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

Breast milk cytokines and infant growth trajectories in a low-income community in Bangladesh.

Pediatric research·2026
Same author

A longitudinal investigation of aggression and social skills in autistic youth.

Research in autism·2026
Same author

Trajectories of Physical Growth across Early Childhood Are Associated with Electroencephalography Power.

The Journal of nutrition·2026
Same author

Prenatal Substance Exposure and Birth Weight: Findings From the HEALthy Brain and Child Development Study.

Pediatrics·2026
Same author

Long-term cardiometabolic effects of early institutionalization and foster care: Evidence from the Bucharest Early Intervention Project.

Development and psychopathology·2026
Same author

Neurophysiological sensitivity in early childhood: EEG aperiodic slope moderates the association between maternal anxiety and child internalizing symptoms.

Development and psychopathology·2026
Same journal

Untangling relationships between cognitive development and child and adolescent mental health: Findings from the ABCD Study.

Developmental cognitive neuroscience·2026
Same journal

Pubertal timing predicts resting-state functional connectivity of cortical networks.

Developmental cognitive neuroscience·2026
Same journal

Differential adolescent neurodevelopment of emotion processing across internalizing psychopathology and childhood adversity.

Developmental cognitive neuroscience·2026
Same journal

Developmental linearization of functional connectivity and its alteration in males with autism spectrum disorder.

Developmental cognitive neuroscience·2026
Same journal

Cognitive ability in childhood predicts adolescent structural and functional brain development: A longitudinal study.

Developmental cognitive neuroscience·2026
Same journal

Latent representations of early brain development: A multivariate normative model of brain structure and behaviour.

Developmental cognitive neuroscience·2026
See all related articles

Related Experiment Video

Updated: Oct 1, 2025

Infant Auditory Processing and Event-related Brain Oscillations
06:34

Infant Auditory Processing and Event-related Brain Oscillations

Published on: July 1, 2015

16.6K

Time-resolved multivariate pattern analysis of infant EEG data: A practical tutorial.

Kira Ashton1, Benjamin D Zinszer2, Radoslaw M Cichy3

  • 1Department of Neuroscience, American University, Washington, DC 20016, USA; Center for Neuroscience and Behavior, American University, Washington, DC 20016, USA.

Developmental Cognitive Neuroscience
|March 6, 2022
PubMed
Summary
This summary is machine-generated.

This study presents code for time-resolved multivariate pattern analysis (MVPA) of infant electroencephalography (EEG) data. The method reliably decodes stimuli images in both infants and adults, advancing infant cognitive neuroscience research.

Keywords:
DecodingEEGInfantsMVPARepresentations

More Related Videos

A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants
11:14

A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants

Published on: October 4, 2015

11.1K
Computer-based Multitaper Spectrogram Program for Electroencephalographic Data
04:13

Computer-based Multitaper Spectrogram Program for Electroencephalographic Data

Published on: November 13, 2019

12.3K

Related Experiment Videos

Last Updated: Oct 1, 2025

Infant Auditory Processing and Event-related Brain Oscillations
06:34

Infant Auditory Processing and Event-related Brain Oscillations

Published on: July 1, 2015

16.6K
A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants
11:14

A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants

Published on: October 4, 2015

11.1K
Computer-based Multitaper Spectrogram Program for Electroencephalographic Data
04:13

Computer-based Multitaper Spectrogram Program for Electroencephalographic Data

Published on: November 13, 2019

12.3K

Area of Science:

  • Neuroscience
  • Cognitive Neuroscience
  • Developmental Neuroscience

Background:

  • Time-resolved multivariate pattern analysis (MVPA) is crucial for analyzing magneto- and electro-encephalography (M/EEG) data.
  • MVPA quantifies neural representations supporting stimulus discrimination over time.
  • Its application to infant electroencephalography (EEG) is a promising avenue for infant cognitive neuroscience.

Purpose of the Study:

  • To provide and describe code for implementing time-resolved, within-subject MVPA using infant EEG data.
  • To demonstrate an example implementation using linear Support Vector Machine (SVM) classification.
  • To explore extensions like representational similarity analysis and the impact of data inclusion thresholds.

Main Methods:

  • Development and description of code for time-resolved MVPA in Matlab and Python.
  • Application of linear SVM classification to infant and adult EEG data.
  • Implementation of geometric- and accuracy-based representational similarity analysis.

Main Results:

  • The implemented MVPA method achieved above-chance accuracy in classifying stimuli images for both infants and adults.
  • The study explored the effects of varying participant-level inclusion thresholds on MVPA findings, particularly relevant for infant datasets with less artifact-free data.
  • Extensions for representational similarity analysis were successfully implemented.

Conclusions:

  • Time-resolved MVPA is a viable and effective technique for analyzing infant EEG data.
  • The provided code facilitates the application of MVPA in infant cognitive neuroscience research.
  • Understanding the impact of data inclusion thresholds is important for robust findings in infant neuroimaging studies.