DocumentCode :
2584301
Title :
Neuronal representation of music during musicogenic epilepsy
Author :
Das, S.R. ; Ray, G.C.
Author_Institution :
Dept. of Electr. Eng., Indian Inst. of Technol., Kanpur, India
Volume :
3
fYear :
1998
fDate :
29 Oct-1 Nov 1998
Firstpage :
1657
Abstract :
It has been shown earlier that deep aesthetic appreciation of music can induce an altered state of consciousness, a phenomenon often referred to as musicogenic epilepsy. The change in EEG, during such a state, has been characterized by large number of spikes, symptomatic to epilepsy, along, with changes in background EEG. The fractal dimension of EEG was found to reduce during this (epoch) period. Morphological variations in ECG, causing a possible sympathetic burst on autonomic system (ANS), has also been reported. In the present study, the neural representation of the music, causing change in the state of mind, has been found out using a biophysically defensible model of auditory processing. This involves analysis, transduction and reduction in the cochlear mechanism generating the auditory spectrum. The latter is again taken as input to the response function (RF) of the neuron and the output of this filter is the neuronal representation of the input signal (music). This cortical representation turns out to be a ripple, i.e. near-sinusoid on the log-frequency axis, indicating a broad-based spike in the time domain. This might have deeper implications on the study of altered state of consciousness because spikes in EEG and the `clouding´ of consciousness (say during grandmal/petitmal epilepsy) are established phenomena
Keywords :
auditory evoked potentials; electroencephalography; fractals; medical signal processing; music; neurophysiology; EEG fractal dimension; altered state of consciousness; auditory spectrum; broad-based spike; cochlear mechanism; grandmal epilepsy; music neuronal representation; musicogenic epilepsy; neuronal representation; petitmal epilepsy; response function; spikes; Brain modeling; Electrocardiography; Electroencephalography; Electromagnetic interference; Epilepsy; Filters; Fractals; Multiple signal classification; Neurons; Temporal lobe;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 1998. Proceedings of the 20th Annual International Conference of the IEEE
Conference_Location :
Hong Kong
ISSN :
1094-687X
Print_ISBN :
0-7803-5164-9
Type :
conf
DOI :
10.1109/IEMBS.1998.747226
Filename :
747226
Link To Document :
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