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Brain-Computer Interface Training Enhances Attention Function via Modulating Frontoparietal Connectivity: Evidence
Yuhong Huang1,2, Qian Ding2, Zhenghong Chen3
1Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, No. 106 Zhongshan Road II, Guangzhou, 510080, Guangdong, China, gdghospital.org.cn.
Neural Plasticity
|January 7, 2026
Summary
Brain-computer interface (BCI) training enhances attention networks by optimizing frontoparietal network connectivity, improving executive control function in healthy adults.
Area of Science:
- Neuroscience
- Cognitive Science
- Biomedical Engineering
Background:
- Attention is crucial but impaired in neurological disorders.
- Brain-computer interface (BCI) training shows promise for cognitive enhancement.
- Neural mechanisms of BCI training on attention networks require investigation.
Purpose of the Study:
- Investigate BCI training effects on attention in healthy young adults.
- Elucidate the neural mechanisms underlying BCI-mediated attention improvements.
- Examine alterations in brain activation and connectivity post-BCI training.
Main Methods:
- Thirty healthy young adults participated.
- Attention Network Test (ANT) assessed attention function.
- Functional near-infrared spectroscopy (fNIRS) measured brain activity and connectivity.
- Assessments were conducted pre- and post-BCI training.
Main Results:
- BCI training significantly improved executive control network efficiency (p=0.016).
- Decreased nodal efficiency in the right posterior parietal cortex (PPC) was observed (p=0.044).
- Altered effective connectivity (EC) was found in frontoparietal networks (FPNs) during resting and task states.
Conclusions:
- BCI training optimizes FPN connectivity, enhancing executive control.
- BCI training emerges as a potential cognitive intervention for FPN function.
- Future research should explore long-term BCI effects and clinical applications.
