• Neural correlation between swa...

Treffer: Neural correlation between swallowing motor imagery and execution: an EEG analysis.

Title:
Neural correlation between swallowing motor imagery and execution: an EEG analysis.
Authors:
Qiu X; Department of Rehabilitation, The First Affiliated Hospital of Fujian Medical University, Fuzhou, People's Republic of China.; Department of Rehabilitation, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, People's Republic of China., Wang ZY; Department of Rehabilitation, The First Affiliated Hospital of Fujian Medical University, Fuzhou, People's Republic of China.; Department of Rehabilitation, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, People's Republic of China., Jiang XH; Academy of Medical Engineering and Translational Medicine, Medical School, Faculty of Medicine, Tianjin University, Tianjin, People's Republic of China.; Haihe Laboratory of Brain-Computer Interaction and Human-Machine Integration, Tianjin, People's Republic of China., Zhao HB; Academy of Medical Engineering and Translational Medicine, Medical School, Faculty of Medicine, Tianjin University, Tianjin, People's Republic of China.; Haihe Laboratory of Brain-Computer Interaction and Human-Machine Integration, Tianjin, People's Republic of China., Yan ZP; Department of Rehabilitation, The First Affiliated Hospital of Fujian Medical University, Fuzhou, People's Republic of China.; Department of Rehabilitation, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, People's Republic of China., Li KH; Department of Rehabilitation, The First Affiliated Hospital of Fujian Medical University, Fuzhou, People's Republic of China.; Department of Rehabilitation, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, People's Republic of China., Zhang L; Academy of Medical Engineering and Translational Medicine, Medical School, Faculty of Medicine, Tianjin University, Tianjin, People's Republic of China.; Haihe Laboratory of Brain-Computer Interaction and Human-Machine Integration, Tianjin, People's Republic of China., Chen L; Academy of Medical Engineering and Translational Medicine, Medical School, Faculty of Medicine, Tianjin University, Tianjin, People's Republic of China.; Haihe Laboratory of Brain-Computer Interaction and Human-Machine Integration, Tianjin, People's Republic of China., Meng L; Academy of Medical Engineering and Translational Medicine, Medical School, Faculty of Medicine, Tianjin University, Tianjin, People's Republic of China.; Haihe Laboratory of Brain-Computer Interaction and Human-Machine Integration, Tianjin, People's Republic of China., Ni J; Department of Rehabilitation, The First Affiliated Hospital of Fujian Medical University, Fuzhou, People's Republic of China.; Department of Rehabilitation, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, People's Republic of China.; Rehabilitation Medicine Physicians Branch of Fujian Medical Doctor Association, Fuzhou, People's Republic of China.
Source:
Journal of neural engineering [J Neural Eng] 2026 Jan 07; Vol. 23 (1). Date of Electronic Publication: 2026 Jan 07.
Publication Type:
Journal Article
Language:
English
Journal Info:
Publisher: Institute of Physics Pub Country of Publication: England NLM ID: 101217933 Publication Model: Electronic Cited Medium: Internet ISSN: 1741-2552 (Electronic) Linking ISSN: 17412552 NLM ISO Abbreviation: J Neural Eng Subsets: MEDLINE
Imprint Name(s):
Original Publication: Bristol, U.K. : Institute of Physics Pub., 2004-
MeSH Terms:
Deglutition*/physiology , Electroencephalography*/methods , Imagination*/physiology , Brain-Computer Interfaces*, Humans ; Male ; Female ; Adult ; Young Adult ; Electromyography/methods
Contributed Indexing:
Keywords: EEG analysis; brain–computer interface; neural correlation; swallowing motor execution; swallowing motor imagery
Entry Date(s):
Date Created: 20251210 Date Completed: 20260107 Latest Revision: 20260107
Update Code:
20260107
DOI:
10.1088/1741-2552/ae2b37
PMID:
41370926
Database:
MEDLINE

Weitere Informationen

Objective. The relationship between swallowing motor imagery (MI) and actual swallowing remains unclear, leading to a lack of physiological basis for the application of swallowing imagery-based brain-computer interface (BCI) paradigms in rehabilitation. This research explored the link between swallowing execution and imagery, aiming to optimize BCI applications for swallowing rehabilitation in patients with dysphagia. Approach. Thirty healthy participants performed swallowing MI and saliva swallowing tasks under video cues, and electroencephalography (EEG) signals from 64 channels and electromyographic (EMG) signals from the suprahyoid muscles were recorded. This study investigates swallowing onset detection using EMG, and explores neural dynamics during swallowing imagery and execution through EEG-based time-frequency analysis, functional connectivity analysis, and nonlinear dynamic analysis (sample entropy (SampEn)). Main Results. The results revealed event-related desynchronization (ERD) in the central region (CPz, CP1-CP4) and parietal region (Pz, P1-P4) for both swallowing MI and actual swallowing. Pearson's correlation analysis indicated a weak but significant correlation ( P = 0.0102). The ERD phenomenon during swallowing imagery was more similar to that during the pharyngeal stage, with a weak but significant correlation ( P = 0.0139). Functional connectivity analysis revealed greater activation of the central region during swallowing imagery than during actual swallowing. In terms of SampEn, swallowing motor execution exhibited higher signal complexity and dynamic characteristics compared to imagery. Significance. This study highlights the similarity in neural activation between swallowing imagery and execution, particularly in the central and parietal regions, supporting the application of the swallowing imagery paradigm in these regions for rehabilitation. Further research is required to enhance BCI applications in swallowing disorders.
(Creative Commons Attribution license.)