Research output: Contribution to journal › Article › peer-review
Cross-frequency coupling in developmental perspective. / Knyazev, Gennady G.; Savostyanov, Alexander N.; Bocharov, Andrey V. et al.
In: Frontiers in Human Neuroscience, Vol. 13, 158, 14.05.2019, p. 158.Research output: Contribution to journal › Article › peer-review
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TY - JOUR
T1 - Cross-frequency coupling in developmental perspective
AU - Knyazev, Gennady G.
AU - Savostyanov, Alexander N.
AU - Bocharov, Andrey V.
AU - Tamozhnikov, Sergey S.
AU - Kozlova, Elena A.
AU - Leto, Irina V.
AU - Slobodskaya, Helena R.
PY - 2019/5/14
Y1 - 2019/5/14
N2 - 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.
AB - 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.
KW - Cross-frequency coupling
KW - Developmental trends
KW - EEG
KW - Growth curve analysis
KW - Introversion
KW - Social anxiety
KW - Source-level analysis
KW - developmental trends
KW - RESTING STATE NETWORKS
KW - ELECTROMAGNETIC TOMOGRAPHY
KW - DEFAULT MODE
KW - SOCIAL ANXIETY
KW - INDIVIDUAL-DIFFERENCES
KW - introversion
KW - source-level analysis
KW - cross-frequency coupling
KW - BETA OSCILLATIONS
KW - BRAIN-FUNCTION
KW - social anxiety
KW - DELTA-OSCILLATIONS
KW - INFERIOR FRONTAL GYRUS
KW - growth curve analysis
UR - http://www.scopus.com/inward/record.url?scp=85069541498&partnerID=8YFLogxK
U2 - 10.3389/fnhum.2019.00158
DO - 10.3389/fnhum.2019.00158
M3 - Article
C2 - 31139068
AN - SCOPUS:85069541498
VL - 13
SP - 158
JO - Frontiers in Human Neuroscience
JF - Frontiers in Human Neuroscience
SN - 1662-5161
M1 - 158
ER -
ID: 21045562