![]() The WU-Minn human connectome project: an overview. Van Essen DC, Smith SM, Barch DM, Behrens TE, Yacoub E, Ugurbil K, et al. A systematic review of associations between functional MRI activity and polygenic risk for schizophrenia and bipolar disorder. 2012 62:2296–314.ĭezhina Z, Ranlund S, Kyriakopoulos M, Williams SCR, Dima D. Schizophrenia, neuroimaging and connectomics. ![]() 2016 73:852–61.įornito A, Zalesky A, Pantelis C, Bullmore ET. Polygenic risk of psychosis and ventral striatal activation during reward processing in healthy adolescentspg. Schizophrenia polygenic risk score predicts mnemonic hippocampal activity. 2014 40:1263–71.Ĭhen Q, Ursini G, Romer AL, Knodt AR, Mezeivtch K, Xiao E, et al. Prefrontal inefficiency is associated with polygenic risk for schizophrenia. Walton E, Geisler D, Lee PH, Hass J, Turner JA, Liu J, et al. Effects of schizophrenia polygenic risk scores on brain activity and performance during working memory subprocesses in healthy young adults. Miller JA, Scult MA, Conley ED, Chen Q, Weinberger DR, Hariri AR. Polygenic risk for schizophrenia associated with working memory-related prefrontal brain activation in patients with schizophrenia and healthy controls. Kauppi K, Westlye LT, Tesli M, Bettella F, Brandt CL, Mattingsdal M, et al. Research review: polygenic methods and their application to psychiatric traits. Wray NR, Lee SH, Mehta D, Vinkhuyzen AAE, Dudbridge F, Middeldorp CM. Common polygenic variation contributes to risk of schizophrenia and bipolar disorder. International Schizophrenia C, Purcell SM, Wray NR, Stone JL, Visscher PM, O’Donovan MC, et al. Altered functional subnetwork during emotional face processing: a potential intermediate phenotype for schizophrenia. 2002 99:3228–33.Ĭao H, Bertolino A, Walter H, Schneider M, Schafer A, Taurisano P, et al. Cortex mapping reveals regionally specific patterns of genetic and disease-specific gray-matter deficits in twins discordant for schizophrenia. 2010 67:939–45.Ĭannon TD, Thompson PM, van Erp TGM, Toga AW, Poutanen VP, Huttunen M, et al. Genetic variation in CACNA1C affects brain circuitries related to mental illness. 2009 324:605.īigos KL, Mattay VS, Callicott JH, Straub RE, Vakkalanka R, Kolachana B, et al. Neural mechanisms of a genome-wide supported psychosis variant. These findings provide the first evidence for connectome-wide associations of schizophrenia polygenic risk at the systems level and suggest that disrupted integration of sensori–cognitive information may be a hallmark of genetic effects on the brain that contributes to the pathogenesis of schizophrenia.Įsslinger C, Walter H, Kirsch P, Erk S, Schnell K, Arnold C, et al. Moreover, using an independent clinical dataset acquired from the Consortium for Neuropsychiatric Phenomics, we further demonstrated that the connectivity of the identified network was reduced in patients with schizophrenia and significantly correlated with general cognitive ability. Such correlation was robustly observed across multiple fMRI paradigms, suggesting a brain-state-independent neural phenotype underlying individual genetic liability to schizophrenia. Here, combining genetic and multiparadigm fMRI data of 623 healthy Caucasian adults drawn from the Human Connectome Project, we found that higher schizophrenia polygenic risk scores were significantly correlated with lower functional connectivity in a large-scale brain network primarily encompassing the visual system, default-mode system, and frontoparietal system. However, the relationships between polygenic risk factors and connectome-wide neural mechanisms are unclear. Schizophrenia is a highly heritable mental disorder characterized by functional dysconnectivity across the brain.
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