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

Magnetic resonance imaging interpretation of temporomandibular joint disc position in mandibular condylar fractures: A fossa-based reference approach.

Journal of cranio-maxillo-facial surgery : official publication of the European Association for Cranio-Maxillo-Facial Surgery·2026
Same author

Factors influencing adolescents' participation in school recess activities in urban and rural schools: A qualitative study.

Journal of exercise science and fitness·2026
Same author

Synaptic and Circuit Mechanisms Shaping Neurodevelopmental and Psychiatric Outcomes Associated with 16p11.2 Copy Number Variation.

Genes·2026
Same author

Infill Pattern-Dependent Mechanical Properties and In Vitro Release Behavior of FDM 3D-Printed Resveratrol Amorphous Solid Dispersion Matrix Tablets.

Polymers·2026
Same author

Efficacy and safety of immune checkpoint inhibitors combined with tyrosine kinase inhibitors in patients with metastatic renal cell carcinoma: a risk-stratified systematic review and meta-analysis.

Frontiers in immunology·2026
Same author

Study on Regional Evolution Characteristics of Coal Spontaneous Combustion and Gas Coupling Disaster in Composite Goaf with No-Pillar Mining.

ACS omega·2026

Related Experiment Video

Updated: Sep 21, 2025

Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography
06:40

Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography

Published on: June 15, 2018

10.3K

+microstate: A MATLAB toolbox for brain microstate analysis in sensor and cortical EEG/MEG.

Luke Tait1, Jiaxiang Zhang2

  • 1Centre for Systems Modelling and Quantitative Biomedicine, University of Birmingham, Birmingham, United Kingdom; Cardiff University Brain Research Imaging Centre, Cardiff University, Cardiff, UK.

Neuroimage
|June 6, 2022
PubMed
Summary

The +microstate MATLAB toolbox enhances brain functional microstate analysis with source-space algorithms and advanced statistical methods for electroencephalography (EEG) data.

Keywords:
ElectroencephalographyFunctional Connectivity DynamicsMagnetoencephalographyMicrostate AnalysisToolbox

More Related Videos

Cortical Source Analysis of High-Density EEG Recordings in Children
09:32

Cortical Source Analysis of High-Density EEG Recordings in Children

Published on: June 30, 2014

21.5K
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

Related Experiment Videos

Last Updated: Sep 21, 2025

Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography
06:40

Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography

Published on: June 15, 2018

10.3K
Cortical Source Analysis of High-Density EEG Recordings in Children
09:32

Cortical Source Analysis of High-Density EEG Recordings in Children

Published on: June 30, 2014

21.5K
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

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Signal Processing

Background:

  • Brain functional microstate analysis is crucial for understanding neural dynamics.
  • Existing toolboxes often lack source-space analysis capabilities and advanced statistical methods.

Purpose of the Study:

  • Introduce the +microstate MATLAB toolbox for comprehensive brain functional microstate analysis.
  • Incorporate source-space analysis and novel statistical approaches for electroencephalography (EEG) and magnetoencephalography (MEG) data.

Main Methods:

  • Developed a MATLAB toolbox (+microstate) with algorithms for individual- and group-level microstate analysis.
  • Included functions for simulating microstate data and advanced statistical analyses (e.g., functional connectivity, topographic ANOVAs).
  • Ensured integration with popular M/EEG toolboxes (Fieldtrip, SPM, EEGLAB) and brain-state estimation methods (HMM-MAR, FastICA).

Main Results:

  • The +microstate toolbox provides a unified environment for microstate analysis, including source-space approaches.
  • Demonstrated the toolbox's utility through example analyses on open-access datasets.
  • Included MATLAB live scripts for tutorial purposes and result reproduction.

Conclusions:

  • +microstate offers a versatile and accessible platform for advanced brain functional microstate analysis.
  • The toolbox facilitates the integration of microstate research with existing M/EEG analysis pipelines.
  • It supports novel statistical investigations and methodological validation through data simulation.