Offers a method for magnetoencephalography and electroencephalography (M/EEG) patch source imaging on high-resolution cortices. STRAPS is state-space modeling and estimation algorithm that uses local spatial-temporal constraints for estimating cortical sources. The algorithm was tested on both synthetic electroencephalography (EEG) data the numerical simulations and real Magnetoencephalography (MEG) data analysis.
College of Automation Science and Engineering South China University of Technology, Guangzhou, China; Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
STRAPS funding source(s)
Supported in part by 973 Program (No. 2015CB351703), the National Natural Science Foundation of China under Grants 61175114 and 61403144, the Natural Science Foundation of Guangdong under Grants S2012020010945, 2014A030313253 and S2013010013445, and the National High-tech R&D Program of China (863 Program) under Grant 2012AA011601.