Sustained Attention Processing Research Articles

Independent and joint associations between urinary polycyclic aromatic hydrocarbon metabolites and cognitive function in older adults in the United States.

Polycyclic aromatic hydrocarbons (PAHs), as organic pollutants widely present in daily environments, have been shown by existing epidemiological studies to be significantly associated with deficits in learning and memory functions in children and adults. However, the association between exposure to PAHs and cognitive function in older adults remains unclear. Additionally, existing related studies have only assessed the association between individual PAH exposures and cognitive assessments, overlooking the risks posed by mixed exposures. This study aims to use three statistical models to investigate the individual and overall effects of mixed PAH exposures on the cognition of older adults in the United States. The study cohort was obtained from the NHANES database, which included individuals aged 60 and older from 2011 to 2014. Weighted generalized linear models (GLM), weighted quantile sum (WQS) models, and Bayesian kernel machine regression (BKMR) models were utilized to evaluate the connections between urinary PAH metabolites and the standardized Z-scores of four cognitive tests: Immediate Recall Test (IRT), Delayed Recall Test (DRT), Animal Fluency Test (AFT), and Digit Symbol Substitution Test (DSST). Our analysis involved 899 individuals aged 60 and above. In the fully adjusted GLM, 2-hydroxynaphthalene (2-OHNa), 3-hydroxyfluorene (3-OHFlu), and 2-hydroxyfluorene (2-OHFlu) demonstrated negative associations with DSST Z-scores. In the WQS model, six urinary PAH metabolites were negatively linked to AFT Z-scores (β (95% confidence intervals [CI]): -0.120 (-0.208, -0.033), p = 0.007) and DSST Z-scores (β (95% CI): -0.182 (-0.262, -0.103), p < 0.001). In both assessments, 2-OHNa exerted the greatest influence among the urinary PAH metabolites. In the BKMR model, there was an overall negative correlation between urinary PAH metabolites and AFT and DSST Z-scores when the concentration was within the 25th to 75th percentile, where 2-OHNa dominated the main effect of the mixture. The WQS and BKMR models were adjusted for all covariates. Increased concentrations of urinary PAH metabolites are associated with cognitive decline in older adults, mainly on language ability, executive function, sustained attention, working memory, and information processing speed, with 2-OHNa playing a major effect.

Alpha event-related decreases during encoding in adults with ADHD – An investigation of sustained attention and working memory processes

BackgroundExecutive functioning deficits are central to established neuropsychological models of ADHD. Oscillatory activity, particularly the alpha rhythm (8–12 Hz) has been associated with cognitive impairments in ADHD. However, most studies to date examined such neural mechanisms underlying executive dysfunction in children and adolescents with ADHD, raising the question of whether and to what extent those ADHD-related working memory impairments are still present in adults. To this end, the current study aimed to investigate the role of alpha event-related decreases (ERD) during working memory processes in adults with and without ADHD. MethodsWe collected electroencephalographic (EEG) data from 85 adults with a lifetime diagnosis of ADHD and 105 controls (aged 32–64), while they performed a continuous performance (CPT) and a spatial delayed response working memory task (SDRT). Time-frequency and independent component analysis (ICA) was used to identify alpha (8–12 Hz) clusters to examine group and condition effects during the temporal profile of sustained attention and working memory processes (encoding, maintenance, retrieval), loads (low and high) and trial type (go and nogo). ResultsIndividuals with ADHD exhibited higher reaction time-variability in SDRT, and slower response times in SDRT and CPT, despite no differences in task accuracy. Although working memory load was associated with stronger alpha ERD in both tasks and both groups (ADHD, controls), we found no consistent evidence for attenuated alpha ERD in adults with ADHD, failing to replicate effects reported in children. In contrast, when looking at the whole sample, the correlations of alpha power during encoding with inattention and hyperactivity-impulsivity symptoms were significant, replicating prior findings in children with ADHD, but suggesting an alternate source for these effects in adults. ConclusionsOur results corroborate the robustness of alpha as a marker of visual attention and suggest that occipital alpha ERD normalizes in adulthood, but with unique contributions of centro-occipital alpha ERD, suggesting a secondary source. This implies that deviations in processes other than previously reported visuospatial cortex engagement may account for the persistent symptoms and cognitive deficits in adults with a history of ADHD.

