Multimodal fusion in neuroimaging combines data from multiple imaging modalities to
overcome the fundamental limitations of individual modalities. Neuroimaging fusion can …

The simultaneous acquisition of electroencephalography (EEG) with functional magnetic
resonance imaging (fMRI) is a very promising non-invasive technique for the study of human …

Reference electrode standardization technique (REST) has been increasingly
acknowledged and applied as a re-reference technique to transform an actual multi …

EEG-microstates exploit spatio-temporal EEG features to characterize the spontaneous EEG
as a sequence of a finite number of quasi-stable scalp potential field maps. So far, EEG …

Since its inception over twenty years ago, the field of functional magnetic resonance imaging
(fMRI) has grown in usage, sophistication, range of applications, and impact. After twenty …

Multimodal neuroimaging has become a mainstay of basic and cognitive neuroscience in
humans and animals, despite challenges to consider when acquiring and combining non …

Electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) are
important tools in cognitive and clinical neuroscience. Combined EEG–fMRI has been …

Background and objective Multimodal data analysis and large-scale computational
capability is entering medicine in an accelerative fashion and has begun to influence …

The scientific study of human consciousness has greatly benefited from the development of
non-invasive brain imaging methods. The quest to identify the neural correlates of …

Electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) have
proved to be extremely valuable tools for the non-invasive study of human brain function …