Advanced Brain Computer Interface

There is a terrible syndrome that may affect patients suffering from ALS, Amyotrophic Lateral Scleroses, the lock in syndrome. These patients completely lose the possibility to communicate. The ALS, as it progresses, leads to a paralyses of the muscles and even the limited communications that is maintained by using eye movements to point at characters on a computer screen is lost.
At the Wyss Center for Bio and Neuroengineering in Geneva a team of researchers have found a way to unlock these patients (at least in a crude form) letting them communicate by thinking Yes or No. Even these basic form of communications is not feasible using the detection of electrical signals. Today’s technology is able to correlate brain electrical activity to movement "intention", and BCI (Brain Computer Interfaces) based on this are now becoming common. 
Researchers have used fNIRS, functional Near-Infrared Spectroscopy, to measure the use of oxygen in the frontal lobes of the brain and have been able to correlated this with the thinking of "Yes" or "No".
Notice that even for this very simple communications the measured accuracy is around 70% (which is just slightly better, although significative, then a random 50% since there are only two possible choices). By repeating the questions and creating sets of questions it is possible to become almost certain of the intention of the patient. Interesting, and unexpected, at least for me, is that several patients when asked if they were happy responded "Yes".
The "unlocking" is the first step for trying more effective ways of helping these patients and so far nothing has worked. In this sense it is a great step forward although we can fully appreciate how limited such a communications is (depending on the questions posed).
This news also illustrates how rudimentary is our capability to "read" thoughts in a brain. There are progresses being made but they are extremely slow.

About Roberto Saracco

Roberto Saracco fell in love with technology and its implications long time ago. His background is in math and computer science. Until April 2017 he led the EIT Digital Italian Node and then was head of the Industrial Doctoral School of EIT Digital up to September 2018. Previously, up to December 2011 he was the Director of the Telecom Italia Future Centre in Venice, looking at the interplay of technology evolution, economics and society. At the turn of the century he led a World Bank-Infodev project to stimulate entrepreneurship in Latin America. He is a senior member of IEEE where he leads the New Initiative Committee and co-chairs the Digital Reality Initiative. He is a member of the IEEE in 2050 Ad Hoc Committee. He teaches a Master course on Technology Forecasting and Market impact at the University of Trento. He has published over 100 papers in journals and magazines and 14 books.