ArticleBrain and behavior2016
Reduced specialized processing in psychotic disorder: a graph theoretical analysis of cerebral functional connectivity.
Article in Brain and behavior, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Negative symptoms and resting state functional connectivity: Leveraging ecological momentary assessment and individual-specific techniques.Schizophrenia research · 2026Article
- Diminished functional segregation and resilience are associated with symptomatic severity and cognitive impairments in schizophrenia: a large-scale study.General psychiatry · 2024Article
- Rich-club reorganization of white matter structural network in schizophrenia patients with auditory verbal hallucinations following 1 Hz rTMS treatment.NeuroImage. Clinical · 2023Article
- Resting-State Functional Connectivity and Psychotic-like Experiences in Childhood: Results From the Adolescent Brain Cognitive Development Study.Biological psychiatry · 2019Article
- Microstructural white matter network-connectivity in individuals with psychotic disorder, unaffected siblings and controls.NeuroImage. Clinical · 2019Article
- Small world properties changes in mild traumatic brain injury.Journal of magnetic resonance imaging : JMRI · 2017Article
- Reduced specialized processing in psychotic disorder: a graph theoretical analysis of cerebral functional connectivity.Brain and behavior · 2016Article
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13 authors.
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Abstract
backgroundPrevious research has shown that the human brain can be represented as a complex functional network that is characterized by specific topological properties, such as clustering coefficient, characteristic path length, and global/local efficiency. Patients with psychotic disorder may have alterations in these properties with respect to controls, indicating altered efficiency of network organization. This study examined graph theoretical changes in relation to differential genetic risk for the disorder and aimed to identify clinical correlates.
methodsAnatomical and resting-state MRI brain scans were obtained from 73 patients with psychotic disorder, 83 unaffected siblings, and 72 controls. Topological measures (i.e., clustering coefficient, characteristic path length, and small-worldness) were used as dependent variables in a multilevel random regression analysis to investigate group differences. In addition, associations with (subclinical) psychotic/cognitive symptoms were examined.
resultsPatients had a significantly lower clustering coefficient compared to siblings and controls, with no difference between the latter groups. No group differences were observed for characteristic path length and small-worldness. None of the topological properties were associated with (sub)clinical psychotic and cognitive symptoms.
conclusionsThe reduced ability for specialized processing (reflected by a lower clustering coefficient) within highly interconnected brain regions observed in the patient group may indicate state-related network alterations. There was no evidence for an intermediate phenotype and no evidence for psychopathology-related alterations.
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