Litcius/Paper detail

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

Luke Tait, Jiaxiang Zhang

2022NeuroImage47 citationsDOIOpen Access PDF

Abstract

analysis of microstate probabilities in response to stimuli. Additionally, codes for simulating microstate sequences and their associated M/EEG data are included in the toolbox, which can be used to generate artificial data with ground truth microstates and to validate the methodology. +microstate integrates with widely used toolboxes for M/EEG processing including Fieldtrip, SPM, LORETA/sLORETA, EEGLAB, and Brainstorm to aid with accessibility, and includes wrappers for pre-existing toolboxes for brain-state estimation such as Hidden Markov modelling (HMM-MAR) and independent component analysis (FastICA) to aid with direct comparison with these techniques. In this paper, we first introduce +microstate before subsequently performing example analyses using open access datasets to demonstrate and validate the methodology. MATLAB live scripts for each of these analyses are included in +microstate, to act as a tutorial and to aid with reproduction of the results presented in this manuscript.

Topics & Concepts

MinistateComputer scienceElectroencephalographyArtificial intelligencePattern recognition (psychology)Machine learningPsychologyNeuroscienceFunctional Brain Connectivity StudiesEEG and Brain-Computer InterfacesNeural dynamics and brain function