Prefrontal Internal Event‐Driven Analysis of Dynamical Electroencephalographic Biomarkers in Depression During Emotional Auditory Task
Our study confirmed the effectiveness of the framework in resolving fine-grained internal event-driven neural processes without relying on traditional precise event-related data acquisision paradigms that often require high attention on the task events and causes high cognitive load. Our study present new insights for identifying dynamical electroencephalographic biomarkers in depression, which potentially provide EEG signal decoding solutions for EEG feedback-based closed-loop intervention of depression.
Authors
- Mingqi Zhao (ORCID: https://orcid.org/0000-0002-2804-9565)
- Qinglin Zhao (ORCID: https://orcid.org/0000-0001-5690-666X)
- Bin Hu (ORCID: https://orcid.org/0000-0003-3514-5413)
- Lixin Zhang (ORCID: https://orcid.org/0000-0002-4789-238X)
- Hua Jiang (ORCID: https://orcid.org/0000-0002-8525-8080)
- Kunbo Cui (ORCID: https://orcid.org/0000-0003-3105-5779)
- Zhongqing Wu (ORCID: https://orcid.org/0000-0001-9301-146X)
Institutions
- Beijing Institute of Technology (CN)
- Chinese Academy of Sciences (CN)
- Center for Excellence in Brain Science and Intelligence Technology (CN)
- Shanghai Institutes for Biological Sciences (CN)
- Institute of Semiconductors (CN)
- Lanzhou University (CN)
Publication Details
- Journal
- CNS Neuroscience & Therapeutics
- Published
- 2025-04-01
- DOI
- https://doi.org/10.1111/cns.70382
- Citations
- 4
- Primary Topic
- Functional Brain Connectivity Studies
- Type
- article
- Field-Weighted Citation Impact
- 5.72
Funders
- National Natural Science Foundation of China
- Ministry of Science and Technology of the People's Republic of China
- National Key Research and Development Program of China
- Fundamental Research Funds for the Central Universities