Knowledge by omission: the significance of omissions in the 5-choice serial reaction time task.

The 5-choice serial reaction time task (5-CSRTT) is commonly used to assess attention in rodents. Manipulation of this task by decreasing the light stimulus duration is often used to probe attentional capacity and causes a decrease in accuracy and an increase in omissions. However, although a decrease in response accuracy is commonly interpreted as a decrease in attention, it is more difficult to interpret an increase in omissions in terms of attentional performance. Here we present a series of experiments in rats that seeks to investigate the origins of these key behavioral measures of attention in the 5-CSRTT. After an initial training in the 5-CSRTT, rats were tested in a variable stimulus duration procedure to increase task difficulty and probe visual attentional capacity under several specific controlled conditions. We found that response accuracy reflects visuospatial sustained attentional processing, as commonly interpreted, while response omission reflects rats' ignorance about the stimulus location, presumably due to failure to pay attention to the curved wall during its presentation. Moreover, when rats lack of relevant information, they choose not to respond instead of responding randomly. Finally, pretreatment with nicotine selectively decreased response omissions, without affecting response accuracy, particularly when the attentional demand was high. Overall, our results indicate that response accuracy and response omission thus correspond to two distinct attentional states.

Time-varying functional connectivity predicts fluctuations in sustained attention in a serial tapping task.

The mechanisms for how large-scale brain networks contribute to sustained attention are unknown. Attention fluctuates from moment to moment, and this continuous change is consistent with dynamic changes in functional connectivity between brain networks involved in the internal and external allocation of attention. In this study, we investigated how brain network activity varied across different levels of attentional focus (i.e., "zones"). Participants performed a finger-tapping task, and guided by previous research, in-the-zone performance or state was identified by low reaction time variability and out-of-the-zone as the inverse. In-the-zone sessions tended to occur earlier in the session than out-of-the-zone blocks. This is unsurprising given the way attention fluctuates over time. Employing a novel method of time-varying functional connectivity, called the quasi-periodic pattern analysis (i.e., reliable, network-level low-frequency fluctuations), we found that the activity between the default mode network (DMN) and task positive network (TPN) is significantly more anti-correlated during in-the-zone states versus out-of-the-zone states. Furthermore, it is the frontoparietal control network (FPCN) switch that differentiates the two zone states. Activity in the dorsal attention network (DAN) and DMN were desynchronized across both zone states. During out-of-the-zone periods, FPCN synchronized with DMN, while during in-the-zone periods, FPCN switched to synchronized with DAN. In contrast, the ventral attention network (VAN) synchronized more closely with DMN during in-the-zone periods compared with out-of-the-zone periods. These findings demonstrate that time-varying functional connectivity of low frequency fluctuations across different brain networks varies with fluctuations in sustained attention or other processes that change over time.

Reappraisal is less effective than distraction in downregulation of neural responses to physical threats-An event-related potential investigation.

