Publication: Personode: A Toolbox for ICA Map Classification and Individualized ROI Definition
Personode: A Toolbox for ICA Map Classification and Individualized ROI Definition
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Pamplona, G. S. P., Vieira, B. H., Scharnowski, F., & Salmon, C. E. G. (2020). Personode: A Toolbox for ICA Map Classification and Individualized ROI Definition. Neuroinformatics, 18, 339–349. https://doi.org/10.1007/s12021-019-09449-4
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Canonical resting state networks (RSNs) can be obtained through independent component analysis (ICA). RSNs are reproducible across subjects but also present inter-individual differences, which can be used to individualize regions-of-interest (ROI) definition, thus making fMRI analyses more accurate. Unfortunately, no automatic tool for defining subject-specific ROIs exists, making the classification of ICAs as representatives of RSN time-consuming and largely dependent on visual inspection. Here, we present Personode, a user-friendly
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- Pamplona, Gustavo S P
- Vieira, Bruno H
- Salmon, Carlos E G
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Pamplona, G. S. P., Vieira, B. H., Scharnowski, F., & Salmon, C. E. G. (2020). Personode: A Toolbox for ICA Map Classification and Individualized ROI Definition. Neuroinformatics, 18, 339–349. https://doi.org/10.1007/s12021-019-09449-4