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Neurobiology of the major psychoses: a translational perspective on brain structure and function—the FOR2107 consortium

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European Archives of Psychiatry and Clinical Neuroscience Aims and scope Submit manuscript

Abstract

Genetic (G) and environmental (E) factors are involved in the etiology and course of the major psychoses (MP), i.e. major depressive disorder (MDD), bipolar disorder (BD), schizoaffective disorder (SZA) and schizophrenia (SZ). The neurobiological correlates by which these predispositions exert their influence on brain structure, function and course of illness are poorly understood. In the FOR2107 consortium, animal models and humans are investigated. A human cohort of MP patients, healthy subjects at genetic and/or environmental risk, and control subjects (N = 2500) has been established. Participants are followed up after 2 years and twice underwent extensive deep phenotyping (MR imaging, clinical course, neuropsychology, personality, risk/protective factors, biomaterials: blood, stool, urine, hair, saliva). Methods for data reduction, quality assurance for longitudinal MRI data, and (deep) machine learning techniques are employed. In the parallelised animal cluster, genetic risk was introduced by a rodent model (Cacna1c deficiency) and its interactions with environmental risk and protective factors are studied. The animals are deeply phenotyped regarding cognition, emotion, and social function, paralleling the variables assessed in humans. A set of innovative experimental projects connect and integrate data from the human and animal parts, investigating the role of microRNA, neuroplasticity, immune signatures, (epi-)genetics and gene expression. Biomaterial from humans and animals are analyzed in parallel. The FOR2107 consortium will delineate pathophysiological entities with common neurobiological underpinnings (“biotypes”) and pave the way for an etiologic understanding of the MP, potentially leading to their prevention, the prediction of individual disease courses, and novel therapies in the future.

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References

  1. Bulik-Sullivan BK, Finucane HK, Anttila V, Gusev A, Day FR, Loh P-R, Duncan LE, Perry JRB, Patterson N, Robinson EB, Daly MJ, Price AL, Neale BM (2015) An atlas of genetic correlations across human diseases and traits. Nat Genet 47:1236–1241

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  2. Cross-Disorder Group of the Psychiatric Genomics Consortium (2013) Identification of risk loci with shared effects on five major psychiatric disorders: a genome-wide analysis. Lancet 381:1371–1379

    Article  PubMed Central  CAS  Google Scholar 

  3. Chang M, Womer FY, Edmiston EK, Bai C, Zhou Q, Jiang X, Wei S, Wei Y, Ye Y, Huang H, He Y, Xu K, Tang Y, Wang F (2018) Neurobiological commonalities and distinctions among three major psychiatric diagnostic categories: a structural MRI study. Schizophr Bull 44:65–74

    Article  PubMed  Google Scholar 

  4. Goodkind M, Eickhoff SB, Oathes DJ, Jiang Y, Chang A, Jones-hagata LB, Ortega BN, Zaiko YV, Roach EL, Korgaonkar MS, Grieve SM, Galatzer-Levy IR, Fox PT, Etkin A (2015) Identification of a common neurobiological substrate for mental illness. JAMA Psychiatry 5797:305–315

    Article  Google Scholar 

  5. Redlich R, Almeida JRC, Grotegerd D, Opel N, Kugel H, Heindel W, Arolt V, Phillips ML, Dannlowski U (2014) Brain morphometric biomarkers distinguishing unipolar and bipolar depression. A voxel-based morphometry-pattern classification approach. JAMA Psychiatry 71:1222–1230

    Article  PubMed  PubMed Central  Google Scholar 

  6. Nenadic I, Maitra R, Langbein K, Dietzek M, Lorenz C, Smesny S, Reichenbach JR, Sauer H, Gaser C (2015) Brain structure in schizophrenia vs. psychotic bipolar I disorder: a VBM study. Schizophr Res 165:212–219

    Article  PubMed  Google Scholar 

  7. Kaufman J, Yang B-Z, Douglas-Palumberi H, Grasso D, Lipschitz D, Houshyar S, Krystal JH, Gelernter J (2006) Brain-derived neurotrophic factor-5-HTTLPR gene interactions and environmental modifiers of depression in children. Biol Psychiatry 59:673–680

