REFERENCES

1. Weinberger DR., Mattay V., Callicott J., et al fMRI applications in schizophrenia research. Neuroimage. 1996;4:S118–S126. [PubMed]

2. Bookheimer SY., Strojwas MH., Cohen MS., et al Patterns of brain activation in people at risk for Alzheimer's disease. N Engl J Med. 2000;343:450–456. [PMC free article] [PubMed]

3. Egan MR., Goldberg TE., Kolachana BS., et al Effect of COMT Val108/1 58 Met genotype on frontal lobe function and risk for schizophrenia. Proc Natl Acad Sci U S A. 2001;98:6917–6922. [PMC free article] [PubMed]

4. Egan MF., Weinberger DR. Neurobiology of schizophrenia. Curr Opin Neurobiol. 1997;7:701–707. [PubMed]

5. Castelli WP., Anderson K., Wilson PW., Levy D. Lipids and risk of coronary heart disease. The Framingham Study. Ann Epidemiol. 1992;2:23–28. [PubMed]

6. O'Connor DT., Insel PA., Ziegler MG., et al Heredity and the autonomic nervous system in human hypertension. Curr Hypertens Rep. 2000;2:16–22. [PubMed]

7. Gottesman II., Gould TD. The endophenotype concept in psychiatry: etymology and strategic intentions. Am J Psychiatry. 2003;160:636–645. [PubMed]

8. Tan HY., Callicott JH., Weinberger DR. Intermediate phenotypes in schizophrenia genetics redux: is it a no brainer? Mol Psychiatry. 2008;13:233–238. [PubMed]

9. Cannon TD., Zorrilla LE., Shtasel D., et al Neuropsychological functioning in siblings discordant for schizophrenia and healthy volunteers. Arch Gen Psychiatry. 1994;51:651–661. [PubMed]

10. Goldberg TE., Torrey EF., Gold JM., et al Genetic risk of neuropsychological impairment in schizophrenia: a study of monozygotic twins discordant and concordant for the disorder. Schizophr Res. 1995;17:77–84. [PubMed]

11. Toulopoulou T., Picchioni M., Rijsdijk F., et al Substantial genetic overlap between neurocognition and schizophrenia: genetic modeling in twin samples. Arch Gen Psychiatry. 2007;64:1348–1355. [PubMed]

12. Egan MF., Goldberg TE., Gscheidle T., et al Relative risk for cognitive impairments in siblings of patients with schizophrenia. Biol Psychiatry. 2001;50:98–107. [PubMed]

13. Callicott JH., Egan MF., Mattay VS., et al Abnormal fMRI response of the dorsolateral prefrontal cortex in cognitively intact siblings of patients with schizophrenia. Am. J Psychiatry. 2003;160:709–719. [PubMed]

14. Rasetti R., Weinberger DR. Intermediate phenotypes in psychiatric disorders. CurrOpin Genet Dev. 2011;21:340–348. [PMC free article] [PubMed]

15. Honea R., Crow TJ., Passingham D., Mackay CE. Regional deficits in brain volume in schizophrenia: a meta-analysis of voxel-based morphometry studies. Am J Psychiatry. 2005;162:2233–2245. [PubMed]

16. Shenton ME., Dickey CC., Frumin M., McCarley RW. A review of MRI findings in schizophrenia. Schizophr Res. 2001;49:1–52. [PMC free article] [PubMed]

17. Wright IC., Rabe-Hesketh S., Woodruff PW., David AS., Murray RM., Bullmore ET. Meta-analysis of regional brain volumes in schizophrenia. Am J Psychiatry. 2000;157:16–25. [PubMed]

18. Weinberger DR., McClure RK. Neurotoxicity, neuroplasticity, and magnetic resonance imaging morphometry: what is happening in the schizophrenic brain? Arch Gen Psychiatry. 2002;59:553–558. [PubMed]

