Decoding Selective Attention and Cognitive Control Processing through the Stroop Interference Effect: An Event-Related Electroencephalography-Derived Study
Journal Title: The 2nd Annual Meeting of International Center for Neuroscience Research - Year 2021, Vol 2, Issue 1
Abstract
Background: The process of cognitive control and resultant selective attention constructs the very shared root of a continuum of neurocognitive functions. Efficient inhibition of the task-irrelevant information and unwanted attributes have been evaluated through a variety of paradigms. Stroop tasks in different forms could provide a platform for detection of the state of this type of inhibition and selective attention. Computational modeling of the electroencephalography (EEG) signals associated with attentional control could provide an essential complement to the investigations of this discipline. Method: 96 trials of three-condition Color-Word Stroop task performed while recording EEG. All subjects were right-handed (20-25 years) and half of them were male. Three-condition signal epochs were redefined as two conditions: 1) Differentiated Incongruent epochs (DIe): which are incongruent epochs that their equivalent congruent epochs are subtracted from. 2) Neutral epochs, intervals of 150-300ms and 350-500ms post-stimulus were extracted. Preprocessed data were then analyzed, and the whole EEG epoch was considered as the variable to be compared between conditions. An acceptably fitted Support vector machine (SVM) algorithm classified the data. Results: For each individual, the comparison was performed regarding DIe and neutral epochs for two intervals (150-300 and 350-500). The SVM classification method provided acceptable accuracies between 59-65 % for the 150-300 interval and 65-70 % for the second interval, within individuals. Regarding frequency domain assessments, the Delta frequency band for these two intervals did not show any significant difference between the two conditions. Conclusion: The SVM models perform better for the late event-related epoch (350-500) classification, hence selective attention related features were more significant in this temporal interval.
Authors and Affiliations
Razieh Kamali*, Mohammadreza Alizadeh, Lida Shafaghi
Keywords
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