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Associations between psychosis endophenotypes across brain functional, structural, and cognitive domains

Published online by Cambridge University Press:  02 November 2017

R. Blakey ,
S. Ranlund ,
E. Zartaloudi ,
W. Cahn ,
S. Calafato ,
M. Colizzi ,
B. Crespo-Facorro ,
C. Daniel ,
Á. Díez-Revuelta  and
M. Di Forti
...Show all authors
R. Blakey
Affiliation:
Division of Psychiatry, University College London, London, UK
S. Ranlund*
Affiliation:
Division of Psychiatry, University College London, London, UK Institute of Psychiatry Psychology and Neuroscience at King's College London and South London and Maudsley NHS Foundation Trust, London, UK
E. Zartaloudi
Affiliation:
Division of Psychiatry, University College London, London, UK
W. Cahn
Affiliation:
Department of Psychiatry, Brain Centre Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
S. Calafato
Affiliation:
Division of Psychiatry, University College London, London, UK
M. Colizzi
Affiliation:
Institute of Psychiatry Psychology and Neuroscience at King's College London and South London and Maudsley NHS Foundation Trust, London, UK
B. Crespo-Facorro
Affiliation:
CIBERSAM, Centro Investigación Biomédica en Red Salud Mental, Madrid, Spain Department of Psychiatry, University Hospital Marqués de Valdecilla, School of Medicine, University of Cantabria–IDIVAL, Santander, Spain
C. Daniel
Affiliation:
Division of Psychiatry, University College London, London, UK
Á. Díez-Revuelta
Affiliation:
Division of Psychiatry, University College London, London, UK Laboratory of Cognitive and Computational Neuroscience – Centre for Biomedical Technology (CTB), Complutense University and Technical University of Madrid, Madrid, Spain
M. Di Forti
Affiliation:
Institute of Psychiatry Psychology and Neuroscience at King's College London and South London and Maudsley NHS Foundation Trust, London, UK
C. Iyegbe
Affiliation:
Institute of Psychiatry Psychology and Neuroscience at King's College London and South London and Maudsley NHS Foundation Trust, London, UK
A. Jablensky
Affiliation:
Centre for Clinical Research in Neuropsychiatry, The University of Western Australia, Perth, Western Australia, Australia
R. Jones
Affiliation:
Division of Psychiatry, University College London, London, UK
M.-H. Hall
Affiliation:
Psychology Research Laboratory, Harvard Medical School, McLean Hospital, Belmont, MA, USA
R. Kahn
Affiliation:
Department of Psychiatry, Brain Centre Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
L. Kalaydjieva
Affiliation:
Harry Perkins Institute of Medical Research and Centre for Medical Research, The University of Western Australia, Perth, Australia
E. Kravariti
Affiliation:
Institute of Psychiatry Psychology and Neuroscience at King's College London and South London and Maudsley NHS Foundation Trust, London, UK
K. Lin
Affiliation:
Institute of Psychiatry Psychology and Neuroscience at King's College London and South London and Maudsley NHS Foundation Trust, London, UK Nuffield Department of Population Health, University of Oxford, Oxford, UK
C. McDonald
Affiliation:
Department of Psychiatry, Clinical Science Institute, National University of Ireland Galway, Ireland
A. M. McIntosh
Affiliation:
Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, UK
M. Picchioni
Affiliation:
Institute of Psychiatry Psychology and Neuroscience at King's College London and South London and Maudsley NHS Foundation Trust, London, UK
J. Powell
Affiliation:
Institute of Psychiatry Psychology and Neuroscience at King's College London and South London and Maudsley NHS Foundation Trust, London, UK
A. Presman
Affiliation:
Division of Psychiatry, University College London, London, UK
D. Rujescu
Affiliation:
Department of Psychiatry, Ludwig-Maximilians University of Munich, Munich, Germany Department of Psychiatry, Psychotherapy and Psychosomatics, University of Halle Wittenberg, Halle, Germany
K. Schulze
Affiliation:
Institute of Psychiatry Psychology and Neuroscience at King's College London and South London and Maudsley NHS Foundation Trust, London, UK
M. Shaikh
Affiliation:
Institute of Psychiatry Psychology and Neuroscience at King's College London and South London and Maudsley NHS Foundation Trust, London, UK North East London Foundation Trust, London, UK
J. H. Thygesen
Affiliation:
Division of Psychiatry, University College London, London, UK
T. Toulopoulou
Affiliation:
Institute of Psychiatry Psychology and Neuroscience at King's College London and South London and Maudsley NHS Foundation Trust, London, UK Department of Psychology, Bilkent University, Main Campus, Bilkent, Ankara, Turkey Department of Psychology, the University of Hong Kong, Pokfulam Rd, Hong Kong SAR, China The State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, The Hong Kong Jockey Club Building for Interdisciplinary Research, Hong Kong SAR, China
N. Van Haren
Affiliation:
Department of Psychiatry, Brain Centre Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
J. Van Os
Affiliation:
Institute of Psychiatry Psychology and Neuroscience at King's College London and South London and Maudsley NHS Foundation Trust, London, UK Department of Psychiatry and Psychology, Maastricht University Medical Centre, EURON, Maastricht, The Netherlands
M. Walshe
Affiliation:
Division of Psychiatry, University College London, London, UK Institute of Psychiatry Psychology and Neuroscience at King's College London and South London and Maudsley NHS Foundation Trust, London, UK
R. M. Murray
Affiliation:
Institute of Psychiatry Psychology and Neuroscience at King's College London and South London and Maudsley NHS Foundation Trust, London, UK
E. Bramon*
Affiliation:
Division of Psychiatry, University College London, London, UK Institute of Psychiatry Psychology and Neuroscience at King's College London and South London and Maudsley NHS Foundation Trust, London, UK Institute of Cognitive Neuroscience, University College London, London, UK
*
Author for correspondence: Dr S. Ranlund, Ph.D., E-mail: siri.ranlund@kcl.ac.uk and e.bramon@ucl.ac.uk
Author for correspondence: Dr S. Ranlund, Ph.D., E-mail: siri.ranlund@kcl.ac.uk and e.bramon@ucl.ac.uk
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Abstract

Background

A range of endophenotypes characterise psychosis, however there has been limited work understanding if and how they are inter-related.

Methods

This multi-centre study includes 8754 participants: 2212 people with a psychotic disorder, 1487 unaffected relatives of probands, and 5055 healthy controls. We investigated cognition [digit span (N = 3127), block design (N = 5491), and the Rey Auditory Verbal Learning Test (N = 3543)], electrophysiology [P300 amplitude and latency (N = 1102)], and neuroanatomy [lateral ventricular volume (N = 1721)]. We used linear regression to assess the interrelationships between endophenotypes.

Results

The P300 amplitude and latency were not associated (regression coef. −0.06, 95% CI −0.12 to 0.01, p = 0.060), and P300 amplitude was positively associated with block design (coef. 0.19, 95% CI 0.10–0.28, p < 0.001). There was no evidence of associations between lateral ventricular volume and the other measures (all p > 0.38). All the cognitive endophenotypes were associated with each other in the expected directions (all p < 0.001). Lastly, the relationships between pairs of endophenotypes were consistent in all three participant groups, differing for some of the cognitive pairings only in the strengths of the relationships.

Conclusions

The P300 amplitude and latency are independent endophenotypes; the former indexing spatial visualisation and working memory, and the latter is hypothesised to index basic processing speed. Individuals with psychotic illnesses, their unaffected relatives, and healthy controls all show similar patterns of associations between endophenotypes, endorsing the theory of a continuum of psychosis liability across the population.

Keywords

Lateral ventricular volumeP300schizophreniaverbal memoryunaffected relativesworking memory

Information

Type
Original Articles
Information
Psychological Medicine , Volume 48 , Issue 8 , June 2018 , pp. 1325 - 1340
Copyright
Copyright © Cambridge University Press 2017 

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Footnotes

†

Contributed equally as joint first authors.

‡

Co-authors who are members of the Psychosis Endophenotypes International Consortium (PEIC) and the Genetic Risk and Outcome of Psychosis (GROUP) consortium are listed at the end of this paper.

§

Members of the Wellcome Trust Case Control Consortium 2 (WTCCC2) are listed in the Supplement.

