Abstract:
:Simultaneous electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) provide complementary noninvasive information of brain activity, and EEG/fMRI fusion can achieve higher spatiotemporal resolution than each modality separately. This focuses on independent component analysis (ICA)-based EEG/fMRI fusion. In order to appreciate the issues, we first describe the potential and limitations of the developed fusion approaches: fMRI-constrained EEG imaging, EEG-informed fMRI analysis, and symmetric fusion. We then outline some newly developed hybrid fusion techniques using ICA and the combination of data-/model-driven methods, with special mention of the spatiotemporal EEG/fMRI fusion (STEFF). Finally, we discuss the current trend in methodological development and the existing limitations for extrapolating neural dynamics.
journal_name
J Integr Neuroscijournal_title
Journal of integrative neuroscienceauthors
Lei X,Valdes-Sosa PA,Yao Ddoi
10.1142/S0219635212500203subject
Has Abstractpub_date
2012-09-01 00:00:00pages
313-37issue
3eissn
0219-6352journal_volume
11pub_type
杂志文章