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The objective of this research was to develop robust predictive models of the gains in working memory (WM) and fluid intelligence (Gf) following executive attention training in children, using genetic markers, gender, and age variables. We explore the influence of genetic variables on individual differences in susceptibility to intervention. Sixty-six children (males: 54.2%) aged 50.9-75.9 months participated in a four-weeks computerized training program. Information on genes involved in the regulation of dopamine, serotonin, norepinephrine, and acetylcholine was collected. The standardized pre- to post-training gains of two dependent measures were considered: WM Span backwards condition (WISC-III) and the IQ-f factor from the Kaufman Brief Intelligence Test (K-BIT). A machine-learning methodology was implemented utilizing multilayer perceptron artificial neural networks (ANN) with a backpropagation algorithm. Both ANN models reached high overall accuracy in their predictive classification. Variations in genes involved in dopamine and norepinephrine neurotransmission affect children's susceptibility to benefit from executive attention training, a pattern that is consistent with previous studies.

This randomized, controlled study examined the initial efficacy of an executive function training program for children with autism spectrum disorder. Seventy 7- to 11 year-olds with autism spectrum disorder and intelligence quotients [greater than or equal to]80 were randomly assigned to receive a web-based set of executive function training games combined with in-person metacognition coaching or to a waitlist. Primary outcomes were evaluated for neural responses related to executive function, lab-based executive function behavior, and generalization of executive function skills. Secondary outcomes included measures of social function. Post-testing and analyses were conducted by staff naïve to group assignment. Children exhibited a change in neural response following training relative to the waitlist group ([eta][subscript p][superscript 2]=0.14). Training effects were not detected via lab-based tasks ([eta][subscript p][superscript 2]s<0.02) or generalized to caregiver-reported executive function skills outside the lab ([eta][subscript p][superscript 2]=0.0001). However, the training group demonstrated reduced symptoms of repetitive behavior ([eta][subscript p][superscript 2]<0.015) following training. There were no adverse events or attrition from the training group. Findings suggest that brief, targeted computer-based training program accompanied by coaching is feasible and may improve neural responses and repetitive behaviors of school-aged children with autism spectrum disorder.

The present investigation focused on assessing cognitive and affective effects of indoor exercising while exposing the participants to a video simulation of nature (simulated nature), compared to the typical indoor exercising (control condition). Participants (N = 21, physically active amateur cyclists) completed an incremental effort test to establish their aerobic power. Next, they cycled for 55 minutes under one of two randomized conditions using a within-subjects design: simulated nature, involving the presentation of an outdoor soundscape video, versus the control condition, representing the indoor cycling condition. At the end of each cycling session, conducted 3-7 days apart, participants completed a set of psychological assessments focused on their cognitive functions, including executive attention, vigilance, working memory, as well as and affective functioning, encompassing anxiety, depression, negative and positive affect. The results suggest that exercising in simulated natural environment conditions has little significant cognitive and or affective benefits after controlling for physical effort. [ABSTRACT FROM AUTHOR]

In the present study, we investigated developmental trajectories of alerting, orienting, and executive attention networks and their interactions over childhood. Two cross-sectional experiments were conducted with different samples of 6-to 12-year-old children using modified versions of the attention network task (ANT). In Experiment 1 (N = 106), alerting and orienting cues were independently manipulated, thus allowing examination of interactions between these 2 networks, as well as between them and the executive attention network. In Experiment 2 (N = 159), additional changes were made to the task in order to foster exogenous orienting cues. Results from both studies consistently revealed separate developmental trajectories for each attention network. Children younger than 7 years exhibited stronger benefits from having an alerting auditory signal prior to the target presentation. Developmental changes in orienting were mostly observed on response accuracy between middle and late childhood, whereas executive attention showed increases in efficiency between 7 years and older ages, and further improvements in late childhood. Of importance, across both experiments, significant interactions between alerting and orienting, as well as between each of these and the executive attention network, were observed. Alerting cues led to speeding shifts of attention and enhancing orienting processes. Also, both alerting and orienting cues modulated the magnitude of the flanker interference effect. These findings inform current theoretical models of human attention and its development, characterizing for the first time, the age-related course of attention networks interactions that, present in adults, stem from further refinements over childhood.

