Relations Between the Woodcock-Johnson III Clinical Clusters and Measures of Executive Functions From the Delis-Kaplan Executive Function System

2006 ◽  
Vol 24 (4) ◽  
pp. 303-317 ◽  
Author(s):  
Randy G. Floyd ◽  
Allison C. McCormack ◽  
Elizabeth L. Ingram ◽  
Amy E. Davis ◽  
Renee Bergeron ◽  
...  
Keyword(s):  
Executive Function ◽  
Executive Functions ◽  
Function System ◽  
Woodcock Johnson

scholarly journals Study of the Interaction between Executive Function and Adaptive Behavior at School in Girls with Fragile X Syndrome

Genes ◽  
2021 ◽  
Vol 12 (8) ◽  
pp. 1108
Author(s):  
Lorena Joga-Elvira ◽  
Jennifer Martinez-Olmo ◽  
María-Luisa Joga ◽  
Carlos Jacas ◽  
Ana Roche-Martínez ◽  
...  
Keyword(s):  
Executive Function ◽  
Executive Functions ◽  
Fragile X Syndrome ◽  
Adaptive Behavior ◽  
Neuropsychological Tests ◽  
Rating Scale ◽  
Fragile X ◽  
School Setting ◽  
Control Group ◽  
The Relationship

The aim of this research is to analyze the relationship between executive functions and adaptive behavior in girls with Fragile X syndrome (FXS) in the school setting. This study is part of a larger investigation conducted at the Hospital Parc Tauli in Sabadell. The sample consists of a total of 40 girls (26 with FXS and 14 control) aged 7–16 years, who were administered different neuropsychological tests (WISC-V, NEPSY-II, WCST, TOL) and questionnaires answered by teachers (ABAS-II, BRIEF 2, ADHD Rating Scale). The results show that there is a greater interaction between some areas of executive function (cognitive flexibility, auditory attention, and visual abstraction capacity) and certain areas of adaptive behavior (conceptual, practical, social, and total domains) in the FXS group than in the control group. These results suggest that an alteration in the executive functions was affecting the daily functioning of the girls with FXS to a greater extent.

scholarly journals A machine learning approach for the factorization of psychometric data with application to the Delis Kaplan Executive Function System

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
J. A. Camilleri ◽  
S. B. Eickhoff ◽  
S. Weis ◽  
J. Chen ◽  
J. Amunts ◽  
...  
Keyword(s):  
Machine Learning ◽  
Executive Function ◽  
Executive Functioning ◽  
Factor Model ◽  
Five Factor Model ◽  
Principal Component ◽  
Function System ◽  
Learning Approach ◽  
Psychometric Data ◽  
Machine Learning Approach

AbstractWhile a replicability crisis has shaken psychological sciences, the replicability of multivariate approaches for psychometric data factorization has received little attention. In particular, Exploratory Factor Analysis (EFA) is frequently promoted as the gold standard in psychological sciences. However, the application of EFA to executive functioning, a core concept in psychology and cognitive neuroscience, has led to divergent conceptual models. This heterogeneity severely limits the generalizability and replicability of findings. To tackle this issue, in this study, we propose to capitalize on a machine learning approach, OPNMF (Orthonormal Projective Non-Negative Factorization), and leverage internal cross-validation to promote generalizability to an independent dataset. We examined its application on the scores of 334 adults at the Delis–Kaplan Executive Function System (D-KEFS), while comparing to standard EFA and Principal Component Analysis (PCA). We further evaluated the replicability of the derived factorization across specific gender and age subsamples. Overall, OPNMF and PCA both converge towards a two-factor model as the best data-fit model. The derived factorization suggests a division between low-level and high-level executive functioning measures, a model further supported in subsamples. In contrast, EFA, highlighted a five-factor model which reflects the segregation of the D-KEFS battery into its main tasks while still clustering higher-level tasks together. However, this model was poorly supported in the subsamples. Thus, the parsimonious two-factors model revealed by OPNMF encompasses the more complex factorization yielded by EFA while enjoying higher generalizability. Hence, OPNMF provides a conceptually meaningful, technically robust, and generalizable factorization for psychometric tools.

Profiles of Executive Function Across Children with Distinct Brain Disorders: Traumatic Brain Injury, Stroke, and Brain Tumor

2017 ◽  
Vol 23 (7) ◽  
pp. 529-538 ◽  
Author(s):  
Gabriel C. Araujo ◽  
Tanya N. Antonini ◽  
Vicki Anderson ◽  
Kathryn A. Vannatta ◽  
Christina G. Salley ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Tumor ◽  
Executive Function ◽  
Brain Injury ◽  
Executive Functions ◽  
Control Group ◽  
Medical Illness ◽  
Brain Disorders ◽  
Brain Disorder ◽  
Orthopedic Injury

AbstractObjectives:This study examined whether children with distinct brain disorders show different profiles of strengths and weaknesses in executive functions, and differ from children without brain disorder.Methods:Participants were children with traumatic brain injury (N=82; 8–13 years of age), arterial ischemic stroke (N=36; 6–16 years of age), and brain tumor (N=74; 9–18 years of age), each with a corresponding matched comparison group consisting of children with orthopedic injury (N=61), asthma (N=15), and classmates without medical illness (N=68), respectively. Shifting, inhibition, and working memory were assessed, respectively, using three Test of Everyday Attention: Children’s Version (TEA-Ch) subtests: Creature Counting, Walk-Don’t-Walk, and Code Transmission. Comparison groups did not differ in TEA-Ch performance and were merged into a single control group. Profile analysis was used to examine group differences in TEA-Ch subtest scaled scores after controlling for maternal education and age.Results:As a whole, children with brain disorder performed more poorly than controls on measures of executive function. Relative to controls, the three brain injury groups showed significantly different profiles of executive functions. Importantly, post hoc tests revealed that performance on TEA-Ch subtests differed among the brain disorder groups.Conclusions:Results suggest that different childhood brain disorders result in distinct patterns of executive function deficits that differ from children without brain disorder. Implications for clinical practice and future research are discussed. (JINS, 2017,23, 529–538)

scholarly journals Clinical and neuropsychological assessment of executive function in a sample of children and adolescents with idiopathic epilepsy

