Resting-state connectivity deficits associated with impaired inhibitory control in non-treatment-seeking adolescents with psychotic symptoms
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Jacobson Mcewen,S. C. S.C., Connolly,Colm G. C.G., Kelly,Amanda M C A.M.C., Kelleher,Ian I., O'Hanlon,Erik E., Clarke,Mary Catherine M.C., Blanchard,Mathieu M. M.M., Mcnamara,Sinead M. S.M., Connor,Dearbhla J. D.J., Sheehan,E. E., Donohoe,Gary J. G.J., Cannon,Mary D. M.D., Garavan,Hugh H., Resting-state connectivity deficits associated with impaired inhibitory control in non-treatment-seeking adolescents with psychotic symptoms, Acta Psychiatrica Scandinavica, 129, 2, 2014, 134-142
Abstract
Objective—
Psychotic symptoms are common in the population and index risk for a range of
severe psychopathological outcomes. We wished to investigate functional connectivity in a
community sample of adolescents who reported psychotic symptoms (the extended psychosis
phenotype).
Method—
This study investigated intrinsic functional connectivity (iFC) during resting-state
functional magnetic resonance imaging (fMRI; rs-fMRI). Following screening in schools, 11 non-
treatment seeking, youth with psychotic symptoms (aged 11–13) and 14 community controls
participated in the study. Seed regions of interest comprised brain regions previously shown to
exhibit aberrant activation during inhibitory control in adolescents with psychotic symptoms.
Results—
Relative to controls, adolescents with psychotic symptoms exhibited reduced iFC
between regions supporting inhibitory control. Specifically, they showed weaker iFC between the
right inferior frontal gyrus (IFG) and the cingulate, IFG and the striatum, anterior cingulate and
claustrum, and precuneus and supramarginal gyrus. Conversely, the psychotic symptoms group
exhibited stronger iFC between the superior frontal gyrus and claustrum and IFG and lingual
gyrus.
Conclusion—
The present findings are the first to reveal aberrant functional connectivity in
resting-state networks in a community sample of adolescents with psychotic symptoms and
suggest that disruption in integration between distributed neural networks (particularly between
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Author's Homepage: http://people.tcd.ie/garavanh
Type of material: Journal Article

