Sensor-Level Wavelet Analysis Reveals EEG Biomarkers of Perceptual Decision-Making

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...

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Published inSensors (Basel, Switzerland) Vol. 21; no. 7; p. 2461
Main Authors Kuc, Alexander, Grubov, Vadim V., Maksimenko, Vladimir A., Shusharina, Natalia, Pisarchik, Alexander N., Hramov, Alexander E.
Format Journal Article
LanguageEnglish
Published Switzerland MDPI AG 02.04.2021
MDPI
Subjects
Ambiguity
ambiguous stimuli
beta-band activity
Biomarkers
Calibration
Decision Making
Electroencephalography
Experiments
perceptual decision-making
selective attention
top-down processes
Wavelet Analysis
perceptual decision-making
beta-band activity
top-down processes
selective attention
ambiguous stimuli
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Abstract 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).
AbstractList 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).
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).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).
Author Shusharina, Natalia
Kuc, Alexander
Pisarchik, Alexander N.
Grubov, Vadim V.
Maksimenko, Vladimir A.
Hramov, Alexander E.
AuthorAffiliation 1 Neuroscience and Cognitive Technology Laboratory, Center for Technologies in Robotics and Mechatronics Components, Innopolis University, Universitetskaya Str. 1, 420500 Innopolis, Russia; kuc1995@mail.ru (A.K.); v.grubov@innopolis.ru (V.V.G.); v.maksimenko@innopolis.ru (V.A.M.); alexander.pisarchik@ctb.upm.es (A.N.P.)
2 Institute of Information Technologies, Mathematics and Mechanics, Lobachevsky State University of Nizhny Novgorod, 603950 Nizhny Novgorod, Russia
3 School of Life Sciences, Immanuel Kant Baltic Federal University, 236016 Kaliningrad, Russia; nnshusharina@gmail.com
4 Centre for Biomedical Technology, Universidad Politécnica de Madrid, 28040 Madrid, Spain
5 Saratov State Medical University, Bolshaya Kazachya Str. 112, 410012 Saratov, Russia
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Keywords perceptual decision-making
beta-band activity
top-down processes
selective attention
ambiguous stimuli
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Snippet Perceptual decision-making requires transforming sensory information into decisions. An ambiguity of sensory input affects perceptual decisions inducing...
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SubjectTerms Ambiguity
ambiguous stimuli
beta-band activity
Biomarkers
Calibration
Decision Making
Electroencephalography
Experiments
perceptual decision-making
selective attention
top-down processes
Wavelet Analysis
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Title Sensor-Level Wavelet Analysis Reveals EEG Biomarkers of Perceptual Decision-Making
URI https://www.ncbi.nlm.nih.gov/pubmed/33918223
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Volume 21
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