<p>Schumann Signature.sav<br>Dataset to recreate Figures 4 to 6.</p>
<p>This dataset contains several variables which refer to the root-mean-square of the rostral (Fp1,Fp2,F7,F3,Fz,F4,F8) middle (T3,C3,Cz,C4,T4) and caudal (T5,P3,Pz,P4,T6,O1,O2) aggregates of sensors for 237 EEG records.</p>
<p>rostralschumann=rms rostral sensors<br>middleschumann=rms middle sensors<br>caudalschumann=rms caudal sensors</p>
<p>schumann_intensity: refers to the grouping category used to discern differences in individual who display low (1) medium (2) and high (3) spectral schumann profiles</p>
<p>————</p>
<p>The next set of data refers to inferences of current source density (uA/mm^2) for the left and right parahippocampal regions within the delta, theta, alpha-1, alpha-2, beta-1, beta-2, beta-3, and gamma bands.</p>
<p>Thus rightparahip_delta refers to right parahippocampal current source density in the delta band while leftparahip_gamma refers to left parahippocampal current source density in the gamma band.</p>
<p>———</p>
<p>The next set of variables refers to the statistics computed within MapWin for the classic 4 microstate model described in the paper. There are 20 variables:</p>
<p>varexp: the average model variance explained for the subject</p>
<p>gfp1 to gfp4: the average number of gfp peaks contributing to class 1 through 4 (see Koenig et al, 2002, NeuroImage) for topographies<br>gfptot=total number of gfp peaks in the 16 second epoch</p>
<p>per1 to per4: average percentage of time occupied by class A (here indicated a 1) to class D (here indicated as 4).</p>
<p>occ1 to occ4: average occurence (in Hz) of microstate A (1), B(2), C(3), D(4) in the 16 second epoch<br>occtot=total number of microstate occurrences (Hz)</p>
<p>dur1 to dur4: the average durations of the various microstates (in msec) for A(1), B(2), C(3), D(4).</p>
<p>—————</p>
<p>Finally the last sets of variables are the discrete spectral densities for the rostral, middle and caudal RMS signals (FFT resolution=.03 Hz) for each subject.</p>
<p>The general anatomy is:</p>
<p>X(n)</p>
<p>where X refers to rostral (r), middle (m) or caudal (c) and (n) refers to frequency bin</p>
<p>Hence examples of how to use the variables are</p>
<p>c157- 4.71 Hz (157*.03) caudal RMS spectral density<br>r564- 16.92 Hz (564*.03) rostral RMS spectral density<br>m23- .069 Hz (23*.03) middle RMS spectral density</p>
<p> </p>