Researchers have developed a novel method for simultaneously acquiring real-time MRI video, electroencephalography (EEG), and surface electromyography (EMG) data during speech production. This multimodal approach captures brain signals, muscle activations, and articulatory movements, presenting significant technical challenges due to MRI interference. An artifact suppression pipeline has been introduced to address these issues, aiming to provide unprecedented insights into speech neuroscience and advance brain-computer interface technology. The associated source code and data are publicly available. AI
IMPACT Enables new research avenues in speech neuroscience and brain-computer interfaces.
RANK_REASON The cluster describes a research paper detailing a new methodology for data acquisition in speech production. [lever_c_demoted from research: ic=1 ai=1.0]
- alphaXiv
- arXiv
- CatalyzeX
- DagsHub
- electroencephalography
- Electromyography
- Gotit.pub
- Hugging Face
- Jihwan Lee
- magnetic resonance imaging
- ScienceCast
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