    Article  CAS  PubMed  Google Scholar 

  8. Berton O, Hahn C-G, Thase ME (2012) Are we getting closer to valid translational models for major depression? Science 338:75–79

    Article  CAS  PubMed  Google Scholar 

  9. Hyde LW, Bogdan R, Hariri AR (2011) Understanding risk for psychopathology through imaging gene-environment interactions. Trends Cogn Sci 15:417–427

    Article  PubMed  PubMed Central  Google Scholar 

  10. Caspi A, Moffitt TE (2006) Gene-environment interactions in psychiatry: joining forces with neuroscience. Nat Rev Neurosci 7:583–590

    Article  CAS  PubMed  Google Scholar 

  11. Yüksel D, Dietsche B, Forstner AJ, Witt SH, Maier RM, Rietschel M, Konrad C, Nöthen MM, Dannlowski U, Baune BT, Kircher T, Krug A (2017) Polygenic risk for depression and the neural correlates of working memory in healthy subjects. Prog Neuropsychopharmacol Biol Psychiatry 79:67–76

    Article  Google Scholar 

  12. Kupfer DJ, Frank E, Phillips ML (2012) Major depressive disorder: new clinical, neurobiological, and treatment perspectives. Lancet 379:1045–1055

    Article  PubMed  Google Scholar 

  13. Moylan S, Maes M, Wray NR, Berk M (2013) The neuroprogressive nature of major depressive disorder: pathways to disease evolution and resistance, and therapeutic implications. Mol Psychiatry 18:595–606

    Article  CAS  PubMed  Google Scholar 

  14. Anglin RES, Mazurek MF, Tarnopolsky MA, Rosebush PI (2012) The mitochondrial genome and psychiatric illness. Am J Med Genet B Neuropsychiatr Genet 159B:749–759

    Article  PubMed  CAS  Google Scholar 

  15. Messay B, Lim A, Marsland AL (2012) Current understanding of the bi-directional relationship of major depression with inflammation. Biol Mood Anxiety Disord 2:4

    Article  PubMed  PubMed Central  Google Scholar 

  16. Raison CL, Miller AH (2011) Is depression an inflammatory disorder? Curr Psychiatry Rep 13:467–475

    Article  PubMed  PubMed Central  Google Scholar 

  17. Raedler TJ (2011) Inflammatory mechanisms in major depressive disorder. Curr Opin Psychiatry 24:519–525

    Article  PubMed  Google Scholar 

  18. Manji HK, Quiroz JA, Sporn J, Payne JL, Denicoff K, Gray NA, Zarate CA, Charney DS (2003) Enhancing neuronal plasticity and cellular resilience to develop novel, improved therapeutics for difficult-to-treat depression. Biol Psychiatry 53:707–742

    Article  CAS  PubMed  Google Scholar 

  19. Zarate CA, Singh J, Manji HK (2006) Cellular plasticity cascades: targets for the development of novel therapeutics for bipolar disorder. Biol Psychiatry 59:1006–1020

    Article  CAS  PubMed  Google Scholar 

  20. Kang HJ, Voleti B, Hajszan T, Rajkowska G, Stockmeier CA, Licznerski P, Lepack A, Majik MS, Jeong LS, Banasr M, Son H, Duman RS (2012) Decreased expression of synapse-related genes and loss of synapses in major depressive disorder. Nat Med 18:1413–1417

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Samuels BA, Hen R (2011) Neurogenesis and affective disorders. Eur J Neurosci 33:1152–1159

    Article  PubMed  Google Scholar 

  22. Schratt GM, Tuebing F, Nigh EA, Kane CG, Sabatini ME, Kiebler M, Greenberg ME (2006) A brain-specific microRNA regulates dendritic spine development. Nature 439:283–289

    Article  CAS  PubMed  Google Scholar 

  23. Impey S, Davare M, Lesiak A, Lasiek A, Fortin D, Ando H, Varlamova O, Obrietan K, Soderling TR, Goodman RH, Wayman GA (2010) An activity-induced microRNA controls dendritic spine formation by regulating Rac1-PAK signaling. Mol Cell Neurosci 43:146–156

