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We would very much appreciate any thoughts you may have about OpenCME and how it could be made more useful for physicians like you.
Department of Psychiatry
University of Texas Southwestern Medical Center
Dallas
Department of Psychiatry
University of Texas Southwestern Medical Center
Dallas
Department of Psychiatry
Icahn School of Medicine at Mount Sinai
New York
Department of Psychiatry
University of Texas Southwestern Medical Center
Dallas
Department of Psychiatry and Behavioral Sciences
Stanford Neurosciences Institute
Stanford University
Stanford, Calif.
Mental Illness Research, Education, and Clinical Center
Veterans Affairs Palo Alto Health Care System
Palo Alto, Calif.
Department of Psychiatry
University of Texas Southwestern Medical Center
Dallas
Department of Psychiatry
University of Texas Southwestern Medical Center
Dallas
Department of Psychiatry
University of Texas Southwestern Medical Center
Dallas
Department of Psychiatry
University of Texas Southwestern Medical Center
Dallas
Department of Psychiatry
Massachusetts General Hospital
Boston
New York State Psychiatric Institute
Department of Psychiatry
College of Physicians and Surgeons of Columbia University
New York
New York State Psychiatric Institute
Department of Psychiatry
College of Physicians and Surgeons of Columbia University
New York
Department of Psychiatry
University of Michigan School of Medicine
Ann Arbor
Department of Psychiatry and Behavioral Science
Department of Radiology
Stony Brook University
Stony Brook, N.Y.
New York State Psychiatric Institute
Department of Psychiatry
College of Physicians and Surgeons of Columbia University
New York
Department of Psychiatry
University of Pittsburgh School of Medicine
Pittsburgh
Department of Psychiatry and Behavioral Sciences
Stanford Neurosciences Institute
Stanford University
Stanford, Calif.
Mental Illness Research, Education, and Clinical Center
Veterans Affairs Palo Alto Health Care System
Palo Alto, Calif.
Department of Psychiatry
University of Texas Southwestern Medical Center
Dallas
Major depressive disorder is associated with aberrant resting-state functional connectivity across multiple brain networks supporting emotion processing, executive function, and reward processing. The purpose of this study was to determine whether patterns of resting-state connectivity between brain regions predict differential outcome to antidepressant medication (sertraline) compared with placebo.
Credit Types: | CME |
Credit Amount: | 1.00 Credits |
Release Date: | 2020-Feb-01 |
Expiration Date: | 2022-Jan-31 |
Estimated Time for Completion: | 1 hour |
Registration Required: | Yes |
Cost: | $155-$310/yr |
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