Gopikrishna Deshpande1, 2, Hao Jia3, Zhihao Li4, Xiaoping Hu5
1AU MRI research center, Dept. of ECE, Auburn University, Auburn, AL, United States; 2Dept. of Psychology, Auburn University, Auburn, AL, United States; 3AU MRI research center, Dept. of ECE, Auburn University, Auburn, AL, United States; 4Coulter Dept of Biomedical Engineering, Georgia Institute of Technology and Emory University , Atlanta, GA, United States; 5Coulter Dept of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, United States
Functional connectivity in resting state networks show dynamic patterns in time and frequency.We hypothesized that effective connectivity between resting state fMRI time series may also dynamically evolve across time and frequency. We obtained effective connectivity between 33 regions in 4 RSNs as a function of time and frequency using dynamic multiscale vector autoregressive model based on Kalman filter. We observed that in the 0.1 to 0.01 Hz frequency range, RSNs toggle between 5 distinct states.