    Article  CAS  PubMed  Google Scholar 

  24. Hansen KF, Sakamoto K, Wayman GA, Impey S, Obrietan K (2010) Transgenic miR132 alters neuronal spine density and impairs novel object recognition memory. PLoS One 5:e15497

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Lippi G, Steinert JR, Marczylo EL, D’Oro S, Fiore R, Forsythe ID, Schratt GM, Zoli M, Nicotera P, Young KW (2011) Targeting of the Arpc3 actin nucleation factor by miR-29a/b regulates dendritic spine morphology. J Cell Biol 194:889–904

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. Fiore R, Khudayberdiev S, Christensen M, Siegel G, Flavell SW, Kim T-K, Greenberg ME, Schratt GM (2009) Mef2-mediated transcription of the miR379-410 cluster regulates activity-dependent dendritogenesis by fine-tuning Pumilio2 protein levels. EMBO J 28:697–710

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  27. Saba R, Störchel PH, Aksoy-Aksel A, Kepura F, Lippi G, Plant TD, Schratt GM (2012) Dopamine-regulated microRNA MiR-181a controls GluA2 surface expression in hippocampal neurons. Mol Cell Biol 32:619–632

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Edbauer D, Neilson JR, Foster KA, Wang C-F, Seeburg DP, Batterton MN, Tada T, Dolan BM, Sharp PA, Sheng M (2010) Regulation of synaptic structure and function by FMRP-associated microRNAs miR-125b and miR-132. Neuron 65:373–384

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Harraz MM, Eacker SM, Wang X, Dawson TM, Dawson VL (2012) MicroRNA-223 is neuroprotective by targeting glutamate receptors. Proc Natl Acad Sci USA 109:18962–18967

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  30. Gao J, Wang W-Y, Mao Y-W, Gräff J, Guan J-S, Pan L, Mak G, Kim D, Su SC, Tsai L-H (2010) A novel pathway regulates memory and plasticity via SIRT1 and miR-134. Nature 466:1105–1109

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  31. Mellios N, Sugihara H, Castro J, Banerjee A, Le C, Kumar A, Crawford B, Strathmann J, Tropea D, Levine SS, Edbauer D, Sur M (2011) miR-132, an experience-dependent microRNA, is essential for visual cortex plasticity. Nat Neurosci 14:1240–1242

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  32. Cohen JE, Lee PR, Chen S, Li W, Fields RD (2011) MicroRNA regulation of homeostatic synaptic plasticity. Proc Natl Acad Sci 108:11650–11655

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  33. Rajasethupathy P, Fiumara F, Sheridan R, Betel D, Puthanveettil SV, Russo JJ, Sander C, Tuschl T, Kandel E (2009) Characterization of small RNAs in aplysia reveals a role for miR-124 in constraining synaptic plasticity through CREB. Neuron 63:803–817

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  34. Krautheim JT, Straube B, Dannlowski U, Pyka M, Schneider-Hassloff H, Drexler R, Krug A, Sommer J, Rietschel M, Witt SH, Kircher T (2018) Outgroup emotion processing in the vACC is modulated by childhood trauma and CACNA1C risk variant. Soc Cogn Affect Neurosci 13:341–348

    Article  PubMed  PubMed Central  Google Scholar 

  35. Dietsche B, Backes H, Laneri D, Weikert T, Witt SH, Rietschel M, Sommer J, Kircher T, Krug A (2014) The impact of a CACNA1C gene polymorphism on learning and hippocampal formation in healthy individuals: a diffusion tensor imaging study. Neuroimage 89:256–261

    Article  CAS  PubMed  Google Scholar 

  36. Thimm M, Kircher T, Kellermann T, Markov V, Krach S, Jansen A, Zerres K, Eggermann T, Stöcker T, Shah NJ, Nöthen MM, Rietschel M, Witt SH, Mathiak K, Krug A (2011) Effects of a CACNA1C genotype on attention networks in healthy individuals. Psychol Med 41:1551–1561

