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Letting the brain connect directly to machines: Innovations and challenges of bimodal neural probes
- 1 University of Liverpool
* Author to whom correspondence should be addressed.
Abstract
In recent years, the development of Bimodal Neural Probes has brought unprecedented breakthroughs to Brain-Computer Interfaces (BCI) and neuroscience research. Traditional neural probes can only record either the brain's electrical signals or the chemical signals of neurotransmitters, but bimodal probes enable the simultaneous acquisition and integration of both, allowing scientists to better understand neuronal interactions. This technology's core innovation lies in integrating Microelectrode Arrays (MEA) and Microfluidic Channels, ensuring high temporal and spatial alignment for more accurate neural signal decoding. This study explores the applications of bimodal neural probes in learning enhancement, motor recovery for paralyzed patients, Parkinson’s disease treatment, and epilepsy prediction, demonstrating their potential in neurological disease diagnosis, BCI optimization, and human-machine interaction through experimental case studies. Additionally, we analyze how key material innovations, such as graphene, polymer PI/PDMS, and PEDOT, enhance the probe's sensitivity, flexibility, and long-term stability while proposing future technological optimizations. Despite their promising prospects, widespread application faces challenges related to ethics, safety, and cost, which we address by proposing key feasibility recommendations, including establishing neural data security regulations to prevent misuse, reducing manufacturing costs through mass production and material optimization, conducting long-term biocompatibility testing to ensure stability, and developing fair-use guidelines to prevent social inequalities. Ultimately, this study highlights the significant contributions of bimodal neural probes to BCI technology and neuroscience while emphasizing the importance of responsible technological advancement. With improvements in manufacturing processes and increasing clinical applications, we believe bimodal neural probes will revolutionize human-brain interactions, profoundly impacting medicine, neurorehabilitation, and artificial intelligence.
Keywords
Bimodal Neural Probe,Brain-Computer Interface,Neuroscience,Human-Computer Interaction
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Cite this article
He,M. (2025). Letting the brain connect directly to machines: Innovations and challenges of bimodal neural probes. Advances in Engineering Innovation,16(1),56-68.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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