19. Hajnal JV., Saeed N., Oatridge A., et al Detection of subtle brain changes using subvoxel registration and subtraction of serial MR images. J Comput Assist Tomogr. 1995;19:677–691. [PubMed]

20. Swayze VW 2nd., Andersen A., Arndt S., et al Reversibility of brain tissue loss in anorexia nervosa assessed with a computerized Talairach 3-D proportional grid. Psychol Med. 1996;26:381–390. [PubMed]

21. Schroth G., Naegele T., Klose U., Mann K., Petersen D. Reversible brain shrinkage in abstinent alcoholics, measured by MRI. Neuroradiology. 1988;30:385–389. [PubMed]

22. Denton ER., Holden M., Christ E., et al The identification of cerebral volume changes in treated growth hormone-deficient adults using serial 3D MR image processing. J Comput Assist Tomogr. 2000;24:139–145. [PubMed]

23. Moore GJ., Bebchuk JM., Wilds IB., Chen G., Manji HK. Lithium-induced increase in human brain grey matter. Lancet. 2000;356:1241–1242. [PubMed]

24. Scheepers FE., de Wied CC., Hulshoff Pol HE., et al The effect of clozapine on caudate nucleus volume in schizophrenic patients previously treated with typical antipsychotics. Neuropsychopharmacology. 2001;24:47–54. [PubMed]

25. Corson PW., Nopoulos P., Miller DD., Arndt S., Andreasen NC. Change in basal ganglia volume over 2 years in patients with schizophrenia: typical versus atypical neuroleptics. Am J Psychiatry. 1999;156:1200–1204. [PubMed]

26. Honea RA., Meyer-Lindenberg A., Hobbs KB., et al Is gray matter volume an intermediate phenotype for schizophrenia? A voxel-based morphometry study of patients with schizophrenia and their healthy siblings. Biol Psychiatry. 2008;63:465–474. [PMC free article] [PubMed]

27. Owens SF., Picchioni MM., Ettinger U., et al Prefrontal deviations in function but not volume are putative endophenotypes for schizophrenia. Brain. 2012;135:2231–2244. [PMC free article] [PubMed]

28. Greicius MD., Krasnow B., Reiss AL., Menon V. Functional connectivity in the resting brain: a network analysis of the default mode hypothesis. Proc Natl Acad Sci USA. 2003;100:253–258. [PMC free article] [PubMed]

29. Broyd SJ., Demanuele C., Debener S., Helps SK., James CJ., Sonuga-Barke EJ. Default-mode brain dysfunction in mental disorders: a systematic review. Neurosci Biobehav Rev. 2009;33:279–296. [PubMed]

30. van den Heuvel MP., Hulshoff Pol HE. Exploring the brain network: a review on resting-state fMRI functional connectivity. Eur Neuropsychopharmacol. 2010;20:519–534. [PubMed]

31. Samartzis L., Dima D., Fusar-Poli P., Kyriakopoulos M. White matter alterations in early stages of schizophrenia: a systematic review of diffusion tensor imaging studies. J Neuroimag. In press. 2013;doi 10.1 111/J.:1552–6569. [PubMed]

32. Whitford TJ., Kubicki M., Shenton ME. Diffusion tensor imaging, structural connectivity, and schizophrenia. Schizophr Res Treatment. In press. 2011;doi 10.1155/2011/709523 [PMC free article] [PubMed]

33. Buckner RL., Krienen FM., Yeo BT. Opportunities and limitations of intrinsic functional connectivity MRI. Nat Neurosci. 2013;16:832–837. [PubMed]

34. Jones DK., Knosche TR., Turner R. White matter integrity, fiber count, and other fallacies: the do's and don'ts of diffusion MRI. Neuroimage. 2013;73:239–254. [PubMed]

