Functional connectome-wide associations of schizophrenia polygenic risk (original) (raw)
References
Esslinger C, Walter H, Kirsch P, Erk S, Schnell K, Arnold C, et al. Neural mechanisms of a genome-wide supported psychosis variant. Science. 2009;324:605. ArticleCASPubMed Google Scholar
Bigos KL, Mattay VS, Callicott JH, Straub RE, Vakkalanka R, Kolachana B, et al. Genetic variation in CACNA1C affects brain circuitries related to mental illness. Arch Gen Psychiatry. 2010;67:939–45. ArticlePubMedPubMed Central Google Scholar
Cannon TD, Thompson PM, van Erp TGM, Toga AW, Poutanen VP, Huttunen M, et al. Cortex mapping reveals regionally specific patterns of genetic and disease-specific gray-matter deficits in twins discordant for schizophrenia. Proc Natl Acad Sci USA. 2002;99:3228–33. ArticleCASPubMedPubMed Central Google Scholar
Cao H, Bertolino A, Walter H, Schneider M, Schafer A, Taurisano P, et al. Altered functional subnetwork during emotional face processing: a potential intermediate phenotype for schizophrenia. JAMA Psychiatry. 2016;73:598–605. ArticlePubMed Google Scholar
International Schizophrenia C, Purcell SM, Wray NR, Stone JL, Visscher PM, O’Donovan MC, et al. Common polygenic variation contributes to risk of schizophrenia and bipolar disorder. Nature. 2009;460:748–52. ArticleCAS Google Scholar
Wray NR, Lee SH, Mehta D, Vinkhuyzen AAE, Dudbridge F, Middeldorp CM. Research review: polygenic methods and their application to psychiatric traits. J Child Psychol Psychiatry. 2014;55:1068–87. ArticlePubMed Google Scholar
Kauppi K, Westlye LT, Tesli M, Bettella F, Brandt CL, Mattingsdal M, et al. Polygenic risk for schizophrenia associated with working memory-related prefrontal brain activation in patients with schizophrenia and healthy controls. Schizophr Bull. 2015;41:736–43. ArticlePubMed Google Scholar
Miller JA, Scult MA, Conley ED, Chen Q, Weinberger DR, Hariri AR. Effects of schizophrenia polygenic risk scores on brain activity and performance during working memory subprocesses in healthy young adults. Schizophr Bull. 2018;44:844–53. ArticlePubMed Google Scholar
Walton E, Geisler D, Lee PH, Hass J, Turner JA, Liu J, et al. Prefrontal inefficiency is associated with polygenic risk for schizophrenia. Schizophr Bull. 2014;40:1263–71. ArticlePubMed Google Scholar
Chen Q, Ursini G, Romer AL, Knodt AR, Mezeivtch K, Xiao E, et al. Schizophrenia polygenic risk score predicts mnemonic hippocampal activity. Brain. 2018;141:1218–28. ArticlePubMedPubMed Central Google Scholar
Lancaster TM, Linden DE, Tansey KE. Polygenic risk of psychosis and ventral striatal activation during reward processing in healthy adolescentspg. JAMA Psychiatry. 2016;73:852–61. ArticlePubMed Google Scholar
Fornito A, Zalesky A, Pantelis C, Bullmore ET. Schizophrenia, neuroimaging and connectomics. Neuroimage. 2012;62:2296–314. ArticlePubMed Google Scholar
Dezhina Z, Ranlund S, Kyriakopoulos M, Williams SCR, Dima D. A systematic review of associations between functional MRI activity and polygenic risk for schizophrenia and bipolar disorder. Brain Imaging Behav. 2019;13:862–77. ArticlePubMed Google Scholar
Van Essen DC, Smith SM, Barch DM, Behrens TE, Yacoub E, Ugurbil K, et al. The WU-Minn human connectome project: an overview. Neuroimage. 2013;80:62–79. ArticlePubMed Google Scholar
Cao H, Chen OY, Chung Y, Forsyth JK, McEwen SC, Gee DG, et al. Cerebello-thalamo-cortical hyperconnectivity as a state-independent functional neural signature for psychosis prediction and characterization. Nat Commun. 2018;9:3836. ArticlePubMedPubMed CentralCAS Google Scholar
