- Brain activity can be measured using different modalities. Since most of the modalities tend to complement each other, it seems promising to measure them simultaneously. In to be presented research, the data recorded from Functional Magnetic Resonance Imaging (fMRI) and Near Infrared Spectroscopy (NIRS), simultaneously, are subjected to causality analysis using time-resolved partial directed coherence (tPDC). Time-resolved partial directed coherence uses the principle of state space modelling to estimate Multivariate Autoregressive (MVAR) coefficients. This method is useful to visualize both frequency and time dynamics of causality between the time series. Afterwards, causality results from different modalities are compared by estimating the Spearman correlation. In to be presented study, we used directionality vectors to analyze correlation, rather than actual signal vectors. Results show that causality analysis of the fMRI correlates more closely to causality results of oxy-NIRS asBrain activity can be measured using different modalities. Since most of the modalities tend to complement each other, it seems promising to measure them simultaneously. In to be presented research, the data recorded from Functional Magnetic Resonance Imaging (fMRI) and Near Infrared Spectroscopy (NIRS), simultaneously, are subjected to causality analysis using time-resolved partial directed coherence (tPDC). Time-resolved partial directed coherence uses the principle of state space modelling to estimate Multivariate Autoregressive (MVAR) coefficients. This method is useful to visualize both frequency and time dynamics of causality between the time series. Afterwards, causality results from different modalities are compared by estimating the Spearman correlation. In to be presented study, we used directionality vectors to analyze correlation, rather than actual signal vectors. Results show that causality analysis of the fMRI correlates more closely to causality results of oxy-NIRS as compared to deoxy-NIRS in case of a finger sequencing task. However, in case of simple finger tapping, no clear difference between oxy-fMRI and deoxy-fMRI correlation is identified.…
MetadatenAuthor: | Abdul Rauf Anwar, Makii Muthalib, Stephane Perrey, Andreas Galka, Oliver Granert, Stephan Wolff, Günther Deuschl, Jan Raethjen, Ulrich Heute, Muthuraman MuthuramanORCiDGND |
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URN: | urn:nbn:de:bvb:384-opus4-1103362 |
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Frontdoor URL | https://opus.bibliothek.uni-augsburg.de/opus4/110336 |
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ISBN: | 978-1-4577-0216-7OPAC |
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Parent Title (English): | 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 3-7 July 2013, Osaka, Japan |
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Publisher: | IEEE |
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Place of publication: | Piscataway, NJ |
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Editor: | Yoshitaka Hirooka, Tomomi Ide, Takuya Kishi, Masaru Sugimachi |
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Type: | Conference Proceeding |
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Language: | English |
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Year of first Publication: | 2013 |
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Publishing Institution: | Universität Augsburg |
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Release Date: | 2023/12/21 |
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First Page: | 2628 |
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Last Page: | 2631 |
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DOI: | https://doi.org/10.1109/embc.2013.6610079 |
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Institutes: | Fakultät für Angewandte Informatik |
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| Fakultät für Angewandte Informatik / Institut für Informatik |
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| Fakultät für Angewandte Informatik / Institut für Informatik / Professur für Informatik in der Medizintechnik |
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Dewey Decimal Classification: | 0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik |
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Licence (German): | Deutsches Urheberrecht |
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