There is a growing body of evidence pointing toward large-scale networks underlying the
core phenomena in epilepsy, from seizure generation to cognitive dysfunction or response …

Resting-state functional magnetic resonance imaging (fMRI), a promising technique for
measuring brain activities during rest, has attracted much attention in the past few years. In …

We present a practical “how-to” guide to help determine whether single-subject fMRI
independent components (ICs) characterise structured noise or not. Manual identification of …

Various functional imaging tools have been used to detect epileptic activity in the neural
network underlying mesial temporal lobe epilepsy (mTLE). In the present fMRI study, a data …

In patients with medically refractory focal epilepsy who are candidates for epilepsy surgery,
concordant non-invasive neuroimaging data are useful to guide invasive …

Purpose: In patients with idiopathic generalized epilepsy (IGE), blood oxygen level
dependent (BOLD) EEG during functional MRI (EEG‐fMRI) has been successfully used to …

Machine learning and pattern recognition techniques are being increasingly employed in
functional magnetic resonance imaging (fMRI) data analysis. By taking into account the full …

The prevalence of epilepsy is about 1% and one-third of cases do not respond to medical
treatment. In an eligible subset of patients with drug-resistant epilepsy, surgical resection of …

In this personalized review, the history of EEG recorded simultaneously with functional MRI
(EEG–fMRI) is summarized. A brief overview is given of the hardware development followed …

Combining functional magnetic resonance imaging (fMRI) and electroencephalography
(EEG) enables a non-invasive investigation of the human brain function and evaluation of …