35. Logothetis NK. What we can do and what we cannot do with fMRI. Nature. 2008;453:869–878. [PubMed]

36. Douglas RJ., Martin KA. Neuronal circuits of the neocortex. Annu Rev Neurosci. 2004;27:419–451. [PubMed]

37. Brunei N., Wang XJ. Effects of neuromodulation in a cortical network model of object working memory dominated by recurrent inhibition. J Comput Neurosci. 2001;11:63–85. [PubMed]

38. Rockel AJ., Hiorns RW., Powell TP. The basic uniformity in structure of the neocortex. Brain. 1980;103:221–244. [PubMed]

39. Egan MF., Straub RE., Goldberg TE., et al Variation in GRM3 affects cognition, prefrontal glutamate, and risk for schizophrenia. Proc Natl Acad Sci U S A. 2004;101:12604–12609. [PMC free article] [PubMed]

40. Hariri AR., Mattay VS., Tessitore A., et al Serotonin transporter genetic variation and the response of the human amygdala. Science. 2002;297:400–403. [PubMed]

41. Rasetti R., Weinberger DR. Intermediate phenotypes in psychiatric disorders. Curr Opin Genet Dev. 2011;21:348–340. [PMC free article] [PubMed]

42. Sambataro F., Mattay VS., Thurin K., et al Altered cerebral response during cognitive control: a potential indicator of genetic liability for schizophrenia. Neuropsychopharmacology. 2013;38:846–853. [PMC free article] [PubMed]

43. Di Giorgio A., Gelao B., Caforio G., et al Evidence that hippocampalparahippocampal dysfunction is related to genetic risk for schizophrenia. Psychol Med. 2012:1–11.

44. Friston KJ. Functional and effective connectivity in neuroimaging: a synthesis. Hum. Brain Mapp. 1994;2:56–78.

45. Meyer-Lindberg A., Bullmore E. Functional brain imaging in schizophrenia. In: Schizophrenia. Third Ed. Oxford, UK: Blackwell Publishing Ltd;2011;:334–353.

46. Honey GD., Bullmore ET., Sharma T. De-coupling of cognitive performance and cerebral functional response during working memory in schizophrenia. Schizophr Res. 2002;53:45–56. [PubMed]

47. Anticevic A., Repovs G., Crystal JH., Barch DM. A broken filter: prefrontal functional connectivity abnormalities in schizophrenia during working memory interference. Schizophr Res. 2012;141:8–14. [PMC free article] [PubMed]

48. Wolf DH., Gur RC., Valdez JN., et al Alterations of fronto-temporal connectivity during word encoding in schizophrenia. Psychiatry Res. 2007;154:221–232. [PMC free article] [PubMed]

49. Wolf RC., Vasic N., Sambataro F., et al Temporally anticorrelated brain networks during working memory performance reveal aberrant prefrontal and hippocampal connectivity in patients with schizophrenia. Prog Neuropsychopharmacol Biol Psychiatry. 2009;33:1464–1473. [PubMed]

50. Tan HY., Chen Q., Goldberg TE., et al Catechol-O-methyltransferase Val158Met modulation of prefrontal-parietal-striatal brain systems during arithmetic and temporal transformations in working memory. J Neurosci. 2007;27:13393–13401. [PubMed]

51. Kempf L., Nlcodemus KK., Kolachana B., et al Functional polymorphisms in PRODH are associated with risk and protection for schizophrenia and fronto-striatal structure and function. PLoS Genet. 2008;4:e1000252. [PMC free article] [PubMed]

52. Meyer-Lindenberg A., Straub RE., Lipska BK., et al Genetic evidence implicating DARPP-32 in human frontostriatal structure, function, and cognition. J Clin Invest. 2007;117:672–682. [PMC free article] [PubMed]

53. Buckholtz JW., Meyer-Lindenberg A., Honea RA., et al Allelic variation in RGS4 impacts functional and structural connectivity in the human brain. J Neurosci. 2007;27:1584–1593. [PubMed]

