Literature DB >> 31793795

Neural dynamics of executive function in cognitively able kindergarteners with autism spectrum disorders as predictors of concurrent academic achievement.

So Hyun Kim1, George Buzzell2, Susan Faja3, Yeo Bi Choi1, Hannah R Thomas1, Natalie Hiromi Brito4, Lauren C Shuffrey5, William P Fifer5,6, Frederick D Morrison7, Catherine Lord8, Nathan Fox2.   

Abstract

Although electrophysiological (electroencephalography) measures of executive functions (e.g. error monitoring) have been used to predict academic achievement in typically developing children, work investigating a link between error monitoring and academic skills in children with autism spectrum disorder is limited. In this study, we employed traditional electrophysiological and advanced time-frequency methods, combined with principal component analyses, to extract neural activity related to error monitoring and tested their relations to academic achievement in cognitively able kindergarteners with autism spectrum disorder. In total, 35 cognitively able kindergarteners with autism spectrum disorder completed academic assessments and the child-friendly "Zoo Game" Go/No-go task at school entry. The Go/No-go task successfully elicited an error-related negativity and error positivity in children with autism spectrum disorder as young as 5 years at fronto-central and posterior electrode sites, respectively. We also observed increased response-related theta power during errors relative to correct trials at fronto-central sites. Both larger error positivity and theta power significantly predicted concurrent academic achievement after controlling for behavioral performance on the Zoo Game and intelligence quotient. These results suggest that the use of time-frequency electroencephalography analyses, combined with traditional event-related potential measures, may provide new opportunities to investigate neurobiological mechanisms of executive function and academic achievement in young children with autism spectrum disorder.

Entities:  

Keywords:  academic achievement; autism spectrum disorder; executive function

Mesh:

Year:  2019        PMID: 31793795      PMCID: PMC7166140          DOI: 10.1177/1362361319874920

Source DB:  PubMed          Journal:  Autism        ISSN: 1362-3613


  66 in total

1.  The unity and diversity of executive functions and their contributions to complex "Frontal Lobe" tasks: a latent variable analysis.

Authors:  A Miyake; N P Friedman; M J Emerson; A H Witzki; A Howerter; T D Wager
Journal:  Cogn Psychol       Date:  2000-08       Impact factor: 3.468

2.  EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis.

Authors:  Arnaud Delorme; Scott Makeig
Journal:  J Neurosci Methods       Date:  2004-03-15       Impact factor: 2.390

3.  From ERPs to academics.

Authors:  Charles H Hillman; Matthew B Pontifex; Robert W Motl; Kevin C O'Leary; Christopher R Johnson; Mark R Scudder; Lauren B Raine; Darla M Castelli
Journal:  Dev Cogn Neurosci       Date:  2011-07-27       Impact factor: 6.464

Review 4.  Neural mechanisms and temporal dynamics of performance monitoring.

Authors:  Markus Ullsperger; Adrian G Fischer; Roland Nigbur; Tanja Endrass
Journal:  Trends Cogn Sci       Date:  2014-03-19       Impact factor: 20.229

Review 5.  Neural systems for error monitoring: recent findings and theoretical perspectives.

Authors:  Stephan F Taylor; Emily R Stern; William J Gehring
Journal:  Neuroscientist       Date:  2007-04       Impact factor: 7.519

6.  Error-related negativity predicts academic performance.

Authors:  Jacob B Hirsh; Michael Inzlicht
Journal:  Psychophysiology       Date:  2009-08-07       Impact factor: 4.016

7.  Visual and somatosensory event-related brain potentials in autistic children and three different control groups.

Authors:  C Kemner; M N Verbaten; J M Cuperus; G Camfferman; H Van Engeland
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1994-05

8.  Decision processes in human performance monitoring.

Authors:  Marco Steinhauser; Nick Yeung
Journal:  J Neurosci       Date:  2010-11-17       Impact factor: 6.167

9.  Brief Report: The Go/No-Go Task Online: Inhibitory Control Deficits in Autism in a Large Sample.

Authors:  F Uzefovsky; C Allison; P Smith; S Baron-Cohen
Journal:  J Autism Dev Disord       Date:  2016-08

10.  Theta and delta band activity explain N2 and P3 ERP component activity in a go/no-go task.

Authors:  Jeremy Harper; Stephen M Malone; Edward M Bernat
Journal:  Clin Neurophysiol       Date:  2013-07-23       Impact factor: 3.708

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  5 in total

1.  Time-frequency dynamics of error monitoring in childhood: An EEG study.

Authors:  Santiago Morales; Maureen E Bowers; Stephanie C Leach; George A Buzzell; William Fifer; Amy J Elliott; Nathan A Fox
Journal:  Dev Psychobiol       Date:  2022-04       Impact factor: 2.531

2.  A practical introduction to EEG Time-Frequency Principal Components Analysis (TF-PCA).

Authors:  George A Buzzell; Yanbin Niu; Selin Aviyente; Edward Bernat
Journal:  Dev Cogn Neurosci       Date:  2022-05-13       Impact factor: 5.811

Review 3.  Sex differences in neuronal systems function and behaviour: beyond a single diagnosis in autism spectrum disorders.

Authors:  Olivia O F Williams; Madeleine Coppolino; Melissa L Perreault
Journal:  Transl Psychiatry       Date:  2021-12-09       Impact factor: 6.222

4.  Evaluating Preschool Visual Attentional Selective-Set: Preliminary ERP Modeling and Simulation of Target Enhancement Homology.

Authors:  Amedeo D'Angiulli; Dao Anh Thu Pham; Gerry Leisman; Gary Goldfield
Journal:  Brain Sci       Date:  2020-02-22

5.  Muscle strength and executive function in children and adolescents with autism spectrum disorder.

Authors:  Sebastian Ludyga; Uwe Pühse; Markus Gerber; Manuel Mücke
Journal:  Autism Res       Date:  2021-08-05       Impact factor: 4.633

  5 in total

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