BOLD correlates of continuously fluctuating epileptic activity isolated by independent component analysis

Discovering frequency sensitive thalamic nuclei from EEG microstate informed resting state fMRI

“…EEG preprocessing used BrainVision Analyzer (version 1.05.0005, Brain Products, Germany) and included scan pulse artifact correction by average artifact subtraction (AAS) (Allen et al 1998) and cardioballistic artifact correction (CBA) by independent component analysis (ICA) (Jann et al 2009(Jann et al 2008. EEG time courses were downsampled to 100 Hz and bandpass filtered (1-30 Hz).…”

Continuous EEG source imaging enhances analysis of EEG-fMRI in focal epilepsy

“…probably benefit the IED-based model. In terms of the range of strategies available for the analysis of simultaneously acquired EEG-fMRI data in patients with epilepsy, our study can be positioned between visual IED-based GLM and data-driven approaches such as ICA of the EEG (Jann, et al 2008;Marques, et al 2009) or fMRI (Rodionov, et al 2007). While the ICA approaches are potentially superior for identifying artefacts in the EEG signal, the selection of an "epileptic independent component" remains subjective and hence components containing more subtle activity may not be recognised.…”

Modulation by EEG features of BOLD responses to interictal epileptiform discharges

“…ICA does not impose any constraints on the HRF; rather, an analysis of the component time courses may yield information about the BOLD response that had not been initially hypothesized. In the context of EEG-fMRI acquisitions of epilepsy patients, ICA could also be used to decompose the EEG data prior to the fMRI analysis (Mirsattari et al, 2006;Jann et al, 2008;Marques et al, 2009), but the current study will focus on the use of ICA directly on the fMRI data.…”