Journal
ONCOTARGET
Volume 7, Issue 35, Pages 56120-56128Publisher
IMPACT JOURNALS LLC
DOI: 10.18632/oncotarget.11234
Keywords
auditory stimulus; electroencephalogram (EEG) signal; memory; Hurst exponent; approximate entropy
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Funding
- Academic Research Fund (AcRF) of Ministry of Education (Singapore) [RG119/15]
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One of the major challenges in brain research is to relate the structural features of the auditory stimulus to structural features of Electroencephalogram (EEG) signal. Memory content is an important feature of EEG signal and accordingly the brain. On the other hand, the memory content can also be considered in case of stimulus. Beside all works done on analysis of the effect of stimuli on human EEG and brain memory, no work discussed about the stimulus memory and also the relationship that may exist between the memory content of stimulus and the memory content of EEG signal. For this purpose we consider the Hurst exponent as the measure of memory. This study reveals the plasticity of human EEG signals in relation to the auditory stimuli. For the first time we demonstrated that the memory content of an EEG signal shifts towards the memory content of the auditory stimulus used. The results of this analysis showed that an auditory stimulus with higher memory content causes a larger increment in the memory content of an EEG signal. For the verification of this result, we benefit from approximate entropy as indicator of time series randomness. The capability, observed in this research, can be further investigated in relation to human memory.
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