Shantanu Majumdar1, David C. Zhu1, 2
1Department of Radiology, Michigan State University, East Lansing, MI, United States; 2Department of Psychology, Michigan State University, East Lansing, MI, United States
Resting-state fMRI has shown great potential towards understanding the spontaneous brain activity at rest in healthy subjects as well as patients with neurological disorders. A viable clinical tool requires a high level of reproducibility. In this work, we investigated quantitative effects of a wavelet-based analysis of resting-state fMRI signal to improve the reproducibility in detecting functionally active brain regions.