References

Allardyce, J, Suppes, T, van Os, J (2007) Dimensions and the psychosis phenotype. International Journal of Methods in Psychiatric Research 16, S34–S40.Google Scholar
Andreasen, NC, Flaum, M, Arndt, S (1992) The Comprehensive Assessment of Symptoms and History (CASH) An instrument for assessing diagnosis and psychopathology. Archives of General Psychiatry 49, 615.CrossRefGoogle ScholarPubMed
Antonova, E, Sharma, T, Morris, R, Kumari, V (2004) The relationship between brain structure and neurocognition in schizophrenia: a selective review. Schizophrenia Research 70, 117–145.CrossRefGoogle ScholarPubMed
APA (1994) Diagnostic and Statistical Manual of Mental Disorders, 4th edn. American Psychiatric Association: Washington.Google Scholar
Ayres, AM, Busatto, GF, Menezes, PR, Schaufelberger, MS, Coutinho, L, Murray, RM, McGuire, PK, Rushe, T, Scazufca, M (2007) Cognitive deficits in first-episode psychosis: a population-based study in São Paulo, Brazil. Schizophrenia Research 90, 338–343.CrossRefGoogle ScholarPubMed
Baddeley, A (1992) Working memory. Science (New York, N.Y.) 255, 556–559.CrossRefGoogle ScholarPubMed
Barta, PE, Dhingra, L, Royall, R, Schwartz, E (1997) Improving sterological estimates for the volume of structures identified in three-dimensional arrays of spatial data. Journal of Neuroscience Methods 75, 111–118.Google Scholar
Bashore, TR, Wylie, SA, Ridderinkhof, KR, Martinerie, JM (2014) Response-specific slowing in older age revealed through differential stimulus and response effects on P300 latency and reaction time. Neuropsychology, Development, and Cognition. Section B, Aging, Neuropsychology and Cognition 21, 633–673.CrossRefGoogle ScholarPubMed
Bestelmeyer, PEG, Phillips, LH, Crombie, C, Benson, P, Clair, DS (2009) The P300 as a possible endophenotype for schizophrenia and bipolar disorder: evidence from twin and patient studies. Elsevier Ireland Ltd. Psychiatry Research 169, 212–219.CrossRefGoogle Scholar
Birkett, P, Sigmundsson, T, Sharma, T, Toulopoulou, T, Griffiths, TD, Reveley, A, Murray, R (2008) Executive function and genetic predisposition to schizophrenia – the Maudsley family study. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics 147B, 285–293.CrossRefGoogle Scholar
Blackwood, DH, St Clair, DM, Muir, WJ, Duffy, JC (1991) Auditory P300 and eye tracking dysfunction in schizophrenic pedigrees. Archives of General Psychiatry 48, 899–909.CrossRefGoogle ScholarPubMed
Boos, HBM, Aleman, A, Cahn, W, Hulshoff Pol, H, Kahn, RS (2007) Brain volumes in relatives of patients with schizophrenia: a meta-analysis. Archives of General Psychiatry 64, 297–304.Google Scholar
Bora, E, Lin, A, Wood, SJ, Yung, AR, McGorry, PD, Pantelis, C (2014) Cognitive deficits in youth with familial and clinical high risk to psychosis: a systematic review and meta-analysis. Acta Psychiatrica Scandinavica 130, 1–15.Google Scholar
Bora, E, Murray, RM (2014) Meta-analysis of cognitive deficits in ultra-high risk to psychosis and first-episode psychosis: do the cognitive deficits progress over, or after, the onset of psychosis? Schizophrenia Bulletin 40, 744–755.CrossRefGoogle ScholarPubMed
Bora, E, Pantelis, C (2015) Meta-analysis of cognitive impairment in first-episode bipolar disorder: comparison with first-episode schizophrenia and healthy controls. Schizophrenia Bulletin 41, 1095–1104.CrossRefGoogle ScholarPubMed
Bora, E, Yucel, M, Pantelis, C (2009) Cognitive functioning in schizophrenia, schizoaffective disorder and affective psychoses: meta-analytic study. The British Journal of Psychiatry: The Journal of Mental Science 195, 475–482.Google Scholar
Bora, E, Yücel, M, Pantelis, C (2010) Cognitive impairment in affective psychoses: a meta-analysis. Schizophrenia Bulletin 36, 112–125.Google Scholar
Braff, DL (2015) The importance of endophenotypes in schizophrenia research. Elsevier B.V. Schizophrenia Research 163, 1–8.Google Scholar
Bramon, E, McDonald, C, Croft, RJ, Landau, S, Filbey, F, Gruzelier, JH, Sham, PC, Frangou, S, Murray, RM (2005) Is the P300 wave an endophenotype for schizophrenia? A meta-analysis and a family study. NeuroImage 27, 960–968.CrossRefGoogle Scholar
Breteler, MM, van Amerongen, NM, van Swieten, JC, Claus, JJ, Grobbee, DE, van Gijn, J, Hofman, A, van Harskamp, F (1994) Cognitive correlates of ventricular enlargement and cerebral white matter lesions on magnetic resonance imaging. The Rotterdam Study. Stroke; A Journal of Cerebral Circulation 25, 1109–1115.Google Scholar
Brewer, MB, Campbell, DT, Crano, WD (1970) Testing a single-factor model as an alternative to the misuse of partial correlations in hypothesis-testing research. Sociometry 33, 1.CrossRefGoogle Scholar
Brillinger, DR (2001) Does anyone know when the correlation coefficient is useful? A study of the times of extreme river flows. Technometrics 43, 266–273.Google Scholar
Cahn, W, Rais, M, Stigter, FP, van Haren, NEM, Caspers, E, Hulshoff Pol, HE, Xu, Z, Schnack, HG, Kahn, RS (2009) Psychosis and brain volume changes during the first five years of schizophrenia. European Neuropsychopharmacology: The Journal of the European College of Neuropsychopharmacology 19, 147–151.Google Scholar
Cannon, TD, Keller, MC (2006) Endophenotypes in the genetic analyses of mental disorders. Annual Review of Clinical Psychology 2, 267–290.Google Scholar
Cardno, AG, Marshall, EJ, Coid, B, Macdonald, AM, Ribchester, TR, Davies, NJ, Venturi, P, Jones, LA, Lewis, SW, Sham, PC, Gottesman, II, Farmer, AE, McGuffin, P, Reveley, AM, Murray, RM (1999) Heritability estimates for psychotic disorders: the Maudsley Twin psychosis series. Archives of General Psychiatry 56, 162–168.CrossRefGoogle ScholarPubMed
Chen, KC, Lee, IH, Yang, YK, Landau, S, Chang, WH, Chen, PS, Lu, RB, David, AS, Bramon, E (2013) P300 waveform and dopamine transporter availability: a controlled EEG and SPECT study in medication-naive patients with schizophrenia and a meta-analysis. Psychological Medicine 44, 1–12.Google Scholar
Collip, D, Habets, P, Marcelis, M, Gronenschild, E, Lataster, T, Lardinois, M, Nicolson, NA, Myin-Germeys, I (2013) Hippocampal volume as marker of daily life stress sensitivity in psychosis. Psychological Medicine 43, 1377–1387.CrossRefGoogle ScholarPubMed
Conroy, MA, Polich, J (2007) Normative variation of P3a and P3b from a large sample. Journal of Psychophysiology 21, 22–32.Google Scholar
Crespo-Facorro, B, Roiz-Santiáñez, R, Pelayo-Terán, JM, Rodríguez-Sánchez, JM, Pérez-Iglesias, R, González-Blanch, C, Tordesillas-Gutiérrez, D, González-Mandly, A, Díez, C, Magnotta, VA, Andreasen, NC, Vázquez-Barquero, JL (2007) Reduced thalamic volume in first-episode non-affective psychosis: correlations with clinical variables, symptomatology and cognitive functioning. NeuroImage 35, 1613–1623.Google Scholar
Crespo-Facorro, B, Roiz-Santiáñez, R, Pérez-Iglesias, R, Tordesillas-Gutiérrez, D, Mata, I, Rodríguez-Sánchez, JM, de Lucas, EM, Vázquez-Barquero, JL (2009) Specific brain structural abnormalities in first-episode schizophrenia. A comparative study with patients with schizophreniform disorder, non-schizophrenic non-affective psychoses and healthy volunteers. Schizophrenia Research 115, 191–201.CrossRefGoogle ScholarPubMed
De Peri, L, Crescini, A, Deste, G, Fusar-Poli, P, Sacchetti, E, Vita, A (2012) Brain structural abnormalities at the onset of schizophrenia and bipolar disorder: a meta-analysis of controlled magnetic resonance imaging studies. Current Pharmaceutical Design 18, 486–494.CrossRefGoogle ScholarPubMed
DeRosse, P, Karlsgodt, KH (2015) Examining the psychosis continuum. Current Behavioral Neuroscience Reports 2, 80–89.Google Scholar
