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.
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