Scientists have now worked on and created a new technology that could help convert thoughts into actions by transforming measurements of brain activity to signals that drive physical devices.
The study suggests that the signal-to-noise ratio of the brain activity underlying our thoughts can be remastered as well.
In the recent study, Stephen LaConte, an assistant professor at the Virginia Tech Carilion Research Institute and his colleagues used whole-brain, classifier-based real-time functional magnetic resonance imaging to understand the neural underpinnings of brain-computer interface control.
The scientists discovered a feedback effect that LaConte said he had long suspected existed but had found elusive: the subjects who were in control of the needle achieved a better whole-brain signal-to-noise ratio than those who simply watched the needle move.
The scientists also found that the act of controlling the computer-brain interface led to an increased classification accuracy, which corresponded with improvements in the whole-brain signal-to-noise ratio.
This enhanced signal-to-noise ratio, LaConte added, carries implications for brain rehabilitation.
The study has been published in the Proceedings of the National Academy of Sciences.