Dickinson, D, Iannone, VN, Gold, JM (2002) Factor structure of the Wechsler Adult Intelligence Scale-III in schizophrenia. Assessment 9, 171–180.Google Scholar
Dickinson, D, Ragland, JD, Calkins, ME, Gold, JM, Gur, RC (2006) A comparison of cognitive structure in schizophrenia patients and healthy controls using confirmatory factor analysis. Schizophrenia Research 85, 20–29.Google Scholar
Díez, Á, Suazo, V, Casado, P, Martín-Loeches, M, Molina, V, Díez, A, Suazo, V, Casado, P, Martín-Loeches, M, Molina, V (2013) Spatial distribution and cognitive correlates of gamma noise power in schizophrenia. Psychological Medicine 43, 1175–1185.Google Scholar
Dong, C, Nabizadeh, N, Caunca, M, Cheung, YK, Rundek, T, Elkind, MSV, DeCarli, C, Sacco, RL, Stern, Y, Wright, CB (2015 a). Cognitive correlates of white matter lesion load and brain atrophy: the Northern Manhattan Study. Neurology 85, 441–449.Google Scholar
Dong, S, Reder, LM, Yao, Y, Liu, Y, Chen, F (2015 b). Individual differences in working memory capacity are reflected in different ERP and EEG patterns to task difficulty. Brain Research 1616, 146–156.Google Scholar
Dorph-Petersen, K-A, Pierri, JN, Perel, JM, Sun, Z, Sampson, AR, Lewis, DA (2005) The influence of chronic exposure to antipsychotic medications on brain size before and after tissue fixation: a comparison of haloperidol and olanzapine in macaque monkeys. Neuropsychopharmacology: Official Publication of the American College of Neuropsychopharmacology 30, 1649–1661.CrossRefGoogle ScholarPubMed
Dutt, A, McDonald, C, Dempster, E, Prata, D, Shaikh, M, Williams, I, Schulze, K, Marshall, N, Walshe, M, Allin, M, Collier, D, Murray, R, Bramon, E (2009) The effect of COMT, BDNF, 5-HTT, NRG1 and DTNBP1 genes on hippocampal and lateral ventricular volume in psychosis. Psychological Medicine 39, 1783–1797.Google Scholar
Endicott, J, Spitzer, RL (1978) A diagnostic interview. The schedule for affective disorders and schizophrenia. Archives of General Psychiatry 35, 837–844.Google Scholar
Esterberg, ML, Compton, MT (2009) The psychosis continuum and categorical versus dimensional diagnostic approaches. Current Psychiatry Reports 11, 179–184.Google Scholar
Fannon, D, Tennakoon, L, Sumich, A, O'Ceallaigh, S, Doku, V, Chitnis, X, Lowe, J, Soni, W, Sharma, T (2000) Third ventricle enlargement and developmental delay in first-episode psychosis: preliminary findings. The British Journal of Psychiatry 177, 354–359.Google Scholar
Fatouros-Bergman, H, Cervenka, S, Flyckt, L, Edman, G, Farde, L (2014) Meta-analysis of cognitive performance in drug-naïve patients with schizophrenia. Schizophrenia Research 158, 156–162.Google Scholar
Fjell, AM, Walhovd, KB (2001) P300 and neuropsychological tests as measures of aging: scalp topography and cognitive changes. Brain Topography 14, 25–40.CrossRefGoogle ScholarPubMed
Forbes, NF, Carrick, LA, McIntosh, AM, Lawrie, SM (2009) Working memory in schizophrenia: a meta-analysis. Psychological Medicine 39, 889–905.Google Scholar
Ford, JM (2014) Decomposing P300 to identify its genetic basis. Psychophysiology 51, 1325–1326.Google Scholar
Fraguas, D, Díaz-Caneja, CM, Pina-Camacho, L, Janssen, J, Arango, C (2016) Progressive brain changes in children and adolescents with early-onset psychosis: a meta-analysis of longitudinal MRI studies. Schizophrenia Research 173, 132–139.Google Scholar
Frangou, S, Sharma, T, Sigmudsson, T, Barta, P, Pearlson, G, Murray, RM (1997) The Maudsley Family Study. 4. Normal planum temporale asymmetry in familial schizophrenia. A volumetric MRI study. The British Journal of Psychiatry 170, 328–333.CrossRefGoogle ScholarPubMed
Fusar-Poli, P, Deste, G, Smieskova, R, Barlati, S, Yung, AR, Howes, O, Stieglitz, R-D, Vita, A, McGuire, P, Borgwardt, S (2012) Cognitive functioning in prodromal psychosis: a meta-analysis. American Medical Association. Archives of General Psychiatry 69, 562–571.Google Scholar
Fusar-Poli, P, Smieskova, R, Kempton, MJ, Ho, BC, Andreasen, NC, Borgwardt, S (2013) Progressive brain changes in schizophrenia related to antipsychotic treatment? A meta-analysis of longitudinal MRI studies. Neuroscience & Biobehavioral Reviews 37, 1680–1691.Google Scholar
Geschwind, DH, Flint, J (2015) Genetics and genomics of psychiatric disease. Science 349, 1489–1494.Google Scholar
Gladsjo, JA, McAdams, LA, Palmer, BW, Moore, DJ, Jeste, DV, Heaton, RK (2004) A six-factor model of cognition in schizophrenia and related psychotic disorders: relationships with clinical symptoms and functional capacity. Schizophrenia Bulletin 30, 739.Google Scholar
Glahn, DC, Bearden, CE, Cakir, S, Barrett, JA, Najt, P, Serap Monkul, E, Maples, N, Velligan, DI, Soares, JC (2006) Differential working memory impairment in bipolar disorder and schizophrenia: effects of lifetime history of psychosis. Bipolar Disorders 8, 117–123.Google Scholar
Gogtay, N, Sporn, A, Clasen, LS, Greenstein, D, Giedd, JN, Lenane, M, Gochman, PA, Zijdenbos, A, Rapoport, JL (2003) Structural brain MRI abnormalities in healthy siblings of patients with childhood-onset schizophrenia. American Journal of Psychiatry 160, 569–571.Google Scholar
González-Blanch, C, Crespo-Facorro, B, Álvarez-Jiménez, M, Rodríguez-Sánchez, JM, Pelayo-Terán, JM, Pérez-Iglesias, R, Vázquez-Barquero, JL (2007) Cognitive dimensions in first-episode schizophrenia spectrum disorders. Journal of Psychiatric Research 41, 968–977.Google Scholar
Goodin, DS, Squires, KC, Henderson, BH, Starr, A (1978) Age-related variations in evoked potentials to auditory stimuli in normal human subjects. Electroencephalography and Clinical Neurophysiology 44, 447–458.Google Scholar
Gottesman, II, Gould, TD (2003) The endophenotype concept in psychiatry: etymology and strategic intentions. American Journal of Psychiatry 160, 636–645.Google Scholar
Gratten, J, Wray, NR, Keller, MC, Visscher, PM (2014) Large-scale genomics unveils the genetic architecture of psychiatric disorders. Nature Research. Nature Neuroscience 17, 782–790.Google Scholar
Green, EK, Rees, E, Walters, JTR, Smith, K-G, Forty, L, Grozeva, D, Moran, JL, Sklar, P, Ripke, S, Chambert, KD, Genovese, G, McCarroll, SA, Jones, I, Jones, L, Owen, MJ, O'Donovan, MC, Craddock, N, Kirov, G (2015) Copy number variation in bipolar disorder. Macmillan Publishers Limited. Molecular Psychiatry 21, 89.CrossRefGoogle Scholar
Grozeva, D, Conrad, DF, Barnes, CP, Hurles, M, Owen, MJ, O'Donovan, MC, Craddock, N, Kirov, G (2011) Independent estimation of the frequency of rare CNVs in the UK population confirms their role in schizophrenia. Schizophrenia Research 135, 1–7.Google Scholar
Gur, RE, Calkins, ME, Gur, RC, Horan, WP, Nuechterlein, KH, Seidman, LJ, Stone, WS (2007) The consortium on the genetics of schizophrenia: neurocognitive endophenotypes. Schizophrenia Bulletin 33, 49–68.Google Scholar
Gur, RERCRE, Braff, DL, Calkins, ME, Dobie, DJ, Freedman, R, Green, MF, Greenwood, TA, Lazzeroni, LC, Light, GA, Nuechterlein, KH, Olincy, A, Radant, AD, Seidman, LJ, Siever, LJ, Silverman, JM, Sprock, J, Stone, WS, Sugar, CA, Swerdlow, NR, Tsuang, DW, Tsuang, MT, Turetsky, BI, Gur, RERCRE (2015) Neurocognitive performance in family-based and case-control studies of schizophrenia. Elsevier B.V. Schizophrenia Research 163, 17–23.CrossRefGoogle Scholar
Habets, P, Marcelis, M, Gronenschild, E, Drukker, M, Van Os, J (2011) Reduced cortical thickness as an outcome of differential sensitivity to environmental risks in schizophrenia. Biological Psychiatry 69, 487–494.CrossRefGoogle ScholarPubMed
Haijma, SV, Van Haren, N, Cahn, W, Koolschijn, PCMP, Hulshoff Pol, HE, Kahn, RS (2013) Brain volumes in schizophrenia: a meta-analysis in over 18 000 subjects. Schizophrenia Bulletin 39, 1129–1138.Google Scholar
