Temporal stability of network centrality in control and default mode networks: Specific associations with externalizing psychopathology in children and adolescents

João Ricardo Sato; Claudinei Eduardo Biazoli; Giovanni Abrahão Salum; Ary Gadelha; Nicolas Crossley; Theodore D. Satterthwaite; Gilson Vieira; André Zugman; Felipe Almeida Picon; Pedro Mario Pan; Marcelo Queiroz Hoexter; Mauricio Anés; Luciana Monteiro Moura; Marco Antonio Gomes Del'aquilla; Edson Amaro; Philip Mcguire; Acioly L T Lacerda; Luis Augusto Rohde; Euripedes Constantino Miguel; Andrea Parolin Jackowski; Rodrigo Affonseca Bressan

doi:10.1002/hbm.22985

Temporal stability of network centrality in control and default mode networks: Specific associations with externalizing psychopathology in children and adolescents

João Ricardo Sato^*, Claudinei Eduardo Biazoli, Giovanni Abrahão Salum, Ary Gadelha, Nicolas Crossley, Theodore D. Satterthwaite, Gilson Vieira, André Zugman, Felipe Almeida Picon, Pedro Mario Pan, Marcelo Queiroz Hoexter, Mauricio Anés, Luciana Monteiro Moura, Marco Antonio Gomes Del'aquilla, Edson Amaro, Philip Mcguire, Acioly L T Lacerda, Luis Augusto Rohde, Euripedes Constantino Miguel, Andrea Parolin JackowskiRodrigo Affonseca Bressan

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

23 Citations (Scopus)

Abstract

Abnormal connectivity patterns have frequently been reported as involved in pathological mental states. However, most studies focus on "static," stationary patterns of connectivity, which may miss crucial biological information. Recent methodological advances have allowed the investigation of dynamic functional connectivity patterns that describe non-stationary properties of brain networks. Here, we introduce a novel graphical measure of dynamic connectivity, called time-varying eigenvector centrality (tv-EVC). In a sample 655 children and adolescents (7-15 years old) from the Brazilian "High Risk Cohort Study for Psychiatric Disorders" who were imaged using resting-state fMRI, we used this measure to investigate age effects in the temporal in control and default-mode networks (CN/DMN). Using support vector regression, we propose a network maturation index based on the temporal stability of tv-EVC. Moreover, we investigated whether the network maturation is associated with the overall presence of behavioral and emotional problems with the Child Behavior Checklist. As hypothesized, we found that the tv-EVC at each node of CN/DMN become more stable with increasing age (P<0.001 for all nodes). In addition, the maturity index for this particular network is indeed associated with general psychopathology in children assessed by the total score of Child Behavior Checklist (P=0.027). Moreover, immaturity of the network was mainly correlated with externalizing behavior dimensions. Taken together, these results suggest that changes in functional network dynamics during neurodevelopment may provide unique insights regarding pathophysiology. Hum Brain Mapp 36:4926-4937, 2015.

Original language	English
Pages (from-to)	4926-4937
Number of pages	12
Journal	Human Brain Mapping
Volume	36
Issue number	12
Early online date	9 Sept 2015
DOIs	https://doi.org/10.1002/hbm.22985
Publication status	Published - 1 Dec 2015

Keywords

Connectivity
Default-mode network
Development
Neurodevelopment
Psychopathology

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10.1002/hbm.22985

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Sato, J. R., Biazoli, C. E., Salum, G. A., Gadelha, A., Crossley, N., Satterthwaite, T. D., Vieira, G., Zugman, A., Picon, F. A., Pan, P. M., Hoexter, M. Q., Anés, M., Moura, L. M., Del'aquilla, M. A. G., Amaro, E., Mcguire, P., Lacerda, A. L. T., Rohde, L. A., Miguel, E. C., ... Bressan, R. A. (2015). Temporal stability of network centrality in control and default mode networks: Specific associations with externalizing psychopathology in children and adolescents. Human Brain Mapping, 36(12), 4926-4937. https://doi.org/10.1002/hbm.22985

