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EEG-based analysis of ASMR Stimuli: a pilot study of neuropsychological responses through conventional vs. bone-conduction headphones

Seifzadeh Sahar, Kostek Bożena, Poerio Giulia L.

Vibrations in Physical Systems

2024

Vol. 35, nr 3

art. no. 2024307

In this study, the impact of ASMR (Autonomous Sensory Meridian Response) experiences delivered through different types of headphones was evaluated with respect to neural responses and anxiety levels. The EEG data of a 24-year-old participant was recorded while he underwent ASMR stimulation using conventional and bone-conduction headphones. The State-Trait Anxiety Inventory (STAI) assessed anxiety levels before and after ASMR stimulation, showing decreased state anxiety following intervention. Based on spectral analysis of Electroencephalography (EEG) data, significant differences were found between headphone types and cognitive tasks (Mathematical calculations). Using conventional headphones, gamma activity was evident in the posterior brain regions, suggesting that headphone type may influence ASMR-induced neural activity. The pilot study findings emphasize the importance of refining auditory delivery methods for clinical applications to maximize ASMR efficacy and therapeutic outcomes.

Decoding soundscape stimuli and their impact on ASMR studie

Piernicki Tomasz, Seifzadeh Sahar, Kostek Bożena

International Journal of Electronics and Telecommunications

2024

Vol. 70, No. 4

815-821

This paper focuses on extracting and understanding the acoustical features embedded in the soundscape used in ASMR (Autonomous Sensory Meridian Response) studies. To this aim, a dataset of the most common sound effects employed in ASMR studies is gathered, containing whispering stimuli but also sound effects such as tapping and scratching. Further, a comparative analytical survey is performed based on various acoustical features and two-dimensional representations in the form of mel spectrogram. A special interest is in whispering sounds uttered in different languages. That is why whispering sounds are compared in the language context, and the characteristics of speaking and whispering are investigated within languages. The results of the 2D analyses are shown in the form of similarity measures, such as Normalized Root Mean Squared Error (NRMSE), PSNR (peak signal-to-noise ratio), and SSIM (structural similarity index measure). The summary is produced, showing that the analytical aspect of the inherently experiential nature of ASMR is highly affected by the subjective, personal experience, so the evidence behind triggering certain brain waves cannot be unambiguous.