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Neural Interactions in a Spatially-Distributed Cortical Network During Perceptual Decision-Making

Behavioral experiments evidence that attention is not maintained at a constant level, but fluctuates with time. Recent studies associate such fluctuations with dynamics of attention-related cortical networks, however the exact mechanism remains unclear. To address this issue, we consider functional...

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Autores principales: Maksimenko, Vladimir A., Frolov, Nikita S., Hramov, Alexander E., Runnova, Anastasia E., Grubov, Vadim V., Kurths, Jürgen, Pisarchik, Alexander N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6769171/
https://www.ncbi.nlm.nih.gov/pubmed/31607873
http://dx.doi.org/10.3389/fnbeh.2019.00220
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author Maksimenko, Vladimir A.
Frolov, Nikita S.
Hramov, Alexander E.
Runnova, Anastasia E.
Grubov, Vadim V.
Kurths, Jürgen
Pisarchik, Alexander N.
author_facet Maksimenko, Vladimir A.
Frolov, Nikita S.
Hramov, Alexander E.
Runnova, Anastasia E.
Grubov, Vadim V.
Kurths, Jürgen
Pisarchik, Alexander N.
author_sort Maksimenko, Vladimir A.
collection PubMed
description Behavioral experiments evidence that attention is not maintained at a constant level, but fluctuates with time. Recent studies associate such fluctuations with dynamics of attention-related cortical networks, however the exact mechanism remains unclear. To address this issue, we consider functional neuronal interactions during the accomplishment of a reaction time (RT) task which requires sustained attention. The participants are subjected to a binary classification of a large number of presented ambiguous visual stimuli with different degrees of ambiguity. Generally, high ambiguity causes high RT and vice versa. However, we demonstrate that RT fluctuates even when the stimulus ambiguity remains unchanged. The analysis of neuronal activity reveals that the subject's behavioral response is preceded by the formation of a distributed functional network in the β-frequency band. This network is characterized by high connectivity in the frontal cortex and supposed to subserve a decision-making process. We show that neither the network structure nor the duration of its formation depend on RT and stimulus ambiguity. In turn, RT is related to the moment of time when the β-band functional network emerges. We hypothesize that RT is affected by the processes preceding the decision-making stage, e.g., encoding visual sensory information and extracting decision-relevant features from raw sensory information.
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spelling pubmed-67691712019-10-11 Neural Interactions in a Spatially-Distributed Cortical Network During Perceptual Decision-Making Maksimenko, Vladimir A. Frolov, Nikita S. Hramov, Alexander E. Runnova, Anastasia E. Grubov, Vadim V. Kurths, Jürgen Pisarchik, Alexander N. Front Behav Neurosci Behavioral Neuroscience Behavioral experiments evidence that attention is not maintained at a constant level, but fluctuates with time. Recent studies associate such fluctuations with dynamics of attention-related cortical networks, however the exact mechanism remains unclear. To address this issue, we consider functional neuronal interactions during the accomplishment of a reaction time (RT) task which requires sustained attention. The participants are subjected to a binary classification of a large number of presented ambiguous visual stimuli with different degrees of ambiguity. Generally, high ambiguity causes high RT and vice versa. However, we demonstrate that RT fluctuates even when the stimulus ambiguity remains unchanged. The analysis of neuronal activity reveals that the subject's behavioral response is preceded by the formation of a distributed functional network in the β-frequency band. This network is characterized by high connectivity in the frontal cortex and supposed to subserve a decision-making process. We show that neither the network structure nor the duration of its formation depend on RT and stimulus ambiguity. In turn, RT is related to the moment of time when the β-band functional network emerges. We hypothesize that RT is affected by the processes preceding the decision-making stage, e.g., encoding visual sensory information and extracting decision-relevant features from raw sensory information. Frontiers Media S.A. 2019-09-24 /pmc/articles/PMC6769171/ /pubmed/31607873 http://dx.doi.org/10.3389/fnbeh.2019.00220 Text en Copyright © 2019 Maksimenko, Frolov, Hramov, Runnova, Grubov, Kurths and Pisarchik. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Behavioral Neuroscience
Maksimenko, Vladimir A.
Frolov, Nikita S.
Hramov, Alexander E.
Runnova, Anastasia E.
Grubov, Vadim V.
Kurths, Jürgen
Pisarchik, Alexander N.
Neural Interactions in a Spatially-Distributed Cortical Network During Perceptual Decision-Making
title Neural Interactions in a Spatially-Distributed Cortical Network During Perceptual Decision-Making
title_full Neural Interactions in a Spatially-Distributed Cortical Network During Perceptual Decision-Making
title_fullStr Neural Interactions in a Spatially-Distributed Cortical Network During Perceptual Decision-Making
title_full_unstemmed Neural Interactions in a Spatially-Distributed Cortical Network During Perceptual Decision-Making
title_short Neural Interactions in a Spatially-Distributed Cortical Network During Perceptual Decision-Making
title_sort neural interactions in a spatially-distributed cortical network during perceptual decision-making
topic Behavioral Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6769171/
https://www.ncbi.nlm.nih.gov/pubmed/31607873
http://dx.doi.org/10.3389/fnbeh.2019.00220
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