@article{8e061586e4be46e8b9ac3a0ba70f9846,

title = "Temporal stability of network centrality in control and default mode networks: Specific associations with externalizing psychopathology in children and adolescents",

abstract = "Abnormal connectivity patterns have frequently been reported as involved in pathological mental states. However, most studies focus on {"}static,{"} stationary patterns of connectivity, which may miss crucial biological information. Recent methodological advances have allowed the investigation of dynamic functional connectivity patterns that describe non-stationary properties of brain networks. Here, we introduce a novel graphical measure of dynamic connectivity, called time-varying eigenvector centrality (tv-EVC). In a sample 655 children and adolescents (7-15 years old) from the Brazilian {"}High Risk Cohort Study for Psychiatric Disorders{"} who were imaged using resting-state fMRI, we used this measure to investigate age effects in the temporal in control and default-mode networks (CN/DMN). Using support vector regression, we propose a network maturation index based on the temporal stability of tv-EVC. Moreover, we investigated whether the network maturation is associated with the overall presence of behavioral and emotional problems with the Child Behavior Checklist. As hypothesized, we found that the tv-EVC at each node of CN/DMN become more stable with increasing age (P<0.001 for all nodes). In addition, the maturity index for this particular network is indeed associated with general psychopathology in children assessed by the total score of Child Behavior Checklist (P=0.027). Moreover, immaturity of the network was mainly correlated with externalizing behavior dimensions. Taken together, these results suggest that changes in functional network dynamics during neurodevelopment may provide unique insights regarding pathophysiology. Hum Brain Mapp 36:4926-4937, 2015.",

keywords = "Connectivity, Default-mode network, Development, Neurodevelopment, Psychopathology",

author = "Sato, {Jo{\~a}o Ricardo} and Biazoli, {Claudinei Eduardo} and Salum, {Giovanni Abrah{\~a}o} and Ary Gadelha and Nicolas Crossley and Satterthwaite, {Theodore D.} and Gilson Vieira and Andr{\'e} Zugman and Picon, {Felipe Almeida} and Pan, {Pedro Mario} and Hoexter, {Marcelo Queiroz} and Mauricio An{\'e}s and Moura, {Luciana Monteiro} and Del'aquilla, {Marco Antonio Gomes} and Edson Amaro and Philip Mcguire and Lacerda, {Acioly L T} and Rohde, {Luis Augusto} and Miguel, {Euripedes Constantino} and Jackowski, {Andrea Parolin} and Bressan, {Rodrigo Affonseca}",

year = "2015",

month = dec,

day = "1",

doi = "10.1002/hbm.22985",

language = "English",

volume = "36",

pages = "4926--4937",

journal = "Human Brain Mapping",

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Sato, JR, Biazoli, CE, Salum, GA, Gadelha, A, Crossley, N, Satterthwaite, TD, Vieira, G, Zugman, A, Picon, FA, Pan, PM, Hoexter, MQ, Anés, M, Moura, LM, Del'aquilla, MAG, Amaro, E, Mcguire, P, Lacerda, ALT, Rohde, LA, Miguel, EC, Jackowski, AP & Bressan, RA 2015, 'Temporal stability of network centrality in control and default mode networks: Specific associations with externalizing psychopathology in children and adolescents', Human Brain Mapping, vol. 36, no. 12, pp. 4926-4937. https://doi.org/10.1002/hbm.22985

Temporal stability of network centrality in control and default mode networks: Specific associations with externalizing psychopathology in children and adolescents. / Sato, João Ricardo; Biazoli, Claudinei Eduardo; Salum, Giovanni Abrahão et al.
In: Human Brain Mapping, Vol. 36, No. 12, 01.12.2015, p. 4926-4937.

Research output: Contribution to journal › Article › peer-review

TY - JOUR

T1 - Temporal stability of network centrality in control and default mode networks

T2 - Specific associations with externalizing psychopathology in children and adolescents

AU - Sato, João Ricardo

AU - Biazoli, Claudinei Eduardo

AU - Salum, Giovanni Abrahão

AU - Gadelha, Ary

AU - Crossley, Nicolas

AU - Satterthwaite, Theodore D.