54. Paulus FM., Bedenbender J., Krach S., et al Association of rs1006737 in CACIMA1C with alterations in prefrontal activation and fronto-hippocampal connectivity. Hum Brain Mapp. 2013;34:304–313. [PubMed]

55. Friston KJ., Buechel C., Fink GR., Morris J., Rolls E., Dolan RJ. Psychophysiological and modulatory interactions in neuroimaging. Neurolmage. 1997;6:218–229. [PubMed]

56. 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;68:1207–1217. [PubMed]

57. KJ Friston., B Li., J Daunizeau., KE Stephan. Network discovery with DCM. Neurolmage. 2011;56:1202–1221. [PMC free article] [PubMed]

58. Tost H., Bilek E., Meyer-Lindenberg A. Brain connectivity in psychiatric imaging genetics. Neuroimage. 2012;62:2250–2260. [PubMed]

59. Friston KJ., Harrison L., Penny W. Dynamic causal modelling. Neuroimage. 2003;19:1273–1302. [PubMed]

60. Stephan KE., Penny WD., Moran RJ., den Ouden HE., Daunizeau J., Friston KJ. Ten simple rules for dynamic causal modeling. Neuroimage. 2010;49:3099–3109. [PMC free article] [PubMed]

61. Tan HY., Chen AG., Kolachana B., et al Effective connectivity of AKT1mediated dopaminergic working memory networks and pharmacogenetics of anti-dopaminergic treatment. Brain. 2012;135:1436–1445. [PMC free article] [PubMed]

62. Dauvermann MR., Whalley HC., Romaniuk L., et al The application of nonlinear Dynamic Causal Modelling for fMRI in subjects at high genetic risk of schizophrenia. Neuroimage. 2013;73:16–29. [PubMed]

63. Curcic-Blake B., Swart M., Ter Horst GJ., Langers DR., Kema IP., Aleman A. Variation of the gene coding for DARPP-32 (PPP1R1B) and brain connectivity during associative emotional learning. Neuroimage. 2012;59:1540–1550. [PubMed]

64. Achard S., Salvador R., Whitcher B., Suckling J., Bullmore E. A resilient, low-frequency, small-world human brain functional network with highly connected association cortical hubs. J Neurosci. 2006;26:63–72. [PubMed]

65. Bullmore E., Bassett D. Brain graphs: graphical models of the human brain connectome. Annu Rev Clin Psychol. 2011;7:113–140. [PubMed]

66. Bassett DS., Nelson BG., Mueller BA., Camchong J., Lim KO. Altered resting state complexity in schizophrenia. Neuroimage. 2012;59:2196–2207. [PMC free article] [PubMed]

67. Bullmore ET., Bassett DS. Brain graphs: graphical models of the human brain connectome. Annu Rev Clin Psychol. 2011;7:113–140. [PubMed]

68. Liu Y., Liang M., Zhou Y., et al Disrupted small-world networks in schizophrenia. Brain. 2008;131(Pt 4):945–961. [PubMed]

69. Bassett DS., Bullmore E., Verchinski BA., et al Hierarchical organization of human cortical networks in health and schizophrenia. J Neurosci. 2008;28:9239–9248. [PMC free article] [PubMed]

70. Smit DJ., Stam CJ., Posthuma D., Boomsma Dl., de Geus EJ. Heritability of “small-world” networks in the brain: a graph theoretical analysis of resting-state EEG functional connectivity. Hum Brain Mapp. 2008;29:1368–1378. [PubMed]

71. International Schizophrenia Consortium: Purcell SM, Wray NR, Stone JL, et al. Common polygenic variation contributes to risk of schizophrenia and bipolar disorder. Nature. 2009;460:748–752. [PubMed]

72. Tan HY., Chen Q., Sust S., et al Epistasis between catechol-O-methyltransferase and type II metabotropic glutamate receptor 3 genes on working memory brain function. Proc Natl Acad Sci US A. 2007;104:12536–12541. [PMC free article] [PubMed]