Hall, M-H, Levy, DL, Salisbury, DF, Haddad, S, Gallagher, P, Lohan, M, Cohen, B, Öngür, D, Smoller, JW, Ongür, D, Smoller, JW (2014) Neurophysiologic effect of GWAS derived schizophrenia and bipolar risk variants. American Journal of Medical Genetics. Part B, Neuropsychiatric Genetics 165B, 9–18.Google Scholar
Hall, MH, Schulze, K, Bramon, E, Murray, RM, Sham, P, Rijsdijk, F (2006 a). Genetic overlap between P300, P50, and duration mismatch negativity. American Journal of Medical Genetics, Part B: Neuropsychiatric Genetics 141, 336–343.CrossRefGoogle Scholar
Hall, MH, Schulze, K, Rijsdijk, F, Picchioni, M, Ettinger, U, Bramon, E, Freedman, R, Murray, RM, Sham, P (2006 b). Heritability and reliability of P300, P50 and duration mismatch negativity. Kluwer Academic Publishers-Plenum Publishers. Behavior Genetics 36, 845–857.CrossRefGoogle Scholar
Hall, MH, Smoller, JW (2010) A new role for endophenotypes in the GWAS era: functional characterization of risk variants. Harvard Review Psychiatry 18, 67–74.Google Scholar
Harrison, PJ (2015) Recent genetic findings in schizophrenia and their therapeutic relevance. Journal of Psychopharmacology (Oxford, England) 29, 85–96.Google Scholar
Hartberg, CB, Sundet, K, Rimol, LM, Haukvik, UK, Lange, EH, Nesvåg, R, Melle, I, Andreassen, OA, Agartz, I (2011) Subcortical brain volumes relate to neurocognition in schizophrenia and bipolar disorder and healthy controls. Progress in Neuro-Psychopharmacology & Biological Psychiatry 35, 1122–1130.Google Scholar
Heinrichs, RW, Zakzanis, KK (1998) Neurocognitive deficit in schizophrenia: a quantitative review of the evidence. Neuropsychology 12, 426–445.Google Scholar
Hermens, DF, Ward, PB, Hodge, MAR, Kaur, M, Naismith, SL, Hickie, IB (2010) Impaired MMN/P3a complex in first-episode psychosis: cognitive and psychosocial associations. Progress in Neuro-Psychopharmacology and Biological Psychiatry 34, 822–829.Google Scholar
Heslenfeld, DJ (2003) Visual mismatch negativity. In Detection of Change: Event-Related Potential and fMRI Findings (ed. Polich, J.), pp. 41–59. Springer US: Boston.Google Scholar
Ho, B-C, Andreasen, NC, Ziebell, S, Pierson, R, Magnotta, V (2011) Long-term antipsychotic treatment and brain volumes: a longitudinal study of first-episode schizophrenia. American Medical Association. Archives of General Psychiatry 68, 128–137.Google Scholar
Horan, WP, Braff, DL, Nuechterlein, KH, Sugar, CA, Cadenhead, KS, Calkins, ME, Dobie, DJ, Freedman, R, Greenwood, TA, Gur, RE, Gur, RC, Light, GA, Mintz, J, Olincy, A, Radant, AD, Schork, NJ, Seidman, LJ, Siever, LJ, Silverman, JM, Stone, WS, Swerdlow, NR, Tsuang, DW, Tsuang, MT, Turetsky, BI, Green, MF (2008) Verbal working memory impairments in individuals with schizophrenia and their first-degree relatives: findings from the consortium on the genetics of schizophrenia. Schizophrenia Research 103, 218–228.CrossRefGoogle Scholar
Huhtaniska, S, Jääskeläinen, E, Hirvonen, N, Remes, J, Murray, GK, Veijola, J, Isohanni, M, Miettunen, J (2017) Long-term antipsychotic use and brain changes in schizophrenia – a systematic review and meta-analysis. Human Psychopharmacology: Clinical and Experimental 32, e2574.Google Scholar
Hulshoff Pol, HE, Schnack, HG, Bertens, MGBC, van Haren, NEM, van der Tweel, I, Staal, WG, Baaré, WFC, Kahn, RS (2002) Volume changes in gray matter in patients with schizophrenia. The American Journal of Psychiatry 159, 244–250.Google Scholar
Ian, K, Jenner, JA, Cannon, M (2010) Psychotic symptoms in the general population – an evolutionary perspective. The British Journal of Psychiatry: The Journal of Mental Science 197, 167–169.Google Scholar
Ivleva, EI, Morris, DW, Osuji, J, Moates, AF, Carmody, TJ, Thaker, GK, Cullum, M, Tamminga, CA (2012) Cognitive endophenotypes of psychosis within dimension and diagnosis. Elsevier B.V. Psychiatry Research 196, 38–44.CrossRefGoogle Scholar
Jasper, H (1958) Report to the committee on methods of clinical examination in electroencephalography. Electroencephalography and Clinical Neurophysiology 10, 371–375.Google Scholar
Johns, LC, van Os, J (2001) The continuity of psychotic experiences in the general population. Clinical Psychology Review 21, 1125–1141.Google Scholar
Johnstone, EC, Ebmeier, KP, Miller, P, Owens, DGC, Lawrie, SM (2005) Predicting schizophrenia: findings from the Edinburgh High-Risk Study. The British Journal of Psychiatry 186, 18–25.CrossRefGoogle ScholarPubMed
Kaur, M, Battisti, RA, Ward, PB, Ahmed, A, Hickie, IB, Hermens, DF (2011) MMN/p3a deficits in first episode psychosis: comparing schizophrenia-spectrum and affective-spectrum subgroups. Elsevier B.V. Schizophrenia Research 130, 203–209.Google Scholar
Keilp, JG, Sweeney, JA, Jacobsen, P, Solomon, C, St. Louis, L, Deck, M, Frances, A, Mann, JJ (1988) Cognitive impairment in schizophrenia: specific relations to ventricular size and negative symptomatology. Biological Psychiatry 24, 47–55.Google Scholar
Kempton, MJ, Stahl, D, Williams, SCR, DeLisi, LE (2010) Progressive lateral ventricular enlargement in schizophrenia: a meta-analysis of longitudinal MRI studies. Schizophrenia Research 120, 54–62.Google Scholar
Kim, D, Kim, J, Koo, T, Yun, H, Won, S (2015 a). Shared and distinct neurocognitive endophenotypes of schizophrenia and psychotic bipolar disorder. Clinical Psychopharmacology and Neuroscience 13, 94–102.Google Scholar
Kim, M, Seo, H-J, Yun, H, Jung, Y-E, Park, JH, Lee, C-I, Moon, JH, Hong, S-C, Yoon, B-H, Bahk, W-M (2015 b). The relationship between cognitive decline and psychopathology in patients with schizophrenia and bipolar disorder. Clinical Psychopharmacology and Neuroscience 13, 103–108.Google Scholar
Kim, M-S, Kang, S-S, Youn, T, Kang, D-H, Kim, J-J, Kwon, JS (2003) Neuropsychological correlates of P300 abnormalities in patients with schizophrenia and obsessive-compulsive disorder. Psychiatry Research: Neuroimaging 123, 109–123.Google Scholar
Konopaske, GT, Dorph-Petersen, KA, Pierri, JN, Wu, Q, Sampson, AR, Lewis, DA (2007) Effect of chronic exposure to antipsychotic medication on cell numbers in the parietal cortex of macaque monkeys. Neuropsychopharmacology 32, 1216–1223.Google Scholar
Korver, N, Quee, PJ, Boos, HBM, Simons, CJP, de Haan, L (2012) Genetic Risk and Outcome of Psychosis (GROUP), a multi site longitudinal cohort study focused on gene-environment interaction: objectives, sample characteristics, recruitment and assessment methods. International Journal of Methods in Psychiatric Research 21, 205–221.Google Scholar
Kujala, A, Naatanen, R (2003) Auditory environment and change detection as indexed by the mismarch gegativity (MMN). In Detection of Change: Event-Related Potential and fMRI Findings (ed. Polich, J.), pp. 1–22. Springer US: Boston.Google Scholar
Kumra, S, Giedd, JN, Vaituzis, AC, Jacobsen, LK, McKenna, K, Bedwell, J, Hamburger, S, Nelson, JE, Lenane, M, Rapoport, JL (2014) Childhood-onset psychotic disorders: magnetic resonance imaging of volumetric differences in brain structure. American Journal of Psychiatry 157, 1467–1474.Google Scholar
Lee, J, Green, MF, Calkins, ME, Greenwood, TA, Gur, RERC, Gur, RERC, Lazzeroni, LC, Light, GA, Nuechterlein, KH, Radant, AD, Seidman, LJ, Siever, LJ, Silverman, JM, Sprock, J, Stone, WS, Sugar, CA, Swerdlow, NR, Tsuang, DW, Tsuang, MT, Turetsky, BI, Braff, DL (2015) Verbal working memory in schizophrenia from the Consortium on the Genetics of Schizophrenia (COGS) Study: the moderating role of smoking status and antipsychotic medications. Elsevier. Schizophrenia Research 163, 24–31.Google Scholar