Research Findings: Part of the attention system of the brain is involved in the control of thoughts, emotions, and behavior. As attentional control develops, children are more able to control cognition and responses flexibly and to adjust their behavior in social interactions better. In this article, we discuss evidence from different levels of analysis (e.g., temperamental, cognitive, and neural) indicating that attentional control plays a central role in several factors related to schooling, including socioemotional adjustment and academic achievement. Connecting behavioral and cognitive levels of analysis with the function of a particular brain network opens the possibility of exploring other factors that might influence the efficiency of this self-regulatory system. Moreover, understanding the processes and factors influencing the development of attentional control has the potential to help parents and teachers in their effort to promote schooling success. Practice or Policy: We also discuss recent efforts to develop educational interventions aimed at enhancing children's attention skills. (Contains 4 figures.)

Temperament refers to individual differences in two broad aspects of behavior: (1) emotional, motor, and attentional reactivity and (2) self-regulatory processes that modulate such reactivity. These individual differences are grounded in people's constitution and influence both stress reactions and patterns of coping. In this chapter, we examine how individual differences in temperament are conceptually linked to the development of coping and how this association is modulated by the maturation of brain systems underlying temperament. Finally, we argue about the possibility of improving children's coping abilities through intervention programs designed to foster self-regulation. (Contains 1 figure.)

The aim of the current study was to examine the role of individual differences in neurocognitive and temperamental systems of self-regulation in early adolescents' social and academic competence. Measures used in the study included the Attention Network Test, the Early Adolescence Temperament Questionnaire, a peer-reported Social Status Questionnaire, a self-reported measure of Schooling Skills, and information on grades obtained by the students in a variety of school subjects (n = 69 12-year olds). Results showed that efficiency of the neurocognitive network of executive attention is related to academic outcomes, particularly in mathematics, as well as to aspects of social adjustment. Temperamental effortful control appears to be a significant predictor of all dimensions of school competence assessed in this study and mediates the relationship between social adjustment and poor schooling outcomes. These data suggest that individual differences in systems of self-regulation are central to understanding processes of learning and social adjustment in the school.

In this study, self-regulation was investigated in 7- to 10-year-old children using three different measures: (1) parent and child report questionnaires measuring temperamental effortful control, (2) a conflict task assessing efficiency of executive attention, and (3) the mistaken gift paradigm assessing social smiling in response to an undesirable gift. Both efficiency in executive attention and smiling to the undesired gift increased over age. Executive attention was related to both parent-reported temperamental effortful control and smiling, suggesting links between attentional capacities, broad temperament measures, and social situations requiring attentional control.

Everyone knows what paying attention is, yet not everybody knows what this means in cognitive and brain function terms. The attentive state can be defined as a state of optimal activation that allows selecting the sources of information and courses of action in order to optimize our interaction with the environment in accordance with either the saliency of the stimulation or internal goals and intentions. In this article we argue that paying attention consists in tuning the mind with the environment in a conscious and controlled mode in order to enable the strategic and flexible adaptation of responses in accordance with internal motivations and goals. We discuss the anatomy and neural mechanisms involved in attention functions and present a brief overview of the neurocognitive development of this seminal cognitive function on the grounds of self‐regulated behavior. This article is categorized under:Psychology > Attention (BEAB)Brain Function and Dysfunction (BEAC)Cognitive Development (BAAD) [ABSTRACT FROM AUTHOR]

A neural network underlying attentional control involves the anterior cingulate in addition to lateral prefrontal areas. An important development of this network occurs between 3 and 7 years of age. We have examined the efficiency of attentional networks across age and after 5 days of attention training (experimental group) compared with different types of no training (control groups) in 4-year-old and 6-year-old children. Strong improvement in executive attention and intelligence was found from ages 4 to 6 years. Both 4- and 6-year-olds showed more mature performance after the training than did the control groups. This finding applies to behavioral scores of the executive attention network as measured by the attention network test, event-related potentials recorded from the scalp during attention network test performance, and intelligence test scores. We also documented the role of the temperamental factor of effortful control and the DAT1 gene in individual differences in attention. Overall, our data suggest that the executive attention network appears to develop under strong genetic control, but that it is subject to educational interventions during development. attentional intervention | child development | dopamine genes | effortful control | network efficiency

Studies of temperament from early childhood to adulthood have demonstrated inverse relationships between negative affectivity and effortful control. Effortful control is also positively related to the development of conscience and appears as a protective factor in the development of behavior disorders. In this study, the development of attentional mechanisms underlying effortful control was investigated in 2- to 3-year-old children, as indexed by their performance in a) making anticipatory eye movements to ambiguous locations and b) resolving conflict between location and identity in a spatial conflict task. The ability to make anticipatory eye movements to ambiguous locations within a sequence was clearly present at 24 months. By 30 months, children could also successfully perform a spatial conflict task that introduced conflict between identity and location, and at that age, children's success on ambiguous anticipatory eye movements was related to lower interference from conflict in the spatial conflict task. Children's performance on the eye-movement task was correlated with performance and reaction time on spatial tasks, and both were related to aspects of effortful control and negative affect as measured in children's parent-reported temperament.

