Protocol to perform offline ECoG brain-to-text decoding for natural tonal sentences
Here, we present a protocol to decode Mandarin sentences from invasive neural recordings using a brain-to-text framework. We describe steps for preparing materials, including designing the sentence corpus and setting up electrocorticography (ECoG) recording systems. We then detail procedures for decoding, such as data preprocessing, selection of speech-responsive electrodes, speech detection, syllable and tone decoding, and language modeling. We also outline performance evaluation metrics. For complete details on the use and execution of this protocol, please refer to Zhang et al.<sup>1</sup>.
Authors
- Daohan Zhang
- Junfeng Lu (ORCID: https://orcid.org/0000-0002-6091-5742)
- Zehao Zhao (ORCID: https://orcid.org/0000-0002-7100-4530)
- Yan Liu (ORCID: https://orcid.org/0000-0003-4242-4840)
- Yuanning Li (ORCID: https://orcid.org/0000-0003-3277-0600)
- Zhenjie Wang (ORCID: https://orcid.org/0000-0003-1717-5790)
- Youkun Qian
Institutions
- ShanghaiTech University (CN)
- Huashan Hospital (CN)
Publication Details
- Journal
- STAR Protocols
- Published
- 2025-02-21
- DOI
- https://doi.org/10.1016/j.xpro.2025.103650
- Citations
- 1
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 1.43
Funders
- National Natural Science Foundation of China
- Ministry of Science and Technology of the People's Republic of China
- Shanghai Municipal Education Commission
- Science and Technology Commission of Shanghai Municipality