Uncovering speech network using ECoG

Uncovering speech network using ECoG

Most of what is known about the neural processing of language and speech has come from studies involving fMRI, which has good spatial resolution but is limited in temporal resolution.  Because the dynamics and functional connections during speech are difficult to study using fMRI, electrocorticography (ECoG), with its finer temporal resolution, has the potential both to confirm existing theories and to uncover new functional relationships between brain areas. As a start in this direction, we are analyzing functional connectivity in ECoG during out-loud reading.

Main personnel Emily Stephen Funding:
Collaborators Jon Brumberg, Kyle Lepage, Mark Kramer, Uri Eden, Frank Guenther NIH/NIDCD: Neural modeling and imaging in speech