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Variability in Infants' Functional Brain Network Connectivity Is Associated With Differences in Affect and Behavior

Variability in functional brain network connectivity has been linked to individual differences in cognitive, affective, and behavioral traits in adults. However, little is known about the developmental origins of such brain-behavior correlations. The current study examined functional brain network c...

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Autores principales: Kelsey, Caroline M., Farris, Katrina, Grossmann, Tobias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8220897/
https://www.ncbi.nlm.nih.gov/pubmed/34177669
http://dx.doi.org/10.3389/fpsyt.2021.685754
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author Kelsey, Caroline M.
Farris, Katrina
Grossmann, Tobias
author_facet Kelsey, Caroline M.
Farris, Katrina
Grossmann, Tobias
author_sort Kelsey, Caroline M.
collection PubMed
description Variability in functional brain network connectivity has been linked to individual differences in cognitive, affective, and behavioral traits in adults. However, little is known about the developmental origins of such brain-behavior correlations. The current study examined functional brain network connectivity and its link to behavioral temperament in typically developing newborn and 1-month-old infants (M [age] = 25 days; N = 75) using functional near-infrared spectroscopy (fNIRS). Specifically, we measured long-range connectivity between cortical regions approximating fronto-parietal, default mode, and homologous-interhemispheric networks. Our results show that connectivity in these functional brain networks varies across infants and maps onto individual differences in behavioral temperament. Specifically, connectivity in the fronto-parietal network was positively associated with regulation and orienting behaviors, whereas connectivity in the default mode network showed the opposite effect on these behaviors. Our analysis also revealed a significant positive association between the homologous-interhemispheric network and infants' negative affect. The current results suggest that variability in long-range intra-hemispheric and cross-hemispheric functional connectivity between frontal, parietal, and temporal cortex is associated with individual differences in affect and behavior. These findings shed new light on the brain origins of individual differences in early-emerging behavioral traits and thus represent a viable novel approach for investigating developmental trajectories in typical and atypical neurodevelopment.
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spelling pubmed-82208972021-06-24 Variability in Infants' Functional Brain Network Connectivity Is Associated With Differences in Affect and Behavior Kelsey, Caroline M. Farris, Katrina Grossmann, Tobias Front Psychiatry Psychiatry Variability in functional brain network connectivity has been linked to individual differences in cognitive, affective, and behavioral traits in adults. However, little is known about the developmental origins of such brain-behavior correlations. The current study examined functional brain network connectivity and its link to behavioral temperament in typically developing newborn and 1-month-old infants (M [age] = 25 days; N = 75) using functional near-infrared spectroscopy (fNIRS). Specifically, we measured long-range connectivity between cortical regions approximating fronto-parietal, default mode, and homologous-interhemispheric networks. Our results show that connectivity in these functional brain networks varies across infants and maps onto individual differences in behavioral temperament. Specifically, connectivity in the fronto-parietal network was positively associated with regulation and orienting behaviors, whereas connectivity in the default mode network showed the opposite effect on these behaviors. Our analysis also revealed a significant positive association between the homologous-interhemispheric network and infants' negative affect. The current results suggest that variability in long-range intra-hemispheric and cross-hemispheric functional connectivity between frontal, parietal, and temporal cortex is associated with individual differences in affect and behavior. These findings shed new light on the brain origins of individual differences in early-emerging behavioral traits and thus represent a viable novel approach for investigating developmental trajectories in typical and atypical neurodevelopment. Frontiers Media S.A. 2021-06-09 /pmc/articles/PMC8220897/ /pubmed/34177669 http://dx.doi.org/10.3389/fpsyt.2021.685754 Text en Copyright © 2021 Kelsey, Farris and Grossmann. https://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 Psychiatry
Kelsey, Caroline M.
Farris, Katrina
Grossmann, Tobias
Variability in Infants' Functional Brain Network Connectivity Is Associated With Differences in Affect and Behavior
title Variability in Infants' Functional Brain Network Connectivity Is Associated With Differences in Affect and Behavior
title_full Variability in Infants' Functional Brain Network Connectivity Is Associated With Differences in Affect and Behavior
title_fullStr Variability in Infants' Functional Brain Network Connectivity Is Associated With Differences in Affect and Behavior
title_full_unstemmed Variability in Infants' Functional Brain Network Connectivity Is Associated With Differences in Affect and Behavior
title_short Variability in Infants' Functional Brain Network Connectivity Is Associated With Differences in Affect and Behavior
title_sort variability in infants' functional brain network connectivity is associated with differences in affect and behavior
topic Psychiatry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8220897/
https://www.ncbi.nlm.nih.gov/pubmed/34177669
http://dx.doi.org/10.3389/fpsyt.2021.685754
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