Evolutionary threats (ETs), such as predatory animals and heights, elicit stronger fear responses and are more often the subject of specific phobias, as compared to modern threats (MTs, such as guns and motorcycles). Since processing of ET depends on lower-order, phylogenetically conserved neural fear circuits, it may be less susceptible to higher-order (vs. simpler) cognitive emotion regulation. Given the relevance for treatment of specific phobias, we tested this hypothesis in an ERP study. Sixty-one female participants passively watched high- and low-threat pictures of evolutionary (snakes, lizards) and modern (guns, water-guns) origin, and downregulated responses to the high-threat pictures (snakes and guns) using either cognitive reappraisal or a simpler cognitive distraction strategy. ET elicited stronger early (EPN) and sustained (LPP) attention processing compared to MT. Both strategies successfully downregulated subjective and LPP (but not EPN) responses compared to passive watching. Although reappraisal was more effective subjectively, distraction downregulated the LPP earlier and stronger than reappraisal, irrespective of the threat type. These findings provide novel evidence that neural responses to physical threat might be less susceptible to cognitive emotion regulation via higher-order (reappraisal) versus simpler (distraction) strategies, irrespective of the evolutionary or modern relevance of threat. Combining both strategies could be beneficial for the emotion regulation-enhancing interventions for specific phobias. Distraction could be used during initial exposure, to reduce immediate emotion responding and help endure the contact with the feared stimulus, whereas reappraisal could be used subsequently, when emotions are less intense, to change maladaptive thoughts about the stimulus for future encounters.

Sustained attention performance deficits in the three-choice serial reaction time task in male and female rats after experimental brain trauma

Impaired attention is central to the cognitive deficits associated with long-term sequelae for many traumatic brain injury (TBI) survivors. Assessing complex sustained attention post-TBI is clinically-relevant and may provide reliable avenues towards developing therapeutic and rehabilitation targets in both males and females. We hypothesized that rats subjected to a moderate TBI will exhibit attentional deficits seen as reduced accuracy and increased distractibility in an operant 3-choice serial reaction time task (3-CSRT), designed as an analogue of the clinical continuous performance test. Upon reaching baseline of 70% accuracy at the 300 ms cue, adult male and female Sprague-Dawley rats were subjected to a controlled cortical impact (2.8 mm deformation at 4 m/s) or sham injury over the right parietal cortex. After two weeks of recovery, they were retested on the 3-CSRT for ten days. Dependent measures include percent accuracy (overall and for each of the three cue ports), percent omissions, as well as latency to instrumental poke and retrieve reward. Results demonstrate that both males and females displayed reduced percent accuracy and increased omissions when re-tested post-TBI on 3-CSRT compared to Sham rats and to their own pre-insult baseline (p’s < 0.05). Performance accuracy was impaired consistently throughout the ten days of post-surgery re-testing, suggesting pronounced and long-lasting dysfunction in sustained attention processes. Deficits were specifically more pronounced when the cue was pseudorandomly presented in the left-side cue port (p < 0.05), mirroring clinical hemispatial neglect. These data demonstrate significant and persistent complex attention impairments in both sexes after TBI, rendering identifying efficient therapies for cognitive recovery as pivotal.

Abnormal structural and functional network topological properties associated with left prefrontal, parietal, and occipital cortices significantly predict childhood TBI-related attention deficits: A semi-supervised deep learning study.

Traumatic brain injury (TBI) is a major public health concern in children. Children with TBI have elevated risk in developing attention deficits. Existing studies have found that structural and functional alterations in multiple brain regions were linked to TBI-related attention deficits in children. Most of these existing studies have utilized conventional parametric models for group comparisons, which have limited capacity in dealing with large-scale and high dimensional neuroimaging measures that have unknown nonlinear relationships. Nevertheless, none of these existing findings have been successfully implemented to clinical practice for guiding diagnoses and interventions of TBI-related attention problems. Machine learning techniques, especially deep learning techniques, are able to handle the multi-dimensional and nonlinear information to generate more robust predictions. Therefore, the current research proposed to construct a deep learning model, semi-supervised autoencoder, to investigate the topological alterations in both structural and functional brain networks in children with TBI and their predictive power for post-TBI attention deficits. Functional magnetic resonance imaging data during sustained attention processing task and diffusion tensor imaging data from 110 subjects (55 children with TBI and 55 group-matched controls) were used to construct the functional and structural brain networks, respectively. A total of 60 topological properties were selected as brain features for building the model. The model was able to differentiate children with TBI and controls with an average accuracy of 82.86%. Functional and structural nodal topological properties associated with left frontal, inferior temporal, postcentral, and medial occipitotemporal regions served as the most important brain features for accurate classification of the two subject groups. Post hoc regression-based machine learning analyses in the whole study sample showed that among these most important neuroimaging features, those associated with left postcentral area, superior frontal region, and medial occipitotemporal regions had significant value for predicting the elevated inattentive and hyperactive/impulsive symptoms. Findings of this study suggested that deep learning techniques may have the potential to help identifying robust neurobiological markers for post-TBI attention deficits; and the left superior frontal, postcentral, and medial occipitotemporal regions may serve as reliable targets for diagnosis and interventions of TBI-related attention problems in children.

