ReviewCurrent topics in medicinal chemistry2012
Brain connectivity networks in schizophrenia underlying resting state functional magnetic resonance imaging.
Review in Current topics in medicinal chemistry, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 79 papers, 2 of them syntheses 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.
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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.
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Who cites it
79 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- A meta-analysis and systematic review of single vs. multimodal neuroimaging techniques in the classification of psychosis.Molecular psychiatry · 2023Pooled it
- Dysconnectivity of Multiple Brain Networks in Schizophrenia: A Meta-Analysis of Resting-State Functional Connectivity.Frontiers in psychiatry · 2019Pooled it
- Brain functional network connectivity interpolation characterizes the neuropsychiatric continuum and heterogeneity.bioRxiv : the preprint server for biology · 2026Article
- Semantic locality-aware biclustering for brain functional network connectivity.Scientific reports · 2025Article
- Disturbances in Resting State Functional Connectivity in Schizophrenia: A Study of Hippocampal Subregions, the Parahippocampal Gyrus and Functional Brain Networks.Diagnostics (Basel, Switzerland) · 2025Article
- Toward Granular Brain Intrinsic Connectivity Networks and Insights into Schizophrenia.bioRxiv : the preprint server for biology · 2025Article
- Revealing multiple biological subtypes of schizophrenia through a data-driven approach.Journal of translational medicine · 2025Article
- Ultrafine brain intrinsic connectivity networks template via very-high-order independent component analysis of large-scale resting-state functional magnetic resonance imaging data.Frontiers in neuroscience · 2025Article
- A multimodal vision transformer for interpretable fusion of functional and structural neuroimaging data.Human brain mapping · 2024Article
- A Dynamic Entropy Approach Reveals Reduced Functional Network Connectivity Trajectory Complexity in Schizophrenia.Entropy (Basel, Switzerland) · 2024Article
- Functional magnetic resonance imaging in schizophrenia: current evidence, methodological advances, limitations and future directions.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2024Article
- Revisiting Functional Dysconnectivity: a Review of Three Model Frameworks in Schizophrenia.Current neurology and neuroscience reports · 2023Review
- Capturing functional connectomics using Riemannian partial least squares.Scientific reports · 2023Article
- Insights from personalized models of brain and behavior for identifying biomarkers in psychiatry.Neuroscience and biobehavioral reviews · 2023Review
- Evidence for embracing normative modeling.eLife · 2023Article
- Brain subnetworks most sensitive to alterations of functional connectivity in Schizophrenia: a data-driven approach.Frontiers in neuroinformatics · 2023Article
- Altered brain connectivity during visual stimulation in schizophrenia.Experimental brain research · 2022Article
- Abnormal global-brain functional connectivity and its relationship with cognitive deficits in drug-naive first-episode adolescent-onset schizophrenia.Brain imaging and behavior · 2022Article
- Statelets: Capturing recurrent transient variations in dynamic functional network connectivity.Human brain mapping · 2022Article
- A hands-on tutorial on network and topological neuroscience.Brain structure & function · 2022Review
19 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Schizophrenia (SZ) is a severe neuropsychiatric disorder. A leading hypothesis is that SZ is a brain dysconnection syndrome, involving abnormal interactions between widespread brain networks. Resting state functional magnetic resonance imaging (R-fMRI) is a powerful tool to explore the dysconnectivity of brain networks in SZ and other disorders. Seed-based functional connectivity analysis, spatial independent component analysis (ICA), and graph theory-based analysis are popular methods to quantify brain network connectivity in R-fMRI data. Widespread network dysconnectivity in SZ has been observed using both seed-based analysis and ICA, although most seed-based studies report decreased connectivity while ICA studies report both increases and decreases. Importantly, most of the findings from both techniques are also associated with typical symptoms of the illness. Disrupted topological properties and altered modular community structure of brain system in SZ have been shown using graph theory-based analysis. Overall, the resting-state findings regarding brain networks deficits have advanced our understanding of the underlying pathology of SZ. In this article, we review aberrant brain connectivity networks in SZ measured in R-fMRI by the above approaches, and discuss future challenges.
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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.