Investigation of the brain connectivity patterns associated with psychotic experie...
| Full text | |
| Author(s): Show less - |
Sato, Joao Ricardo
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Biazoli, Jr., Claudinei Eduardo
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Salum, Giovanni Abrahao
;
Gadelha, Ary
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Crossley, Nicolas
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Vieira, Gilson
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Zugman, Andre
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Picon, Felipe Almeida
;
Pan, Pedro Mario
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Hoexter, Marcelo Queiroz
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Anes, Mauricio
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Moura, Luciana Monteiro
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Gomes Del'Aquilla, Marco Antonio
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Amaro Junior, Edson
;
Mcguire, Philip
;
Rohde, Luis Augusto
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Miguel, Euripedes Constantino
;
Bressan, Rodrigo Affonseca
;
Jackowski, Andrea Parolin
Total Authors: 19
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| Document type: | Journal article |
| Source: | DEVELOPMENTAL COGNITIVE NEUROSCIENCE; v. 20, p. 2-11, AUG 2016. |
| Web of Science Citations: | 4 |
| Abstract | |
Functional brain hubs are key integrative regions in brain networks. Recently, brain hubs identified through resting-state fMRI have emerged as interesting targets to increase understanding of the relationships between large-scale functional networks and psychopathology. However, few studies have directly addressed the replicability and consistency of the hub regions identified and their association with symptoms. Here, we used the eigenvector centrality (EVC) measure obtained from graph analysis of two large, independent population-based samples of children and adolescents (7-15 years old; total N = 652; 341 subjects for site 1 and 311 for site 2) to evaluate the replicability of hub identification. Subsequently, we tested the association between replicable hub regions and psychiatric symptoms. We identified a set of hubs consisting of the anterior medial prefrontal cortex and inferior parietal lobule/intraparietal sulcus (IPL/IPS). Moreover, lower EVC values in the right IPS were associated with psychiatric symptoms in both samples. Thus, low centrality of the IPS was a replicable sign of potential vulnerability to mental disorders in children. The identification of critical and replicable hubs in functional cortical networks in children and adolescents can foster understanding of the mechanisms underlying mental disorders. (C) 2016 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license. (AU) | |
| FAPESP's process: | 13/10498-6 - Machine learning in neuroimaging: development of methods and clinical applications in psychiatric disorders |
| Grantee: | João Ricardo Sato |
| Support type: | Regular Research Grants |
| FAPESP's process: | 13/08531-5 - High risk cohort study for psychiatric disorders in childhood: 3-year follow-up neuroimaging study |
| Grantee: | Andrea Parolin Jackowski |
| Support type: | Regular Research Grants |
| FAPESP's process: | 13/00506-1 - Time series, wavelets and functional data analysis |
| Grantee: | Pedro Alberto Morettin |
| Support type: | Research Projects - Thematic Grants |
| FAPESP's process: | 08/57896-8 - National Institute for Developmental Psychiatry |
| Grantee: | Eurípedes Constantino Miguel Filho |
| Support type: | Research Projects - Thematic Grants |