Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Understanding how movement signals shape early social coordination and learning.

Acta psychologica·2026
Same author

Guiding Curiosity: How Learning Progress Shapes Young Children's Exploration of New Toys.

Developmental science·2026
Same author

Infant Vocal Behavior During Contingent Vocal Imitation and Its Interruption as a Window Into the Emerging Sense of Agency.

Infancy : the official journal of the International Society on Infant Studies·2026
Same author

The Impact of Brain Tumors and Craniotomy Lesions on Scalp EEG.

Brain topography·2026
Same author

Eye-Tracking-BIDS: the Brain Imaging Data Structure extended to gaze position and pupil data.

bioRxiv : the preprint server for biology·2026
Same author

Facilitating unusual bodily experiences and out-of-body experiences across wakefulness and sleep: A high-density EEG and neurophenomenology study.

Consciousness and cognition·2026

Related Experiment Video

Updated: Oct 12, 2025

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example
08:45

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example

Published on: October 24, 2012

14.8K

Enhancing reproducibility in developmental EEG research: BIDS, cluster-based permutation tests, and effect sizes.

Marlene Meyer1, Didi Lamers2, Ezgi Kayhan3

  • 1Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, NL, USA; Department of Psychology, University of Chicago, Chicago, IL, USA.

Developmental Cognitive Neuroscience
|November 21, 2021
PubMed
Summary

This study introduces methods to improve reproducibility in developmental electroencephalography (EEG) research. It details data organization using Brain Imaging Data Structure (BIDS) and analysis with cluster-based permutation testing for robust findings.

Keywords:
BIDSEEGcluster-based permutation testeffect sizereproducibility

More Related Videos

Meta-analysis of Voxel-Based Neuroimaging Studies using Seed-based d Mapping with Permutation of Subject Images SDM-PSI
06:26

Meta-analysis of Voxel-Based Neuroimaging Studies using Seed-based d Mapping with Permutation of Subject Images SDM-PSI

Published on: November 27, 2019

74.0K
Event Related Potentials ERPs and other EEG Based Methods for Extracting Biomarkers of Brain Dysfunction: Examples from Pediatric Attention Deficit/Hyperactivity Disorder ADHD
10:02

Event Related Potentials ERPs and other EEG Based Methods for Extracting Biomarkers of Brain Dysfunction: Examples from Pediatric Attention Deficit/Hyperactivity Disorder ADHD

Published on: March 12, 2020

16.0K

Related Experiment Videos

Last Updated: Oct 12, 2025

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example
08:45

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example

Published on: October 24, 2012

14.8K
Meta-analysis of Voxel-Based Neuroimaging Studies using Seed-based d Mapping with Permutation of Subject Images SDM-PSI
06:26

Meta-analysis of Voxel-Based Neuroimaging Studies using Seed-based d Mapping with Permutation of Subject Images SDM-PSI

Published on: November 27, 2019

74.0K
Event Related Potentials ERPs and other EEG Based Methods for Extracting Biomarkers of Brain Dysfunction: Examples from Pediatric Attention Deficit/Hyperactivity Disorder ADHD
10:02

Event Related Potentials ERPs and other EEG Based Methods for Extracting Biomarkers of Brain Dysfunction: Examples from Pediatric Attention Deficit/Hyperactivity Disorder ADHD

Published on: March 12, 2020

16.0K

Area of Science:

  • Neuroscience
  • Developmental Psychology
  • Biomedical Engineering

Background:

  • Developmental research using electroencephalography (EEG) provides crucial insights into early brain development.
  • Practical challenges arise from applying EEG to young children due to compliance and attention span limitations.
  • Optimizing resource use is vital for reproducible and replicable developmental EEG studies.

Purpose of the Study:

  • To present methodological approaches for maximizing reproducibility in developmental EEG research.
  • To guide researchers in organizing data and performing robust statistical analyses.
  • To enhance the impact and inform future research through effect size quantification.

Main Methods:

  • Data standardization using the Brain Imaging Data Structure (BIDS) to adhere to FAIR data principles.
  • Application of cluster-based permutation testing for analyzing developmental EEG data and addressing multiple comparisons.
  • Quantification of effect sizes, particularly for cluster-based permutation results.

Main Results:

  • Demonstration of a reproducible workflow for developmental EEG data organization and analysis.
  • Successful application of cluster-based permutation testing to mitigate false discovery risks.
  • Illustrative use of a public infant EEG dataset with accompanying analysis code.

Conclusions:

  • Standardized data organization (BIDS) and robust statistical methods (cluster-based permutation testing) enhance reproducibility in developmental EEG.
  • Reporting effect sizes alongside statistical significance increases the interpretability and impact of findings.
  • The provided methods and code facilitate more reliable and transparent developmental neuroscience research.