    Article  CAS  PubMed  Google Scholar 

  37. Krug A, Nieratschker V, Markov V, Krach S, Jansen A, Zerres K, Eggermann T, Stöcker T, Shah NJ, Treutlein J, Mühleisen TW, Kircher T (2010) Effect of CACNA1C rs1006737 on neural correlates of verbal fluency in healthy individuals. Neuroimage 49:1831–1836

    Article  CAS  PubMed  Google Scholar 

  38. Paulus FM, Bedenbender J, Krach S, Pyka M, Krug A, Sommer J, Mette M, Nöthen MM, Witt SH, Rietschel M, Kircher T, Jansen A (2014) Association of rs1006737 in CACNA1C with alterations in prefrontal activation and fronto-hippocampal connectivity. Hum Brain Mapp 35:1190–1200

    Article  PubMed  Google Scholar 

  39. Vogelbacher C, Möbius TWD, Sommer J, Schuster V, Dannlowski U, Kircher T, Dempfle A, Jansen A, Bopp M (2018) The Marburg-Münster affective disorders cohort study (MACS): a quality assurance protocol for MR neuroimaging data. Neuroimage 172:450–460

    Article  PubMed  Google Scholar 

  40. Hariri AR, Mattay VS, Tessitore A, Kolachana BS, Fera F, Goldman D, Egan MF, Weinberger DR (2002) Serotonin transporter genetic variation and the response of the human amygdala. Science 297:400–403

    Article  CAS  PubMed  Google Scholar 

  41. Pezawas L, Meyer-Lindenberg A, Drabant EM, Verchinski BA, Muñoz KE, Kolachana BS, Egan MF, Mattay VS, Hariri AR, Weinberger DR (2005) 5-HTTLPR polymorphism impacts human cingulate-amygdala interactions: a genetic susceptibility mechanism for depression. Nat Neurosci 8:828–834

    Article  CAS  PubMed  Google Scholar 

  42. Dannlowski U, Kugel H, Franke F, Stuhrmann A, Hohoff C, Zwanzger P, Lenzen T, Grotegerd D, Suslow T, Arolt V, Heindel W, Domschke K (2011) Neuropeptide-S (NPS) receptor genotype modulates basolateral amygdala responsiveness to aversive stimuli. Neuropsychopharmacology 36:1879–1885

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  43. Krug A, Krach S, Jansen A, Nieratschker V, Witt SH, Shah NJ, Nöthen MM, Rietschel M, Kircher T (2013) The effect of neurogranin on neural correlates of episodic memory encoding and retrieval. Schizophr Bull 39:141–150

    Article  PubMed  Google Scholar 

  44. Krug A, Markov V, Eggermann T, Krach S, Zerres K, Stöcker T, Shah NJ, Schneider F, Nöthen MM, Treutlein J, Rietschel M, Kircher T (2008) Genetic variation in the schizophrenia-risk gene neuregulin1 correlates with differences in frontal brain activation in a working memory task in healthy individuals. Neuroimage 42:1569–1576

    Article  PubMed  Google Scholar 

  45. Leube DT, Erb M, Grodd W, Bartels M, Kircher T (2001) Differential activation in parahippocampal and prefrontal cortex during word and face encoding tasks. Neuroreport 12:2773–2777

    Article  CAS  PubMed  Google Scholar 

  46. Stuhrmann A, Dohm K, Kugel H, Zwanzger P, Redlich R, Grotegerd D, Rauch AV, Arolt V, Heindel W, Suslow T, Zwitserlood P, Dannlowski U (2013) Mood-congruent amygdala responses to subliminally presented facial expressions in major depression: associations with anhedonia. J Psychiatry Neurosci 38:249–258

    Article  PubMed  PubMed Central  Google Scholar 

  47. Suslow T, Konrad C, Kugel H, Rumstadt D, Zwitserlood P, Schöning S, Ohrmann P, Bauer J, Pyka M, Kersting A, Arolt V, Heindel W, Dannlowski U (2010) Automatic mood-congruent amygdala responses to masked facial expressions in major depression. Biol Psychiatry 67:155–160

