|Using a mathematical model, researchers in The Netherlands have reconstructed thoughts from data collected from fMRI test subjects - essentially they read the minds of the participants.|
By analysing MRI images of the brain with an elegant mathematical model, researchers from Radboud University Nijmegen have reconstruct thoughts more accurately than ever before. In this way, they have succeeded in determining which letter a test subject was looking at.
The researchers work has been published in the journal Neuroimage.
Functional MRI scanners have been used in cognition research primarily to determine which brain areas are active while test subjects perform a specific task. The question is simple: is a particular brain region on or off? A research group at the Donders Institute for Brain, Cognition and Behaviour at Radboud University has gone a step further: they have used data from the scanner to determine what a test subject is looking at.
The researchers 'taught' a model how small volumes of 2x2x2 mm from the brain scans -- known as voxels -- respond to individual pixels. By combining all the information about the pixels from the voxels, it became possible to reconstruct the image viewed by the subject. The result was not a clear image, but a somewhat fuzzy speckle pattern. In this study, the researchers used hand-written letters.
"Our approach is similar to how we believe the brain itself combines prior knowledge with sensory information. For example, you can recognize the lines and curves in this article as letters only after you have learned to read. And this is exactly what we are looking for: models that show what is happening in the brain in a realistic fashion. We hope to improve the models to such an extent that we can also apply them to the working memory or to subjective experiences such as dreams or visualisations. Reconstructions indicate whether the model you have created approaches reality."
In other words, the researchers claim to be very close to the ability to read your mind with their technique. Such an understanding may also open up the possibility of implanting thoughts, knowledge or, on a more sinister level, control the actions of individuals without their authority.
"In our further research we will be working with a more powerful MRI scanner," explains Sanne Schoenmakers, who is working on a thesis about decoding thoughts. "Due to the higher resolution of the scanner, we hope to be able to link the model to more detailed images. We are currently linking images of letters to 1200 voxels in the brain; with the more powerful scanner we will link images of faces to 15,000 voxels."
SOURCE Radboud University Nijmegen
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