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Understanding how our brain's perceptual system related to sensory evaluation of food can be affected by alcohol concentration is essential for both neuroscience and food science. This study applied EEG microstate analysis to characterize dynamic brain activity across seven alcohol levels (water, 5 %, 10 %, 20 %, 40 %, 53 % ABV, and Baijiu). Unlike traditional EEG analyses, microstate analysis provides a temporally resolved perspective on large-scale neural dynamics. Four microstates (A, B, C, D) were identified, with microstates B and C predominantly involved in sensory-emotional processing. Lower alcohol levels (≤20 % ABV) enhanced sensory focus, whereas higher concentrations (≥ 40 % ABV) induced frequent sensory re-evaluation and attentional shifts. These results reveal concentration-dependent neural adaptations, demonstrating that alcohol modulates both sensory and cognitive processing through dynamic brain state transitions. These findings enhance our understanding of alcohol-induced sensory and cognitive processing, providing insights for both neuro-flavor research and food science applications.
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http://dx.doi.org/10.1016/j.foodchem.2025.144218 | DOI Listing |
Food Chem
September 2025
Key Laboratory of Brewing Molecular Engineering of China Light Industry, Beijing Technology & Business University (BTBU), Beijing 100048, China. Electronic address:
The complex aroma of Baijiu is influenced by the interactions of various flavor compounds. This study employed molecular dynamics simulations and headspace solid-phase microextraction to both simulate and validate the interaction mechanisms between two key aroma compounds in Baijiu: ethyl caprylate and ethyl acetate. The findings indicate that a reduction in electrostatic interactions and van der Waals forces enhances the volatility of these compounds within Baijiu.
View Article and Find Full Text PDFBrain Sci
August 2025
College of Information Engineering, Chinese People's Armed Police Force Engineering University, Xi'an 710086, China.
In recent years, complexity analysis has attracted considerable attention in the field of neural mechanism exploration due to its nonlinear characteristics, providing a new perspective for revealing the complex information processing mechanisms of the brain. In precision sports such as shooting, complexity analysis can quantify the complexity of activity in different areas of the brain and dynamic changes. This study extracted multiple complexity indicators based on microstate and traceability analysis and examined brain complexity during the shooting preparation stage and the brain's reaction mechanisms under audiovisual limitations.
View Article and Find Full Text PDFBrain Behav
August 2025
Neuroscience and Neuroengineering Research Lab., Biomedical Engineering Department, School of Electrical Engineering, Iran University of Science & Technology (IUST), Tehran, Iran.
EEG microstate analysis provides insights into the spatial and temporal dynamics of brain activity during cognitive tasks. The four canonical microstates (classes A, B, C, and D) have been widely reported and associated with various cognitive functions. However, the relationship between microstate parameters and behavioral responses in cognitive functions, such as working memory (WM), has not been sufficiently investigated.
View Article and Find Full Text PDFFront Neurosci
August 2025
School of Computer Science, Northeast Electric Power University, Jilin, China.
Introduction: Audiovisual (AV) perception is a fundamental modality for environmental cognition and social communication, involving complex, non-linear multisensory processing of large-scale neuronal activity modulated by attention. However, precise characterization of the underlying AV processing dynamics remains elusive.
Methods: We designed an AV semantic discrimination task to acquire electroencephalogram (EEG) data under attended and unattended conditions.
Eur J Med Res
August 2025
Department of Neurology, The First People's Hospital of Suining, Suining, 629000, Sichuan, China.
Objective: Cognitive dysfunction is one of the main clinical features in patients with cerebral small vessel disease (CSVD). Over time, cognitive decline related to CSVD might evolve into dementia. This study aims to explore the changes in brain functional networks of CSVD patients with cognitive impairment through microstate analysis of resting-state electroencephalogram, and to investigate the association between these changes and cognitive dysfunction.
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