Lee, SH, Ripke, S, Neale, BM, Faraone, SV, Purcell, SM, Perlis, RH, Mowry, BJ, Thapar, A, Goddard, ME, Witte, JS, Absher, D, Agartz, I, Akil, H, Amin, F, Andreassen, OA, Anjorin, A, Anney, R, Anttila, V, Arking, DE, Asherson, P, Azevedo, MH, Backlund, L, Badner, JA, Bailey, AJ, Banaschewski, T, Barchas, JD, Barnes, MR, Barrett, TB, Bass, N, Battaglia, A, Bauer, M, Bayés, M, Bellivier, F, Bergen, SE, Berrettini, W, Betancur, C, Bettecken, T, Biederman, J, Binder, EB, Black, DW, Blackwood, DHR, Bloss, CS, Boehnke, M, Boomsma, DI, Breen, G, Breuer, R, Bruggeman, R, Cormican, P, Buccola, NG, Buitelaar, JK, Bunney, WE, Buxbaum, JD, Byerley, WF, Byrne, EM, Caesar, S, Cahn, W, Cantor, RM, Casas, M, Chakravarti, A, Chambert, K, Choudhury, K, Cichon, S, Cloninger, CR, Collier, DA, Cook, EH, Coon, H, Cormand, B, Corvin, A, Coryell, WH, Craig, DW, Craig, IW, Crosbie, J, Cuccaro, ML, Curtis, D, Czamara, D, Datta, S, Dawson, G, Day, R, De Geus, EJ, Degenhardt, F, Djurovic, S, Donohoe, GJ, Doyle, AE, Duan, J, Dudbridge, F, Duketis, E, Ebstein, RP, Edenberg, HJ, Elia, J, Ennis, S, Etain, B, Fanous, A, Farmer, AE, Ferrier, IN, Flickinger, M, Fombonne, E, Foroud, T, Frank, J, Franke, B, Fraser, C, Freedman, R, Freimer, NB, Freitag, CM, Friedl, M, Frisén, L, Gallagher, L, Gejman, PV, Georgieva, L, Gershon, ES, Geschwind, DH, Giegling, I, Gill, M, Gordon, SD, Gordon Smith, K, Green, EK, Greenwood, TA, Grice, DE, Gross, M, Grozeva, D, Guan, W, Gurling, H, De Haan, L, Haines, JL, Hakonarson, H, Joachim Hallmayer, J, Hamilton, SP, Hamshere, ML, Hansen, TF, Hartmann, AM, Hautzinger, M, Heath, AC, Henders, AK, Herms, S, Hickie, IB, Hipolito, M, Hoefels, S, Holmans, PA, Holsboer, F, Hoogendijk, WJ, Hottenga, JJ, Hultman, CM, Hus, V, Ingason, A, Ising, M, Jamain, S, Jones, EG, Jones, I, Jones, L, Jung-Ying, T, Kähler, AK, Kahn, RS, Kandaswamy, R, Keller, MC, Kennedy, JL, Kenny, E, Kent, L, Kim, Y, Kirov, GK, Klauck, SM, Klei, L, Knowles, JA, Kohli, MA, Koller, DL, Konte, B, Korszun, A, Krabbendam, L, Krasucki, R, Kuntsi, J, Kwan, P, Landén, M, Långström, N, Lathrop, M, Lawrence, J, Lawson, WB, Leboyer, M, Ledbetter, DH, Hyoun Lee, P, Lencz, T, Lesch, KP, Levinson, DF, Lewis, CM, Li, J, Lichtenstein, P, Lieberman, JA, Lin, DY, Linszen, DH, Liu, C, Lohoff, FW, Loo, SK, Lord, C, Lowe, JK, Lucae, S, MacIntyre, DJ, Madden, PAF, Maestrini, E, Magnusson, PKE, Mahon, PB, Maier, W, Malhotra, AK, Mane, SM, Martin, CL, Martin, NG, Mattheisen, M, Matthews, K, Mattingsdal, M, McCarroll, SA, McGhee, KA, McGough, JJ, McGrath, PJ, McGuffin, P, McInnis, MG, McIntosh, A, McKinney, R, McLean, AW, McMahon, FJ, McMahon, WM, McQuillin, A, Medeiros, H, Medland, SE, Meier, S, Melle, I, Meng, F, Meyer, J, Middeldorp, CM, Middleton, L, Milanova, V, Miranda, A, Monaco, AP, Montgomery, GW, Moran, JL, Moreno-De-Luca, D, Morken, G, Morris, DW, Morrow, EM, Moskvina, V, Muglia, P, Mühleisen, TW, Muir, WJ, Müller-Myhsok, B, Murtha, M, Myers, RM, Myin-Germeys, I, Neale, MC, Nelson, SF, Nievergelt, CM, Nikolov, I, Nimgaonkar, V, Nolen, WA, Nöthen, MM, Nurnberger, JI, Nwulia, EA, Nyholt, DR, O'Dushlaine, C, Oades, RD, Ann Olincy, A, Guiomar Oliveira, G, Olsen, L, Ophoff, RA, Osby, U, Owen, MJ, Palotie, A, Parr, JR, Paterson, AD, Pato, CN, Pato, MT, Penninx, BW, Pergadia, ML, Pericak-Vance, MA, Pickard, BS, Pimm, J, Piven, J, Posthuma, D, Potash, JB, Poustka, F, Propping, P, Puri, V, Quested, DJ, Quinn, EM, Ramos-Quiroga, JA, Rasmussen, HB, Raychaudhuri, S, Rehnström, K, Reif, A, Ribasés, M, Rice, JP, Rietschel, M, Roeder, K, Roeyers, H, Rossin, L, Rothenberger, A, Rouleau, G, Ruderfer, D, Rujescu, D, Sanders, AR, Sanders, SJ, Santangelo, S, Sargeant, JA, Schachar, R, Schalling, M, Schatzberg, AF, Scheftner, WA, Schellenberg, GD, Scherer, SW, Schork, NJ, Schulze, TG, Schumacher, J, Schwarz, M, Scolnick, E, Scott, LJ, Shi, J, Shilling, PD, Shyn, SI, Silverman, JM, Slager, SL, Smalley, SL, Smit, JH, Smith, EN, Sonuga-Barke, EJS, St Clair, D, State, M, Steffens, M, Steinhausen, HC, Strauss, JS, Strohmaier, J, Stroup, TS, Sutcliffe, J, Szatmari, P, Szelinger, S, Thirumalai, S, Thompson, RC, Todorov, AA, Tozzi, F, Treutlein, J, Uhr, M, van den Oord, EJCG, Van Grootheest, G, Van Os, J, Vicente, AM, Vieland, VJ, Vincent, JB, Visscher, PM, Walsh, CA, Wassink, TH, Watson, SJ, Weissman, MM, Werge, T, Wienker, TF, Wiersma, D, Wijsman, EM, Willemsen, G, Williams, N, Willsey, AJ, Witt, SH, Xu, W, Young, AH, Yu, TW, Zammit, S, Zandi, PP, Zhang, P, Zitman, FG, Zöllner, S, International Inflammatory Bowel Disease Genetics Consortium (IIBDGC), Devlin, B, Kelsoe, JR, Sklar, P, Daly, MJ, O'Donovan, MC, Craddock, N, Sullivan, PF, Smoller, JW, Kendler, KS, Wray, NR (2013) Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs. Nature Genetics 45, 984–994.Google Scholar
Light, GA, Swerdlow, NR, Thomas, ML, Calkins, ME, Green, MF, Greenwood, TA, Gur, RE, Gur, RC, Lazzeroni, LC, Nuechterlein, KH, Pela, M, Radant, AD, Seidman, LJ, Sharp, RF, Siever, LJ, Silverman, JM, Sprock, J, Stone, WS, Sugar, CA, Tsuang, DW, Tsuang, MT, Braff, DL, Turetsky, BI (2015) Validation of mismatch negativity and P3a for use in multi-site studies of schizophrenia: characterization of demographic, clinical, cognitive, and functional correlates in COGS-2. Elsevier B.V. Schizophrenia Research 163, 63–72.Google Scholar
Massuda, R, Bücker, J, Czepielewski, LS, Narvaez, JC, Pedrini, M, Santos, BT, Teixeira, AS, Souza, AL, Vasconcelos-Moreno, MP, Vianna-Sulzbach, M, Goi, PD, Belmonte-de-Abreu, P, Gama, CS (2013) Verbal memory impairment in healthy siblings of patients with schizophrenia. Schizophrenia Research 150, 580–582.Google Scholar
Mata, I, Perez-Iglesias, R, Roiz-Santiañez, R, Tordesillas-Gutierrez, D, Gonzalez-Mandly, A, Vazquez-Barquero, JL, Crespo-Facorro, B (2009) A neuregulin 1 variant is associated with increased lateral ventricle volume in patients with first-episode schizophrenia. Society of Biological Psychiatry. Biological Psychiatry 65, 535–540.Google Scholar
McDonald, C, Grech, A, Toulopoulou, T, Schulze, K, Chapple, B, Sham, P, Walshe, M, Sharma, T, Sigmundsson, T, Chitnis, X, Murray, RM (2002) Brain volumes in familial and non-familial schizophrenic probands and their unaffected relatives. American Journal of Medical Genetics 114, 616–625.CrossRefGoogle ScholarPubMed
McDonald, C, Marshall, N, Sham, PC, Bullmore, ET, Schulze, K, Chapple, B, Bramon, E, Filbey, F, Quraishi, S, Walshe, M, Murray, RM (2006) Regional brain morphometry in patients with schizophrenia or bipolar disorder and their unaffected relatives. The American Journal of Psychiatry 163, 478–487.Google Scholar
McIntosh, AM, Harrison, LK, Forrester, K, Lawrie, SM, Johnstone, EC (2005 a). Neuropsychological impairments in people with schizophrenia or bipolar disorder and their unaffected relatives. The British Journal of Psychiatry: The Journal of Mental Science 186, 378–385.CrossRefGoogle ScholarPubMed
McIntosh, AM, Job, DE, Moorhead, TWJ, Harrison, LK, Forrester, K, Lawrie, SM, Johnstone, EC (2004) Voxel-based morphometry of patients with schizophrenia or bipolar disorder and their unaffected relatives. Biological Psychiatry 56, 544–552.Google Scholar
McIntosh, AM, Job, DE, Moorhead, TWJ, Harrison, LK, Lawrie, SM, Johnstone, EC (2005 b). White matter density in patients with schizophrenia, bipolar disorder and their unaffected relatives. Biological Psychiatry 58, 254–257.Google Scholar
Moberget, T, Doan, NT, Alnæs, D, Kaufmann, T, Córdova-Palomera, A, Lagerberg, TV, Diedrichsen, J, Schwarz, E, Zink, M, Eisenacher, S, Kirsch, P, Jönsson, EG, Fatouros-Bergman, H, Flyckt, L, Pergola, G, Quarto, T, Bertolino, A, Barch, D, Meyer-Lindenberg, A, Agartz, I, Andreassen, OA, Westlye, LT (2017) Cerebellar volume and cerebellocerebral structural covariance in schizophrenia: a multisite mega-analysis of 983 patients and 1349 healthy controls. Nature Publishing Group. Molecular Psychiatry.Google Scholar
