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Music Therapy Today - World Federation of Music Therapy

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Fachner, J. (2006) ‘Set and setting’ in an electrophysiological research paradigm on music perception under the influence <strong>of</strong> cannabis<br />

and correlated brain function. <strong>Music</strong> <strong>Therapy</strong> <strong>Today</strong> (Online) Vol.VII (2) 333-374. available at http://musictherapyworld.net<br />

ria and higher alpha-index during the first 20 minutes (Lukas et al.,<br />

1995).<br />

Results remind us to be aware <strong>of</strong> an inter-individual implicit order <strong>of</strong><br />

electrophysiological signal processes during personal cannabis experi-<br />

ences. The psychoactive action <strong>of</strong> THC induces EEG signatures that can<br />

be identified, but some frequency ranges seem to be more indicative for<br />

the quality <strong>of</strong> the actual experience.<br />

The Exploration<br />

The aim <strong>of</strong> this explorative pre/post EEG study was to accompany the<br />

way persons used to smoke cannabis and listened to music in a habituated<br />

setting <strong>of</strong> a living room.<br />

Cannabis induces a field-related perceptual style (A. J. Dinnerstein,<br />

1968). Most <strong>of</strong> the EEG laboratory studies appear to show a lack <strong>of</strong> sen-<br />

sitivity to the experimental setting. To reduce the laboratory-setting bias<br />

in EEG results, the field-dependence <strong>of</strong> drug action in personal set and<br />

experimental setting has to be kept in mind by conducting research<br />

according to a suitable paradigm (Weil, 1998). The topographic changes<br />

induced by cannabis while listening to music may well be radically dif-<br />

ferent in the laboratory setting as compared with one in which the subject<br />

normally listens to music.<br />

An obvious reason to use the EEG in researching cannabis and music<br />

perception is based on the high time-related resolution <strong>of</strong> the data. We<br />

can observe synchronous electrophysiological traces <strong>of</strong> cognitive activity<br />

in the EEG (H. Petsche, 1994). While the synchronous correlation <strong>of</strong> the<br />

EEG is its big advantage, it lacks on spatial resolution <strong>of</strong> data origin. We<br />

can only observe summations <strong>of</strong> generating units below the surface <strong>of</strong> the<br />

The Exploration 345

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