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Combining independent component analysis and Granger causality to investigate brain network dynamics with fNIRS measurements
In this study a new strategy that combines Granger causality mapping (GCM) and independent component analysis (ICA) is proposed to reveal complex neural network dynamics underlying cognitive processes using functional near infrared spectroscopy (fNIRS) measurements. The GCM-ICA algorithm implements...
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| Главный автор: | |
|---|---|
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Optical Society of America
2013
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3829556/ https://ncbi.nlm.nih.gov/pubmed/24298421 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1364/BOE.4.002629 |
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