Cao H, Ingvar M, Hultman CM, Cannon T. Evidence for cerebello-thalamo-cortical hyperconnectivity as a heritable trait for schizophrenia. Transl Psychiatry. 2019;9:192. ArticlePubMedPubMed Central Google Scholar
Poldrack RA, Congdon E, Triplett W, Gorgolewski KJ, Karlsgodt KH, Mumford JA, et al. A phenome-wide examination of neural and cognitive function. Sci Data. 2016;3:160110. ArticleCASPubMedPubMed Central Google Scholar
Chang CC, Chow CC, Tellier LC, Vattikuti S, Purcell SM, Lee JJ. Second-generation PLINK: rising to the challenge of larger and richer datasets. Gigascience. 2015;4:7. ArticlePubMedPubMed CentralCAS Google Scholar
Euesden J, Lewis CM, O’Reilly PF. PRSice: polygenic risk score software. Bioinformatics. 2015;31:1466–8. ArticleCASPubMed Google Scholar
Schizophrenia Working Group of the Psychiatric Genomics C. Biological insights from 108 schizophrenia-associated genetic loci. Nature. 2014;511:421–7. ArticleCAS Google Scholar
Power JD, Cohen AL, Nelson SM, Wig GS, Barnes KA, Church JA, et al. Functional network organization of the human brain. Neuron. 2011;72:665–78. ArticleCASPubMedPubMed Central Google Scholar
Cao H, McEwen SC, Forsyth JK, Gee DG, Bearden CE, Addington J, et al. Toward leveraging human connectomic data in large consortia: generalizability of fMRI-based brain graphs across sites, sessions, and paradigms. Cereb Cortex. 2019;29:1263–79.
Zalesky A, Fornito A, Bullmore ET. Network-based statistic: identifying differences in brain networks. Neuroimage. 2010;53:1197–207. ArticlePubMed Google Scholar
Cao H, Harneit A, Walter H, Erk S, Braun U, Moessnang C, et al. The 5-HTTLPR polymorphism affects network-based functional connectivity in the visual-limbic system in healthy adults. Neuropsychopharmacology. 2018;43:406–14. ArticleCASPubMed Google Scholar
Andreasen NC. Methods for assessing positive and negative symptoms. Schizophrenia: positive and negative symptoms and syndromes. Karger: Basel, Switzerland, 1990, 73–88.
Mendrek A, Mancini-Marie A. Sex/gender differences in the brain and cognition in schizophrenia. Neurosci Biobehav Rev. 2016;67:57–78. ArticlePubMed Google Scholar
Torniainen M, Suvisaari J, Partonen T, Castaneda AE, Kuha A, Perala J, et al. Sex differences in cognition among persons with schizophrenia and healthy first-degree relatives. Psychiatry Res. 2011;188:7–12. ArticlePubMed Google Scholar
Cao H, Dixson L, Meyer-Lindenberg A, Tost H. Functional connectivity measures as schizophrenia intermediate phenotypes: advances, limitations, and future directions. Curr Opin Neurobiol. 2016;36:7–14. ArticleCASPubMed Google Scholar
Fornito A, Bullmore ET. Connectomic intermediate phenotypes for psychiatric disorders. Front Psychiatry. 2012;3:32. PubMedPubMed Central Google Scholar
Rasetti R, Sambataro F, Chen Q, Callicott JH, Mattay VS, Weinberger DR. Altered cortical network dynamics: a potential intermediate phenotype for schizophrenia and association with ZNF804A. Arch Gen Psychiatry. 2011;68:1207–17. ArticlePubMed Google Scholar
Fornito A, Harrison BJ, Goodby E, Dean A, Ooi C, Nathan PJ, et al. Functional dysconnectivity of corticostriatal circuitry as a risk phenotype for psychosis. JAMA Psychiatry. 2013;70:1143–51. ArticlePubMed Google Scholar
Rasetti R, Mattay VS, White MG, Sambataro F, Podell JE, Zoltick B, et al. Altered hippocampal-parahippocampal function during stimulus encoding: a potential indicator of genetic liability for schizophrenia. JAMA Psychiatry. 2014;71:236–47. ArticlePubMed Google Scholar
Liu S, Li A, Liu Y, Yan H, Wang M, Sun Y, et al. Polygenic effects of schizophrenia on hippocampal grey matter volume and hippocampus-medial prefrontal cortex functional connectivity. Br J Psychiatry. 2019: 1–8. https://doi.org/10.1192/bjp.2019.127 [Epub ahead of print].
