## Brain Schumann Resonance Signature

#### dataset

Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.

Schumann Signature.sav

Dataset to recreate Figures 4 to 6.

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.

rostralschumann=rms rostral sensors

middleschumann=rms middle sensors

caudalschumann=rms caudal sensors

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

————

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.

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.

———

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:

varexp: the average model variance explained for the subject

gfp1 to gfp4: the average number of gfp peaks contributing to class 1 through 4 (see Koenig et al, 2002, NeuroImage) for topographies

gfptot=total number of gfp peaks in the 16 second epoch

per1 to per4: average percentage of time occupied by class A (here indicated a 1) to class D (here indicated as 4).

occ1 to occ4: average occurence (in Hz) of microstate A (1), B(2), C(3), D(4) in the 16 second epoch

occtot=total number of microstate occurrences (Hz)

dur1 to dur4: the average durations of the various microstates (in msec) for A(1), B(2), C(3), D(4).

—————

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.

The general anatomy is:

X(n)

where X refers to rostral (r), middle (m) or caudal (c) and (n) refers to frequency bin

Hence examples of how to use the variables are

c157- 4.71 Hz (157*.03) caudal RMS spectral density

r564- 16.92 Hz (564*.03) rostral RMS spectral density

m23- .069 Hz (23*.03) middle RMS spectral density