Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

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

Impacted and preserved sub-domains of cognitive control in schizophrenia.

Neuropsychologia·2026

Same author

Evaluating the effects of regularization and cross-validation parameters on the performance of SVM-based decoding of EEG data.

Cortex; a journal devoted to the study of the nervous system and behavior·2026

Same author

A population vector model of visual working memory for real-world scenes.

Journal of experimental psychology. General·2026

Same author

Prior Trial Effects on Working Memory in Schizophrenia, Bipolar Disorder, and Healthy Control Individuals.

JAMA psychiatry·2026

Same author

Increased Reporting of Speech in Degraded Stimuli in Schizophrenia: A Case Control Study with Sine-Wave-Speech.

Schizophrenia bulletin·2026

Same author

Evaluating the effects of regularization and cross-validation parameters on the performance of SVM-based decoding of EEG data.

bioRxiv : the preprint server for biology·2026

Same journal

Genetic Impacts on Variability of Body Fat Distribution Uncover Gene-Environment and Gene-Gene Interactions.

bioRxiv : the preprint server for biology·2026

Same journal

16S ribosomal RNA modification drives transcript-specific translation efficiency.

bioRxiv : the preprint server for biology·2026

Same journal

FlcE latches onto the FliL-stator complex to turbocharge flagellar motility in <i>Borrelia burgdorferi</i>.

bioRxiv : the preprint server for biology·2026

Same journal

Synaptic pruning, myelination and the emergence of psychiatric disorders in late adolescence.

bioRxiv : the preprint server for biology·2026

Same journal

Structural and functional insights into the Rcs phosphorelay.

bioRxiv : the preprint server for biology·2026

Same journal

The structural basis of RanGAP1 regulation and catalysis in nuclear transport.

bioRxiv : the preprint server for biology·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jul 10, 2025

Cross-Modal Multivariate Pattern Analysis

Cross-Modal Multivariate Pattern Analysis

Published on: November 9, 2011

Using Multivariate Pattern Analysis to Increase Effect Sizes for Event-Related Potential Analyses.

Carlos Daniel Carrasco¹, Brett Bahle¹, Aaron Matthew Simmons¹

¹Center for Mind & Brain, University of California, Davis.

Biorxiv : the Preprint Server for Biology

|November 21, 2023

Summary

This summary is machine-generated.

Multivariate pattern analysis of event-related potential (ERP) signals can enhance effect sizes. This method offers greater statistical power for analyzing topographic voltage patterns compared to traditional univariate analyses in ERP research.

Keywords:

Classification Cross-Validated Mahalanobis Distance Decoding EEG ERPs Support Vector Machine

More Related Videos

How to Find Effects of Stimulus Processing on Event Related Brain Potentials of Close Others when Hyperscanning Partners

How to Find Effects of Stimulus Processing on Event Related Brain Potentials of Close Others when Hyperscanning Partners

Published on: May 31, 2018

Basics of Multivariate Analysis in Neuroimaging Data

Basics of Multivariate Analysis in Neuroimaging Data

Published on: July 24, 2010

Related Experiment Videos

Last Updated: Jul 10, 2025

Cross-Modal Multivariate Pattern Analysis

Cross-Modal Multivariate Pattern Analysis

Published on: November 9, 2011

How to Find Effects of Stimulus Processing on Event Related Brain Potentials of Close Others when Hyperscanning Partners

How to Find Effects of Stimulus Processing on Event Related Brain Potentials of Close Others when Hyperscanning Partners

Published on: May 31, 2018

Basics of Multivariate Analysis in Neuroimaging Data

Basics of Multivariate Analysis in Neuroimaging Data

Published on: July 24, 2010

Area of Science:

Cognitive Neuroscience
Psychophysiology
Computational Neuroscience

Background:

Event-related potentials (ERPs) are crucial for understanding cognitive processes.
Traditional univariate analyses of ERPs may limit statistical power and effect size detection.
Multivariate pattern analysis (MPA) offers a sensitive approach to analyze complex neural data.

Approach:

Leveraged the open-source ERP CORE dataset for robust analysis.
Compared univariate analyses with two MPA methods: support vector machine (SVM) decoding and cross-validated Mahalanobis distance.
Evaluated seven key ERP components: N170, N400, N2pc, P3b, lateral readiness potential, error-related negativity (ERN), and mismatch negativity (MMN).

Key Points:

MPA approaches demonstrated comparable or larger effect sizes than traditional univariate methods across all tested ERP components.
SVM decoding and cross-validated Mahalanobis distance are computationally accessible using open-source software.
MPA effectively decodes subtle differences in stimulus classes based on topographic ERP distributions.

Conclusions:

Multivariate analysis of topographic voltage patterns can significantly increase effect sizes in ERP studies.
Adopting MPA methods can lead to enhanced statistical power, improving the detection of neural effects.
Researchers are encouraged to consider MPA as a powerful alternative to conventional univariate analyses for ERP data.