    Article  PubMed  Google Scholar 

  48. Suslow T, Kugel H, Rauch AV, Dannlowski U, Bauer J, Konrad C, Arolt V, Heindel W, Ohrmann P (2009) Attachment avoidance modulates neural response to masked facial emotion. Hum Brain Mapp 30:3553–3562

    Article  PubMed  PubMed Central  Google Scholar 

  49. Dannlowski U, Kugel H, Huber F, Stuhrmann A, Redlich R, Grotegerd D, Dohm K, Sehlmeyer C, Konrad C, Baune BT, Arolt V, Heindel W, Zwitserlood P, Suslow T (2013) Childhood maltreatment is associated with an automatic negative emotion processing bias in the amygdala. Hum Brain Mapp 34:2899–2909

    Article  PubMed  Google Scholar 

  50. Nestler EJ, Hyman SE (2010) Animal models of neuropsychiatric disorders. Nat Neurosci 13:1161–1169

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  51. Wöhr M, Schwarting RKW (2013) Affective communication in rodents: ultrasonic vocalizations as a tool for research on emotion and motivation. Cell Tissue Res 354:81–97

    Article  PubMed  Google Scholar 

  52. Yee N, Schwarting RKW, Fuchs E, Wöhr M (2012) Increased affective ultrasonic communication during fear learning in adult male rats exposed to maternal immune activation. J Psychiatr Res 46:1199–1205

    Article  PubMed  Google Scholar 

  53. Pereira M, Andreatini R, Schwarting RKW, Brenes JC (2014) Amphetamine-induced appetitive 50-kHz calls in rats: a marker of affect in mania? Psychopharmcology 231:2567–2577

    Article  CAS  Google Scholar 

  54. Engelhardt KA, Fuchs E, Schwarting RKW, Wöhr M (2017) Effects of amphetamine on pro-social ultrasonic communication in juvenile rats: implications for mania models. Eur Neuropsychopharmacol 27:261–273

    Article  CAS  Google Scholar 

  55. Wöhr M, Schwarting RKW (2007) Ultrasonic communication in rats: can playback of 50-kHz calls induce approach behavior? PLoS One 2:e1365

    Article  PubMed  PubMed Central  Google Scholar 

  56. Willuhn I, Tose A, Wanat MJ, Hart AS, Hollon NG, Phillips PEM, Schwarting RKW, Wöhr M (2014) Phasic dopamine release in the nucleus accumbens in response to pro-social 50 kHz ultrasonic vocalizations in rats. J Neurosci 34:10616–10623

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  57. Seffer D, Rippberger H, Schwarting RKW, Wöhr M (2015) Pro-social 50-kHz ultrasonic communication in rats: post-weaning but not post-adolescent social isolation leads to social impairments-phenotypic rescue by re-socialization. Front Behav Neurosci 9:102

    Article  PubMed  PubMed Central  Google Scholar 

  58. Valluy J, Bicker S, Aksoy-Aksel A, Lackinger M, Sumer S, Fiore R, Wüst T, Seffer D, Metge F, Dieterich C, Wöhr M, Schwarting RKW, Schratt GM (2015) A coding-independent function of an alternative Ube3a transcript during neuronal development. Nat Neurosci 18:666–673

    Article  CAS  PubMed  Google Scholar 

  59. Glessner JT, Wang K, Cai G, Korvatska O, Kim CE, Wood S, Zhang H, Estes A, Brune CW, Bradfield JP, Imielinski M, Frackelton EC, Reichert J, Crawford EL, Munson J, Sleiman PMA, Chiavacci R, Annaiah K, Thomas K, Hou C, Glaberson W, Flory J, Otieno F, Garris M, Soorya L, Klei L, Piven J, Meyer KJ, Anagnostou E, Sakurai T, Game RM, Rudd DS, Zurawiecki D, McDougle CJ, Davis LK, Miller J, Posey DJ, Michaels S, Kolevzon A, Silverman JM, Bernier R, Levy SE, Schultz RT, Dawson G, Owley T, McMahon WM, Wassink TH, Sweeney JA, Nurnberger JI, Coon H, Sutcliffe JS, Minshew NJ, Grant SFA, Bucan M, Cook EH, Buxbaum JD, Devlin B, Schellenberg GD, Hakonarson H (2009) Autism genome-wide copy number variation reveals ubiquitin and neuronal genes. Nature 459:569–573

