This paper proposed a prewhitening invariance of noise space (PW-INN) as a new magnetoencephalography (MEG) source analysis method, which is particularly suitable for localizing closely spaced and highly correlated cortical sources under real MEG noise. Conventional source localization methods, such as sLORETA and beamformer, cannot distinguish closely spaced cortical sources, especially under ...

OBJECTIVE The present study examined whether slow and/or fast sleep spindles are related to visuomotor learning, by examining the densities of current sleep spindle activities. METHODS Participants completed a visuomotor task before and after sleep on the learning night. This task was not performed on the non-learning night. Standard polysomnographic recordings were made. After the amplitudes...

In order to overcome some of the limitations of the distributed inverse solution algorithms, a new algorithm named Standardized Weighted Low Resolution Tomography (swLORETA) was developed. The swLORETA algorithm incorporates a singular value decomposition (SVD) based lead field weighting to compensate the tendency of the linear inverse procedures in general, and sLORETA in particular, to recons...

Along with the development of distributed EEG source modeling methods, basic approaches to local brain activity (LBA-) neurofeedback (NF) have been suggested. Meanwhile several attempts using LORETA and sLORETA have been published. This article specifically reports on "EEG-based LBA-feedback training" developed by Bauer et al. (2011). Local brain activity-feedback has the advantage over other s...

p300 components were used to investigate the processing of different sounds in the human brain function. Defining the scalp topography of the p300 components by means of reference-independent methods and identifying its electrical cortical generators by using the standardized low-resolution electromagnetic tomography (sloreta) are the aims of this study. Compared to the rare non-target tone, th...