Hostname: page-component-cd9895bd7-hc48f Total loading time: 0 Render date: 2024-12-22T23:16:54.451Z Has data issue: false hasContentIssue false

Neurocognitive profiles in help-seeking individuals: comparison of risk for psychosis and bipolar disorder criteria

Published online by Cambridge University Press:  17 June 2014

S. Metzler*
Affiliation:
The Zurich Program for Sustainable Development of Mental Health Services (ZInEP), University Hospital of Psychiatry Zurich, Switzerland
D. Dvorsky
Affiliation:
The Zurich Program for Sustainable Development of Mental Health Services (ZInEP), University Hospital of Psychiatry Zurich, Switzerland Department of Psychiatry, Psychotherapy and Psychosomatics, University Hospital of Psychiatry Zurich, Switzerland
C. Wyss
Affiliation:
The Zurich Program for Sustainable Development of Mental Health Services (ZInEP), University Hospital of Psychiatry Zurich, Switzerland
M. Müller
Affiliation:
The Zurich Program for Sustainable Development of Mental Health Services (ZInEP), University Hospital of Psychiatry Zurich, Switzerland Department of Psychiatry, Psychotherapy and Psychosomatics, University Hospital of Psychiatry Zurich, Switzerland
N. Traber-Walker
Affiliation:
The Zurich Program for Sustainable Development of Mental Health Services (ZInEP), University Hospital of Psychiatry Zurich, Switzerland Department of Child and Adolescent Psychiatry, University of Zurich, Switzerland
S. Walitza
Affiliation:
Department of Child and Adolescent Psychiatry, University of Zurich, Switzerland
A. Theodoridou
Affiliation:
The Zurich Program for Sustainable Development of Mental Health Services (ZInEP), University Hospital of Psychiatry Zurich, Switzerland Department of Psychiatry, Psychotherapy and Psychosomatics, University Hospital of Psychiatry Zurich, Switzerland
W. Rössler
Affiliation:
The Zurich Program for Sustainable Development of Mental Health Services (ZInEP), University Hospital of Psychiatry Zurich, Switzerland Collegium Helveticum, a Joint Research Institute between the University of Zurich and the Swiss Federal Institute of Technology Zurich, Switzerland Institute of Psychiatry, Laboratory of Neuroscience (LIM 27), University of Sao Paulo, Sao Paulo, Brazil
K. Heekeren
Affiliation:
The Zurich Program for Sustainable Development of Mental Health Services (ZInEP), University Hospital of Psychiatry Zurich, Switzerland Department of Psychiatry, Psychotherapy and Psychosomatics, University Hospital of Psychiatry Zurich, Switzerland
*
*Address for correspondence: S. Metzler, Ph.D., The Zurich Program for Sustainable Development of Mental Health Services (ZInEP), University Hospital of Psychiatry Zurich, Militärstrasse 8, Postfach 1930, Zurich 8021, Switzerland. (Email: [email protected])

Abstract

Background.

Neurocognitive deficits are important aspects of the schizophrenic disorders because they have a strong impact on social and vocational outcomes. We expanded on previous research by focusing on the neurocognitive profiles of persons at high risk (HR) or ultra-high risk (UHR) for schizophrenic and affective psychoses. Our main aim was to determine whether neurocognitive measures are sufficiently sensitive to predict a group affiliation based on deficits in functional domains.

Method.

This study included 207 help-seeking individuals identified as HR (n = 75), UHR (n = 102) or at high risk for bipolar disorder (HRBip; n = 30), who were compared with persons comprising a matched, healthy control group (CG; n = 50). Neuropsychological variables were sorted according to their load in a factor analysis and were compared among groups. In addition, the likelihood of group membership was estimated using logistic regression analyses.

Results.

The performance of HR and HRBip participants was comparable, and intermediate between the controls and UHR. The domain of processing speed was most sensitive in discriminating HR and UHR [odds ratio (OR) 0.48, 95% confidence interval (CI) 0.28–0.78, p = 0.004] whereas learning and memory deficits predicted a conversion to schizophrenic psychosis (OR 0.47, 95% CI 0.25–0.87, p = 0.01).

Conclusions.

Performances on neurocognitive tests differed among our three at-risk groups and may therefore be useful in predicting psychosis. Overall, cognition had a profound effect on the extent of general functioning and satisfaction with life for subjects at risk of psychosis. Thus, this factor should become a treatment target in itself.