The associations of childhood psychosocial factors with cognitive function in midlife-The young finns study.

An adverse psychosocial environment in childhood may harm cognitive development, but the associations for adulthood cognitive function remain obscure. We tested the hypothesis that adverse childhood psychosocial factors associate with poor cognitive function in midlife by leveraging the prospective data from the Young Finns Study. At the age of 3-18 years, the participants' psychosocial factors (socioeconomic and emotional environment, parental health behaviors, stressful events, child's self-regulatory behavior, and social adjustment) were collected. In addition to the separate psychosocial factors, a score indicating their clustering was created. Cognitive function was measured at the age of 34-49 years with a computerized test addressing learning and memory (N = 1,011), working memory (N = 1,091), sustained attention and information processing (N = 1,071), and reaction and movement time (N = 999). We observed an inverse association between the accumulation of unfavorable childhood psychosocial factors and poorer learning and memory in midlife (age, sex, education, adulthood smoking, alcohol drinking, and physical activity adjusted β = -0.032, SE = 0.01, p = .009). This association corresponded approximately to the effect of 7 months aging. Specifically, poor self-regulatory behavior (β = -0.074, SE = 0.03, p = .032) and social adjustment in childhood (β = -0.111, SE = 0.03, p = .001) associated with poorer learning ability and memory 30 years later. No associations were found for other cognitive domains. The findings suggest an association of childhood psychosocial factors with midlife learning ability and memory. If these links are causal, the results highlight the importance of a child's self-regulation and social adjustment as plausible determinants for adulthood cognitive health. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

The cognitive profile of middle-aged and older adults with high vs. low autistic traits.

Cognitive differences in memory, information processing speed (IPS), and executive functions (EF), are common in autistic and high autistic trait populations. Despite memory, IPS and EF being sensitive to age-related change, little is known about the cognitive profile of older adults with high autistic traits. This study explores cross-sectional memory, IPS and EF task performance in a large sample of older adults in the online PROTECT cohort (n= 22,285, aged 50-80 years), grouped by high vs. low autistic traits. Approximately 1% of PROTECT participants (n= 325) endorsed high autistic traits [henceforth Autism Spectrum Trait (AST) group]. Differences between AST and age-, gender-, and education-matched comparison older adults (COA; n= 11,744) were explored on memory, IPS and EF tasks and questionnaires administered online. AST had lower performance than COA on tasks measuring memory, working memory, sustained attention, and information processing. No group differences were observed in simple attention or verbal reasoning. A similar pattern of results was observed when controlling for age, and current depression and anxiety symptoms. In addition, AST self-reported more cognitive decline than COA, but this difference was not significant when controlling for current depression symptoms, or when using informant-report. These findings suggest that autistic traits are associated with cognitive function in middle-aged and later life. Older adults with high autistic traits experienced more performance difficulties in a range of memory, IPS and EF tasks compared with the low autistic traits comparison group. Further longitudinal work is needed to examine age-related change in both older autistic and autistic trait populations.

