Raw 19-channel EEG Data

<p>This MATLAB workspace contains raw 19-channel EEG records (uV) for 237 cases.  The epoch lengths are 16 seconds in duration, sampled at 250 Hz.  All data has been re-filtered using the <em>eegfiltfft</em><em>.m</em> function within EEGLab (Delorme and Makeig, 2004).  Each column pertains to one channel.  Columns are:</p> <p>1. Fp1</p> <p>2. Fp2</p> <p>3. F7</p> <p>4. F3</p> <p>5. Fz</p> <p>6. F4</p> <p>7. F8</p> <p>8. T3</p> <p>9. C3</p> <p>10. Cz</p> <p>11. C4</p> <p>12. T4</p> <p>13. T5</p> <p>14. P3</p> <p>15. Pz</p> <p>16. P4</p> <p>17. T6</p> <p>18. O1</p> <p>19. O2</p> <p> </p> <p>All data has been collected from eyes closed baselines of various experiments.  All have been collected with a Mitsar-201 amplifier running WinEEG and exported as *.txt files.  </p

Random 10 Subject Sample

<p>Random 10 Sample.sav<br>For reproduction of Figure 3</p> <p>Dataset contains the raw voltages (uV) for 10 randomly selected individuals from the larger dataset (N=237). Data is 16 seconds sampled at 250 Hz and filtered between 1.5 and 40 Hz.</p> <p>The general anatomy of each variable is:</p> <p>s(x)fp1 or s(x)o2</p> <p>where x is the subject number (1-10).</p> <p>Thus s5fp1 refers to the raw time-series voltages in Fp1 sensor for subject 5<br>and s8o2 refers to the raw time-series voltages for O2 sensor for subject 8</p> <p> </p

Brain Schumann Resonance Signature

<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

Rostral-Caudal Absolute Differences

<p>Details:</p> <p>Rostral-Caudal Data.sav<br>Data for producing Figures 1, 2</p> <p>This dataset consists of spectral densities for 237 EEG records within discrete frequency bins for 19-channels. The 19 channels are:</p> <p>1. Fp1<br>2. Fp2<br>3. F7<br>4. F3<br>5. Fz<br>6. F4<br>7. F8<br>8. T3<br>9. C3<br>10. Cz<br>11. C4<br>12. T4<br>13. T5<br>14. P3<br>15. Pz<br>16. P4<br>17. T6<br>18. O1<br>19. O2</p> <p>The variable names are:<br>rc-absolute rostral-caudal difference<br>rl-absolute left-right difference<br>absz-absolute z-scores for rostral caudal used to select for 177 individuals<br>observed in Figures 1 and 2 (select zscores -1 </p><p>-The next variables assume the general anatomy:</p> <p>c(x)w(y)<br>where x refers to channel number (1-19) and y refers to discrete frequency spectral density (FFT resolution 0.24 Hz) between 0 and 40 Hz. Thus:</p> <p>c1w56 refers to 13.44 (56*.24) Hz activity in Fp1<br>c11w89 refers to 21.36 (89*.24) Hz activity in C4…etc.</p> <p>-The next variables assume the general anatomy:</p> <p>rcw(y)</p> <p>where y is the absolute difference between Fp1 and O2<br>frequency spectral density (FFT resolution .24 Hz) between 0 and 40 Hz. Thus:</p> <p>rcw40 refers to 9.6 Hz (40*.24) absolute rostral (Fp1) caudal (O2)<br>difference.</p> <p>-The next variables assume the general anatomy</p> <p>rl(y)</p> <p>where y is the absolute difference between T3 and T4<br>frequency spectral density (FFT resolution .24 Hz) between 0 and 40 Hz. Thus:</p> <p>rl40 refers to 9.6 Hz (40*.24) absolute left (T3) right (T4)<br>difference.</p> <p> </p