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Mathematics in Independent Component Analysis

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Chapter 19. LNCS 3195:977-984, 2004 257<br />

982 Ingo R. Keck et al.<br />

Fig. 3. <strong>Independent</strong> component which correspond to a proposed subsystem for word<br />

detection.<br />

Fig. 4. <strong>Independent</strong> component with activation <strong>in</strong> Broca’s area (speech motor area).<br />

The most <strong>in</strong>terest<strong>in</strong>g f<strong>in</strong>d<strong>in</strong>g was an IC which represents a network of three<br />

simultaneously active areas <strong>in</strong> the <strong>in</strong>ferior frontal gyrus (figure 3) <strong>in</strong> one subject.<br />

This network was suggested to be a center for the perception of speech <strong>in</strong> [8].<br />

Figure 4 shows an IC (of the same subject) that we assume to be a network for<br />

the decision to press the button. All other subjects except one had ICs that correspond<br />

to these networks, although often separated <strong>in</strong>to different components.<br />

The time course of both components matches visually very well (figure 5) while<br />

their correlation coefficient rema<strong>in</strong>s rather low (kcorr =0.36), apparently due to<br />

temporary time- and basel<strong>in</strong>e-shifts.

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