An Approach to Simultaneous Acquisition of Real-Time MRI Video, EEG, and Surface EMG for Articulatory, Brain, and Muscle Activity During Speech Production
#real-time MRI #EEG #surface EMG #speech production #articulatory #brain activity #muscle activity
📌 Key Takeaways
- Researchers developed a method to simultaneously capture real-time MRI, EEG, and surface EMG during speech.
- This allows for integrated analysis of articulatory movements, brain activity, and muscle activation.
- The approach aims to provide a comprehensive view of the speech production process.
- It could advance understanding of speech disorders and neural mechanisms of speech.
📖 Full Retelling
arXiv:2603.04840v1 Announce Type: cross
Abstract: Speech production is a complex process spanning neural planning, motor control, muscle activation, and articulatory kinematics. While the acoustic speech signal is the most accessible product of the speech production act, it does not directly reveal its causal neurophysiological substrates. We present the first simultaneous acquisition of real-time (dynamic) MRI, EEG, and surface EMG, capturing several key aspects of the speech production chain:
🏷️ Themes
Speech Research, Medical Imaging, Neuroscience
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--> Electrical Engineering and Systems Science > Audio and Speech Processing arXiv:2603.04840 [Submitted on 5 Mar 2026] Title: An Approach to Simultaneous Acquisition of Real-Time MRI Video, EEG, and Surface EMG for Articulatory, Brain, and Muscle Activity During Speech Production Authors: Jihwan Lee , Parsa Razmara , Kevin Huang , Sean Foley , Aditya Kommineni , Haley Hsu , Woojae Jeong , Prakash Kumar , Xuan Shi , Yoonjeong Lee , Tiantian Feng , Takfarinas Medani , Ye Tian , Sudarsana Reddy Kadiri , Krishna S. Nayak , Dani Byrd , Louis Goldstein , Richard M. Leahy , Shrikanth Narayanan View a PDF of the paper titled An Approach to Simultaneous Acquisition of Real-Time MRI Video, EEG, and Surface EMG for Articulatory, Brain, and Muscle Activity During Speech Production, by Jihwan Lee and 18 other authors View PDF HTML Abstract: Speech production is a complex process spanning neural planning, motor control, muscle activation, and articulatory kinematics. While the acoustic speech signal is the most accessible product of the speech production act, it does not directly reveal its causal neurophysiological substrates. We present the first simultaneous acquisition of real-time MRI, EEG, and surface EMG, capturing several key aspects of the speech production chain: brain signals, muscle activations, and articulatory movements. This multimodal acquisition paradigm presents substantial technical challenges, including MRI-induced electromagnetic interference and myogenic artifacts. To mitigate these, we introduce an artifact suppression pipeline tailored to this tri-modal setting. Once fully developed, this framework is poised to offer an unprecedented window into speech neuroscience and insights leading to brain-computer interface advances. Subjects: Audio and Speech Processing (eess.AS) ; Artificial Intelligence (cs.AI); Computation and Language (cs.CL) Cite as: arXiv:2603.04840 [eess.AS] (or arXiv:2603.04840v1 [eess.AS] for this version) https://doi.org/10.48550/arXiv.26...
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