Literature DB >> 34024985

Conducting Event-Related Potential (ERP) Research with Young Children: A Review of Components, Special Considerations and Recommendations for Research on Cognition and Emotion.

Rebecca J Brooker1, John E Bates2, Kristin A Buss3, Mara J Canen4, Tracy A Dennis-Tiwary5, Lisa M Gatzke-Kopp3, Caroline Hoyniak2, Daniel N Klein6, Autumn Kujawa7, Ayelet Lahat8, Connie Lamm9, Jason S Moser10, Isaac T Petersen11, Alva Tang8, Steven Woltering1, Louis A Schmidt8.   

Abstract

There has been an unprecedented increase in the number of research studies employing event-related potential (ERP) techniques to examine dynamic and rapidly-occurring neural processes with children during the preschool and early childhood years. Despite this, there has been little discussion of the methodological and procedural differences that exist for studies of young children versus older children and adults. That is, reviewers, editors, and consumers of this work often expect developmental studies to simply apply adult techniques and procedures to younger samples. Procedurally, this creates unrealistic expectations for research paradigms, data collection, and data reduction and analyses. Scientifically, this leads to inappropriate measures and methods that hinder drawing conclusions and advancing theory. Based on ERP work with preschoolers and young children from 10 laboratories across North America, we present a summary of the most common ERP components under study in the area of emotion and cognition in young children along with 13 realistic expectations for data collection and loss, laboratory procedures and paradigms, data processing, ERP averaging, and typical challenges for conducting this type of work. This work is intended to supplement previous guidelines for work with adults and offer insights to aid researchers, reviewers, and editors in the design and evaluation of developmental research using ERPs. Here we make recommendations for researchers who plan to conduct or who are conducting ERP studies in children between ages 2 and 12, focusing on studies of toddlers and preschoolers. Recommendations are based on both data and our cumulative experience and include guidelines for laboratory setup, equipment and recording settings, task design, and data processing.

Entities:  

Year:  2019        PMID: 34024985      PMCID: PMC8136588          DOI: 10.1027/0269-8803/a000243

Source DB:  PubMed          Journal:  J Psychophysiol        ISSN: 0269-8803            Impact factor:   1.333


  7 in total

1.  Peak selection and latency jitter correction in developmental event-related potentials.

Authors:  Maggie W Guy; Stefania Conte; Aslı Bursalıoğlu; John E Richards
Journal:  Dev Psychobiol       Date:  2021-11       Impact factor: 3.038

2.  Profiles of Naturalistic Attentional Trajectories Associated with Internalizing Behaviors in School-Age Children: A Mobile Eye Tracking Study.

Authors:  Kelley E Gunther; Xiaoxue Fu; Leigha MacNeill; Alicia Vallorani; Briana Ermanni; Koraly Pérez-Edgar
Journal:  Res Child Adolesc Psychopathol       Date:  2021-10-25

3.  A single-session behavioral protocol for successful event-related potential recording in children with neurodevelopmental disorders.

Authors:  Maggie W Guy; Conner J Black; Abigail L Hogan; Ramsey E Coyle; John E Richards; Jane E Roberts
Journal:  Dev Psychobiol       Date:  2021-11       Impact factor: 2.531

Review 4.  Adapting event-related potential research paradigms for children: Considerations from research on the development of recognition memory.

Authors:  Leslie Rollins; Tracy Riggins
Journal:  Dev Psychobiol       Date:  2021-08-01       Impact factor: 2.531

5.  Reliability of an automated gaze-controlled paradigm for capturing neural responses during visual and face processing in toddlerhood.

Authors:  Rianne Haartsen; Luke Mason; Eleanor K Braithwaite; Teresa Del Bianco; Mark H Johnson; Emily J H Jones
Journal:  Dev Psychobiol       Date:  2021-11       Impact factor: 2.531

6.  Electroencephalography complexity in resting and task states in adults with attention-deficit/hyperactivity disorder.

Authors:  Chao Gu; Zhong-Xu Liu; Steven Woltering
Journal:  Brain Commun       Date:  2022-03-07

7.  The multiple indicator multiple cause model for cognitive neuroscience: An analytic tool which emphasizes the behavior in brain-behavior relationships.

Authors:  Adon F G Rosen; Emma Auger; Nicholas Woodruff; Alice Mado Proverbio; Hairong Song; Lauren E Ethridge; David Bard
Journal:  Front Psychol       Date:  2022-08-04
  7 in total

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