One hundred years after the human brain's electrical activity was first recorded, experts are celebrating the legacy of its discovery and sharing their predictions and priorities for its future.
University of LeedsAug 23 2024 One hundred years after the human brain's electrical activity was first recorded, experts are celebrating the legacy of its discovery and sharing their predictions and priorities for its future.
Futuristic innovations The list features an array of fascinating, futuristic innovations that experts believe could be achieved within a generation. This includes using EEG to enhance cognitive performance; early detection of learning disabilities; widespread use as a lie detector; and use as a primary communication tool for those with severe motor disabilities and locked-in syndrome.
One such positive, potential future use of EEG technology could be vigilance control for drivers or pilots. These work-safety systems could assist the user in identifying if they were falling asleep, then wake them up or tell the co-pilot they need to take over." The hardware involved in recording EEG is relatively basic, remaining unchanged – in principle – since it was first used by psychiatrist Hans Berger, in Germany, on July 6, 1924.
Dr Welke said: "Looking ahead to the future: from the hardware side, it's comparatively cheap and easy to produce, and from the analysis and software side, with these new computing technologies, all the puzzle pieces are there to really roll out EEG to a very large user base. "EEG stands out as the most cost-effective and logistically feasible neuroimaging tool for worldwide use across diverse settings. This would help build a neuroscience that is inclusive and representative of the global population.
"There are obvious concerns around cognitive freedom and mental privacy. This feeds back into the importance of 'responsibility' – the fact that new ways of using a technology are also likely to raise new ethical questions." The work was conducted by more than 90 authors, ranging from early career researchers to eminent figures in the field, collectively known as the EEG100 consortium.
Electroencephalography Epilepsy Neuroimaging Neuroscience Personality Disorder Research Technology
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