving, and had higher scores on the BSID-II than toddlers who attended for shorter periods of time. In addition, older toddlers had longer attention spans, more frequent off-task glances, and were more successful at problem solving than younger toddlers. Interestingly, toddlers with more frequent off-task glances had longer attention spans, were more successful at problem solving, and had higher BSID-II scores than peers with fewer off-task glances. These findings suggest that although behavioural indices can be used to identify sustained attention, the relationship between behaviours thought to capture distractibility and attention is more complex than had been previously assumed. Results are discussed in the context of current theories of infant attention and cognitive performance. Copyright © 2000 John Wiley & Sons, Ltd.

The Usefulness of Reaction Time Tasks in Studying Attention and Organization of Behavior in Young Children

Three studies explored reaction time procedures as a means of assessing sustained attention and response organization in preschoolers. In the first study, an auditory reaction time task was administered to 65 3.5-year-olds. Performance deteriorated over trials, paralleling results reported for older children and adults. Performance on the task was also related to the hyperactivity subscale of the Conners Parents' Questionnaire and to Stanford-Binet IQ. In a second cross-sectional study, performance on a visual reaction time task improved significantly from 2.5 to 4.5 years. A third study demonstrated individual stability and reasonable test-retest reliability for all measures. The results suggest that reaction time tasks can be usefully employed with young children to measure developmental changes and individual differences in sustained attention and organization of behavior.

Long-Term Stability of Individual Differences in Sustained Attention in the Early Years

Long-Term Stability of Individual Differences in Sustained Attention in the Early Years

Long-Term Stability of Individual Differences in Sustained Attention in the Early Years

The goal of this longitudinal study was to explore whether early measures of attention and inattention would be predictive of later attentiveness and whether there was any evidence of stable individual differences in attentiveness. Both full-term and preterm children were observed at 1, 2, and 3.5 years in free play and in more structured situations. For the group as a whole, and for full-terms separately, quantitative measures of inattention at 2 years were predictive of comparable measures at 3.5 years. For preterms separately, quantitative measures of inattention at 1 year were predictive of both behavior and the mothers' rating on the Conners Hyperactivity subscale at 3.5 years. Global, qualitative ratings of attentiveness at 1 and 2 years were predictive of mothers' ratings on the Conners at 3.5 years for the group as a whole and for full-terms separately. For full-terms only, the global ratings of attentiveness at 1 and 2 years were also predictive of 3.5-year quantitative measures of behavior. These data provide an encouraging base for further investigation of early individual differences in attentiveness and of possible early precursors of later attention deficits.

Development and stability in visual sustained attention in 14, 20, and 26 week old infants.

Infants were studied at 14, 20, and 26 weeks of age in a longitudinal design. They were presented with varying and complex patterns on a TV screen. Two-thirds of the presentations were accompanied by a stimulus in the periphery delayed in time from the onset of fixation on the central stimulus. As in previous research, the infants were not as easily distracted by the interrupting stimulus when the presentation occurred at the point of maximal heart rate deceleration as when the presentation occurred at the end of the heart rate response. Infants with large amounts of respiratory sinus arrhythmia (i.e., heart rate variability) in a baseline recording were less distractible during the deceleration-defined trials than were infants with low amounts of respiratory sinus arrhythmia. Intra-individual patterns of development in respiratory sinus arrhythmia over the testing ages were closely paralleled by patterns of heart rate responding during sustained attention. Individual differences in baseline levels of heart rate and respiratory sinus arrhythmia were more stable than individual differences in sustained attention. The stability of attention responses over age may be mediated by the stability of the physiological system (e.g., heart rate, respiratory sinus arrhythmia, etc.), and by the within-age relation of attention to heart rate variability.