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The ultimate goal of the EEG-fMRI analysis in refractory focal epilepsy is the precise localization of the epileptogenic zone (EZ) to facilitate successful surgery. Many studies have shown that simultaneous GLM-based EEG-correlated fMRI analysis can identify fMRI voxels which covary with the timing of interictal spikes assessed on EEG. However, this type of analysis often does not reveal a single...
Despite longstanding interest in consciousness and epilepsy and the importance of deficits of consciousness in clinical epileptology, defining consciousness and establishing objective relationships between conscious states and epileptic seizures remains difficult. To illustrate recent advances in the understanding of epilepsy and consciousness, we will review recent findings in two epilepsy syndromes,...
In this study, we investigated the human brain functional network of patients with epilepsy by using the resting-state functional magnetic resonance imaging (fMRI) and complex network theory. Adjacency matrices of the networks of patient group and normal control group were constructed by the method of Pearson correlation coefficient. And then adopted a new cascading failure model with adjustable parameter...
Introduction: The ability to process multiple domains of the human face it is a well-developed capability in humans, contributing significantly to social interaction. The extraction of emotional content out of facial features is one such domain, which involves well-known brain structures, whose detailed contribution is nevertheless poorly characterized. Objectives: Our emphasis is on detection and...
EEG-fMRI is a recently emerging tool that can be used in the presurgical evaluation of focal epilepsy patients. Standard analysis techniques rely on the principle that fMRI can provide accurate localization of hemodynamic changes corresponding to events observed on EEG. However, its applicability is limited as EEG does not always provide sufficient and reliable information on the timing of the epileptic...
The hemodynamic response function (HRF) describes the dynamic process of the blood oxygen level dependent (BOLD) signal evoked by a very short stimulus of unit intensity. Understanding HRF is a key issue for exploring the underlying dynamics of nervous system activation. Some researches suggested that the shape of HRF varied with different brain regions and different subjects, even at different time...
The default mode network (DMN) has been previously identified as a set of brain regions activated during internally directed cognition. The objective of this study was to investigate patterns of brain activation during switching between a goal-directed task and a rest period obtained from clinical functional magnetic resonance imaging (fMRI) paradigms in complex partial seizures (CPS) and age-matched...
In this study, a novel application of Principal Component Analysis (PCA) is proposed to detect language activation map patterns. These activation patterns were obtained by processing functional Magnetic Resonance Imaging (fMRI) studies on both control and localization related epilepsy (LRE) patients as they performed an auditory word definition task. Most group statistical analyses of fMRI datasets...
This research presents a novel application of Lateralization Index (LI) in support of a decision making process for the classification of subjects based on their brain activation patterns using functional Magnetic Resonance Imaging (fMRI) datasets. The decision process considers the subject grouping based on additional spatial information provided by the LI behavior for each individual when calculated...
Asymmetry analysis of brain activation in functional magnetic resonance imaging (fMRI) experiments is commonly used to determine hemispheric specialization for cognitive function. Asymmetry is typically expressed in terms of differences in the number of suprathreshold voxels activated, normalized to total activation, within specific regions known to subserve the function of interest or over the entire...
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