Reliability of dynamic causal modelling of resting state magnetoencephalography
A. Jafarian, M. K. Assem, E. Ece Kocagoncu, J. H. Lanskey, R. Williams, Y.-J. Cheng, A. J. Quinn, J. Pitt, V. Raymont, S. Lowe, S. Lowe, K. D. Singh, M. W. Woolrich, A. C. Nobre, R. N. Henson, , J. Rowe
This study evaluates the reliability of dynamic causal modelling of resting-state MEG data using conductance-based models, showing high predictive validity and consistency across sessions.
bioRxiv · Oct 16, 2023 · PreprintBiophysics