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Abstract #0003

Resting Functional Connectivity: Potential as a Clinical Marker in Individual Patients

Michael D. Greicius

Stanford University Medical Center, Stanford, CA, USA

Functional MRI currently has few clinical applications. This is due, in part, to the difficulty of using task-activation fMRI in a clinical setting. Resting-state fMRI, which allows for the detection of 15-20 large-scale brain networks, has the potential to overcome some of these clinical limitations. This talk will examine efforts to develop resting-state fMRI biomarkers for several neuropsychiatric disorders including coma, depression and chronic pain. Particular emphasis will be placed on resting-state fMRI as a potential biomarker in Alzheimers disease.