Work

Quantification of the benefit from integrating MEG and EEG data in minimum ℓ2-norm estimation

Year: 2008

Type: article

Source: NeuroImage

DOI: 10.1016/j.neuroimage.2008.05.064

Authors: A. Molins, S.M. Stufflebeam, E.N. Brown, M.S. Hämäläinen

Institutions: Massachusetts General Hospital, Harvard–MIT Division of Health Sciences and Technology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts Institute of Technology, Harvard University

Language: English

Topic: EEG and Brain-Computer Interfaces

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

Open Access status: closed

Funders: National Institutes of Health, National Institute of Mental Health, National Institute on Drug Abuse, National Institute of Biomedical Imaging and Bioengineering, National Center for Research Resources

Awards: Superior Temporal Gyrus function in Schizophrenia, A Systems Neuroscience Approach for the Study of General Anesthesia, Center for Functional Imaging Technologies, Dynamic Inverse Solutions for Multimodal Imaging, Dynamic Signal Processing Analyses of Neural Plasticity

OpenAlex ID: W2007891950

FWCI: 3.026

Cites: 29

Cited by: 188

Related to: 10