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  60. Schratt GM (2009) microRNAs at the synapse. Nat Rev Neurosci 10:842–849

    Article  CAS  PubMed  Google Scholar 

  61. Geaghan M, Cairns MJ (2015) MicroRNA and posttranscriptional dysregulation in psychiatry. Biol Psychiatry 78:231–239

    Article  CAS  PubMed  Google Scholar 

  62. Gibney SM, Drexhage HA (2013) Evidence for a dysregulated immune system in the etiology of psychiatric disorders. J Neuroimmune Pharmacol 8:900–920

    Article  PubMed  Google Scholar 

  63. Köhler CA, Freitas TH, Maes M, de Andrade NQ, Liu CS, Fernandes BS, Stubbs B, Solmi M, Veronese N, Herrmann N, Raison CL, Miller BJ, Lanctôt KL, Carvalho AF (2017) Peripheral cytokine and chemokine alterations in depression: a meta-analysis of 82 studies. Acta Psychiatr Scand 135:373-387

    PubMed  Google Scholar 

  64. Hodes GE, Kana V, Menard C, Merad M, Russo SJ (2015) Neuroimmune mechanisms of depression. Nat Neurosci 18:1386–1393

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  65. Dannlowski U, Kugel H, Grotegerd D, Redlich R, Suchy J, Opel N, Suslow T, Konrad C, Ohrmann P, Bauer J, Kircher T, Krug A, Jansen A, Baune BT, Heindel W, Domschke K, Forstner AJ, Nöthen MM, Treutlein J, Arolt V, Hohoff C, Rietschel M, Witt SH (2015) NCAN cross-disorder risk variant is associated with limbic gray matter deficits in healthy subjects and major depression. Neuropsychopharmacology 40:2510–2516

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  66. Krug A, Dietsche B, Zöllner R, Yüksel D, Nöthen MM, Forstner AJ, Rietschel M, Dannlowski U, Baune BT, Maier RM, Witt SH, Kircher T (2018) Polygenic risk for schizophrenia affects working memory and its neural correlates in healthy subjects. Schizophr Res. https://doi.org/10.1016/j.schres.2018.01.013

    Article  PubMed  Google Scholar 

  67. Forstner AJ, Hecker J, Hofmann A, Maaser A, Reinbold CS, Mühleisen TW, Leber M, Strohmaier J, Degenhardt FA, Treutlein J, Mattheisen M, Schumacher J, Streit F, Meier S, Herms SL, Hoffmann P, Lacour A, Witt SH, Reif A, Müller-Myhsok B, Lucae S, Maier W, Schwarz MJ, Vedder H, Kammerer-Ciernioch J, Pfennig A, Bauer M, Hautzinger M, Moebus S, Schenk LM, Fischer SB, Sivalingam S, Czerski PM, Hauser J, Lissowska J, Szeszenia-Dabrowska N, Brennan P, McKay JD, Wright A, Mitchell PB, Fullerton JM, Schofield PR, Montgomery GW, Medland SE, Gordon SD, Martin NG, Krasnov V, Chuchalin A, Babadjanova G, Pantelejeva G, Abramova LI, Tiganov AS, Polonikov A, Khusnutdinova E, Alda M, Cruceanu C, Rouleau GA, Turecki G, Laprise C, Rivas F, Mayoral F, Kogevinas M, Grigoroiu-Serbanescu M, Becker T, Schulze TG, Rietschel M, Cichon S, Fier H, Nöthen MM (2017) Identification of shared risk loci and pathways for bipolar disorder and schizophrenia. PLoS One 12:e0171595