73. Nicodemus KK., Law AJ., Radulescu E., et al Biological validation of increased schizophrenia risk with NRG1, ERBB4, and AKT1 epistasis via functional neuroimaging in healthy controls. Arch Gen Psychiatry. 2010;67:991–1001. [PubMed]

74. Nicodemus KK., Callicott JH., Higier RG., et al Evidence of statistical epistasis between DISCI, CITand NDEL1 impacting risk for schizophrenia: biological validation with functional neuroimaging. Hum Genet. 2010;127:441–452. [PubMed]

75. Roffman JL., Weiss AP., Deckersbach T., et al Interactive effects of COMT Val108/158Met and MTHFR C677T on executive function in schizophrenia. Am J Med Genet B Neuropsychiatr Genet. 2008;147B:990–995. [PubMed]

76. Buckholtz JW., Sust S., Tan HY., et al fMRI evidence for functional epistasis between COMT and RGS4. Mol Psychiatry. 2007;12:893–895,885. [PubMed]

77. Dudbridge F. Power and predictive accuracy of pBullmore E., Verchinski BA., et al Hierarchical organization of human cortical networks in health and schizophrenia. J Neurosci. 2008;28:9239–9248. [PMC free article] [PubMed]

70. Smit DJ., Stam CJ., Posthuma D., Boomsma Dl., de Geus EJ. Heritability of “small-world” networks in the brain: a graph theoretical analysis of resting-state EEG functional connectivity. Hum Brain Mapp. 2008;29:1368–1378. [PubMed]

71. International Schizophrenia Consortium: Purcell SM, Wray NR, Stone JL, et al. Common polygenic variation contributes to risk of schizophrenia and bipolar disorder. Nature. 2009;460:748–752. [PubMed]

72. Tan HY., Chen Q., Sust S., et al Epistasis between catechol-O-methyltransferase and type II metabotropic glutamate receptor 3 genes on working memory brain function. Proc Natl Acad Sci US A. 2007;104:12536–12541. [PMC free article] [PubMed]

73. Nicodemus KK., Law AJ., Radulescu E., et al Biological validation of increased schizophrenia risk with NRG1, ERBB4, and AKT1 epistasis via functional neuroimaging in healthy controls. Arch Gen Psychiatry. 2010;67:991–1001. [PubMed]

74. Nicodemus KK., Callicott JH., Higier RG., et al Evidence of statistical epistasis between DISCI, CITand NDEL1 impacting risk for schizophrenia: biological validation with functional neuroimaging. Hum Genet. 2010;127:441–452. [PubMed]

75. Roffman JL., Weiss AP., Deckersbach T., et al Interactive effects of COMT Val108/158Met and MTHFR C677T on executive function in schizophrenia. Am J Med Genet B Neuropsychiatr Genet. 2008;147B:990–995. [PubMed]

76. Buckholtz JW., Sust S., Tan HY., et al fMRI evidence for functional epistasis between COMT and RGS4. Mol Psychiatry. 2007;12:893–895,885. [PubMed]

77. Dudbridge F. Power and predictive accuracy of polygenic risk scores. PLoS Genet. 2013;9:e1003348. [PMC free article] [PubMed]

78. Walton E., Turner J., Gollub RL., et al Cumulative genetic risk and prefrontal activity in patients with schizophrenia. Schizophr Bull. 2013;39:703–711. [PMC free article] [PubMed]

79. Holmes AJ., Lee PH., Hollinshead MO., et al Individual differences in amygdala-medial prefrontal anatomy link negative affect, impaired social functioning, and polygenic depression risk. J Neurosci. 2012;32:18087–18100. [PMC free article] [PubMed]

80. Whalley HC., Papmeyer M., Sprooten E., et al The influence of polygenic risk for bipolar disorder on neural activation assessed using fMRI. Transl Psychiatry. 2012;2:e130. [PMC free article] [PubMed]