AU - Vieira, Gilson

AU - Zugman, André

AU - Picon, Felipe Almeida

AU - Pan, Pedro Mario

AU - Hoexter, Marcelo Queiroz

AU - Anés, Mauricio

AU - Moura, Luciana Monteiro

AU - Del'aquilla, Marco Antonio Gomes

AU - Amaro, Edson

AU - Mcguire, Philip

AU - Lacerda, Acioly L T

AU - Rohde, Luis Augusto

AU - Miguel, Euripedes Constantino

AU - Jackowski, Andrea Parolin

AU - Bressan, Rodrigo Affonseca

PY - 2015/12/1

Y1 - 2015/12/1

N2 - Abnormal connectivity patterns have frequently been reported as involved in pathological mental states. However, most studies focus on "static," stationary patterns of connectivity, which may miss crucial biological information. Recent methodological advances have allowed the investigation of dynamic functional connectivity patterns that describe non-stationary properties of brain networks. Here, we introduce a novel graphical measure of dynamic connectivity, called time-varying eigenvector centrality (tv-EVC). In a sample 655 children and adolescents (7-15 years old) from the Brazilian "High Risk Cohort Study for Psychiatric Disorders" who were imaged using resting-state fMRI, we used this measure to investigate age effects in the temporal in control and default-mode networks (CN/DMN). Using support vector regression, we propose a network maturation index based on the temporal stability of tv-EVC. Moreover, we investigated whether the network maturation is associated with the overall presence of behavioral and emotional problems with the Child Behavior Checklist. As hypothesized, we found that the tv-EVC at each node of CN/DMN become more stable with increasing age (P<0.001 for all nodes). In addition, the maturity index for this particular network is indeed associated with general psychopathology in children assessed by the total score of Child Behavior Checklist (P=0.027). Moreover, immaturity of the network was mainly correlated with externalizing behavior dimensions. Taken together, these results suggest that changes in functional network dynamics during neurodevelopment may provide unique insights regarding pathophysiology. Hum Brain Mapp 36:4926-4937, 2015.

AB - Abnormal connectivity patterns have frequently been reported as involved in pathological mental states. However, most studies focus on "static," stationary patterns of connectivity, which may miss crucial biological information. Recent methodological advances have allowed the investigation of dynamic functional connectivity patterns that describe non-stationary properties of brain networks. Here, we introduce a novel graphical measure of dynamic connectivity, called time-varying eigenvector centrality (tv-EVC). In a sample 655 children and adolescents (7-15 years old) from the Brazilian "High Risk Cohort Study for Psychiatric Disorders" who were imaged using resting-state fMRI, we used this measure to investigate age effects in the temporal in control and default-mode networks (CN/DMN). Using support vector regression, we propose a network maturation index based on the temporal stability of tv-EVC. Moreover, we investigated whether the network maturation is associated with the overall presence of behavioral and emotional problems with the Child Behavior Checklist. As hypothesized, we found that the tv-EVC at each node of CN/DMN become more stable with increasing age (P<0.001 for all nodes). In addition, the maturity index for this particular network is indeed associated with general psychopathology in children assessed by the total score of Child Behavior Checklist (P=0.027). Moreover, immaturity of the network was mainly correlated with externalizing behavior dimensions. Taken together, these results suggest that changes in functional network dynamics during neurodevelopment may provide unique insights regarding pathophysiology. Hum Brain Mapp 36:4926-4937, 2015.

KW - Connectivity

KW - Default-mode network

KW - Development

KW - Neurodevelopment

KW - Psychopathology

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U2 - 10.1002/hbm.22985

DO - 10.1002/hbm.22985

M3 - Article

AN - SCOPUS:84956842329

SN - 1065-9471

VL - 36

SP - 4926

EP - 4937

JO - Human Brain Mapping

JF - Human Brain Mapping

IS - 12

ER -

Temporal stability of network centrality in control and default mode networks: Specific associations with externalizing psychopathology in children and adolescents

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Keywords

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