ArticleSchizophrenia research2020
Altered resting-state functional connectivity in young children at familial high risk for psychotic illness: A preliminary study.
Article in Schizophrenia research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Sleep and wake markers of thalamocortical functioning in early-course psychosis and first-degree relatives.Schizophrenia (Heidelberg, Germany) · 2026Article
- Resting-State Functional Connectivity Change in Frontoparietal and Default Mode Networks After Acute Exercise in Youth.Brain plasticity (Amsterdam, Netherlands) · 2024Article
- The Risk for Schizophrenia-Bipolar Spectrum: Does the Apple Fall Close to the Tree? A Narrative Review.International journal of environmental research and public health · 2023Review
- Sex-related brain connectivity correlates of compensation in adults with autism: insights into female protection.Cerebral cortex (New York, N.Y. : 1991) · 2022Article
- Affective Enhancement of Episodic Memory Is Associated With Widespread Patterns of Intrinsic Functional Connectivity in the Brain Across the Adult Lifespan.Frontiers in behavioral neuroscience · 2022Article
- Abnormal network homogeneity of default-mode network and its relationships with clinical symptoms in antipsychotic-naïve first-diagnosis schizophrenia.Frontiers in neuroscience · 2022Article
- Enriching activities during childhood are associated with variations in functional connectivity patterns later in life.Neurobiology of aging · 2021Article
- A comprehensive data-driven analysis framework for detecting impairments in brain function networks with resting state fMRI in HIV-infected individuals on cART.Journal of neurovirology · 2021Article
- Hyperactivation of Posterior Default Mode Network During Self-Referential Processing in Children at Familial High-Risk for Psychosis.Frontiers in psychiatry · 2021Article
- Resting-State Functional Connectivity and Scholastic Performance in Preadolescent Children: A Data-Driven Multivoxel Pattern Analysis (MVPA).Journal of clinical medicine · 2020Article
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Authors and funding
12 authors.
Funding
Abstract
Multiple lines of evidence suggest that illness development in schizophrenia and other psychotic disorders predates the first psychotic episode by many years. In this study, we examined a sample of 15 pre-adolescent children, ages 7 through 12 years, who are at familial high-risk (FHR) because they have a parent or sibling with a history of schizophrenia or related psychotic disorder. Using multi-voxel pattern analysis (MVPA), a data-driven fMRI analysis, we assessed whole-brain differences in functional connectivity in the FHR sample as compared to an age- and sex-matched control (CON) group of 15 children without a family history of psychosis. MVPA analysis yielded a single cluster in right posterior superior temporal gyrus (pSTG/BA 22) showing significant group-differences in functional connectivity. Post-hoc characterization of this cluster through seed-to-voxel analysis revealed mostly reduced functional connectivity of the pSTG seed to a set of language and default mode network (DMN) associated brain regions including Heschl's gyrus, inferior temporal gyrus extending into fusiform gyrus, (para)hippocampus, thalamus, and a cerebellar cluster encompassing mainly Crus I/II. A height-threshold of whole-brain p < .001 (two-sided), and FDR-corrected cluster-threshold of p < .05 (non-parametric statistics) was used for post-hoc characterization. These findings suggest that abnormalities in functional communication in a network encompassing right STG and associated brain regions are present before adolescence in at-risk children and may be a risk marker for psychosis. Subsequent changes in this functional network across development may contribute to either disease manifestation or resilience in children with a familial vulnerability for psychosis.
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