title: EEG-fMRI integration: a critical review of biophysical modeling and data analysis approaches.
abstract: The diverse nature of cerebral activity, as measured using neuroimaging techniques, has been recognised long ago. It seems obvious that using single modality recordings can be limited when it comes to capturing its complex nature. Thus, it has been argued that moving to a multimodal approach will allow neuroscientists to better understand the dynamics and structure of this activity. This means that integrating information from different techniques, such as electroencephalography (EEG) and the blood oxygenated level dependent (BOLD) signal recorded with functional magnetic resonance imaging (fMRI), represents an important methodological challenge. In this work, we review the work that has been done thus far to derive EEG/fMRI integration approaches. This leads us to inspect the conditions under which such an integration approach could work or fail, and to disclose the types of scientific questions one could (and could not) hope to answer with it.
authors.affiliation: Wellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, United Kingdom.
authors.forename: M J
authors.initials: MJ
authors.lastname: Rosa
authors.forename: J
authors.initials: J
authors.lastname: Daunizeau
authors.forename: K J
authors.initials: KJ
authors.lastname: Friston
mesh_terms: D001921:Brain / Q000033:anatomy & histology / Q000502:physiology*; D001931:Brain Mapping / Q000379:methods*; D003198:Computer Simulation / Q000592:standards*; D004569:Electroencephalography / Q000379:methods*; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*