Sensor-Level Wavelet Analysis Reveals EEG Biomarkers of Perceptual Decision-Making.
ambiguous stimuli
beta-band activity
perceptual decision-making
selective attention
top-down processes
Journal
Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366
Informations de publication
Date de publication:
02 Apr 2021
02 Apr 2021
Historique:
received:
23
02
2021
revised:
17
03
2021
accepted:
26
03
2021
entrez:
30
4
2021
pubmed:
1
5
2021
medline:
4
5
2021
Statut:
epublish
Résumé
Perceptual decision-making requires transforming sensory information into decisions. An ambiguity of sensory input affects perceptual decisions inducing specific time-frequency patterns on EEG (electroencephalogram) signals. This paper uses a wavelet-based method to analyze how ambiguity affects EEG features during a perceptual decision-making task. We observe that parietal and temporal beta-band wavelet power monotonically increases throughout the perceptual process. Ambiguity induces high frontal beta-band power at 0.3-0.6 s post-stimulus onset. It may reflect the increasing reliance on the top-down mechanisms to facilitate accumulating decision-relevant sensory features. Finally, this study analyzes the perceptual process using mixed within-trial and within-subject design. First, we found significant percept-related changes in each subject and then test their significance at the group level. Thus, observed beta-band biomarkers are pronounced in single EEG trials and may serve as control commands for brain-computer interface (BCI).
Identifiants
pubmed: 33918223
pii: s21072461
doi: 10.3390/s21072461
pmc: PMC8038130
pii:
doi:
Substances chimiques
Biomarkers
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : Russian Science Foundation
ID : 19-72-10121
Organisme : Russian Foundation for Basic Research
ID : 19-32-60042
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