Näätänen, R (1990) The role of attention in auditory information processing as revealed by event-related potentials and other brain measures of cognitive function. Behavioral and Brain Sciences 13, 201–233.Google Scholar
Olabi, B, Ellison-Wright, I, McIntosh, AM, Wood, SJ, Bullmore, E, Lawrie, SM (2011) Are there progressive brain changes in schizophrenia? A meta-analysis of structural magnetic resonance imaging studies. Biological Psychiatry 70, 88–96.Google Scholar
Park, S, Gooding, DC (2014) Working memory impairment as an endophenotypic marker of a schizophrenia diathesis. The Authors. Schizophrenia Research: Cognition 1, 127–136.Google Scholar
Perneger, TV (1998) What's wrong with Bonferroni adjustments. British Medical Journal 316, 1236–1238.Google Scholar
Pierson, A, Jouvent, R, Quintin, P, Perez-Diaz, F, Leboyer, M (2000) Information processing deficits in relatives of manic depressive patients. Psychological Medicine 30, 545–555.Google Scholar
Pilowsky, LS, Kerwin, RW, Murray, RM (1993) Schizophrenia: a neurodevelopmental perspective. Neuropsychopharmacology 9, 83–91.Google Scholar
Polich, J (1992) On the correlation between P300 amplitude and latency. Bulletin of the Psychonomic Society 30, 5–8.Google Scholar
Polich, J (1996) Meta-analysis of P300 normative aging studies. Psychophysiology 33, 334–353.Google Scholar
Polich, J (2007) Updating P300: an integrative theory of P3a and P3b. Clinical Neurophysiology: Official Journal of the International Federation of Clinical Neurophysiology 118, 2128–2148.Google Scholar
Polich, J (2011) Neurophychology of P300. In The Oxford Handbook of Event-Related Potential Components (ed. Kappenman, E. S. and Luck, S. J.), pp. 89–294. Oxford University Press: New York.Google Scholar
Polich, J, Alexander, JE, Bauer, LO, Kuperman, S, Morzorati, S, O'Connor, SJ, Porjesz, B, Rohrbaugh, J, Begleiter, H (1997) P300 topography of amplitude/latency correlations. Brain topography 9, 275–282.Google Scholar
Polich, J, Howard, L, Starr, A (1983) P300 latency correlates with digit span. Psychophysiology 20, 665–669.Google Scholar
Polich, J, Howard, L, Starr, A (1985) Effects of age on the P300 component of the event-related potential from auditory stimuli: peak definition, variation, and measurement. Journal of Gerontology 40, 721–726.Google Scholar
Price, GW, Michie, PT, Johnston, J, Innes-Brown, H, Kent, A, Clissa, P, Jablensky, AV (2006) A multivariate electrophysiological endophenotype, from a unitary cohort, shows greater research utility than any single feature in the Western Australian Family Study of schizophrenia. Biological Psychiatry 60, 1–10.Google Scholar
Psychosis Endophenotypes International Consortium PEI, Wellcome Trust Case-Control Consortium 2 WTC-CC, Bramon, E, Pirinen, M, Strange, A, Lin, K, Freeman, C, Bellenguez, C, Su, Z, Band, G, Pearson, R, Vukcevic, D, Langford, C, Deloukas, P, Hunt, S, Gray, E, Dronov, S, Potter, SC, Tashakkori-Ghanbaria, A, Edkins, S, Bumpstead, SJ, Arranz, MJ, Bakker, S, Bender, S, Bruggeman, R, Cahn, W, Chandler, D, Collier, DA, Crespo-Facorro, B, Dazzan, P, de Haan, L, Di Forti, M, Dragović, M, Giegling, I, Hall, J, Iyegbe, C, Jablensky, A, Kahn, RS, Kalaydjieva, L, Kravariti, E, Lawrie, S, Linszen, DH, Mata, I, McDonald, C, McIntosh, A, Myin-Germeys, I, Ophoff, RA, Pariante, CM, Paunio, T, Picchioni, M, Psychiatric Genomics Consortium, Ripke, S, Rujescu, D, Sauer, H, Shaikh, M, Sussmann, J, Suvisaari, J, Tosato, S, Toulopoulou, T, Van Os, J, Walshe, M, Weisbrod, M, Whalley, H, Wiersma, D, Blackwell, JM, Brown, MA, Casas, JP, Corvin, A, Duncanson, A, Jankowski, JAZ, Markus, HS, Mathew, CG, Palmer, CNA, Plomin, R, Rautanen, A, Sawcer, SJ, Trembath, RC, Wood, NW, Barroso, I, Peltonen, L, Lewis, CM, Murray, RM, Donnelly, P, Powell, J, Spencer, CCA (2014) A genome-wide association analysis of a broad psychosis phenotype identifies three loci for further investigation. Elsevier. Biological Psychiatry 75, 386–397.Google Scholar
Purcell, SM, Wray, NR, Stone, JL, Visscher, PM, O'Donovan, MC, Sullivan, PF, Sklar, P (2009) Common polygenic variation contributes to risk of schizophrenia and bipolar disorder. Nature 460, 748–752.Google Scholar
Ramchurn, A, de Fockert, JW, Mason, L, Darling, S, Bunce, D (2014) Intraindividual reaction time variability affects P300 amplitude rather than latency. Frontiers. Frontiers in Human Neuroscience 8, 557.Google Scholar
Ranlund, S, Nottage, J, Shaikh, M, Dutt, A, Constante, M, Walshe, M, Hall, MH, Friston, K, Murray, R, Bramon, E (2014) Resting EEG in psychosis and at-risk populations – A possible endophenotype? The Authors. Schizophrenia Research 153, 96–102.Google Scholar
Reichenberg, A, Caspi, A, Harrington, H, Houts, R, Keefe, RSE, Murray, RM, Poulton, R, Moffitt, TE (2010) Static and dynamic cognitive deficits in childhood preceding adult schizophrenia: a 30-year study. The American Journal of Psychiatry 167, 160–169.Google Scholar
Rey, A (1964) L'Examen Clinique en Psychologie. Presses Universitaires de France: Paris.Google Scholar
Ripke, S, Neale, BM, Corvin, A, Walter, JTR, Schizophrenia Working Group of the Psychiatric Genomics Consortium (2014) Biological insights from 108 schizophrenia-associated genetic loci. Nature 511, 421–427.Google Scholar
Ripke, S, O'Dushlaine, C, Chambert, K, Moran, JL, Kähler, AK, Akterin, S, Bergen, SE, Collins, AL, Crowley, JJ, Fromer, M, Kim, Y, Lee, SH, Magnusson, PKE, Sanchez, N, Stahl, EA, Williams, S, Wray, NR, Xia, K, Bettella, F, Borglum, AD, Bulik-Sullivan, BK, Cormican, P, Craddock, N, de Leeuw, C, Durmishi, N, Gill, M, Golimbet, V, Hamshere, ML, Holmans, P, Hougaard, DM, Kendler, KS, Lin, K, Morris, DW, Mors, O, Mortensen, PB, Neale, BM, O'Neill, FA, Owen, MJ, Milovancevic, MP, Posthuma, D, Powell, J, Richards, AL, Riley, BP, Ruderfer, D, Rujescu, D, Sigurdsson, E, Silagadze, T, Smit, AB, Stefansson, H, Steinberg, S, Suvisaari, J, Tosato, S, Verhage, M, Walters, JT, Consortium MGS of S, Consortium PEI, 2 WTCCC, Bramon, E, Corvin, AP, O'Donovan, MC, Stefansson, K, Scolnick, E, Purcell, S, McCarroll, SA, Sklar, P, Hultman, CM, Sullivan, PF (2013) Genome-wide association analysis identifies 13 new risk loci for schizophrenia. Nature Genetics 45, 1150–1159.Google Scholar
Rothman, KJ (1990) No adjustments are needed for multiple comparisons. Epidemiology (Cambridge, Mass.) 1, 43–46.Google Scholar
Saperstein, AM, Fuller, RL, Avila, MT, Adami, H, McMahon, RP, Thaker, GK, Gold, JM (2006) Spatial working memory as a cognitive endophenotype of schizophrenia: assessing risk for pathophysiological dysfunction. Schizophrenia Bulletin 32, 498–506.Google Scholar
Savitz, DA, Olshan, AF (1995) Multiple comparisons and related issues in the interpretation of epidemiologic data. American Journal of Epidemiology 142, 904–908.Google Scholar
Schulze, K, MacCabe, JH, Rabe-Hesketh, S, Crawford, T, Marshall, N, Zanelli, J, Walshe, M, Bramon, E, Murray, RM, McDonald, C (2006) The relationship between eye movement and brain structural abnormalities in patients with schizophrenia and their unaffected relatives. Journal of Psychiatric Research 40, 589–598.Google Scholar
Schulze, KK, Hall, MHM-H, Mcdonald, C, Marshall, N, Walshe, M, Murray, RM, Bramon, E (2008) Auditory P300 in patients with bipolar disorder and their unaffected relatives. Bipolar Disorders 10, 377–386.CrossRefGoogle ScholarPubMed
