Title :
Multimodal Functional Neuroimaging: Integrating Functional MRI and EEG/MEG
Author :
He, Bin ; Liu, Zhongming
Author_Institution :
Dept. of Biomed. Eng., Univ. of Minnesota, Minneapolis, MN
fDate :
6/30/1905 12:00:00 AM
Abstract :
Noninvasive functional neuroimaging, as an important tool for basic neuroscience research and clinical diagnosis, continues to face the need of improving the spatial and temporal resolution. While existing neuroimaging modalities might approach their limits in imaging capability mostly due to fundamental as well as technical reasons, it becomes increasingly attractive to integrate multiple complementary modalities in an attempt to significantly enhance the spatiotemporal resolution that cannot be achieved by any modality individually. Electrophysiological and hemodynamic/metabolic signals reflect distinct but closely coupled aspects of the underlying neural activity. Combining fMRI and EEG/MEG data allows us to study brain function from different perspectives. In this review, we start with an overview of the physiological origins of EEG/MEG and fMRI, as well as their fundamental biophysics and imaging principles, we proceed with a review of the major advances in the understanding and modeling of neurovascular coupling and in the methodologies for the fMRI-EEG/MEG simultaneous recording. Finally, we summarize important remaining issues and perspectives concerning multimodal functional neuroimaging, including brain connectivity imaging.
Keywords :
biomedical MRI; electroencephalography; haemodynamics; medical image processing; neurophysiology; patient diagnosis; EEG; MEG; brain connectivity imaging; brain function; clinical diagnosis; electrophysiological signals; functional MRI; hemodynamic signals; metabolic signals; multimodal functional neuroimaging; neuroscience research; noninvasive functional neuroimaging; spatiotemporal resolution; Clinical diagnosis; Electroencephalography; Electrophysiology; Image resolution; Magnetic resonance imaging; Neuroimaging; Neuroscience; Signal resolution; Spatial resolution; Spatiotemporal phenomena; EEG; MEG; fMRI; human brain mapping; multimodal neuroimaging; neurovascular coupling; Animals; Brain; Brain Mapping; Electroencephalography; Humans; Image Processing, Computer-Assisted; Magnetic Resonance Imaging;
Journal_Title :
Biomedical Engineering, IEEE Reviews in
DOI :
10.1109/RBME.2008.2008233