Why the study?
The study investigated the use of multimodal functional neuroimaging to detect mental stress on the prefrontal cortex.
Does decision fusion of EEG and fNIRS improve the detection rate of mental stress compared to single modalities?
Does decision fusion of EEG and fNIRS improve the detection rate of mental stress compared to single modalities?
Combining EEG and fNIRS signals through decision fusion significantly improves the detection of mental stress compared to using either modality alone.
Answers are grounded in this paper and cite their sources.
Supports feasibility of EEG-fNIRS fusion for PFC stress detection; leaves open clinical validation and utility.
In this study, we investigated the use of multimodal functional neuroimaging in detecting mental stress on the prefrontal cortex (PFC). We recorded Electroencephalography (EEG) and functional Near Infrared Spectroscopy (fNIRS) simultaneously from 20-subjects performing mental arithmetic task under control and stress conditions. Stress was induced in this study based on two established stressors – time pressure and negative feedback about peer performance. We explored decision fusion by using support vector machine classifier for each modality, and optimizing the classifiers based on Receiver Operating Characteristic (ROC) curve values. Experiment results revealed significant reduction in alpha rhythm and mean change in concentration of oxygenated hemoglobin at PFC when stressed, p<0.001 and 0.0001 respectively. The decision fusion improved significantly the detection rate of mental stress by +7.76% and +10.57%, when compared to sole modality of EEG and fNIRS, respectively.
No takes yet. Share an insight, caveat, or question.
Fares Al-Shargie (2019) studied this question.
Synapse has enriched 8 closely related papers on similar clinical questions. Consider them for comparative context: