UCI Dataset (Alcoholism)

Description

This data arises from a large study to examine EEG correlates of genetic predisposition to alcoholism. It contains measurements from 64 electrodes placed on subject's scalps which were sampled at 256 Hz (3.9-msec epoch) for 1 second.

There were two groups of subjects: alcoholic and control. Each subject was exposed to either a single stimulus (S1) or to two stimuli (S1 and S2) which were pictures of objects chosen from the 1980 Snodgrass and Vanderwart picture set. When two stimuli were shown, they were presented in either a matched condition where S1 was identical to S2 or in a non-matched condition where S1 differed from S2.

Shown here are example plots of a control and alcoholic subject. The plots indicate voltage, time, and channel and are averaged over 10 trials for the single stimulus condition.

control.gifalcoholic.gif

There were 122 subjects and each subject completed 120 trials where different stimuli were shown. The electrode positions were located at standard sites (Standard Electrode Position Nomenclature, American Electroencephalographic Association 1990). Zhang et al. (1995) describes in detail the data collection process.

Full description of the dataset: eeg_data.html


Small Dataset (2 subjects)

The small data set (smni97_eeg_data.tar.gz) contains data for the 2 subjects, alcoholic a_co2a0000364 and control c_co2c0000337. For each of the 3 matching paradigms, c_1 (one presentation only), c_m (match to previous presentation) and c_n (no-match to previous presentation), 10 runs are shown.

Number of vectors for each trial = 256


FSD for c_n (two stimuli, no-match)

Left column = control subject
Right column = alcoholic subject

Without clustering

Gauss centers in $\mu_1 = \left( - \frac{1}{2}, \dots, - \frac{1}{2} \right)$ and $\mu_2 = \left( \frac{1}{2}, \dots, \frac{1}{2} \right)$
Gauss dispersions: $\frac{1}{3} \left\| \mu_1 - \mu_2 \right\|$

c_n_1_g-0.5_0.5_disp0.33.gifa_n_1_g-0.5_0.5_disp0.33.gif
c_n_2_g-0.5_0.5_disp0.33.gifa_n_2_g-0.5_0.5_disp0.33.gif
c_n_3_g-0.5_0.5_disp0.33.gifa_n_3_g-0.5_0.5_disp0.33.gif
c_n_4_g-0.5_0.5_disp0.33.gifa_n_4_g-0.5_0.5_disp0.33.gif
c_n_5_g-0.5_0.5_disp0.33.gifa_n_5_g-0.5_0.5_disp0.33.gif
c_n_6_g-0.5_0.5_disp0.33.gifa_n_6_g-0.5_0.5_disp0.33.gif
c_n_7_g-0.5_0.5_disp0.33.gifa_n_7_g-0.5_0.5_disp0.33.gif
c_n_8_g-0.5_0.5_disp0.33.gifa_n_8_g-0.5_0.5_disp0.33.gif
c_n_9_g-0.5_0.5_disp0.33.gifa_n_9_g-0.5_0.5_disp0.33.gif
c_n_10_g-0.5_0.5_disp0.33.gifa_n_10_g-0.5_0.5_disp0.33.gif

All trials together:
c_n_all_g-0.5_0.5_disp0.33.gifa_n_all_g-0.5_0.5_disp0.33.gif

Gauss centers in $\mu_1 = \left( - 1, \dots, - 1 \right)$ and $\mu_2 = \left( 1, \dots, 1 \right)$
Gauss dispersions: $\frac{1}{6} \left\| \mu_1 - \mu_2 \right\|$

All trials together:
g-1_1_c_n_all_disp0.166.gifg-1_1_a_n_all_disp0.166.gif

Agglomerative hierarchical clustering (average linkage clustering)

Gauss centers:
hierarch_gauss_centers.gif

Gauss dispersions: $\frac{1}{3} \left\| \mu_1 - \mu_2 \right\|$

hierarch_c_n_1_disp0.33.gifhierarch_a_n_1_disp0.33.gif
hierarch_c_n_2_disp0.33.gifhierarch_a_n_2_disp0.33.gif
hierarch_c_n_3_disp0.33.gifhierarch_a_n_3_disp0.33.gif
hierarch_c_n_4_disp0.33.gifhierarch_a_n_4_disp0.33.gif
hierarch_c_n_5_disp0.33.gifhierarch_a_n_5_disp0.33.gif
hierarch_c_n_6_disp0.33.gifhierarch_a_n_6_disp0.33.gif
hierarch_c_n_7_disp0.33.gifhierarch_a_n_7_disp0.33.gif
hierarch_c_n_8_disp0.33.gifhierarch_a_n_8_disp0.33.gif
hierarch_c_n_9_disp0.33.gifhierarch_a_n_9_disp0.33.gif
hierarch_c_n_10_disp0.33.gifhierarch_a_n_10_disp0.33.gif

All trials together:
hierarch_c_n_all_disp0.33.gifhierarch_a_n_all_disp0.33.gif


FSD for c_1 (single stimulus)

