Quantitative analysis of EEG signals: Time-frequency methods and ...
Quantitative analysis of EEG signals: Time-frequency methods and ...
Quantitative analysis of EEG signals: Time-frequency methods and ...
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I will summarize here some <strong>of</strong> the experimental evidence supporting this view (for<br />
more details see Basar, 1980, 1998, 1999 Basar et al., 1999):<br />
1. In three year old children, neither spontaneous, nor evoked 10Hz activity is obtained<br />
(Kolev et al, 1994, Basar-Eroglu et al., 1994). Then, according to the<br />
resonance theory, in this case alpha rhythm does not belong to the natural brain<br />
frequencies. In other words, alpha oscillations can not be evoked because there is<br />
no spontaneous alpha activity.<br />
2. High amplitude pre-stimulus 10Hz activity reduces the evoked potential amplitudes<br />
(Basar, 1980 Basar <strong>and</strong> Stampfer, 1985 Basar et al., 1992), thus showing<br />
an inverse relation between the pre-stimulus <strong>EEG</strong> <strong>and</strong> the evoked responses. An<br />
inuence <strong>of</strong> pre-stimulus theta <strong>EEG</strong> was also reported on visual evoked potentials<br />
(Basar et al., 1998). Then, since the background <strong>EEG</strong> inuences the evoked<br />
responses, it can not be merely considered as additive noise.<br />
3. Converging results support the view that evoked or induced oscillations can be<br />
correlated, at least partially, with dierent functions, as it will be described in<br />
sec. x2.3.3, thus showing that the <strong>frequency</strong> <strong>analysis</strong> <strong>of</strong> the evoked responses is not<br />
arbitrary.<br />
In conclusion, following the resonance theory, the ERP can be seen as evoked synchronization,<br />
<strong>frequency</strong> stabilization, <strong>frequency</strong> selective enhancement <strong>and</strong>/or phase reordering<br />
<strong>of</strong> the ongoing <strong>EEG</strong>, <strong>and</strong> it should not be interpreted as an additive component<br />
to a noisy background <strong>EEG</strong>.<br />
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