ArticleCyborg and bionic systems (Washington, D.C.)2024
Neural Correlates of Motor/Tactile Imagery and Tactile Sensation in a BCI paradigm: A High-Density EEG Source Imaging Study.
Article in Cyborg and bionic systems (Washington, D.C.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- The reorganization mechanism of brain functional networks by long term actual exercise and exercise imagination training: spectrum and network topology analysis based on EEG.Journal of neuroengineering and rehabilitation · 2026Trial
- Regulation of Somatosensory Temporal Discrimination Threshold Through Motor Training: An EEG and Kinematics Study.CNS neuroscience & therapeutics · 2025Trial
- Sensory-guided human-machine joint learning accelerates the acquisition of motor imagery brain computer interface control.Nature communications · 2026Article
- A multi-modal parcellation of human globus pallidus and its implications for symptom prediction and stratification in Parkinson's disease.BMC medicine · 2026Article
- Dissecting the shared genetic landscape of schizophrenia and hippocampal subfields: A genome-wide cross-trait analysis.Translational psychiatry · 2026Article
- Hemispheric Asymmetry in the Genetic Overlap between Schizophrenia and White Matter Microstructure.Cyborg and bionic systems (Washington, D.C.) · 2026Article
- A Hybrid Convolutional, Mamba and Spiking Neural Network Architecture Search for Seizure Prediction.Cyborg and bionic systems (Washington, D.C.) · 2026Article
- Sensorimotor Integration by Targeted Priming in Muscles with Electromyography-Driven Electro-vibro-feedback in Robot-Assisted Wrist/Hand Rehabilitation after Stroke.Cyborg and bionic systems (Washington, D.C.) · 2026Article
- Sensorimotor event-related desynchronization and hemodynamic responses during motor and tactile imagery.Brain structure & function · 2025Article
- A novel UNet-SegNet and vision transformer architectures for efficient segmentation and classification in medical imaging.Physical and engineering sciences in medicine · 2025Article
- [Cross-session motor imagery-electroencephalography decoding with Riemannian spatial filtering and domain adaptation].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2025Article
- Tactile exploration and imagery elicit distinct neural dynamics in the parietal cortical network.Frontiers in neuroscience · 2025Article
- High-fidelity steganography in EEG signals using advanced transform-based methods.PeerJ. Computer science · 2025Article
- EEG-based schizophrenia diagnosis using deep learning with multi-scale and adaptive feature selection.PeerJ. Computer science · 2025Article
- Editorial: Computational intelligence for signal and image processing, volume II.Frontiers in computational neuroscience · 2025Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Complementary to brain-computer interface (BCI) based on motor imagery (MI) task, sensory imagery (SI) task provides a way for BCI construction using brain activity from somatosensory cortex. The underlying neurophysiological correlation between SI and MI was unclear and difficult to measure through behavior recording. In this study, we investigated the underlying neurodynamic of motor/tactile imagery and tactile sensation tasks through a high-density electroencephalogram (EEG) recording, and EEG source imaging was used to systematically explore the cortical activation differences and correlations between the tasks. In the experiment, participants were instructed to perform the left and right hand tasks in MI paradigm, sensory stimulation (SS) paradigm and SI paradigm. The statistical results demonstrated that the imagined MI and SI tasks differed from each other within ipsilateral sensorimotor scouts, frontal and right temporal areas in α bands, whereas real SS and imagined SI showed a similar activation pattern. The similarity between SS and SI may provide a way to train the BCI system, while the difference between MI and SI may provide a way to integrate the discriminative information between them to enhance BCI performance. The combination of the tasks and its underlying neurodynamic would provide a new approach for BCI designation for a wider application. BCI studies concentrate on the hybrid decoding method combining MI or SI with SS, but the underlining neurophysiological correlates between them were unclear. MI and SI differed from each other within the ipsilateral sensorimotor cortex in alpha bands. This is a first study to investigate the neurophysiological relationship between MI and SI through an EEG source imaging approach from high-density EEG recording.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.