Masoud Seraji

Apr 25, 2024 | biorxiv.org | Masoud Seraji |Charles Ellis |Mohammad S.E. Sendi |Robyn Miller

AbstractA common analysis approach for resting state functional magnetic resonance imaging (rs-fMRI) dynamic functional network connectivity (dFNC) data involves clustering windowed correlation time-series and assigning time windows to clusters (i.e., states) that can be quantified to summarize aspects of the dFNC dynamics. However, those methods can be dominated by a select few features and obscure key dynamics related to less dominant features.

Nov 15, 2023 | biorxiv.org | qiang li |Vince Calhoun |Armin Iraji |Masoud Seraji

AbstractWhen viewing the brain as a sophisticated, nonlinear dynamic system, employing complexity measures offers a valuable way to measure the intricate and dynamic aspects of spontaneous psychotic brain activity. These measures can help us identify irregularities and patterns in complex systems. In our study, we utilized fuzzy recurrence plots and sample entropy to evaluate the dynamic characteristics of psychiatric disorders.