Seidman, LJ, Hellemann, G, Nuechterlein, KH, Greenwood, TA, Braff, DL, Cadenhead, KS, Calkins, ME, Freedman, R, Gur, RE, Gur, RC, Lazzeroni, LC, Light, GA, Olincy, A, Radant, AD, Siever, LJ, Silverman, JM, Sprock, J, Stone, WS, Sugar, C, Swerdlow, NR, Tsuang, DW, Tsuang, MT, Turetsky, BI, Green, MF (2015) Factor structure and heritability of endophenotypes in schizophrenia: findings from the Consortium on the Genetics of Schizophrenia (COGS-1). Elsevier B.V. Schizophrenia Research 163, 73–79.Google Scholar
Semlitsch, HV, Anderer, P, Schuster, P, Presslich, O (1986) A solution for reliable and valid reduction of ocular artifacts, applied to the P300 ERP. Psychophysiology 23, 695–703.Google Scholar
Shaikh, M, Hall, M-H, Schulze, K, Dutt, A, Li, K, Williams, I, Walshe, M, Constante, M, Broome, M, Picchioni, M, Toulopoulou, T, Collier, D, Stahl, D, Rijsdijk, F, Powell, J, Murray, RM, Arranz, M, Bramon, E (2013) Effect of DISC1 on the P300 waveform in psychosis. Oxford University Press. Schizophrenia Bulletin 39, 161–167.Google Scholar
Sharma, T, Lancaster, E, Lee, D, Lewis, S, Sigmundsson, T, Takei, N, Gurling, H, Barta, P, Pearlson, G, Murray, R (1998) Brain changes in schizophrenia. Volumetric MRI study of families multiply affected with schizophrenia – the Maudsley Family Study 5. The British Journal of Psychiatry: The Journal of Mental Science 173, 132–138.Google Scholar
Sheffield, JM, Gold, JM, Strauss, ME, Carter, CS, MacDonald, AW, Ragland, JD, Silverstein, SM, Barch, DM (2014) Common and specific cognitive deficits in schizophrenia: relationships to function. Cognitive, Affective & Behavioral Neuroscience 14, 161–174.Google Scholar
Shenton, ME, Dickey, CC, Frumin, M, McCarley, RW (2001) A review of MRI findings in schizophrenia. Schizophrenia Research 49, 1–52.Google Scholar
Sitskoorn, MM, Aleman, A, Ebisch, SJH, Appels, MCM, Kahn, RS (2004) Cognitive deficits in relatives of patients with schizophrenia: a meta-analysis. Schizophrenia Research 71, 285–295.Google Scholar
Sklar, P, Ripke, S, Scott, LJ, Andreassen, OA, Psychiatric GWAS Consortium Bipolar Disorder Working Group (2011) Large-scale genome-wide association analysis of bipolar disorder identifies a new susceptibility locus near ODZ4. Nature Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved. Nature Genetics 43, 977–983.Google Scholar
Smoller, JW, Finn, CT (2003) Family, twin, and adoption studies of bipolar disorder. American Journal of Medical Genetics Part C: Seminars in Medical Genetics 123C, 48–58.Google Scholar
Smoller, JW, Kendler, KS, Craddock, N, Lee, PH, Neale, BM, Nurnberger, JI, Ripke, S, Santangelo, S, Sullivan, PF, Purcell, S, Anney, R, Buitelaar, J, Fanous, A, Faraone, SV, Hoogendijk, W, Lesch, KP, Levinson, DF, Perlis, RH, Shaun, P, Rietschel, M, Riley, B, Sonuga-Barke, E, Schachar, R, Schulze, TG, Thapar, A, Fanous, A, Neale, B, Neale, M, Nurnberger, JI, Perlis, R, Bender, P, Cichon, S, Daly, MJ, Kelsoe, J, Lehner, T, Levinson, D, O'Donovan, M, Gejman, P, Sebat, J, Sklar, P (2013) Identification of risk loci with shared effects on five major psychiatric disorders: a genome-wide analysis. The Lancet 381, 1371–1379.Google Scholar
Snitz, BE, Macdonald, AW, Carter, CS (2006) Cognitive deficits in unaffected first-degree relatives of schizophrenia patients: a meta-analytic review of putative endophenotypes. Schizophrenia Bulletin 32, 179–194.Google Scholar
Souza, VBN, Muir, WJ, Walker, MT, Glabus, MF, Roxborough, HM, Sharp, CW, Dunan, JR, Blackwood, DHR (1995) Auditory P300 event-related potentials and neuropsychological performance in schizophrenia and bipolar affective disorder. Biological Psychiatry 37, 300–310.Google Scholar
Spitzer, RL, Williams, JW, Gibbon, M, First, MB (1992) The structured clinical interview for DSM-III-r (SCID): I: History, rationale, and description. Archives of General Psychiatry 49, 624–629.Google Scholar
Steel, RM, Whalley, HC, Miller, P, Best, JJK, Johnstone, EC, Lawrie, SM (2002) Structural MRI of the brain in presumed carriers of genes for schizophrenia, their affected and unaffected siblings. Journal of Neurology Neurosurgery & Psychiatry 72, 455–458.Google ScholarPubMed
Steen, RG, Mull, C, McClure, R, Hamer, RM, Lieberman, JA (2006) Brain volume in first-episode schizophrenia: systematic review and meta-analysis of magnetic resonance imaging studies. The British Journal of Psychiatry: The Journal of Mental Science 188, 510–518.Google Scholar
Stefansson, H, Rujescu, D, Cichon, S, Pietiläinen, OPH, Ingason, A, Steinberg, S, Fossdal, R, Sigurdsson, E, Sigmundsson, T, Buizer-Voskamp, JE, Hansen, T, Jakobsen, KD, Muglia, P, Francks, C, Matthews, PM, Gylfason, A, Halldorsson, BV, Gudbjartsson, D, Thorgeirsson, TE, Sigurdsson, A, Jonasdottir, A, Jonasdottir, A, Bjornsson, A, Mattiasdottir, S, Blondal, T, Haraldsson, M, Magnusdottir, BB, Giegling, I, Möller, H-J, Hartmann, A, Shianna, KV, Ge, D, Need, AC, Crombie, C, Fraser, G, Walker, N, Lonnqvist, J, Suvisaari, J, Tuulio-Henriksson, A, Paunio, T, Toulopoulou, T, Bramon, E, Di Forti, M, Murray, R, Ruggeri, M, Vassos, E, Tosato, S, Walshe, M, Li, T, Vasilescu, C, Mühleisen, TW, Wang, AG, Ullum, H, Djurovic, S, Melle, I, Olesen, J, Kiemeney, LA, Franke, B, Sabatti, C, Freimer, NB, Gulcher, JR, Thorsteinsdottir, U, Kong, A, Andreassen, OA, Ophoff, RA, Georgi, A, Rietschel, M, Werge, T, Petursson, H, Goldstein, DB, Nöthen, MM, Peltonen, L, Collier, DA, St Clair, D, Stefansson, K, Kahn, RS, Linszen, DH, van Os, J, Wiersma, D, Bruggeman, R, Cahn, W, de Haan, L, Krabbendam, L, Myin-Germeys, I (2008) Large recurrent microdeletions associated with schizophrenia. Nature Publishing Group. Nature 455, 232–236.Google Scholar
Stone, JL, O'Donovan, MC, Gurling, H, Kirov, GK, Blackwood, DHR, Corvin, A, Craddock, NJ, Gill, M, Hultman, CM, Lichtenstein, P, McQuillin, A, Pato, CN, Ruderfer, DM, Owen, MJ, St Clair, D, Sullivan, PF, Sklar, P, Purcell, SM, Korn, J, Macgregor, S, Morris, DW, O'Dushlaine, CT, Daly, MJ, Visscher, PM, Holmans, PA, Scolnick, EM, Williams, NM, Georgieva, L, Nikolov, I, Norton, N, Williams, H, Toncheva, D, Milanova, V, Thelander, EF, Sullivan, PF, Kenny, E, Waddington, JL, Choudhury, K, Datta, S, Pimm, J, Thirumalai, S, Puri, V, Krasucki, R, Lawrence, J, Quested, D, Bass, N, Curtis, D, Crombie, C, Fraser, G, Leh Kwan, S, Walker, N, Muir, WJ, McGhee, KA, Pickard, B, Malloy, P, Maclean, AW, Van Beck, M, Pato, MT, Medeiros, H, Middleton, F, Carvalho, C, Morley, C, Fanous, A, Conti, D, Knowles, JA, Paz Ferreira, C, Macedo, A, Helena Azevedo, M, McCarroll, SA, Daly, MJ, Chambert, K, Gates, C, Gabriel, SB, Mahon, S, Ardlie, K (2008) Rare chromosomal deletions and duplications increase risk of schizophrenia. Macmillan Publishers Limited. All rights reserved. Nature 455, 237–241.Google Scholar
Stone, WS, Giuliano, AJ, Tsuang, MT, Braff, DL, Cadenhead, KS, Calkins, ME, Dobie, DJ, Faraone, SV, Freedman, R, Green, MF, Greenwood, TA, Gur, RE, Gur, RC, Light, GA, Mintz, J, Nuechterlein, KH, Olincy, A, Radant, AD, Roe, AH, Schork, NJ, Siever, LJ, Silverman, JM, Swerdlow, NR, Thomas, AR, Tsuang, DW, Turetsky, BI, Seidman, LJ (2011) Group and site differences on the California verbal learning test in persons with schizophrenia and their first-degree relatives: findings from the Consortium on the Genetics of Schizophrenia (COGS). Elsevier B.V. Schizophrenia Research 128, 102–110.Google Scholar
Stone, WS, Mesholam-Gately, RI, Braff, DL, Calkins, ME, Freedman, R, Green, MF, Greenwood, TA, Gur, RERCRE, Gur, RERCRE, Lazzeroni, LC, Light, GA, Nuechterlein, KH, Olincy, A, Radant, AD, Siever, LJ, Silverman, JM, Sprock, J, Sugar, CA, Swerdlow, NR, Tsuang, DW, Tsuang, MT, Turetsky, BI, Seidman, LJ (2015) California Verbal Learning Test-II performance in schizophrenia as a function of ascertainment strategy: comparing the first and second phases of the Consortium on the Genetics of Schizophrenia (COGS). Elsevier. Schizophrenia Research 163, 32–37.Google Scholar
