EEG analysis of speaking and quiet states during different emotional music stimuli
Under the stimulation of music with different emotions, there are certain differences in EEG between speaking and resting states. In the construction of EEG classification models, the classification performance of deep neural network algorithms is superior to other machine learning algorithms.
Authors
- Li Hu (ORCID: https://orcid.org/0009-0009-3554-807X)
- Zhenyang Cai (ORCID: https://orcid.org/0009-0000-7538-6321)
- Laurent Peyrodie (ORCID: https://orcid.org/0000-0001-6602-9584)
- Xiaohui Wu (ORCID: https://orcid.org/0000-0003-0356-7785)
- Zefeng Wang (ORCID: https://orcid.org/0000-0002-7255-055X)
- Xianwei Lin
- Guang-Yu Xie
- Zihan Zhang (ORCID: https://orcid.org/0009-0006-7530-9127)
Institutions
- Beijing University of Chinese Medicine (CN)
- Université Catholique de Lille (FR)
- Huzhou Normal University (CN)
Publication Details
- Journal
- Frontiers in Neuroscience
- Published
- 2025-02-03
- DOI
- https://doi.org/10.3389/fnins.2025.1461654
- Citations
- 3
- Primary Topic
- Neuroscience and Music Perception
- Type
- article
- Field-Weighted Citation Impact
- 4.29
Funders
- Zhejiang University