Visual P3 abnormalities in patients with first-episode schizophrenia, unaffected siblings of schizophrenia patients and individuals at ultra-high risk for psychosis

Cued version of the continuous performance test (AX-CPT) assesses sustained attention, working memory and cognitive control processes, which have been reported as impaired in schizophrenia. This study investigated visual P3 event-related potential elicited during cued CPT in patients with schizophrenia and in individuals who were at clinical or genetic high risk for psychosis to determine whether any abnormality may provide a marker of vulnerability for psychosis. Visual P3 elicited during cued CPT have not been reported in individuals at high risk for psychosis. Visual Go and NoGo P3 potentials were assessed in 34 antipsychotic-naive patients with first-episode schizophrenia (FES), 25 clinically unaffected siblings of these patients (familial high-risk for psychosis, FHR), 49 antipsychotic-naive individuals at ultra-high risk for psychosis (UHR) and 37 healthy control (HC) participants. FES patients had overall smaller P3 amplitudes than all other groups. P3 amplitude of the UHR participants was in-between the HC participants and FES patients. The anteroposterior P3 topography differed between the groups, with FES patients and FHR participants showing a more frontally distributed P3 compared with the HC participants. These findings suggest that the reduction in visual P3 amplitude may provide a vulnerability marker for psychosis in individuals who are at clinical high risk for psychosis and that a more frontally distributed visual P3 may be a marker of genetic liability for psychosis.

The effects of prenatal stress on neural responses to infant cries in expectant mothers and fathers.

The perinatal period is characterized by distinct neurobiological and psychological changes initiated prenatally, which may both facilitate postpartum caregiving and increase vulnerability to stress. Parents need to adapt to the high demands of caregiving, which include responding to salient infant cues, such as infant cries. Therefore, assessing the impact of prenatal stress exposure on parents' neural processing of infant cries may elucidate mechanisms conferring early risk for detrimental perinatal outcomes. Using event-related potentials, we examined whether prenatal perceived stress affected neural markers of perceptual (N1, P2) and attentional (LPP) processes elicited by high- and low-distress infant cries in expectant mothers (n=38) and fathers (n=30). Results evidenced that prenatal perceived stress impacted parents' sustained attentional processing (LPP) of infant cries, but not early perceptual responses (N1, P2). Specifically, higher levels of prenatal perceived stress were associated with a greater LPP response to low-distress, but not high-distress, infant cries. There were no parental sex differences in prenatal perceived stress or neural responses to infant cries. Increased attentional processing of low-distress cries in highly stressed parents may reflect uncertainty regarding infant distress level, thereby requiring more attentional resources. Overall, our results suggest that prenatal stress impacts processing of infant cues, even before birth.

Impact of Hearing Loss on Cognitive Abilities in Subjects with Tinnitus.

This study aimed to delineate the underlying pathophysiology of tinnitus between normal hearing and hearing loss subjects. The study aimed to characterize the neuropsychological aspects of two types of groups with tinnitus having variable hearing thresholds. The study sample comprises 75 subjects in a group with tinnitus and normal hearing, and 100 subjects in the tinnitus and hearing loss group. Subjects were matched to their respective controls for age, gender, and education levels. Subjects underwent verbal learning and memory tasks, visual learning, memory, listening attention, sustained visual attention, work memory, category control, phonemic mastery, response inhibition, and data processing velocity. Subjects having hearing loss with bilateral tinnitus showed significantly reduced performance on total learning capacity (P = 0.02) and recognition (P = 0.05) (Rey's auditory verbal learning test), auditory attention tasks, digit forward span test (DFST) (P = 0.03), digit span test score (P = 0.01), and working memory (P = 0.02) (digit backward span test). For response inhibition tasks and Stroop interference (P = 0.03), subjects with normal hearing with bilateral tinnitus displayed lower performance. This study proves a relationship between poor working memory, auditory memory, total learning capacity, and recognition due to hearing impairment in bilateral Tinnitus subjects. The study has substantial implications for effective assessment and treatment recommendations in hearing loss with bilateral tinnitus subjects.

