A simple nonparametric statistical thresholding for MEG spatial-filter source reconstruction images.
This paper proposes a simple statistical method for extracting target source activities from spatio-temporal source activities reconstructed from MEG measurements. The method requires measurements in a control condition, which contains only non-target source activities. The method derives, at each pixel location, an empirical probability distribution of the non-target source activity using the time course reconstruction obtained from the control period. The statistical threshold that can extract the target source activities is derived from the empirical distributions obtained from all pixel locations. Here, the multiple comparison problem is addressed with a two-step procedure involving standardizing these empirical distributions and deriving an empirical distribution of the maximum pseudo T value at each pixel location. The results of applying the proposed method to auditory-evoked measurements are presented to demonstrate the method's effectiveness.
Department of Systems Design and Engineering, Tokyo Metropolitan University, Asahigaoka 6-6, Hino, Tokyo 191-0065, Japan. ksekiha@cc.tmit.ac.jp
Kensuke
K
Sekihara
Maneesh
M
Sahani
Srikantan S
SS
Nagarajan
D000465:Algorithms; D003627:Data Interpretation, Statistical; D004574:Electromagnetic Fields; D005072:Evoked Potentials, Auditory / Q000502:physiology; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D015225:Magnetoencephalography / Q000379:methods* / Q000706:statistics & numerical data; D018709:Statistics, Nonparametric