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BP: Fachverband Biologische Physik
BP 17: Poster II
BP 17.45: Poster
Wednesday, March 25, 2009, 17:15–19:45, P3
Extraction of deep sources from human EEG — •Philipp Stern1, Andreas Galka2, and Jens Christian Claussen3,1 — 1Theor. Phys. & Astrophys., CAU Kiel — 2Klinik f. Neurologie, Univ.-Klinikum S.-H. — 3Neuro- und Bioinformatik, U zu Lübeck
Noninvasive brain imaging methods do not allow for a time resolution comparable with EEG or invasive measurements.
As many dynamical collective phenomena in the brain are observed in the 0.5-50Hz frequency range, noninvasive methods based on EEG measurements are the standard for clinical and behavioral studies as anaesthesia monitoring, sleep research, and diagnostics of neural disorders as tremor and epilepsy.
In this study [1] we employ the Kalman filter method for
the inverse problem of EEG measurement [2] to extract time series from localized deep brain regions as the thalamus.
We discuss the abilities and limitations of the approach.
[1] Philipp Stern, Diploma thesis, CAU Kiel (2008)
[2] Andreas Galka, Okito Yamashita, Tohru Ozaki, Rolando Biscay, Pedro Valdes-Sosa, NeuroImage 23, 435 (2004)