MRI pattern recognition to predict cognition

Proposal details

Title: Linear classification of structural and functional MRI data to predict cognition
Research Area(s): Brain Imaging
Background: We have developed a linear classification algorithm that can operate on a voxel-to-voxel level. We have previously used this algorithmic classification to determine clinical status in schizophrenia with high levels of accuracy (85-90 percent).
Aims: To isolate structural and functional spatial correlates of poor/high performance in cognitive testing. Primary hypothesis executive fucntion. Other cognitive domains - secondary analysis.
Method: A linear classification algorithm