Estimation of instantaneous power in the EEG to assess brain connectivity with high temporal resolution.
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.
Kwon
JungPhil
J
University of Florida, Gainesville, FL 32611, USA. philla79@ufl.edu
Seth
Sohan
S
Keil
Andreas
A
Principe
Jose C
JC
D000465:Algorithms; D001921:Brain / Q000502:physiology*; D001931:Brain Mapping / Q000379:methods*; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D004569:Electroencephalography / Q000379:methods*; D006801:Humans; D009415:Nerve Net / Q000502:physiology*; D009434:Neural Pathways / Q000502:physiology*