Armin Iraji

1 month ago | biorxiv.org | Noah Lewis |Armin Iraji |Robyn Miller |Vince Calhoun

AbstractThe estimation of brain networks is instrumental in quantifying and evaluating brain function. Nevertheless, achieving precise estimations of subject-level networks has proven to be a formidable task. In response to this challenge, researchers have developed group-inference frameworks that leverage robust group-level estimations as a common reference point to infer corresponding subject-level networks.

Nov 4, 2024 | biorxiv.org | Sir-Lord Wiafe |Spencer Kinsey |Armin Iraji |Robyn Miller

AbstractOur study advances the application of dynamic time warping (DTW) as a functional connectivity measure by introducing a normalization technique which enhances the detection of schizophrenia effects in comparison to both standard DTW and traditional correlation methods.

Aug 6, 2024 | psiquiatria.com | Armin Iraji |Jia Yu

La investigación sobre la esquizofrenia ha revelado diferencias de género significativas en cuanto a incidencia, síntomas, factores de riesgo genéticos y función cerebral. A pesar de estos hallazgos, aún existe una brecha de conocimiento considerable sobre las alteraciones de la función cerebral específicas de cada sexo. La esquizofrenia es considerada un síndrome de disconectividad, pero la comprensión de la integración dinámica y la segregación de las redes cerebrales es limitada.

Nov 28, 2023 | biorxiv.org | qiang li |Vince Calhoun |Armin Iraji

AbstractFunctional correspondences are known to exist within the brains of both human and non-human primates; however, our understanding of this phenomenon remains largely incomplete. The examination of the topological characteristics inherent in whole-brain functional connectivity bears immense promise in elucidating shared as well as distinctive patterns across different species.

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.