Comparing individual and group-level simulated neurophysiological brain connectivity using the Jansen and Rit neural mass model.

ABSTRACT: Computational models are often used to assess how functional connectivity (FC) patterns emerge from neuronal population dynamics and anatomical brain connections. It remains unclear whether the commonly used group-averaged data can predict individual FC patterns. The Jansen and Rit neural mass model was employed, where masses were coupled using individual structural connectivity (SC). Simulated FC was correlated to individual magnetoencephalography-derived empirical FC. FC was estimated using phase-based (phase lag index (PLI), phase locking value (PLV)), and amplitude-based (amplitude envelope correlation (AEC)) metrics to analyze their goodness of fit for individual predictions. Individual FC predictions were compared against group-averaged FC predictions, and we tested whether SC of a d

SUBMITTER: Kulik SD 

PROVIDER: S-EPMC10473283 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature