Title :
Estimation of instantaneous power in the EEG to assess brain connectivity with high temporal resolution
Author :
Kwon, JungPhil ; Seth, Sohan ; Keil, Andreas ; Principe, Jose C.
Author_Institution :
Electr. & Comput. Eng., Univ. of Florida, Gainesville, FL, USA
Abstract :
This paper presents advanced signal processing algorithms to quantify brain connectivity with high temporal resolution using the electroencephalogram (EEG). The experimental paradigm exploits the visual cortex response to flickering images at a given frequency. The envelope of the EEG at the flickering frequency collected by 128 electrodes over the head quantifies the communication amongst the brain areas with high temporal resolution. This work proposes to use the empirical mode decomposition to find the flickering frequency and then use the Hilbert transform to estimate the instantaneous amplitude. A video of the topographical display of the instantaneous power over the array helps us visualize the exquisite communication that occurs during the stimulus presentation.
Keywords :
Hilbert transforms; cognition; electroencephalography; medical signal processing; neurophysiology; signal resolution; visual evoked potentials; Hilbert transform; brain connectivity; electroencephalogram; empirical mode decomposition; flickering images; instantaneous power estimation; signal processing algorithm; stimulus presentation; temporal resolution; topographical display; visual cortex response; Algorithms; Brain; Brain Mapping; Diagnosis, Computer-Assisted; Electroencephalography; Humans; Nerve Net; Neural Pathways;
Conference_Titel :
Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
Conference_Location :
Minneapolis, MN
Print_ISBN :
978-1-4244-3296-7
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2009.5333720