ReviewNeuroinformatics2006
Imaging phenotypes and genotypes in schizophrenia.
Review in Neuroinformatics, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
14 citing papers in PubMed.
- Estimation for the bivariate quantile varying coefficient model with application to diffusion tensor imaging data analysis.Biostatistics (Oxford, England) · 2023Article
- The Difficult Path to the Discovery of Novel Treatments in Psychiatric Disorders.Advances in neurobiology · 2023Article
- Review
- Structured Genome-Wide Association Studies with Bayesian Hierarchical Variable Selection.Genetics · 2019Article
- Imaging Genetics Towards a Refined Diagnosis of Schizophrenia.Frontiers in psychiatry · 2019Review
- Altered integrity of the right arcuate fasciculus as a trait marker of schizophrenia: a sibling study using tractography-based analysis of the whole brain.Human brain mapping · 2015Article
- The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data.Brain imaging and behavior · 2014Review
- Bayesian Generalized Low Rank Regression Models for Neuroimaging Phenotypes and Genetic Markers.Journal of the American Statistical Association · 2014Article
- Guided exploration of genomic risk for gray matter abnormalities in schizophrenia using parallel independent component analysis with reference.NeuroImage · 2013Article
- Blinded prospective evaluation of computer-based mechanistic schizophrenia disease model for predicting drug response.PloS one · 2012Article
- Impact of scanner hardware and imaging protocol on image quality and compartment volume precision in the ADNI cohort.NeuroImage · 2010Article
- Gene discovery through imaging genetics: identification of two novel genes associated with schizophrenia.Molecular psychiatry · 2009Article
- Glutamate system genes associated with ventral prefrontal and thalamic volume in pediatric obsessive-compulsive disorder.Brain imaging and behavior · 2009Article
- Influence of signal intensity non-uniformity on brain volumetry using an atlas-based method.Korean journal of radiologyArticle
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 is associated with subtle structural and functional brain abnormalities. Both recent and classical data suggest that it is a heterogeneous disorder that is clearly heritable. The cause and course of schizophrenia are poorly understood, and classical categories of clinical symptoms have not been particularly useful in identifying its pathophysiology or predicting its treatment. The possible genetic risk factors for schizophrenia are numerous; however, the connection between the genotype and the time-course, or the multifaceted symptoms of the disease, has yet to be established. Brain imaging methods that study the structure or function of the cortical and subcortical regions have also identified distinct patterns that distinguish schizophrenics from controls, and that may identify meaningful subtypes of schizophrenia. The predictive relationship between these imaging phenotypes and disease characteristics such as treatment response is only beginning to be revealed. The emergence of the field of imaging genetics, combining genetic, and neuroimaging data, holds much promise for the deeper understanding and improved treatment of diseases such as schizophrenia. In this article we review some of the key findings in imaging phenotyping and genotyping of schizophrenia, and the initial endeavors at their combination into more meaningful and predictive patterns, or endophenotypes identifying the relationships among clinical symptoms, course, genes, and the underlying pathophysiology.
Indexed as
Identifiers
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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.