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- Title
Effective connectivity of mental fatigue: Dynamic causal modeling of EEG data.
- Authors
Hosseini, Ghazaleh Sadat; Nasrabadi, Ali Motie
- Abstract
<bold>Background: </bold>Recognition of sources in the brain and their interaction with mental fatigue states are interesting subjects for researchers.<bold>Objective: </bold>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.<bold>Methods: </bold>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.<bold>Results: </bold>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.<bold>Conclusion: </bold>The results illustrate that an increase of mental fatigue through trials leads to increased likelihood of choosing forward models.
- Subjects
MENTAL fatigue; ELECTROENCEPHALOGRAPHY; EVOKED potentials (Electrophysiology); AFFERENT pathways; NEUROLOGICAL disorders
- Publication
Technology & Health Care, 2019, Vol 27, Issue 4, p343
- ISSN
0928-7329
- Publication type
journal article
- DOI
10.3233/THC-181480