Abnormal Functional Network Topology and Its Dynamics during Sustained Attention Processing Significantly Implicate Post-TBI Attention Deficits in Children

Traumatic brain injury (TBI) is highly prevalent in children. Attention deficits are among the most common and persistent post-TBI cognitive and behavioral sequalae that can contribute to adverse outcomes. This study investigated the topological properties of the functional brain network for sustained attention processing and their dynamics in 42 children with severe post-TBI attention deficits (TBI-A) and 47 matched healthy controls. Functional MRI data during a block-designed sustained attention task was collected for each subject, with each full task block further divided into the pre-, early, late-, and post-stimulation stages. The task-related functional brain network was constructed using the graph theoretic technique. Then, the sliding-window-based method was utilized to assess the dynamics of the topological properties in each stimulation stage. Relative to the controls, the TBI-A group had significantly reduced nodal efficiency and/or degree of left postcentral, inferior parietal, inferior temporal, and fusiform gyri and their decreased stability during the early and late-stimulation stages. The left postcentral inferior parietal network anomalies were found to be significantly associated with elevated inattentive symptoms in children with TBI-A. These results suggest that abnormal functional network characteristics and their dynamics associated with the left parietal lobe may significantly link to the onset of the severe post-TBI attention deficits in children.

Countering the Cognitive, Linguistic, and Psychological Underpinnings Behind Susceptibility to Fake News: A Review of Current Literature With Special Focus on the Role of Age and Digital Literacy

Fake news poses one of the greatest threats to democracy, journalism, and freedom of expression. In recent cases, fake news’ designs are to create confusion and lower trust among the general public—as seen in the 2016 United States presidential campaign and the Brexit referendum. The spread of information without formal verification increased since the introduction of social media and online news channels. After the popularization of fake news, researchers have tried to evaluate and understand the effects of false information from multiple different perspectives. However, it is evident that to tackle the problem of fake news, interdisciplinary collaboration is needed. This article evaluates the main findings of recent literature from an integrated psychological, linguistic, cognitive, and societal perspective, with a particular focus on digital and age-related aspects of fake news. From a psychosociological standpoint, the article provides a synthesized profile of the fake news believer. This profile generally denotes overconfidence in one’s ability to assess falsehoods due to a human need for causal explanations. The fake news believer can be described as well-intentioned and critical, yet driven by a basis of distrust and false foundational knowledge. Within linguistics, manual analytical tools exist to understand the persuasive tactics in fake news. The article takes analytical techniques from both the humanities and the social sciences, such as transitivity analysis, Hugh Rank’s language persuasive framework, and others that can be used to analyze the language used in the news. However, in the age of big data perhaps only computational techniques can adequately address the issue at the root. While this proves successful, there are hurdles like the ambiguity of satire and sarcasm, manual labeling of data, and the supple nature of language. Reading comprehension differences between digital versus paper reading seem inconclusive. There are, however, notable behavioral and cognitive differences in reading behavior for the digital medium such as more scanning, less sustained attention, cognitive retreat, and shallower processing. Interestingly, when metacognitive strategies were probed by, for example, having participants independently allocate reading time, a difference in comprehension scores started to emerge. Researchers have also found accounts of differences due to medium preference; and on average older people seem to prefer paper reading. Cognitive retreat, shallow processing, and overconfidence associated with digital reading and the digital medium, in general, might make readers less likely to engage in the cognitive effort fake news detection requires. Considering that there are clear cognitive differences between older generations and younger generations (in terms of decreased processing speed, metacognition, and ability to multitask) differences in how these generations process fake news is plausible. Regrettably, most current research into psychological factors influencing susceptibility to fake news does not take into account age differences. Our meta-analysis showed that 74% of behavioral studies looking at fake news largely ignore age (N= 62), even though voter turnout was far higher among older generations for both the 2016 United States presidential election and the 2016 United Kingdom European Union membership referendum. Many provisional programs set up in the past few years aimed at training digital literacy, reading comprehension, and asking critical questions as virtual skills to detect fake news. These training programs are, however, mostly aimed at younger – digitally native – groups. As a result, these efforts might not be as efficacious as intended and could be improved upon significantly. This article argues that age must become a larger focus in fake news research and efforts in educating people against fake news must expand outside of the universities and isolated areas and include older generations.

Attention and Default Mode Network Assessments of Meditation Experience during Active Cognition and Rest.