Strasser, HC, Lilyestrom, J, Ashby, ER, Honeycutt, NA, Schretlen, DJ, Pulver, AE, Hopkins, RO, Depaulo, JR, Potash, JB, Schweizer, B, Yates, KO, Kurian, E, Barta, PE, Pearlson, GD (2005) Hippocampal and ventricular volumes in psychotic and nonpsychotic bipolar patients compared with schizophrenia patients and community control subjects: a pilot study. Biological Psychiatry 57, 633–639.Google Scholar
Sullivan, PF, Daly, MJ, O'Donovan, M (2012) Genetic architectures of psychiatric disorders: the emerging picture and its implications. Nature Publishing Group. Nature Reviews Genetics 13, 537–551.Google Scholar
Sullivan, PF, Kendler, KS, Neale, MC (2003) Schizophrenia as a complex trait: evidence from a meta-analysis of twin studies. Archives of General Psychiatry 60, 1187.Google Scholar
Thaker, GK (2008) Neurophysiological endophenotypes across bipolar and schizophrenia psychosis. Schizophrenia Bulletin 34, 760–773.Google Scholar
Toomey, R, Faraone, SV, Seidman, LJ, Kremen, WS, Pepple, JR, Tsuang, MT (1998) Association of neuropsychological vulnerability markers in relatives of schizophrenic patients. Schizophrenia Research 31, 89–98.Google Scholar
Toulopoulou, T, Goldberg, TE, Mesa, IR, Picchioni, M, Rijsdijk, F, Stahl, D, Cherny, SS, Sham, P, Faraone, SV, Tsuang, M, Weinberger, DR, Seidman, LJ, Murray, RM (2010) Impaired intellect and memory: a missing link between genetic risk and schizophrenia? American Medical Association. Archives of General Psychiatry 67, 905–913.Google Scholar
Turetsky, BI, Cannon, TD, Gur, RE (2000) P300 subcomponent abnormalities in schizophrenia: III. Deficits in unaffected siblings of schizophrenic probands. Biological Psychiatry 47, 380–390.Google Scholar
Turetsky, BI, Dress, EM, Braff, DL, Calkins, ME, Green, MF, Greenwood, TA, Gur, RE, Gur, RC, Lazzeroni, LC, Nuechterlein, KH, Radant, AD, Seidman, LJ, Siever, LJ, Silverman, JM, Sprock, J, Stone, WS, Sugar, CA, Swerdlow, NR, Tsuang, DW, Tsuang, MT, Light, G (2015) The utility of P300 as a schizophrenia endophenotype and predictive biomarker: clinical and socio-demographic modulators in COGS-2. Elsevier B.V. Schizophrenia Research 163, 53–62.Google Scholar
Üçok, A, Direk, N, Koyuncu, A, Keskin-Ergen, Y, Yüksel, Ç, Güler, J, Karadayi, G, Akturan, E, Devrim-Üçok, M (2013) Cognitive deficits in clinical and familial high risk groups for psychosis are common as in first episode schizophrenia. Schizophrenia Research 151, 265–269.Google Scholar
van Dinteren, R, Arns, M, Jongsma, MLA, Kessels, RPC (2014) P300 development across the lifespan: a systematic review and meta-analysis. Ed. F Di Russo. PLoS ONE 9, e87347.Google Scholar
van Erp, TGM, Hibar, DP, Rasmussen, JM, Glahn, DC, Pearlson, GD, Andreassen, OA, Agartz, I, Westlye, LT, Haukvik, UK, Dale, AM, Melle, I, Hartberg, CB, Gruber, O, Kraemer, B, Zilles, D, Donohoe, G, Kelly, S, McDonald, C, Morris, DW, Cannon, DM, Corvin, A, Machielsen, MWJ, Koenders, L, de Haan, L, Veltman, DJ, Satterthwaite, TD, Wolf, DH, Gur, RC, Gur, RE, Potkin, SG, Mathalon, DH, Mueller, BA, Preda, A, Macciardi, F, Ehrlich, S, Walton, E, Hass, J, Calhoun, VD, Bockholt, HJ, Sponheim, SR, Shoemaker, JM, van Haren, NEM, Pol, HEH, Ophoff, RA, Kahn, RS, Roiz-Santiañez, R, Crespo-Facorro, B, Wang, L, Alpert, KI, Jönsson, EG, Dimitrova, R, Bois, C, Whalley, HC, McIntosh, AM, Lawrie, SM, Hashimoto, R, Thompson, PM, Turner, JA (2016) Subcortical brain volume abnormalities in 2028 individuals with schizophrenia and 2540 healthy controls via the ENIGMA consortium. Nature Publishing Group. Molecular Psychiatry 21, 547–553.Google Scholar
Van Haren, NE, Cahn, W, Hulshoff Pol, HE, Kahn, RS (2013) Confounders of excessive brain volume loss in schizophrenia. Neuroscience and Biobehavioral Reviews 37, 2418–2423.Google Scholar
Walhovd, KB, Fjell, AM (2003) The relationship between P3 and neuropsychological function in an adult life span sample. Biological Psychology 62, 65–87.Google Scholar
Walsh, T, McClellan, JM, McCarthy, SE, Addington, AM, Pierce, SB, Cooper, GM, Nord, AS, Kusenda, M, Malhotra, D, Bhandari, A, Stray, SM, Rippey, CF, Roccanova, P, Makarov, V, Lakshmi, B, Findling, RL, Sikich, L, Stromberg, T, Merriman, B, Gogtay, N, Butler, P, Eckstrand, K, Noory, L, Gochman, P, Long, R, Chen, Z, Davis, S, Baker, C, Eichler, EE, Meltzer, PS, Nelson, SF, Singleton, AB, Lee, MK, Rapoport, JL, King, M-C, Sebat, J (2008) Rare structural variants disrupt multiple genes in neurodevelopmental pathways in schizophrenia. Science 320, 539–543.Google Scholar
Walters, JTR, Corvin, A, Owen, MJ, Williams, H, Dragovic, M, Quinn, EM, Judge, R, Smith, DJ, Norton, N, Giegling, I, Hartmann, AM, Möller, H-J, Muglia, P, Moskvina, V, Dwyer, S, O'Donoghue, T, Morar, B, Cooper, M, Chandler, D, Jablensky, A, Gill, M, Kaladjieva, L, Morris, DW, O'Donovan, MC, Rujescu, D, Donohoe, G, Article, O (2010) Psychosis susceptibility gene ZNF804A and cognitive performance in schizophrenia. Archives of General Psychiatry 67, 692–700.Google Scholar
Waters, F, Price, G, Dragović, M, Jablensky, A (2009) Electrophysiological brain activity and antisaccade performance in schizophrenia patients with first-rank (passivity) symptoms. Psychiatry Research 170, 140–149.Google Scholar
Wechsler, D (1981) Wechsler Adult Intelligence Scale – Revised Manual. Psychological Corporation: New York.Google Scholar
Wechsler, D (1997) Wechsler Adult Intelligence Scale, Third Edition: Administration and Scoring Manual. Psychological Corporation: London.Google Scholar
Weisbrod, M, Hill, H, Niethammer, R, Sauer, H (1999) Genetic influence on auditory information processing in schizophrenia: p300 in monozygotic twins. Biological Psychiatry 46, 721–725.Google Scholar
Wiles, NJ, Zammit, S, Bebbington, P, Singleton, N, Meltzer, H, Lewis, G (2006) Self-reported psychotic symptoms in the general population: results from the longitudinal study of the British national psychiatric morbidity survey. The British Journal of Psychiatry: The Journal of Mental Science 188, 519–526.Google Scholar
Wing, JK, Babor, T, Brugha, T, Burke, J, Cooper, JE, Giel, R, Jablenski, A, Regier, D, Sartorius, N (1990) SCAN. Schedules for clinical assessment in neuropsychiatry. Archives of General Psychiatry 47, 589–593.Google Scholar
Winterer, G, Coppola, R, Sc, D, Goldberg, TE, Ph, D, Egan, MF, Jones, DW, Sanchez, CE, Weinberger, DR, Raedler, T, Sanchez, CE, Jones, DW, Coppola, R, Weinberger, DR (2003) P300 and genetic risk for schizophrenia. American Medical Association. Archives of General Psychiatry 60, 1158–1167.Google Scholar
Wittorf, A, Klingberg, S, Wiedemann, G (2004) Secondary verbal memory: a potential endophenotype of schizophrenia. Journal of Psychiatric Research 38, 601–612.Google Scholar
Wobrock, T, Gruber, O, Schneider-Axmann, T, Wölwer, W, Gaebel, W, Riesbeck, M, Maier, W, Klosterkötter, J, Schneider, F, Buchkremer, G, Möller, H-J, Schmitt, A, Bender, S, Schlösser, R, Falkai, P (2009) Internal capsule size associated with outcome in first-episode schizophrenia. European Archives of Psychiatry and Clinical Neuroscience 259, 278–283.Google Scholar
Wright, IC, Rabe-Hesketh, S, Woodruff, PWR, David, AS, Murray, RM, Bullmore, ET (2000) Meta-analysis of regional brain volumes in schizophrenia. The American Journal of Psychiatry 157, 16–25.Google Scholar
Xu, B, Roos, JL, Levy, S, van Rensburg, EJ, Gogos, JA, Karayiorgou, M (2008) Strong association of de novo copy number mutations with sporadic schizophrenia. Nature Publishing Group. Nature Genetics 40, 880–885.Google Scholar
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