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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Default mode network maturation and psychopathology in children and adolescents

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Sato, Joao Ricardo [1, 2, 3, 4] ; Salum, Giovanni Abrahao [5, 2] ; Gadelha, Ary [2, 4] ; Crossley, Nicolas [6, 7, 8, 9] ; Vieira, Gilson [3, 10] ; Manfro, Gisele Gus [5, 2] ; Zugman, Andre [2, 4] ; Picon, Felipe Almeida [5, 2] ; Pan, Pedro Mario [2, 4] ; Hoexter, Marcelo Queiroz [2, 11, 4] ; Anes, Mauricio [2, 5] ; Moura, Luciana Monteiro [2, 4] ; Gomes Del'Aquilla, Marco Antonio [2, 4] ; Amaro, Jr., Edson [3] ; McGuire, Philip [6] ; Tavares Lacerda, Acioly Luiz [4, 2] ; Rohde, Luis Augusto [5, 2] ; Miguel, Euripedes Constantino [2, 11] ; Jackowski, Andrea Parolin [2, 4] ; Bressan, Rodrigo Affonseca [4, 2]
Total Authors: 20
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[1] Univ Fed ABC, Ctr Math Computat & Cognit, Santo Andre - Brazil
[2] CNPq, Natl Inst Dev Psychiat Children & Adolescents, Sao Paulo - Brazil
[3] Univ Sao Paulo, Sch Med, Dept Radiol, Sao Paulo - Brazil
[4] Univ Fed Sao Paulo UNIFESP, Interdisciplinary Lab Clin Neurosci LiNC, Sao Paulo - Brazil
[5] Univ Fed Rio Grande do Sul, Dept Psychiat, Porto Alegre, RS - Brazil
[6] Kings Coll London, Inst Psychiat, London WC2R 2LS - England
[7] P Catholic Univ Chile, Inst Biol & Med Engn, Fac Engn, Santiago - Chile
[8] P Catholic Univ Chile, Fac Med, Santiago - Chile
[9] P Catholic Univ Chile, Fac Biol Sci, Santiago - Chile
[10] Univ Sao Paulo, Inst Math & Stat, Bioinformat Program, Sao Paulo - Brazil
[11] Univ Sao Paulo, Sch Med, Dept Psychiat, Sao Paulo - Brazil
Total Affiliations: 11
Document type: Journal article
Source: JOURNAL OF CHILD PSYCHOLOGY AND PSYCHIATRY; v. 57, n. 1, p. 55-64, JAN 2016.
Web of Science Citations: 13

BackgroundThe human default mode (DMN) is involved in a wide array of mental disorders. Current knowledge suggests that mental health disorders may reflect deviant trajectories of brain maturation. MethodWe studied 654 children using functional magnetic resonance imaging (fMRI) scans under a resting-state protocol. A machine-learning method was used to obtain age predictions of children based on the average coefficient of fractional amplitude of low frequency fluctuations (fALFFs) of the DMN, a measure of spontaneous local activity. The chronological ages of the children and fALFF measures from regions of this network, the response and predictor variables were considered respectively in a Gaussian Process Regression. Subsequently, we computed a network maturation status index for each subject (actual age minus predicted). We then evaluated the association between this maturation index and psychopathology scores on the Child Behavior Checklist (CBCL). ResultsOur hypothesis was that the maturation status of the DMN would be negatively associated with psychopathology. Consistent with previous studies, fALFF significantly predicted the age of participants (p<.001). Furthermore, as expected, we found an association between the DMN maturation status (precocious vs. delayed) and general psychopathology scores (p=.011). ConclusionsOur findings suggest that child psychopathology seems to be associated with delayed maturation of the DMN. This delay in the neurodevelopmental trajectory may offer interesting insights into the pathophysiology of mental health disorders. (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