EEG-fMRI reciprocal functional neuroimaging

EEG-fMRI reciprocal functional neuroimaging.

OBJECTIVE Integration of electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) has been pursued in an effort to achieve greater spatio-temporal resolution of imaging dynamic brain activity. We report a data-driven approach to image spatio-temporal features of neural oscillatory activity and event-related activity from continuously recorded EEG and fMRI signals. METHODS...

Perfusion fMRI for functional neuroimaging.

Multimodal Neuroimaging Technique Considering Mismatches between fMRI and EEG

mechanisms underlying sensory and cognitive processing in the brain. Kilner et al 2005 proposed a heuristic for haemodynamic correlates of EEG, simply stating that the observed activation in blood oxygen level dependant (BOLD) fMRI is a result of an acceleration of temporal dynamics leading to increased energy dissipation. Which could also mean decreased effective membrane time constants and in...

A Review on EEG - fMRI Data Fusion: Multimodal Neuroimaging Approach

In the last few years, the functional brain imaging community has witnessed numerous efforts (and perhaps even more discussion) directed at multimodality data fusion: combining high-quality localization information provided by the hemodynamic-based brain imaging methods like fMRI with highquality temporal data generated by the electromagnetic-based techniques such as EEG .

fMRI functional networks for EEG source imaging.

The brain exhibits temporally coherent networks (TCNs) involving numerous cortical and sub-cortical regions both during the rest state and during the performance of cognitive tasks. TCNs represent the interactions between different brain areas, and understanding such networks may facilitate electroencephalography (EEG) source estimation. We propose a new method for examining TCNs using scalp EE...