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  68. Forstner AJ, Hofmann A, Maaser A, Sumer S, Khudayberdiev S, Mühleisen TW, Leber M, Schulze TG, Strohmaier J, Degenhardt FA, Treutlein J, Mattheisen M, Schumacher J, Breuer R, Meier S, Herms SL, Hoffmann P, Lacour A, Witt SH, Reif A, Müller-Myhsok B, Lucae S, Maier W, Schwarz MJ, Vedder H, Kammerer-Ciernioch J, Pfennig A, Bauer M, Hautzinger M, Moebus S, Priebe L, Sivalingam S, Verhaert A, Schulz H, Czerski PM, Hauser J, Lissowska J, Szeszenia-Dabrowska N, Brennan P, McKay JD, Wright A, Mitchell PB, Fullerton JM, Schofield PR, Montgomery GW, Medland SE, Gordon SD, Martin NG, Krasnov V, Chuchalin A, Babadjanova G, Pantelejeva G, Abramova LI, Tiganov AS, Polonikov A, Khusnutdinova E, Alda M, Cruceanu C, Rouleau GA, Turecki G, Laprise C, Rivas F, Mayoral F, Kogevinas M, Grigoroiu-Serbanescu M, Propping P, Becker T, Rietschel M, Cichon S, Schratt GM, Nöthen MM (2015) Genome-wide analysis implicates microRNAs and their target genes in the development of bipolar disorder. Transl Psychiatry 5:e678

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  69. Straube B, Reif A, Richter J, Lueken U, Weber H, Arolt V, Jansen A, Zwanzger P, Domschke K, Pauli P, Konrad C, Gerlach AL, Lang T, Fydrich T, Alpers GW, Ströhle A, Wittmann A, Pfleiderer B, Wittchen H-U, Hamm A, Deckert J, Kircher T (2014) The functional -1019C/G HTR1A polymorphism and mechanisms of fear. Transl Psychiatry 4:e490

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  70. Dohm K, Redlich R, Zwitserlood P, Dannlowski U (2017) Trajectories of major depression disorders: a systematic review of longitudinal neuroimaging findings. Aust N Z J Psychiatry 51:441–454

    Article  PubMed  Google Scholar 

  71. Zaremba D, Enneking V, Meinert S, Förster K, Bürger C, Dohm K, Grotegerd D, Redlich R, Dietsche B, Krug A, Kircher T, Kugel H, Heindel W, Arolt V, Dannlowski U (2018) Effects of cumulative illness severity on hippocampal gray matter volume in major depression—a voxel-based morphometry study. Psychol Med. https://doi.org/10.1017/S0033291718000016

    Article  PubMed  Google Scholar 

  72. Zaremba D, Dohm K, Redlich R, Grotegerd D, Strojny R, Meinert S, Bürger C, Enneking V, Förster K, Repple J, Opel N, Baune BT, Zwitserlood P, Heindel W, Arolt V, Kugel H, Dannlowski U (2018) Association of relapse and cortical changes in patients with major depressive disorder. JAMA Psychiatry 75:484–492

    Article  PubMed  PubMed Central  Google Scholar 

  73. Hahn T, Kircher T, Straube B, Wittchen H-U, Konrad C, Ströhle A, Wittmann A, Pfleiderer B, Reif A, Arolt V, Lueken U (2015) Predicting treatment response to cognitive behavioral therapy in panic disorder with agoraphobia by integrating local neural information. JAMA Psychiatry 72:68–74

    Article  PubMed  Google Scholar 

  74. Redlich R, Opel N, Grotegerd D, Dohm K, Zaremba D, Bürger C, Münker S, Mühlmann L, Wahl P, Heindel W, Arolt V, Alferink J, Zwanzger P, Zavorotnyy M, Kugel H, Dannlowski U (2016) Prediction of individual response to electroconvulsive therapy via machine learning on structural magnetic resonance imaging data. JAMA Psychiatry 73:557–564

    Article  PubMed  Google Scholar 

  75. Lueken U, Straube B, Yang Y, Hahn T, Beesdo-Baum K, Wittchen H-U, Konrad C, Ströhle A, Wittmann A, Gerlach AL, Pfleiderer B, Arolt V, Kircher T (2015) Separating depressive comorbidity from panic disorder: a combined functional magnetic resonance imaging and machine learning approach. J Affect Disord 184:182–192