Meditation experience has previously been shown to improve performance on behavioral assessments of attention, but the neural bases of this improvement are unknown. Two prominent, strongly competing networks exist in the human cortex: a dorsal attention network, that is activated during focused attention, and a default mode network, that is suppressed during attentionally demanding tasks. Prior studies suggest that strong anti-correlations between these networks indicate good brain health. In addition, a third network, a ventral attention network, serves as a “circuit-breaker” that transiently disrupts and redirects focused attention to permit salient stimuli to capture attention. Here, we used functional magnetic resonance imaging to contrast cortical network activation between experienced focused attention Vipassana meditators and matched controls. Participants performed two attention tasks during scanning: a sustained attention task and an attention-capture task. Meditators demonstrated increased magnitude of differential activation in the dorsal attention vs. default mode network in a sustained attention task, relative to controls. In contrast, there were no evident attention network differences between meditators and controls in an attentional reorienting paradigm. A resting state functional connectivity analysis revealed a greater magnitude of anticorrelation between dorsal attention and default mode networks in the meditators as compared to both our local control group and a n = 168 Human Connectome Project dataset. These results demonstrate, with both task- and rest-based fMRI data, increased stability in sustained attention processes without an associated attentional capture cost in meditators. Task and resting-state results, which revealed stronger anticorrelations between dorsal attention and default mode networks in experienced mediators than in controls, are consistent with a brain health benefit of long-term meditation practice.

Lost in Time: Temporal Monitoring Elicits Clinical Decrements in Sustained Attention Post-Stroke.

Mental fatigue, 'brain fog', and difficulties maintaining engagement are commonly reported issues in a range of neurological and psychiatric conditions. Traditional sustained attention tasks commonly measure this capacity as the ability to detect target stimuli based on sensory features in the auditory or visual domains. However, with this approach, discrete target stimuli may exogenously capture attention to aid detection, thereby masking deficits in the ability to endogenously sustain attention over time. To address this, we developed the Continuous Temporal Expectancy Task (CTET) where individuals continuously monitor a stream of patterned stimuli alternating at a fixed temporal interval (690ms) and detect an infrequently occurring target stimulus defined by a prolonged temporal duration (1020ms or longer). As such, sensory properties of target and non-target stimuli are perceptually identical and differ only in temporal duration. Using the CTET, we assessed stroke survivors with unilateral right hemisphere damage (N = 14), a cohort in which sustained attention deficits have been extensively reported. Stroke survivors had overall lower target detection accuracy compared with neurologically healthy age-matched older controls (N = 18). Critically, stroke survivors performance was characterised by significantly steeper within-block performance decrements, which occurred within short temporal windows (˜3 ½ min), and were restored by the break periods between blocks. These findings suggest that continuous temporal monitoring taxes sustained attention processes to capture clinical deficits in this capacity over time, and outline a precise measure of the endogenous processes hypothesised to underpin sustained attention deficits following right hemisphere stroke.

Mejorando la calidad de vida de niños con TDAH a través de la estimulación cognitiva-conductual

Attention Deficit Hyperactivity Disorder (ADHD) is behavioral, usually detected from the age of 7, with a chronic nature, presenting difficulties of sustained attention, working memory, inhibition and self-regulation processes, cognitive flexibility, among others, interfering not only in academic performance but causing self-esteem problems, depression and anxiety in the child or adolescent. A support application was developed in the treatment of children with ADHD that integrate occupational and multisensory activities to stimulate their cognitive-behavioral development. It was implemented by applying an evolutionary development model, using several of the T.I. more current such as JavaScript, HTML5, CSS, PHP and MySQL. The results in children are encouraging when comparing the evaluation of their initial diagnosis before starting treatment, with those obtained after ten months of using the application. It was possible to capture and focus the children's attention, favoring memory, attention and teamwork, as well as a substantial improvement in their mood, motivation, relaxation and behavior.

Using a multidimensional model of attention to predict low-income preschoolers' early academic skills across time.

