Better fMRI?

Technology Review

"Stefan Posse and colleagues at the University of New Mexico are developing new ways to collect and analyze fMRI data that allow them to detect brain activity from a single thought. They've created their highly sensitive imaging methods by taking more pictures in a shorter amount of time and by developing new algorithms to integrate those images and to reduce background noise.

As described in a paper last month in the journal Neuroimage, Posse's team asked eight volunteers lying in a scanner to think of a word beginning with a letter flashed on a screen above their faces. They then recorded the activity in Broca's area, a part of the brain involved in the generation of language."