    Article  PubMed  Google Scholar 

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Acknowledgements

The FOR 2107 consortium is supported by the German Research Council (Deutsche Forschungsgemeinschaft, DFG, Grant nos. KI 588/14-1, KI 588/14-2, KR 3822/7-1, KR 3822/7-2, NE 2254/1-2, DA 1151/5-1, DA 1151/5-2, SCHW 559/14-1, SCHW 559/14-2, WO 1732/4-1, WO 1732/4-2, AL 1145/5-2, CU 43/9-2, GA 545/7-2, RI 908/11-2, WI 3439/3-2, NO 246/10-2, DE 1614/3-2, HA 7070/2-2, JA 1890/7-1, JA 1890/7-2, MU 1315/8-2, RE 737/20-2, PF 784/1-2, KI 588/17-1, CU 43/9-1). We are deeply indebted to all participants of this study, the recruitment sites and their staff.

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Authors and Affiliations

  1. Department of Psychiatry and Psychotherapy, University of Marburg, Rudolf-Bultmann-Str. 8, 35039, Marburg, Germany

    Tilo Kircher, Igor Nenadic, Andreas Jansen & Axel Krug

  2. Centre for Mind, Brain and Behaviour, University of Marburg, Marburg, Germany

    Tilo Kircher, Markus Wöhr, Igor Nenadic, Rainer Schwarting, Carsten Culmsee, Andreas Jansen & Axel Krug

  3. Department of Experimental and Biological Psychology, University of Marburg, Marburg, Germany

    Markus Wöhr & Rainer Schwarting

  4. Department of Neuroscience, ETH Zürich, Zurich, Germany

    Gerhard Schratt

  5. Department of Psychiatry and Psychotherapy, University of Münster, Munich, Germany

    Judith Alferink, Tim Hahn & Udo Dannlowski

  6. Institute for Pharmacology and Clinical Pharmacy, University of Marburg, Marburg, Germany

    Carsten Culmsee

  7. Institute of Laboratory Medicine and Pathobiochemistry, University of Marburg, Marburg, Germany

    Holger Garn & Harald Renz

  8. Max Planck Institute of Psychiatry, Munich, Germany

    Bertram Müller-Myhsok

  9. Institute of Medical Informatics and Statistics, University of Kiel, Kiel, Germany

    Astrid Dempfle

  10. Coordinating Centre for Clinical Trials, University of Marburg, Marburg, Germany

    Maik Hahmann

  11. Core-Facility Brainimaging, Faculty of Medicine, University of Marburg, Marburg, Germany

    Andreas Jansen

  12. Comprehensive Biomaterial Bank Marburg, University of Marburg, Marburg, Germany

    Petra Pfefferle

  13. Department of Genetic Epidemiology in Psychiatry, Medical Faculty Mannheim, Central Institute of Mental Health, University of Heidelberg, Mannheim, Germany

    Marcella Rietschel & Stephanie H. Witt

  14. Department of Genomics, Life and Brain Centre, University of Bonn, Bonn, Germany

    Markus Nöthen

Authors
  1. Tilo Kircher
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  2. Markus Wöhr
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  3. Igor Nenadic
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  4. Rainer Schwarting
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  5. Gerhard Schratt
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  6. Judith Alferink
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  7. Carsten Culmsee
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  8. Holger Garn
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  9. Tim Hahn
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  10. Bertram Müller-Myhsok
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  11. Astrid Dempfle
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  12. Maik Hahmann
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  13. Andreas Jansen
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  14. Petra Pfefferle
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  15. Harald Renz
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  16. Marcella Rietschel
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  17. Stephanie H. Witt
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  18. Markus Nöthen
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  19. Axel Krug
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  20. Udo Dannlowski
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Corresponding author

Correspondence to Tilo Kircher.

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On behalf of all authors, the corresponding author states that there is no conflict of interest.

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Kircher, T., Wöhr, M., Nenadic, I. et al. Neurobiology of the major psychoses: a translational perspective on brain structure and function—the FOR2107 consortium. Eur Arch Psychiatry Clin Neurosci 269, 949–962 (2019). https://doi.org/10.1007/s00406-018-0943-x

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  • DOI: https://doi.org/10.1007/s00406-018-0943-x

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