Left column = control subject
Right column = alcoholic subject

Without clustering

Gauss centers in $\mu_1 = \left( - \frac{1}{2}, \dots, - \frac{1}{2} \right)$ and $\mu_2 = \left( \frac{1}{2}, \dots, \frac{1}{2} \right)$
Gauss dispersions: $\frac{1}{3} \left\| \mu_1 - \mu_2 \right\|$

All trials together:
g-0.5_0.5_c_1_all_disp0.33.gifg-0.5_0.5_a_1_all_disp0.33.gif

Gauss centers in $\mu_1 = \left( - 1, \dots, - 1 \right)$ and $\mu_2 = \left( 1, \dots, 1 \right)$
Gauss dispersions: $\frac{1}{6} \left\| \mu_1 - \mu_2 \right\|$

All trials together:
g-1_1_c_1_all_disp0.166.gifg-1_1_a_1_all_disp0.166.gif


FSD after channel selection (highest average energy)

Alcoholic subject was used to determine channel selection.

Left column = control subject
Right column = alcoholic subject

Gauss centers in $\mu_1 = \left( - \frac{1}{2}, \dots, - \frac{1}{2} \right)$ and $\mu_2 = \left( \frac{1}{2}, \dots, \frac{1}{2} \right)$
Gauss dispersions: $\frac{1}{2} \left\| \mu_1 - \mu_2 \right\|$

c_1 vs a_1

Three channels after selection: 1, 32, 63

maxch3_g-0.5_0.5_disp0.5_c_1.gifmaxch3_g-0.5_0.5_disp0.5_a_1.gif

c_m vs a_m

Three channels after selection: 16, 32, 55

maxch3_g-0.5_0.5_disp0.5_c_m.gifmaxch3_g-0.5_0.5_disp0.5_a_m.gif

c_n vs a_m

Three channels after selection: 16, 32, 55

maxch3_g-0.5_0.5_disp0.5_c_n.gifmaxch3_g-0.5_0.5_disp0.5_a_n.gif

Gauss centers in $\mu_1 = \left( - \frac{1}{2}, \dots, - \frac{1}{2} \right)$ and $\mu_2 = \left( \frac{1}{2}, \dots, \frac{1}{2} \right)$
Gauss dispersions: $\frac{2}{3} \left\| \mu_1 - \mu_2 \right\|$

c_1 vs a_1

Three channels after selection: 1, 32, 63

maxch3_g-0.5_0.5_disp0.66_c_1.gifmaxch3_g-0.5_0.5_disp0.66_a_1.gif

c_m vs a_m

Three channels after selection: 16, 32, 55

maxch3_g-0.5_0.5_disp0.66_c_m.gifmaxch3_g-0.5_0.5_disp0.66_a_m.gif

c_n vs a_m

Three channels after selection: 16, 32, 55

maxch3_g-0.5_0.5_disp0.66_c_n.gifmaxch3_g-0.5_0.5_disp0.66_a_n.gif

FSD after channel selection (highest average energy; jet colormap)

Alcoholic subject was used to determine channel selection.

Left column = control subject
Right column = alcoholic subject


Gauss centers in $\mu_1 = \left( - \frac{1}{2}, \dots, - \frac{1}{2} \right)$ and $\mu_2 = \left( \frac{1}{2}, \dots, \frac{1}{2} \right)$
Gauss dispersions: $\frac{1}{2} \left\| \mu_1 - \mu_2 \right\|$

c_1 vs a_1

Three channels after selection (energy in brackets): 1 (416.9), 32 (1116.7), 63 (404.0)

jet_maxch3_g-0.5_0.5_disp0.5_c_1.gifjet_maxch3_g-0.5_0.5_disp0.5_a_1.gif

c_m vs a_m

Three channels after selection (energy in brackets): 16 (590.1), 32 (785.3), 55 (302.6)

jet_maxch3_g-0.5_0.5_disp0.5_c_m.gifjet_maxch3_g-0.5_0.5_disp0.5_a_m.gif

c_n vs a_n

Three channels after selection (energy in brackets): 16 (489.5), 32 (669.7), 55 (297.2)

jet_maxch3_g-0.5_0.5_disp0.5_c_n.gifjet_maxch3_g-0.5_0.5_disp0.5_a_n.gif

Gauss centers in $\mu_1 = \left( - \frac{1}{2}, \dots, - \frac{1}{2} \right)$ and $\mu_2 = \left( \frac{1}{2}, \dots, \frac{1}{2} \right)$
Gauss dispersions: $\frac{2}{3} \left\| \mu_1 - \mu_2 \right\|$

c_1 vs a_1

Three channels after selection (energy in brackets): 1 (416.9), 32 (1116.7), 63 (404.0)

jet_maxch3_g-0.5_0.5_disp0.66_c_1.gifjet_maxch3_g-0.5_0.5_disp0.66_a_1.gif

c_m vs a_m

Three channels after selection (energy in brackets): 16 (590.1), 32 (785.3), 55 (302.6)

