Theta and Alpha Oscillations in Attentional Interaction during Distracted Driving

Performing multiple tasks simultaneously usually affects the behavioral performance as compared with executing the single task. Moreover, processing multiple tasks simultaneously often involve more cognitive demands. Two visual tasks, lane-keeping task and mental calculation, were utilized to assess...
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Autor*in:	Yu-Kai Wang [verfasserIn] Tzyy-Ping Jung [verfasserIn] Chin-Teng Lin [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2018

Schlagwörter:	electroencephalogram (EEG) dual-task stimulus onset asynchrony (SOA) interactive attention independent component analysis (ICA) theta

Übergeordnetes Werk:	In: Frontiers in Behavioral Neuroscience - Frontiers Media S.A., 2008, 12(2018)
Übergeordnetes Werk:	volume:12 ; year:2018

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3389/fnbeh.2018.00003

Katalog-ID:	DOAJ070897719

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language	English
source	In Frontiers in Behavioral Neuroscience 12(2018) volume:12 year:2018
sourceStr	In Frontiers in Behavioral Neuroscience 12(2018) volume:12 year:2018
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topic_facet	electroencephalogram (EEG) dual-task stimulus onset asynchrony (SOA) interactive attention independent component analysis (ICA) theta Neurosciences. Biological psychiatry. Neuropsychiatry
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container_title	Frontiers in Behavioral Neuroscience
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callnumber-first	R - Medicine
author	Yu-Kai Wang
spellingShingle	Yu-Kai Wang misc RC321-571 misc electroencephalogram (EEG) misc dual-task misc stimulus onset asynchrony (SOA) misc interactive attention misc independent component analysis (ICA) misc theta misc Neurosciences. Biological psychiatry. Neuropsychiatry Theta and Alpha Oscillations in Attentional Interaction during Distracted Driving
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topic_title	RC321-571 Theta and Alpha Oscillations in Attentional Interaction during Distracted Driving electroencephalogram (EEG) dual-task stimulus onset asynchrony (SOA) interactive attention independent component analysis (ICA) theta
topic	misc RC321-571 misc electroencephalogram (EEG) misc dual-task misc stimulus onset asynchrony (SOA) misc interactive attention misc independent component analysis (ICA) misc theta misc Neurosciences. Biological psychiatry. Neuropsychiatry
topic_unstemmed	misc RC321-571 misc electroencephalogram (EEG) misc dual-task misc stimulus onset asynchrony (SOA) misc interactive attention misc independent component analysis (ICA) misc theta misc Neurosciences. Biological psychiatry. Neuropsychiatry
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title	Theta and Alpha Oscillations in Attentional Interaction during Distracted Driving
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title_full	Theta and Alpha Oscillations in Attentional Interaction during Distracted Driving
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title_sort	theta and alpha oscillations in attentional interaction during distracted driving
callnumber	RC321-571
title_auth	Theta and Alpha Oscillations in Attentional Interaction during Distracted Driving
abstract	Performing multiple tasks simultaneously usually affects the behavioral performance as compared with executing the single task. Moreover, processing multiple tasks simultaneously often involve more cognitive demands. Two visual tasks, lane-keeping task and mental calculation, were utilized to assess the brain dynamics through 32-channel electroencephalogram (EEG) recorded from 14 participants. A 400-ms stimulus onset asynchrony (SOA) factor was used to induce distinct levels of attentional requirements. In the dual-task conditions, the deteriorated behavior reflected the divided attention and the overlapping brain resources used. The frontal, parietal and occipital components were decomposed by independent component analysis (ICA) algorithm. The event- and response-related theta and alpha oscillations in selected brain regions were investigated first. The increased theta oscillation in frontal component and decreased alpha oscillations in parietal and occipital components reflect the cognitive demands and attentional requirements as executing the designed tasks. Furthermore, time-varying interactive over-additive (O-Add), additive (Add) and under-additive (U-Add) activations were explored and summarized through the comparison between the summation of the elicited spectral perturbations in two single-task conditions and the spectral perturbations in the dual task. Add and U-Add activations were observed while executing the dual tasks. U-Add theta and alpha activations dominated the posterior region in dual-task situations. Our results show that both deteriorated behaviors and interactive brain activations should be comprehensively considered for evaluating workload or attentional interaction precisely.
abstractGer	Performing multiple tasks simultaneously usually affects the behavioral performance as compared with executing the single task. Moreover, processing multiple tasks simultaneously often involve more cognitive demands. Two visual tasks, lane-keeping task and mental calculation, were utilized to assess the brain dynamics through 32-channel electroencephalogram (EEG) recorded from 14 participants. A 400-ms stimulus onset asynchrony (SOA) factor was used to induce distinct levels of attentional requirements. In the dual-task conditions, the deteriorated behavior reflected the divided attention and the overlapping brain resources used. The frontal, parietal and occipital components were decomposed by independent component analysis (ICA) algorithm. The event- and response-related theta and alpha oscillations in selected brain regions were investigated first. The increased theta oscillation in frontal component and decreased alpha oscillations in parietal and occipital components reflect the cognitive demands and attentional requirements as executing the designed tasks. Furthermore, time-varying interactive over-additive (O-Add), additive (Add) and under-additive (U-Add) activations were explored and summarized through the comparison between the summation of the elicited spectral perturbations in two single-task conditions and the spectral perturbations in the dual task. Add and U-Add activations were observed while executing the dual tasks. U-Add theta and alpha activations dominated the posterior region in dual-task situations. Our results show that both deteriorated behaviors and interactive brain activations should be comprehensively considered for evaluating workload or attentional interaction precisely.
abstract_unstemmed	Performing multiple tasks simultaneously usually affects the behavioral performance as compared with executing the single task. Moreover, processing multiple tasks simultaneously often involve more cognitive demands. Two visual tasks, lane-keeping task and mental calculation, were utilized to assess the brain dynamics through 32-channel electroencephalogram (EEG) recorded from 14 participants. A 400-ms stimulus onset asynchrony (SOA) factor was used to induce distinct levels of attentional requirements. In the dual-task conditions, the deteriorated behavior reflected the divided attention and the overlapping brain resources used. The frontal, parietal and occipital components were decomposed by independent component analysis (ICA) algorithm. The event- and response-related theta and alpha oscillations in selected brain regions were investigated first. The increased theta oscillation in frontal component and decreased alpha oscillations in parietal and occipital components reflect the cognitive demands and attentional requirements as executing the designed tasks. Furthermore, time-varying interactive over-additive (O-Add), additive (Add) and under-additive (U-Add) activations were explored and summarized through the comparison between the summation of the elicited spectral perturbations in two single-task conditions and the spectral perturbations in the dual task. Add and U-Add activations were observed while executing the dual tasks. U-Add theta and alpha activations dominated the posterior region in dual-task situations. Our results show that both deteriorated behaviors and interactive brain activations should be comprehensively considered for evaluating workload or attentional interaction precisely.
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title_short	Theta and Alpha Oscillations in Attentional Interaction during Distracted Driving
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