Mapping functional brain activity related to Epilepsy
by Kaushik Bhaganagarapu
Abstract: Functional MRI (fMRI) and scalp electroencephalogram (EEG) are non-invasive tools to investigate brain activity. At the Brain Research Institute, a simultaneous EEG-fMRI acquisition method has been implemented to better spatially and temporally locate epileptic activity in the brain. I will be discussing:
(a) Standard analysis methods for simultaneous EEG-fMRI (e.g. correlation measures)
(b) Data driven approaches, such as Independent Components Analysis (ICA), which involves decomposing the 4D data (3 spatial dimensions and time) into spatially independent components.
(c) the use of constraints in ICA (cICA), such as available EEG information.
(d) and other techniques which could efficiently deconvolve the 4D fMRI data into components of noise and signal.
Such techniques ultimately aim to assist us to better identify epileptic activity by optimally separating noise from signal of interest (in this plausible biological activity).
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