Abstract
Recognition of sources in the brain and their interaction with mental fatigue states are interesting subjects for researchers. The aim of this study was to investigate the mental fatigue effects on brain areas by dynamic casual modeling (DCM) parameters that are extracted from event-related potential (ERP) signals which were then estimated based on mental fatigue data with visual stimulation. 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. 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. The results illustrate that an increase of mental fatigue through trials leads to increased likelihood of choosing forward models.
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Schedule a callMore From: Technology and health care : official journal of the European Society for Engineering and Medicine
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