DSCnet: detection of drug and alcohol addiction mechanisms based on multi-angle feature learning from the hybrid representation of EEG

These results outperform existing models and demonstrate a balanced performance across both datasets, highlighting DSCnet's potential in addiction detection.

Authors

Hui Huang (ORCID: https://orcid.org/0000-0002-9119-954X)
Xiaorui Zheng (ORCID: https://orcid.org/0000-0002-8668-7135)
Minmin Shao
Q.L. Ye
Xian Chen (ORCID: https://orcid.org/0000-0002-3044-1363)
Jing Wu (ORCID: https://orcid.org/0000-0001-8619-566X)
Nan Zhang (ORCID: https://orcid.org/0000-0001-9620-5665)

Institutions

Wenzhou University (CN)
Wenzhou Central Hospital (CN)
Wenzhou Municipal Sci-Tech Bureau (CN)
Wenzhou Polytechnic (CN)
International Drug Development (FR)

Publication Details

Journal: Frontiers in Neuroscience
Published: 2025-06-18
DOI: https://doi.org/10.3389/fnins.2025.1607248
Citations: 2
Primary Topic: EEG and Brain-Computer Interfaces
Type: article
Field-Weighted Citation Impact: 2.86

Funders

National Natural Science Foundation of China
Science and Technology Plan Project of Wenzhou, China

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article

DSCnet: detection of drug and alcohol addiction mechanisms based on multi-angle feature learning from the hybrid representation of EEG

Hui Huang, Xiaorui Zheng, Minmin Shao, Q.L. Ye et al.

Jun 18, 2025

2 citations

Frontiers in Neuroscience

EEG and Brain-Computer Interfaces

2.86

article

DSCnet: detection of drug and alcohol addiction mechanisms based on multi-angle feature learning from the hybrid representation of EEG

Hui Huang, Xiaorui Zheng, Minmin Shao, Q.L. Ye, Xian Chen, Jing Wu, Nan Zhang

June 18, 2025article en

2 citations

Abstract

These results outperform existing models and demonstrate a balanced performance across both datasets, highlighting DSCnet's potential in addiction detection.

Frontiers in NeuroscienceVol. 19

Wenzhou University (CN), Wenzhou Central Hospital (CN), Wenzhou Municipal Sci-Tech Bureau (CN), Wenzhou Polytechnic (CN), International Drug Development (FR)

National Natural Science Foundation of China, Science and Technology Plan Project of Wenzhou, China

Good health and well-being

Openalex Percentile: Top 10%

EEG and Brain-Computer Interfaces

2.86

DOI Open Access PDF OpenAlex

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DSCnet: detection of drug and alcohol addiction mechanisms based on multi-angle feature learning from the hybrid representation of EEG — Hui Huang, Xiaorui Zheng, et al. · Frontiers in Neuroscience (2025) | TGRS Research Map | TGRS