Affiliations: [a] Department of Biomedical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran | [b] Department of Biomedical Engineering, Faculty of Engineering, Shahed University, Tehran, Iran
Correspondence:
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Corresponding author: Ali Motie Nasrabadi, Department Biomedical Engineerig, Faculty of Engineering, Shahed University, Tehran, Iran. E-mail: [email protected].
Abstract: BACKGROUND: Recognition of sources in the brain and their interaction with mental fatigue states are interesting subjects for researchers. OBJECTIVE: The aim of this study was to investigate the mental fatigue effects on brain areas by dynamic causal modeling (DCM) parameters that are extracted from event-related potential (ERP) signals which were then estimated based on mental fatigue data with visual stimulation. METHODS: ERP were recorded based on a Continuous Performance Task in four consecutive trials. Active regions and brain sources were extracted by a Multiple Sparse Priors algorithm. RESULTS: Four models are proposed for DCM. The parameters and the structure of the best model were obtained by SPM software for ERP in each of the four trials. CONCLUSION: The results illustrate that an increase of mental fatigue through trials leads to increased likelihood of choosing forward models.
