A simultaneous EEG–fMRI study of painful electric stimulation

Simultaneous EEG-fMRI Analysis with Application to Detection of Seizure Signal Sources

“…The results have shown for the first time that for auditory stimuli, the amplitude of the hemodynamic response in the region of interest (ROI) follows the amplitude of the ERP changes, and BOLD signals from the source location of P300 have high correlation with the amplitude of the P300. In a more recent simultaneous EEG-fMRI study of painful electric stimulation (Christman et al, 2007), it has been shown that the BOLD changes in ROI were correlated with the dipole strength of the EEG source. The results revealed a close relationship of BOLD signal and possible underlying neural electrical activity in ROI.…”

“…The first aspect is referred to as direct data fusion, which is normally applied in EEG source localization. The geometrical information on the source activation region obtained from fMRI can be used as the constraint for localizing the EEG dipole sources (Ahlfors et al, 1999;Phillips et al, 2002;Babiloni et al, 2003;Christman et al, 2007), because there is no unique solution for the illposed inverse problem for EEG source localization in the absence of constraints. For example, in (Babiloni et al, 2003), the geometrical information from fMRI provided the realistic head model as a volume conductor medium to help reduce the EEG localisation solution space.…”

“…Although neural networks have been exploited to model the relationship between fMRI and EEG (Schilling et al, 2001;Babajani & Soltanian-Zadeh, 2006), it is still hard to be established in the neurophysiological and clinical fields, because theoretically the complexity between the hemadynamic changes and neural activities cannot be fully represented by a simple mathematical model (Horwitz & Poeppel, 2002). Practically, correlation measurement has been widely used in the existing studies for investigating the relationship between fMRI and EEG (Logothetis et al, 2001;Horovitz et al, 2002;Mathalon et al, 2003;Christman et al, 2007). Therefore, in this work, correlation is used to connect the time course of fMRI components and the corresponding EEG signals.…”

Role of Neuroimaging in Analgesic Drug Development

“…For example, one may utilize the temporal resolution of EEG and the spatial resolution of fMRI. These techniques have been combined to observe the responses to noxious electrical stimulation [62] and laser-evoked responses [63]. Such studies used to investigate chronic pain and the modulation by analgesics pain help elucidate the time course of pharmacologic actions.…”

SVM classification model in depression recognition based on mutation PSO parameter optimization

“…At present, many medical devices have been used in auxiliary diagnosis depression, such as EEG (electroencephalo-graph) and fMRI (Functional Magnetic Resonance Imaging) [3]. The EEG can acquire the signal data of the cerebral cortex.…”