Cross-Frequency Coupling in Developmental Perspective

It is generally assumed that different electroencephalogram (EEG) frequency bands are somehow related to different computational modes in the brain. Integration of these computational modes is reflected in the phenomenon of cross-frequency coupling (CFC). On slow temporal scales, CFC may reflect tra...

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Published inFrontiers in human neuroscience Vol. 13; p. 158
Main Authors Knyazev, Gennady G, Savostyanov, Alexander N, Bocharov, Andrey V, Tamozhnikov, Sergey S, Kozlova, Elena A, Leto, Irina V, Slobodskaya, Helena R
Format Journal Article
LanguageEnglish
Published Switzerland Frontiers Research Foundation 14.05.2019
Frontiers Media S.A
Subjects
Adults
Anxiety
Cognition
Computational neuroscience
cross-frequency coupling
developmental trends
EEG
Electroencephalography
Fear & phobias
introversion
Neuroscience
Personality
Physiology
Sensorimotor integration
Sensory integration
social anxiety
Social interactions
source-level analysis
Studies
Russia
developmental trends
introversion
source-level analysis
EEG
cross-frequency coupling
social anxiety
growth curve analysis
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Abstract It is generally assumed that different electroencephalogram (EEG) frequency bands are somehow related to different computational modes in the brain. Integration of these computational modes is reflected in the phenomenon of cross-frequency coupling (CFC). On slow temporal scales, CFC may reflect trait-like properties, which posits a question of its developmental trends. This is the first study that explored source-level CFC measures in a developmental perspective using both cross-sectional and longitudinal designs. CFC measures demonstrated good test-retest stability and proved to be higher in adults in cortical areas participating in sensory-motor integration, response inhibition, and attentional control. In children, greater CFC was observed in parietal regions involved in self-centered cognition. Over the period from 7 to 10 years, CFC demonstrated nonlinear growth trajectories. Introversion was associated with higher CFC in cortical areas related to emotion, attention, and social cognition, implying that the association between introversion and CFC appears early in the development.
AbstractList It is generally assumed that different electroencephalogram (EEG) frequency bands are somehow related to different computational modes in the brain. Integration of these computational modes is reflected in the phenomenon of cross-frequency coupling (CFC). On slow temporal scales, CFC may reflect trait-like properties, which posits a question of its developmental trends. This is the first study that explored source-level CFC measures in a developmental perspective using both cross-sectional and longitudinal designs. CFC measures demonstrated good test-retest stability and proved to be higher in adults in cortical areas participating in sensory-motor integration, response inhibition, and attentional control. In children, greater CFC was observed in parietal regions involved in self-centered cognition. Over the period from 7 to 10 years, CFC demonstrated nonlinear growth trajectories. Introversion was associated with higher CFC in cortical areas related to emotion, attention, and social cognition, implying that the association between introversion and CFC appears early in the development.
It is generally assumed that different EEG frequency bands are somehow related to different computational modes in the brain. Integration of these computational modes is reflected in the phenomenon of cross-frequency coupling (CFC). On slow temporal scales, CFC may reflect trait-like properties, which posits a question of its developmental trends. This is the first study that explored source-level CFC measures in developmental perspective using both cross-sectional and longitudinal designs. CFC measures demonstrated good test-retest stability and proved to be higher in adults in cortical areas participating in sensory-motor integration, response inhibition, and attentional control. In children, greater CFC was observed in parietal regions involved in self-centered cognition. Over the period from 7 to 10 years, CFC demonstrated nonlinear growth trajectories. Introversion was associated with higher CFC in cortical areas related to emotion, attention, and social cognition implying that the association between introversion and CFC appears early in the development.
Author Knyazev, Gennady G
Savostyanov, Alexander N
Bocharov, Andrey V
Leto, Irina V
Slobodskaya, Helena R
Kozlova, Elena A
Tamozhnikov, Sergey S
AuthorAffiliation 2 Humanitarian Department, Novosibirsk State University , Novosibirsk , Russia
1 Laboratory of Psychophysiology of Individual Differences, Institute of Physiology and Basic Medicine , Novosibirsk , Russia
AuthorAffiliation_xml – name: 1 Laboratory of Psychophysiology of Individual Differences, Institute of Physiology and Basic Medicine , Novosibirsk , Russia
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  givenname: Helena R
  surname: Slobodskaya
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Copyright © 2019 Knyazev, Savostyanov, Bocharov, Tamozhnikov, Kozlova, Leto and Slobodskaya. 2019 Knyazev, Savostyanov, Bocharov, Tamozhnikov, Kozlova, Leto and Slobodskaya
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Keywords developmental trends
introversion
source-level analysis
EEG
cross-frequency coupling
social anxiety
growth curve analysis
Language English
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SSID ssj0062651
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Snippet It is generally assumed that different electroencephalogram (EEG) frequency bands are somehow related to different computational modes in the brain....
It is generally assumed that different EEG frequency bands are somehow related to different computational modes in the brain. Integration of these...
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StartPage 158
SubjectTerms Adults
Anxiety
Cognition
Computational neuroscience
cross-frequency coupling
developmental trends
EEG
Electroencephalography
Fear & phobias
introversion
Neuroscience
Personality
Physiology
Sensorimotor integration
Sensory integration
social anxiety
Social interactions
source-level analysis
Studies
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Title Cross-Frequency Coupling in Developmental Perspective
URI https://www.ncbi.nlm.nih.gov/pubmed/31139068
https://www.proquest.com/docview/2285228130
https://search.proquest.com/docview/2231857510
https://pubmed.ncbi.nlm.nih.gov/PMC6527755
https://doaj.org/article/105f3767264f4e8cb35d474bf4f77095
Volume 13
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