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Link to original content: https://doi.org/10.1007/978-3-030-51041-1_5
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Algorithm for Assessing Auditory Images Perception and Verbal Information

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Advances in Neuroergonomics and Cognitive Engineering (AHFE 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1201))

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Abstract

In some contexts, brain dysfunctions may be considered as a model of phantom functional states that can form in a healthy person under extreme conditions. To assess individual psychological characteristics and the degree of phantom severity a clinical interview, a study of auditory speech memory, an assessment of situational and personal anxiety, and differential diagnosis of depressive conditions were used. To study the auditory-cognitive functions, an original technique was developed “Recognition of auditory images”. EEG in the pre-stimulus period, as well as simultaneously with the perception of auditory images was recorded. In a phantom state, the latent period of perception of auditory images was significantly higher than the reference in 2.6–2.9 times, and the substantive effectiveness of auditory perceptual activity was 2.5 times lower. The coherent analysis of the EEG revealed a violation of the formation of “interaction foci”, where the reduction of intercentral interaction reached 18.8– 42.7%.

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Correspondence to Sergey Lytaev .

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Belskaya, K., Lytaev, S. (2021). Algorithm for Assessing Auditory Images Perception and Verbal Information. In: Ayaz, H., Asgher, U. (eds) Advances in Neuroergonomics and Cognitive Engineering. AHFE 2020. Advances in Intelligent Systems and Computing, vol 1201. Springer, Cham. https://doi.org/10.1007/978-3-030-51041-1_5

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