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Provorova, A.

Publications and source records attributed to Provorova, A..

2 recordsLinked to original sources

Modelling the willingness to pay for honey: the role of sensory characteristics and EEG neurometrics

It is currently unclear which honey attributes are most important for consumers and, more importantly, from an economic perspective, for which of them consumers are willing to pay for. The aim of this study was to examine the role of sensory attributes in consumers willingness to pay for honey. The study was performed in two steps. First, we ran a behavioural experiment in which 25 participants were asked to blindly taste and evaluate 21 sensory attributes of 7 different flower honey samples. Based on the obtained data, we conducted a factor analysis and aggregated all sensory attributes into 6 factors, which were used in the second part of the study during a neuromarketing experiment. The neuromarketing experiment involved another 25 respondents who also blindly tasted honey, evaluated its 6 sensory characteristics (corresponding to the 6 above-mentioned factors), as well as their willingness to pay, the perceived quality and taste of the samples. While the respondents were evaluating honey samples, their brain activity was recorded using an electroencephalograph (EEG). Based on the obtained data, the willingness to pay was modeled using a linear regression, which has demonstrated that consumers willingness to pay for honey is significantly influenced by the taste of honey, the perceived quality indicated by various sensory characteristics, the male gender, and the brain activity in the frontal areas.

neuroscience↗

Functional Brain Connectivity and Musical Training: Insights from EEG Phase Synchronization During Music Perception

Musical training profoundly impacts brain organization, fostering functional and structural adaptations that enhance auditory, motor, and cognitive processes. This study investigates functional connectivity differences between professional musicians and non-musicians during tasks involving music perception and different graphic notations. Using EEG phase-locking value (PLV) analysis, we examined synchronization across alpha, beta, and gamma frequency bands. Results revealed that musicians exhibited enhanced functional connectivity between brain regions, reflecting their ability to integrate auditory, visual, and cognitive information efficiently. In the alpha band, strong connectivity between the occipital and temporal regions was observed during all tasks, with additional synchronization between the parietal and temporal regions in tasks lacking pitch information. In the beta band, significant frontal-temporal connectivity was detected, indicating cognitive processing, while temporal-occipital synchronization emerged in specific tasks. In the gamma band, musicians demonstrated robust frontal-temporal and frontal-frontal synchronization, reflecting emotional and structural processing of music. Non-musicians showed reduced task-specific connectivity, relying on generalized strategies. These findings underscore the role of musical training in enhancing multimodal brain integration and cognitive flexibility, contributing to advanced music perception and processing.

neuroscience↗