This randomized, controlled study examined the initial efficacy of an executive function training program for children with autism spectrum disorder. Seventy 7- to 11 year-olds with autism spectrum disorder and intelligence quotients ⩾80 were randomly assigned to receive a web-based set of executive function training games combined with in-person metacognition coaching or to a waitlist. Primary outcomes were evaluated for neural responses related to executive function, lab-based executive function behavior, and generalization of executive function skills. Secondary outcomes included measures of social function. Post-testing and analyses were conducted by staff naïve to group assignment. Children exhibited a change in neural response following training relative to the waitlist group (η p 2 = 0. 14). Training effects were not detected via lab-based tasks (η p 2 s < 0. 02) or generalized to caregiver-reported executive function skills outside the lab (η p 2 = 0. 0001). However, the training group demonstrated reduced symptoms of repetitive behavior (η p 2 < 0. 015) following training. There were no adverse events or attrition from the training group. Findings suggest that brief, targeted computer-based training program accompanied by coaching is feasible and may improve neural responses and repetitive behaviors of school-aged children with autism spectrum disorder. Executive function, which is a set of thinking skills that includes stopping unwanted responses, being flexible, and remembering information needed to solve problems, is a challenge for many children on the autism spectrum. This study tested whether executive function could be improved with a computerized executive function training program under the guidance of a coach who reinforced the use of executive function skills. Seventy children with autism spectrum disorder from age 7 to 11 years of age participated in the study. They were randomly assigned to receive training or to a waiting group. The tests most likely to determine whether the training may be effective were chosen from a larger battery before the study started and included one task measuring brain responses, two measures of executive function in the lab, and a parent questionnaire. Changes in social functioning and repetitive behaviors were also explored. All children assigned to training completed the program and families generally reported the experience was positive. Brain responses of the training group changed following training, but not within the waiting group during a similar time period. Children who received training did not exhibit behavioral changes during the two the lab-based tasks. Parent report on questionnaires indicated that neither group showed a significant change in their broad use of executive function in other settings. Yet, children who received training were reported to have fewer restricted and repetitive behaviors following training. These initial findings suggest that short executive function training activities are feasible and may improve some functioning of school-aged children on the autism spectrum. [ABSTRACT FROM AUTHOR]

Abstract Background Tasks involving conflict are widely used to study executive attention. In the flanker task, a target stimulus is surrounded by distracting information that can be congruent or incongruent with the correct response. Developmental differences in the time course of brain activations involved in conflict processing were examined for 22 four year old children and 18 adults. Subjects performed a child-friendly flanker task while their brain activity was registered using a high-density electroencephalography system. Results General differences were found in the amplitude and time course of event-related potentials (ERPs) between children and adults that are consistent with their differences in reaction time. In addition, the congruency of flankers affected both the amplitude and latency of some of the ERP components. These effects were delayed and sustained for longer periods of time in the children compared to the adults. Conclusions These differences constitute neural correlates of children's greater difficulty in monitoring and resolving conflict in this and similar tasks.

Error detection is one of the functions of the executive attention network, a brain system involved in executive control that includes the anterior cingulate cortex and other prefrontal regions. Despite the key role of this function in a wide range of life outcomes, very limited research has examined the early development of the network and whether its functional efficacy is related to environmental factors. Electrophysiological studies with adults have shown oscillatory activity in theta (4-7 Hz) range arising from medial frontal cortex that follows the detection of self-committed or observed errors. In the current study, we designed a novel experimental procedure that involved a familiarization phase with simple three-pieces puzzles followed by an experimental phase in which toddlers observed the puzzles being formed either correctly or incorrectly. Observation of incorrect configurations produced increased potentials in midline channels and greater power theta activity for both toddlers ( n = 56) and adults ( n = 14). In addition, socioeconomic status of the family in general, and parental education in particular, contributed to individual differences in the amplitude of the error-related signal and associated theta power in toddlers, indicating that children raised in lower SES families show poorer activation of the executive attention network. These data demonstrate the influence of environmental factors at the earliest stages of development of the executive attention network. Importantly, the results show that error-detection EEG signals can be used as neural markers of the initial development of executive attention, which can be of great help for the early detection of risk for developmental disorders involving deficits in this function. [ABSTRACT FROM AUTHOR]