Epstein Secrets

lying a low-pass anti-aliasing filter with a cutoff frequency of 40 Hz and then downsampling by a factor of 10. A zero-phase, fourth-order, low-pass Butterworth filter with a cutoff frequency of 1 Hz was then applied to the kinematic and EEG data. The cutoff frequency was determined experimentally with infl

series (-100-0 ms in increments of 10 ms) of scalp maps. These spatial renderings of sensor contributions were produced by the topoplot function of EEGLAB, an open-source MATLAB toolbox for electrophysiological data processing (Delorme and Makeig, 2004; http://sccn.ucsd.edu/eeglab/), that performs bih

al. 2003). Signals from each EEG electrode were decimated by a 149 factor of 5 (to 100 liz), then filtered with a zero-phase, 3rd order, band-pass Butterworth filter 150 (0.1 — 2 Hz) and normalized by subtracting their mean and dividing by their standard deviation 151 (Bradbeny et al. 2010). Kinematic d

EFTA02693126 222 into a time series of scalp maps (-100-0 ms in increments of 10 ms for a total of I I scalp maps). 223 The topoplot function of EEGLAB [Delorme and Makeig 2004 (http://sccn.ucsd.edu/eeglab/)] 224 was used to plot the correlation values. The contribution of the reconstruction of each

mployed in this study has been previously described (Bradberry et a! 2010) so will only briefly be described here. First, a fourth-order, low-pass Butterworth filter with a cutoff frequency of I Hz was applied to the kinematic and EEG data. Very low frequencies have previously been shown to possess kinema

series (-110-0 ms in increments of 10 ms) of scalp maps. These spatial renderings of sensor contributions were produced by the topoplot function of EEGLAB (Delorme and Makcig 2004), an open-source MATLAB toolbox for electrophysiological data processing that performs bihannonic spline interpolation (S

t al. 2003). Signals from each EEG electrode were decimated by a 149 factor of 5 (to 100 Hz), then filtered with a zero-phase, 3rd order, band-pass Butterworth filter 150 (0.1 - 2 Hz) and normalized by subtracting their mean and dividing by their standard deviation 151 (Bradberry et al. 2010). Kinematic

EFTA00304375 222 into a time series of scalp maps (-100-0 ms in increments of 10 ms for a total of 11 scalp maps). 223 The topoplot function of EEGLAB [Delorme and Makeig 2004 (http://sccn.ucsd.edukezlab/)] 224 was used to plot the correlation values. The contribution of the reconstruction of each