ArticleHuman brain mapping2017
Central and non-central networks, cognition, clinical symptoms, and polygenic risk scores in schizophrenia.
Article in Human brain mapping, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Linking Polygenic Risk of Schizophrenia to Variation in Magnetic Resonance Imaging Brain Measures: A Comprehensive Systematic Review.Schizophrenia bulletin · 2024Pooled it
- Abnormal Structural Network Communication Reflects Cognitive Deficits in Schizophrenia.Brain topography · 2023Article
- Negative symptoms are associated with modularity and thalamic connectivity in schizophrenia.European archives of psychiatry and clinical neuroscience · 2023Article
- White matter, cognition and psychotic-like experiences in UK Biobank.Psychological medicine · 2023Article
- Potential diagnostic biomarkers for schizophrenia.Medical review (2021) · 2022Review
- Polygenic Risk Scores Shed Light on the Relationship between Schizophrenia and Cognitive Functioning: Review and Meta-Analysis.Journal of clinical medicine · 2020Article
- Familial t(1;11) translocation is associated with disruption of white matter structural integrity and oligodendrocyte-myelin dysfunction.Molecular psychiatry · 2019Article
- Polygenic risk score increases schizophrenia liability through cognition-relevant pathways.Brain : a journal of neurology · 2019Article
- The interactive effects of stress and coping style on cognitive function in patients with schizophrenia.Neuropsychiatric disease and treatment · 2019Article
- On the nature and use of models in network neuroscience.Nature reviews. Neuroscience · 2018Review
- Polygenic risk score for schizophrenia and structural brain connectivity in older age: A longitudinal connectome and tractography study.NeuroImage · 2018Article
- Polygenic Risk Scores in Clinical Psychology: Bridging Genomic Risk to Individual Differences.Annual review of clinical psychology · 2018Review
- Genetic Risk for Psychiatric Disorders and Telomere Length.Frontiers in genetics · 2018Article
- Development of Structural Covariance From Childhood to Adolescence: A Longitudinal Study in 22q11.2DS.Frontiers in neuroscience · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
Schizophrenia is a complex disorder that may be the result of aberrant connections between specific brain regions rather than focal brain abnormalities. Here, we investigate the relationships between brain structural connectivity as described by network analysis, intelligence, symptoms, and polygenic risk scores (PGRS) for schizophrenia in a group of patients with schizophrenia and a group of healthy controls. Recently, researchers have shown an interest in the role of high centrality networks in the disorder. However, the importance of non-central networks still remains unclear. Thus, we specifically examined network-averaged fractional anisotropy (mean edge weight) in central and non-central subnetworks. Connections with the highest betweenness centrality within the average network (>75% of centrality values) were selected to represent the central subnetwork. The remaining connections were assigned to the non-central subnetwork. Additionally, we calculated graph theory measures from the average network (connections that occur in at least 2/3 of participants). Density, strength, global efficiency, and clustering coefficient were significantly lower in patients compared with healthy controls for the average network (p
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.