The current study examines the organization of attention skills across the preschool year before kindergarten, and tests how distinct attention subcomponents predict early academic skills in a sample of low-income children (n=99). Children completed well-validated attention tasks in fall at 4.5 years old and spring at 5 years old, capturing the abilities to selectively focus, sustain attention, and employ executive control. Exploratory factor analyses at both time points support a 2-factor model differentiating selective and sustained attention from attention processing speed and executive attention, suggesting that attention in low-income preschoolers may have a simpler organization than the 3-factor structure found in adulthood. Multiple regression models find children's ability to selectively focus and sustain attention serves as a robust concurrent and longitudinal predictor of academic skills. These results highlight the role of selective and sustained attention processes in supporting school readiness for economically vulnerable children.

0299 Total Sleep Deprivation and Time on Task: Not the Same for Sustained Attention and Executive Processes and Poor Benefit of Caffeine

Abstract Introduction Mental Fatigue is commonly questioned regarding time on task or sleep debt effect (Hockey, 2013; Pattyn et al., 2018) or sleep debt effect (Krause et al., 2017). No studies have neither investigated contributions of these two factors for different cognitive processes nor benefit of caffeine. Methods 24 right-handed and healthy subjects (18–50 years old), with a median chronotype and sleep need participated in a 2-experimental counter-balanced (placebo: PBO and caffeine: COFFEE - 2.5 mg/kg) total sleep deprivation protocol (TSD = 27 hours of continuous wakefulness). Subjective sleepiness (KSS), sustained attention (PC-PVT), inhibition (Go-NoGo) and working memory (2N-Back) capabilities were tested each morning during BASE and TSD (10 min. test session from 9:15 am to 10:15 am). Caffeine was ingested with a decaffeinated drink at 8:30 am. Results KSS score (5.6±0.4 vs 3.2±0.3; p&amp;lt;0.001), number of Lapses (9.8±1.7 vs 0.4±0.2; p&amp;lt;0.001), mean response time (RT: 308±4.9 vs 260±9.4; p&amp;lt;0.001) in PVT, errors of commission (6.4±0.4 vs 3.1±0.3; p&amp;lt;0.01) and mean response time (RT: 336±24 vs 301±13; p&amp;lt;0.01) in Go-NoGo were significantly higher after TSD compared to BASE. Neither significant difference in the proportion of correct responses (CR: 0.92±0.015 vs 0.90±0.014; p&amp;gt;0.15) nor RT (592±49 vs 640±28 ms, p &amp;gt; 0,11), were observed in the 2N-Back task. Further analyses showed different TOT x TSD interaction for PVT (after 3 min of task engagement), Go-NoGo (after 6 min) and 2N-Back (after 8 min). Number of Lapses was significantly but partially reduced (5.8±0.4 vs 9.8±1.7; p&amp;lt;0.01) in COFFEE condition compared with PBO with more aversive effects for Go-NoGo errors and 2N-Back BR. Conclusion Our results are in accordance with previous studies showing differential kinetic of cognitive deficits under TSD, limited benefit of sleep banking and regular physical activity (Arnal et al., 2015; Rabat et al., 2019; Sauvet et al., 2019) and no benefit of caffeine on executive processes (Gottsellig et coll., 2006; Killgore et coll., 2007, 2012). Keywords: TSD, TOT, Attention, Executive, Caffeine. Support Grants from the French General Directorate for Armament (Contract Number: SAN-1–509).

Cognitive Impairment in Multiple Sclerosis

Cognitive impairment is one of the major symptoms of multiple sclerosis (MS) and one that often remains unnoticed. An adequate battery should be used to evaluate cognitive function in patients with MS because cognitive impairment in MS typically involves specific deficits such as sustained attention and information processing speed rather than global cognitive decline. Cognitive impairment could influence patients' daily and social activities. It is not easy to improve cognitive impairment in patients with MS, and it is important to prevent the decline of function using disease-modifying drugs for MS.