Abstract #2823

Time-Frequency Dynamics of Resting State Effective Connectivity in the Default Mode Network

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.