Wang T, Zhang X, Li A, Zhu M, Liu S, Qin W, et al. Polygenic risk for five psychiatric disorders and cross-disorder and disorder-specific neural connectivity in two independent populations. Neuroimage Clin. 2017;14:441–9. ArticlePubMedPubMed Central Google Scholar
Lieslehto J, Kiviniemi VJ, Nordstrom T, Barnett JH, Murray GK, Jones PB, et al. Polygenic risk score for schizophrenia and face-processing network in young adulthood. Schizophr Bull. 2019;45:835–45. ArticlePubMed Google Scholar
Zmigrod L, Garrison JR, Carr J, Simons JS. The neural mechanisms of hallucinations: a quantitative meta-analysis of neuroimaging studies. Neurosci Biobehav Rev. 2016;69:113–23. ArticlePubMed Google Scholar
Silbersweig DA, Stern E, Frith C, Cahill C, Holmes A, Grootoonk S, et al. A functional neuroanatomy of hallucinations in schizophrenia. Nature. 1995;378:176–9. ArticleCASPubMed Google Scholar
Baker JT, Holmes AJ, Masters GA, Yeo BT, Krienen F, Buckner RL, et al. Disruption of cortical association networks in schizophrenia and psychotic bipolar disorder. JAMA Psychiatry. 2014;71:109–18. ArticlePubMedPubMed Central Google Scholar
Baker JT, Dillon DG, Patrick LM, Roffman JL, Brady RO Jr., Pizzagalli DA, et al. Functional connectomics of affective and psychotic pathology. Proc Natl Acad Sci USA. 2019;116:9050–9. ArticleCASPubMedPubMed Central Google Scholar
Whitfield-Gabrieli S, Ford JM. Default mode network activity and connectivity in psychopathology. Annu Rev Clin Psychol. 2012;8:49–76. ArticlePubMed Google Scholar
Orliac F, Naveau M, Joliot M, Delcroix N, Razafimandimby A, Brazo P, et al. Links among resting-state default-mode network, salience network, and symptomatology in schizophrenia. Schizophr Res. 2013;148:74–80. ArticlePubMed Google Scholar
Kahn RS, Keefe RS. Schizophrenia is a cognitive illness: time for a change in focus. JAMA Psychiatry. 2013;70:1107–12. ArticlePubMed Google Scholar
Elvevag B, Goldberg TE. Cognitive impairment in schizophrenia is the core of the disorder. Crit Rev Neurobiol. 2000;14:1–21. ArticleCASPubMed Google Scholar
Seidman LJ, Shapiro DI, Stone WS, Woodberry KA, Ronzio A, Cornblatt BA, et al. Association of neurocognition with transition to psychosis: baseline functioning in the second phase of the North American Prodrome Longitudinal Study. JAMA Psychiatry. 2016;73:1239–48. ArticlePubMedPubMed Central Google Scholar
Toulopoulou T, Picchioni M, Rijsdijk F, Hua-Hall M, Ettinger U, Sham P, et al. Substantial genetic overlap between neurocognition and schizophrenia—genetic modeling in twin samples. Arch Gen Psychiatry. 2007;64:1348–55. ArticlePubMed Google Scholar
Lencz T, Knowles E, Davies G, Guha S, Liewald DC, Starr JM, et al. Molecular genetic evidence for overlap between general cognitive ability and risk for schizophrenia: a report from the Cognitive Genomics consorTium (COGENT). Mol Psychiatry. 2014;19:168–74. ArticleCASPubMed Google Scholar
Hubbard L, Tansey KE, Rai D, Jones P, Ripke S, Chambert KD, et al. Evidence of common genetic overlap between schizophrenia and cognition. Schizophr Bull. 2016;42:832–42. ArticlePubMed Google Scholar
Halari R, Kumari V, Mehrotra R, Wheeler M, Hines M, Sharma T. The relationship of sex hormones and cortisol with cognitive functioning in Schizophrenia. J Psychopharmacol. 2004;18:366–74. ArticleCASPubMed Google Scholar
Hilker R, Helenius D, Fagerlund B, Skytthe A, Christensen K, Werge TM, et al. Heritability of schizophrenia and schizophrenia spectrum based on the Nationwide Danish Twin Register. Biol Psychiatry. 2018;83:492–8. ArticlePubMed Google Scholar
Lee SH, Ripke S, Neale BM, Faraone SV, Purcell SM, Perlis RH, et al. Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs. Nature Genetics. 2013;45:984–94. ArticlePubMedCAS Google Scholar