Literature DB >> 16595857

Imaging phenotypes and genotypes in schizophrenia.

Jessica A Turner1, Padhraic Smyth, Fabio Macciardi, James H Fallon, James L Kennedy, Steven G Potkin.   

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.

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Year:  2006        PMID: 16595857     DOI: 10.1385/NI:4:1:21

Source DB:  PubMed          Journal:  Neuroinformatics        ISSN: 1539-2791


  157 in total

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Review 9.  Brain-imaging surrogate markers for detection and prevention of age-related memory loss.

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Journal:  J Mol Neurosci       Date:  2002 Aug-Oct       Impact factor: 3.444

10.  Pharmacogenetics of tardive dyskinesia: combined analysis of 780 patients supports association with dopamine D3 receptor gene Ser9Gly polymorphism.

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  11 in total

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Journal:  Korean J Radiol       Date:  2012-06-18       Impact factor: 3.500

3.  Glutamate system genes associated with ventral prefrontal and thalamic volume in pediatric obsessive-compulsive disorder.

Authors:  Paul Daniel Arnold; Frank P Macmaster; Gregory L Hanna; Margaret A Richter; Tricia Sicard; Eliza Burroughs; Yousha Mirza; Phillip C Easter; Michelle Rose; James L Kennedy; David R Rosenberg
Journal:  Brain Imaging Behav       Date:  2009-03-01       Impact factor: 3.978

4.  Bayesian Generalized Low Rank Regression Models for Neuroimaging Phenotypes and Genetic Markers.

Authors:  Hongtu Zhu; Zakaria Khondker; Zhaohua Lu; Joseph G Ibrahim
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Review 5.  Neurobiology of Schizophrenia: A Comprehensive Review.

Authors:  Enkhmaa Luvsannyam; Molly S Jain; Maria Kezia Lourdes Pormento; Hira Siddiqui; Angela Ria A Balagtas; Bernard O Emuze; Teresa Poprawski
Journal:  Cureus       Date:  2022-04-08

6.  Impact of scanner hardware and imaging protocol on image quality and compartment volume precision in the ADNI cohort.

Authors:  Frithjof Kruggel; Jessica Turner; L Tugan Muftuler
Journal:  Neuroimage       Date:  2009-11-12       Impact factor: 6.556

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9.  Guided exploration of genomic risk for gray matter abnormalities in schizophrenia using parallel independent component analysis with reference.

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10.  Blinded prospective evaluation of computer-based mechanistic schizophrenia disease model for predicting drug response.

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Journal:  PLoS One       Date:  2012-12-14       Impact factor: 3.240

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