Journal article 769 views 469 downloads
+microstate: A MATLAB toolbox for brain microstate analysis in sensor and cortical EEG/MEG
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Jiaxiang Zhang
NeuroImage, Volume: 258, Start page: 119346
Swansea University Author:
Jiaxiang Zhang
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© 2022 The Authors. This is an open access article under the CC BY license
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DOI (Published version): 10.1016/j.neuroimage.2022.119346
Abstract
+microstate is a MATLAB toolbox for brain functional microstate analysis. It builds upon previous EEG microstate literature and toolboxes by including algorithms for source-space microstate analysis. +microstate includes codes for performing individual- and group-level brain microstate analysis in r...
| Published in: | NeuroImage |
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| ISSN: | 1053-8119 |
| Published: |
Elsevier BV
2022
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| Online Access: |
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa61201 |
| Abstract: |
+microstate is a MATLAB toolbox for brain functional microstate analysis. It builds upon previous EEG microstate literature and toolboxes by including algorithms for source-space microstate analysis. +microstate includes codes for performing individual- and group-level brain microstate analysis in resting-state and task-based data including event-related potentials/fields. Functions are included to visualise and perform statistical analysis of microstate sequences, including novel advanced statistical approaches such as statistical testing for associated functional connectivity patterns, cluster-permutation topographic ANOVAs, and 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. |
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| Keywords: |
Microstate Analysis; Electroencephalography; Magnetoencephalography; Functional Connectivity Dynamics; Toolbox |
| College: |
Faculty of Science and Engineering |
| Funders: |
This study was supported by European Research Council [grant number 716321]. |
| Start Page: |
119346 |