ArticleNeuroImage2020
Functional disconnection of associative cortical areas predicts performance during BCI training.
Article in NeuroImage, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Effects of brain-computer interface-based rehabilitation on lower limb function and activities of daily living after stroke: a systematic review and meta-analysis.Frontiers in neurologyPooled it
- Motor imagery-based neurofeedback in older adults: neural signatures and feasibility in a randomized controlled trial targeting age-related cognitive decline.Journal of neuroengineering and rehabilitation · 2026Trial
- EEG decoding with spatiotemporal convolutional neural network for visualization and closed-loop control of sensorimotor activities: A simultaneous EEG-fMRI study.Human brain mapping · 2024Article
- Article
- Examining Neural Connectivity in Schizophrenia Using Task-Based EEG: A Graph Theory Approach.Sensors (Basel, Switzerland) · 2023Article
- High-density scalp electroencephalogram dataset during sensorimotor rhythm-based brain-computer interfacing.Scientific data · 2023Article
- Mapping and decoding cortical engagement during motor imagery, mental arithmetic, and silent word generation using MEG.Human brain mapping · 2023Article
- Anesthetic modulations dissociate neuroelectric characteristics between sensory-evoked and spontaneous activities across bilateral rat somatosensory cortical laminae.Scientific reports · 2022Article
- The effect of visual and proprioceptive feedback on sensorimotor rhythms during BCI training.PloS one · 2022Article
- Deep Neural Regression Prediction of Motor Imagery Skills Using EEG Functional Connectivity Indicators.Sensors (Basel, Switzerland) · 2021Article
- Relative Power Correlates With the Decoding Performance of Motor Imagery Both Across Time and Subjects.Frontiers in human neuroscience · 2021Article
- Effects of Frontal Theta Rhythms in a Prior Resting State on the Subsequent Motor Imagery Brain-Computer Interface Performance.Frontiers in neuroscience · 2021Article
- Gymnasts' Ability to Modulate Sensorimotor Rhythms During Kinesthetic Motor Imagery of Sports Non-specific Movements Superior to Non-gymnasts.Frontiers in sports and active living · 2021Article
- Regression Networks for Neurophysiological Indicator Evaluation in Practicing Motor Imagery Tasks.Brain sciences · 2020Article
- Neuronal avalanches as a predictive biomarker for guiding tailored BCI training programs.Imaging neuroscience (Cambridge, Mass.)Article
- Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
Brain-computer interfaces (BCIs) have been largely developed to allow communication, control, and neurofeedback in human beings. Despite their great potential, BCIs perform inconsistently across individuals and the neural processes that enable humans to achieve good control remain poorly understood. To address this question, we performed simultaneous high-density electroencephalographic (EEG) and magnetoencephalographic (MEG) recordings in a motor imagery-based BCI training involving a group of healthy subjects. After reconstructing the signals at the cortical level, we showed that the reinforcement of motor-related activity during the BCI skill acquisition is paralleled by a progressive disconnection of associative areas which were not directly targeted during the experiments. Notably, these network connectivity changes reflected growing automaticity associated with BCI performance and predicted future learning rate. Altogether, our findings provide new insights into the large-scale cortical organizational mechanisms underlying BCI learning, which have implications for the improvement of this technology in a broad range of real-life applications.
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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.