Utilizing Cognitive Training to Improve Working Memory, Attention, and Impulsivity in School-Aged Children with ADHD and SLD

The Psychometric Structure of Executive Functions: A Satisfactory Measurement Model? An Examination Using Meta-Analysis and Network Modeling

A long-standing debate among cognitive scientists has focused on describing the underlying nature of executive functions, which has important implications for both theoretical and applied research. Miyake et al.'s three-factor model has often been considered the gold-standard representation of executive functions and has driven much research in the field. More recently, however, there have been increasing concerns that the three-factor model does not adequately describe a highly complex construct such as executive functions. The current project presents two studies that examine the veracity of Miyake et al.'s model and propose a new approach (i.e., network modeling) for detecting the underlying nature of executive functions. The current results raise questions about the psychometric strength and adequacy of the three-factor model. Further, the studies presented here provide evidence that network modeling provides a better understanding of executive functions as it better captures (relative to latent variable modeling) the complexity of cognitive processes. Theoretical and applied implications are discussed.

Meta-analysis of the efficacy of digital therapies in children with attention-deficit hyperactivity disorder

Background

Attention deficit hyperactivity disorder (ADHD) is a neurodevelopmental disorder that commonly occurs in childhood. The aim of this meta-analysis was to summarize the available evidence for the efficacy of digital therapeutics in children and adolescents with ADHD.

Methods

We searched the MEDLINE, EMBASE, Cochrane Library (Cochrane Database of Systematic Reviews), and Web of Science (science and social science citation index) databases for relevant studies and used Stata 15.0 software to carry out the meta-analysis.

Results

A total of 31 studies involving 2169 participants (1665 boys and 504 girls) aged 4-17 years old were included in the final analysis. The meta-analysis results showed that digital interventions improved the symptoms of inattention with an effect value of -0.20 (95% confidence interval [CI] -0.36, -0.04) and decreased the continuous performance task (CPT) reaction time (effect, -0.40, 95% CI -0.73, -0.07) in ADHD patients. The score for impulsive hyperactivity was slightly decreased (effect, -0.07, 95% CI -0.23, 0.09). Moreover, executive function was improved (effect, 0.71, 95% CI 0.37, 1.04). The capability of working memory appeared to be increased (effect, 0.48, 95% CI 0.21, 0.76) between the two groups. Visual appraisal of the sensitivity analysis suggested the absence of heterogeneity, and no obvious publication bias was detected.

Discussion

Based on the existing literature evidence, we conclude that digital therapy can be a promising therapeutic strategy for ADHD patients.

The effect of computerized working memory training on working memory and emotion perception for patients with chronic schizophrenia and normal cognition

BACKGROUND

Cognitive impairment and affective symptoms are hallmark features of patients with schizophrenia. This study determines whether a computerized working memory training program improves the patient's working memory and affective perception.

METHODS

Thirty-nine male patients with schizophrenia, aged 25-65, participated in this study. The study uses a single-blind randomized controlled design. Twenty subjects were assigned to the experimental group and received an eight-week working memory computerized training course comprising four modules of the CogniPlus system. Nineteen subjects were assigned to the control group and received treatment as usual. All subjects received the same assessments twice, including the Mini-Mental Status Examination (MMSE), Working Memory Index (WMI) of Wechsler Adult Intelligence Scale-Third Edition, and the subjective rating of pictures of the International affective picture system by Self-Assessment Manikin (SAM).

RESULTS

This study shows that computerized working memory training improves WMI and the score for MMSE and produces a significant increase in the pleasure score for S.A.M. for negative pictures, between the pretest and post-test for the experimental group.

CONCLUSIONS

Working memory training improves working memory and emotion perception for patients with chronic schizophrenia and normal cognition. The limitations of this study and suggestions for future study are also discussed.

Teacher perceptions of working memory and executive function improvements following school-day cognitive training

Considerable research has documented the impact of teacher perceptions on students’ academic-related outcomes (e.g., classroom performance). This body of literature clearly shows that teacher perceptions (resulting from direct interactions with students) can have both positive and negative effects with respect to student behaviors and experiences in the classroom. What remains unclear is whether teachers perceive changes that result from interventions administered outside of their classrooms. The purpose of this study was to examine changes in teacher perceptions of working memory and executive function concerns (two important predictors of academic success) among students who participated in a computerized cognitive training program designed to enhance working memory skills. The current results indicate that teachers perceived fewer concerns following students’ participation in the training; this outcome was supplemented with significant improvements in the students’ working memory capabilities following the training program. These findings have important implications given the literature highlighting the relation between teacher perceptions and student outcomes as a function of a school-based computerized cognitive training intervention.