2014 ◽  
Vol 72 (12) ◽  
pp. 954-959 ◽  
Author(s):  
Andrea Bandeira de Lima ◽  
Fernanda Moreira ◽  
Marleide da Mota Gomes ◽  
Heber Maia-Filho
Keyword(s):  
Academic Performance ◽  
Executive Function ◽  
Executive Functions ◽  
Children And Adolescents ◽  
Clinical Data ◽  
Wisconsin Card Sorting Test ◽  
Idiopathic Epilepsy ◽  
Control Group ◽  
Seizure Type ◽  
Card Sorting

Objective To compare the executive functions of children and adolescents with idiopathic epilepsy with a control group and to correlate with clinical data, intelligence and academic performance. Method Cross-sectional, descriptive and analytical study. Thirty-one cases and thirty-five controls were evaluated by the WCST (Wisconsin Card Sorting Test).The results were compared with clinical data (seizure type and frequency, disease duration and number of antiepileptic drugs used), IQ (WISC-III) and academic performance (APT). Results Patients with epilepsy had poorer executive function scores. There was no positive linear correlation between test scores and epilepsy variables. There was a positive association between academic performance and some executive function results. Conclusion Children with well controlled idiopathic epilepsy may show deficits in executive functions in spite of clinical variables. Those deficits may influence academic performance.

scholarly journals More alike than different: Novel methods for measuring and modeling executive function development

2021 ◽  
Author(s):  
Jessica Younger ◽  
Kristine O'Laughlin ◽  
Joaquin Anguera ◽  
Silvia Bunge ◽  
Emilio Ferrer ◽  
...  
Keyword(s):  
Executive Function ◽  
Executive Functions ◽  
Middle Childhood ◽  
Analytic Approach ◽  
Data Driven ◽  
Positive Outcomes ◽  
Novel Methods ◽  
Students Success ◽  
Over Time ◽  
Longitudinal Dataset

Abstract Executive functions (EFs) are linked to positive outcomes across the lifespan. Yet, methodological challenges have prevented rigorous understanding of the precise ways EFs are organized in childhood and how they develop over time. We introduce novel methods to address these challenges for both measuring and modeling EFs using a large, accelerated longitudinal dataset from a diverse sample of students in middle childhood (approximately ages 8 to 14; N = 1,286). Adaptive assessments allowed us to equate EF challenge across ages and a data-driven, network analytic approach revealed the evolving diversity of EFs while accounting for their unity. Our results suggest EF organization stabilizes around age 10, but continues refining through at least age 14. This approach brings new precision to EFs’ development by removing interpretative ambiguities associated with previous methodologies. By improving EF measurement, the field can move towards improving EF training, to provide a strong foundation for students’ success.

scholarly journals Limited evidence for executive function load impairing selective copying in a win-stay lose-shift task

PLoS ONE ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. e0247183
Author(s):  
Juliet Dunstone ◽  
Mark Atkinson ◽  
Catherine Grainger ◽  
Elizabeth Renner ◽  
Christine A. Caldwell
Keyword(s):  
Executive Function ◽  
Executive Functions ◽  
Learning Strategies ◽  
Metacognitive Monitoring ◽  
Monitoring Task ◽  
Observed Information ◽  
Experience Effects ◽  
System 2 ◽  
Task Experience ◽  
Switching Task

The use of ‘explicitly metacognitive’ learning strategies has been proposed as an explanation for uniquely human capacities for cumulative culture. Such strategies are proposed to rely on explicit, system-2 cognitive processes, to enable advantageous selective copying. To investigate the plausibility of this theory, we investigated participants’ ability to make flexible learning decisions, and their metacognitive monitoring efficiency, under executive function (EF) load. Adult participants completed a simple win-stay lose-shift (WSLS) paradigm task, intended to model a situation where presented information can be used to inform response choice, by copying rewarded responses and avoiding those that are unrewarded. This was completed alongside a concurrent switching task. Participants were split into three conditions: those that needed to use a selective copying, WSLS strategy, those that should always copy observed information, and those that should always do the opposite (Expt 1). Participants also completed a metacognitive monitoring task alongside the concurrent switching task (Expt 2). Conditions demanding selective strategies were more challenging than those requiring the use of one rule consistently. In addition, consistently copying was less challenging than consistently avoiding observed stimuli. Differences between selectively copying and always copying were hypothesised to stem from working memory requirements rather than the concurrent EF load. No impact of EF load was found on participants’ metacognitive monitoring ability. These results suggest that copying decisions are underpinned by the use of executive functions even at a very basic level, and that selective copying strategies are more challenging than a combination of their component parts. We found minimal evidence that selective copying strategies relied on executive functions any more than consistent copying or deviation. However, task experience effects suggested that ceiling effects could have been masking differences between conditions which might be apparent in other contexts, such as when observed information must be retained in memory.

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