ReviewDialogues in clinical neuroscience2013
Functional neuroimaging and schizophrenia: a view towards effective connectivity modeling and polygenic risk.
Review in Dialogues in clinical neuroscience, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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.
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Who cites it
19 citing papers in PubMed, 38 citations in OpenAlex.
- Resting-state degree centrality and Granger causality analysis in relation to facial working memory in patients with first-episode schizophrenia.BMC psychiatry · 2025Article
- Corticostriatal causality analysis in children and adolescents with attention-deficit/hyperactivity disorder.Psychiatry and clinical neurosciences · 2024Article
- Blunted brain responses to neutral faces in healthy first-degree relatives of patients with schizophrenia: an image-based fMRI meta-analysis.Schizophrenia (Heidelberg, Germany) · 2024Review
- Article
- Diagnosis of Schizophrenia Based on the Data of Various Modalities: Biomarkers and Machine Learning Techniques (Review).Sovremennye tekhnologii v meditsine · 2022Review
- Article
- The interaction between OXTR rs2268493 and perceived maternal care is associated with amygdala-dorsolateral prefrontal effective connectivity during explicit emotion processing.European archives of psychiatry and clinical neuroscience · 2020Article
- Reduced Dynamic Interactions Within Intrinsic Functional Brain Networks in Early Blind Patients.Frontiers in neuroscience · 2019Article
- Polygenic risk score for schizophrenia and structural brain connectivity in older age: A longitudinal connectome and tractography study.NeuroImage · 2018Article
- Familial Risk and a Genome-Wide Supported DRD2 Variant for Schizophrenia Predict Lateral Prefrontal-Amygdala Effective Connectivity During Emotion Processing.Schizophrenia bulletin · 2018Article
- The use of antioxidant compounds in the treatment of first psychotic episode: Highlights from preclinical studies.CNS neuroscience & therapeutics · 2018Review
- Genetic insights into the neurodevelopmental origins of schizophrenia.Nature reviews. Neuroscience · 2017Review
- Central and non-central networks, cognition, clinical symptoms, and polygenic risk scores in schizophrenia.Human brain mapping · 2017Article
- Modeling a linkage between blood transcriptional expression and activity in brain regions to infer the phenotype of schizophrenia patients.NPJ schizophrenia · 2017Article
- Disruptions in the left frontoparietal network underlie resting state endophenotypic markers in schizophrenia.Human brain mapping · 2017Article
- Altering the course of schizophrenia: progress and perspectives.Nature reviews. Drug discovery · 2016Review
- Functional Magnetic Resonance Imaging Methods.Neuropsychology review · 2015Review
- Sparse models for correlative and integrative analysis of imaging and genetic data.Journal of neuroscience methods · 2014Review
- Animal Models of Psychosis: Current State and Future Directions.Current behavioral neuroscience reports · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We review critical trends in imaging genetics as applied to schizophrenia research, and then discuss some future directions of the field. A plethora of imaging genetics studies have investigated the impact of genetic variation on brain function, since the paradigm of a neuroimaging intermediate phenotype for schizophrenia first emerged. It was initially posited that the effects of schizophrenia susceptibility genes would be more penetrant at the level of biologically based neuroimaging intermediate phenotypes than at the level of a complex and phenotypically heterogeneous psychiatric syndrome. The results of many studies support this assumption, most of which show single genetic variants to be associated with changes in activity of localized brain regions, as determined by select cognitive controlled tasks. From these basic studies, functional neuroimaging analysis of intermediate phenotypes has progressed to more complex and realistic models of brain dysfunction, incorporating models of functional and effective connectivity, including the modalities of psycho-physiological interaction, dynamic causal modeling, and graph theory metrics. The genetic association approaches applied to imaging genetics have also progressed to more sophisticated multivariate effects, including incorporation of two-way and three-way epistatic interactions, and most recently polygenic risk models. Imaging genetics is a unique and powerful strategy for understanding the neural mechanisms of genetic risk for complex CNS disorders at the human brain level.
Indexed as
Identifiers
24174900PMC3811100W2113494365What OpenQuestion holds
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.