jet_maxch3_g-0.5_0.5_disp0.66_c_m.gifjet_maxch3_g-0.5_0.5_disp0.66_a_m.gif

c_n vs a_n

Three channels after selection (energy in brackets): 16 (489.5), 32 (669.7), 55 (297.2)

jet_maxch3_g-0.5_0.5_disp0.66_c_n.gifjet_maxch3_g-0.5_0.5_disp0.66_a_n.gif

Gauss centers in $\mu_1 = \left( -1, \dots, -1 \right)$ and $\mu_2 = \left( 1, \dots, 1 \right)$
Gauss dispersions: $\frac{1}{3} \left\| \mu_1 - \mu_2 \right\|$

c_1 vs a_1

Three channels after selection (energy in brackets): 1 (416.9), 32 (1116.7), 63 (404.0)

jet_maxch3_g-1_1_disp0.33_c_1.gifjet_maxch3_g-1_1_disp0.33_a_1.gif
jet_maxch3_g-1_1_disp0.33_c_1_gvst.gifjet_maxch3_g-1_1_disp0.33_a_1_gvst.gif

c_m vs a_m

Three channels after selection (energy in brackets): 16 (590.1), 32 (785.3), 55 (302.6)

jet_maxch3_g-1_1_disp0.33_c_m.gifjet_maxch3_g-1_1_disp0.33_a_m.gif
jet_maxch3_g-1_1_disp0.33_c_m_gvst.gifjet_maxch3_g-1_1_disp0.33_a_m_gvst.gif

c_n vs a_n

Three channels after selection (energy in brackets): 16 (489.5), 32 (669.7), 55 (297.2)

jet_maxch3_g-1_1_disp0.33_c_n.gifjet_maxch3_g-1_1_disp0.33_a_n.gif
jet_maxch3_g-1_1_disp0.33_c_n_gvst.gifjet_maxch3_g-1_1_disp0.33_a_n_gvst.gif

FSD after channel selection (highest average energy; jet colormap) - 2nd pair of subjects

Alcoholic subject was used to determine channel selection.

Left column = control subject
Right column = alcoholic subject


Gauss centers in $\mu_1 = \left( - \frac{1}{2}, \dots, - \frac{1}{2} \right)$ and $\mu_2 = \left( \frac{1}{2}, \dots, \frac{1}{2} \right)$
Gauss dispersions: $\frac{1}{2} \left\| \mu_1 - \mu_2 \right\|$

c_1 vs a_1

Three channels after selection (energy in brackets): 1 (231.6), 16 (251.5), 32 (932.1)

2nd_jet_maxch3_g-0.5_0.5_disp0.5_c_1.gif2nd_jet_maxch3_g-0.5_0.5_disp0.5_a_1.gif

c_m vs a_m

Three channels after selection (energy in brackets): 1 (640.1), 32 (799.0), 63 (616.6)

2nd_jet_maxch3_g-0.5_0.5_disp0.5_c_m.gif2nd_jet_maxch3_g-0.5_0.5_disp0.5_a_m.gif

c_n vs a_n

Three channels after selection (energy in brackets): 1 (559.2), 32 (715.2), 63 (539.5)

2nd_jet_maxch3_g-0.5_0.5_disp0.5_c_n.gif2nd_jet_maxch3_g-0.5_0.5_disp0.5_a_n.gif

FSD after channel selection (highest average energy; jet colormap) - "+1" for 1st pair

Alcoholic subject was used to determine channel selection.

Left column = control subject
Right column = alcoholic subject

Top row = with "+1"
Bottom row = without "+1"


Gauss centers in $\mu_1 = \left( -1, \dots, -1 \right)$ and $\mu_2 = \left( 1, \dots, 1 \right)$
Gauss dispersions: $\frac{1}{3} \left\| \mu_1 - \mu_2 \right\|$

c_1 vs a_1

Three channels after selection (energy in brackets): 1 (416.9), 32 (1116.7), 63 (404.0)

+1_jet_maxch3_g-1_1_disp0.33_c_1.gif+1_jet_maxch3_g-1_1_disp0.33_a_1.gif
jet_maxch3_g-1_1_disp0.33_c_1.gifjet_maxch3_g-1_1_disp0.33_a_1.gif

c_m vs a_m

Three channels after selection (energy in brackets): 16 (590.1), 32 (785.3), 55 (302.6)

+1_jet_maxch3_g-1_1_disp0.33_c_m.gif+1_jet_maxch3_g-1_1_disp0.33_a_m.gif
jet_maxch3_g-1_1_disp0.33_c_m.gifjet_maxch3_g-1_1_disp0.33_a_m.gif

c_n vs a_n

Three channels after selection (energy in brackets): 16 (489.5), 32 (669.7), 55 (297.2)

+1_jet_maxch3_g-1_1_disp0.33_c_n.gif+1_jet_maxch3_g-1_1_disp0.33_a_n.gif
jet_maxch3_g-1_1_disp0.33_c_n.gifjet_maxch3_g-1_1_disp0.33_a_n.gif