Survey
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
Promises and Challenges of Resting State fMRI for Cognitive, Clinical, and Systems Neuroscience Stephen J. Gotts, PhD Laboratory of Brain and Cognition, NIMH/NIH, Bethesda MD Abstract: The past ten years have produced an explosion of fMRI studies of the brain at rest, with many new findings related to the systems-level organization of human brain circuitry, as well as new findings related to the brain bases of clinical and psychiatric disorders such as autism and schizophrenia. Despite a number of attractive advantages, resting-state fMRI also brings with it unique pitfalls related to movement, physiological and MR hardware artifacts, as well as potential variability due to uncontrolled cognitive state. I will discuss recent studies from our lab that illustrate both the potential promise of the approach as well as the challenges in confronting the major sources of artifact. With appropriate pre-processing and analysis steps and the inclusion of independent physiological and behavioral measures, I will argue that the family of artifacts affecting resting-state fMRI can be ameliorated to within tolerable bounds.