Abstract
The accuracy of the inverse solution that finds the spatial location of the generating sources from averaged scalp-recorded event related potentials (ERPs) relies on assumptions about the ERP signals and the sources. We provide evidence that using independent component analysis (ICA) as a signal decomposition filter prior to applying the inverse solution reveals sources that cannot be detected by conventional source localisation methods. Five clusters of sources emerged: a single source cluster in caudal cingulate and bilateral sources in secondary somatosensory cortex (SIT), inferior parietal cortex, premotor cortex and insular cortex. The locations of the source dipoles were consistent with findings using fMRI and PET but have not all been previously detected in a single electrophysiological study. In addition, the time-course of the activation of these dipoles was estimated. The results suggest that using ICA to localise single trial data is a powerful tool for exploring the spatio-temporal dynamics of rapid and complex brain processes.
Original language | English |
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Title of host publication | Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings|Annu Int Conf IEEE Eng Med Biol Proc |
Pages | 403-406 |
Number of pages | 3 |
Volume | 26 |
Publication status | Published - 2004 |
Event | Conference Proceedings - 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2004 - San Francisco, CA Duration: 1 Jul 2004 → … |
Conference
Conference | Conference Proceedings - 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2004 |
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City | San Francisco, CA |
Period | 1/07/04 → … |
Keywords
- Brain source localization
- Event related potentials
- Independent component analysis
- Inverse solution
- Laser evoked pain potentials