Type
Original Articles
Copyright
Copyright © Cambridge University Press 2014 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Addington, J, Heinssen, R (2012). Prediction and prevention of psychosis in youth at clinical high risk. Annual Review of Clinical Psychology 8, 269289.CrossRefGoogle ScholarPubMed
Andreasen, NC, Pressler, M, Nopoulos, P, Miller, D, Ho, BC (2010). Antipsychotic dose equivalents and dose-years: a standardized method for comparing exposure to different drugs. Biological Psychiatry 67, 255262.CrossRefGoogle ScholarPubMed
Angst, J, Adolfsson, R, Benazzi, F, Gamma, A, Hantouche, E, Meyer, TD, Skeppar, P, Vieta, E, Scott, J (2005). The HCL-32: towards a self-assessment tool for hypomanic symptoms in outpatients. Journal of Affective Disorders 88, 217233.CrossRefGoogle ScholarPubMed
Aschenbrenner, A, Tucha, O, Lange, K (2000). Regensburg Word Fluency Test (RWT) [in German] . Hogrefe: Göttingen.Google Scholar
Aster, M, Neubauer, A, Horn, R (2006). German Test Version of Wechsler Adult Intelligence Scale [Wechsler Intelligenztest für Erwachsene (WIE): Deutschsprachige Bearbeitung und Adaptation des WAIS-III von David Wechsler] . Harcourt Test Services: Frankfurt am Main.Google Scholar
Bechdolf, A, Ratheesh, A, Wood, SJ, Tecic, T, Conus, P, Nelson, B, Cotton, SM, Chanen, AM, Amminger, GP, Ruhrmann, S, Schultze-Lutter, F, Klosterkotter, J, Fusar-Poli, P, Yung, AR, Berk, M, McGorry, PD (2012). Rationale and first results of developing at-risk (prodromal) criteria for bipolar disorder. Current Pharmaceutical Design 18, 358375.CrossRefGoogle ScholarPubMed
Beck, LH, Bransome, ED Jr., Mirsky, AF, Rosvold, HE, Sarason, I (1956). A continuous performance test of brain damage. Journal of Consulting and Clinical Psychology 20, 343350.Google ScholarPubMed
Bora, E, Murray, RM (2013). 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. Published online: 14 June 2013 . doi: 10.1093/schbul/sbt085.Google ScholarPubMed
Brewer, WJ, Francey, SM, Wood, SJ, Jackson, HJ, Pantelis, C, Phillips, LJ, Yung, AR, Anderson, VA, McGorry, PD (2005). Memory impairments identified in people at ultra-high risk for psychosis who later develop first-episode psychosis. American Journal of Psychiatry 162, 7178.CrossRefGoogle ScholarPubMed
Brewer, WJ, Wood, SJ, Phillips, LJ, Francey, SM, Pantelis, C, Yung, AR, Cornblatt, B, McGorry, PD (2006). Generalized and specific cognitive performance in clinical high-risk cohorts: a review highlighting potential vulnerability markers for psychosis. Schizophrenia Bulletin 32, 538555.CrossRefGoogle ScholarPubMed
Cannon, M, Moffitt, TE, Caspi, A, Murray, RM, Harrington, H, Poulton, R (2006). Neuropsychological performance at the age of 13 years and adult schizophreniform disorder: prospective birth cohort study. British Journal of Psychiatry 189, 463464.CrossRefGoogle ScholarPubMed
Cannon, TD, Cadenhead, K, Cornblatt, B, Woods, SW, Addington, J, Walker, E, Seidman, LJ, Perkins, D, Tsuang, M, McGlashan, T, Heinssen, R (2008). Prediction of psychosis in youth at high clinical risk: a multisite longitudinal study in North America. Archives of General Psychiatry 65, 2837.CrossRefGoogle ScholarPubMed
Cornblatt, BA, Lencz, T, Smith, CW, Correll, CU, Auther, AM, Nakayama, E (2003). The schizophrenia prodrome revisited: a neurodevelopmental perspective. Schizophrenia Bulletin 29, 633651.CrossRefGoogle ScholarPubMed
De Herdt, A, Wampers, M, Vancampfort, D, De Hert, M, Vanhees, L, Demunter, H, Van Bouwel, L, Brunner, E, Probst, M (2013). Neurocognition in clinical high risk young adults who did or did not convert to a first schizophrenic psychosis: a meta-analysis. Schizophrenia Research 149, 4855.CrossRefGoogle Scholar
Dragt, S, Nieman, DH, Veltman, D, Becker, HE, van de Fliert, R, de Haan, L, Linszen, DH (2011). Environmental factors and social adjustment as predictors of a first psychosis in subjects at ultra high risk. Schizophrenia Research 125, 6976.CrossRefGoogle ScholarPubMed
Drühe-Wienholt, C, Wienholt, W (2004). Computer-administered modified Version of Wisconsin Card Sorting Test, German Test Version [Computergestütztes Kartensortierverfahren: Modifizierte Version des Wisconsin Kartensortiertests] . Harcourt Test Services: Frankfurt am Main.Google Scholar
Dunn, LM, Dunn, L (2003). Peabody Picture Vocabulary Test: German Language Version for Adolescents and Adults [in German] . Swets Test Services: Frankfurt am Main.Google Scholar
Eastvold, AD, Heaton, RK, Cadenhead, KS (2007). Neurocognitive deficits in the (putative) prodrome and first episode of psychosis. Schizophrenia Research 93, 266277.CrossRefGoogle ScholarPubMed
Endicott, J, Spitzer, RL, Fleiss, JL, Cohen, J (1976). The global assessment scale. A procedure for measuring overall severity of psychiatric disturbance. Archives of General Psychiatry 33, 766771.CrossRefGoogle Scholar
Falkai, P, Reich-Erkelenz, D, Malchow, B, Schmitt, A, Majtenyi, K (2013). Brain development before onset of the first psychotic episode and during outcome of schizophrenia [in German]. Fortschritte der Neurologie-Psychiatrie 81, 260264.Google ScholarPubMed
Frommann, I, Pukrop, R, Brinkmeyer, J, Bechdolf, A, Ruhrmann, S, Berning, J, Decker, P, Riedel, M, Möller, HJ, Wölwer, W, Gaebel, W, Klosterkötter, J, Maier, W, Wagner, M (2011). Neuropsychological profiles in different at-risk states of psychosis: executive control impairment in the early – and additional memory dysfunction in the late – prodromal state. Schizophrenia Bulletin 37, 861873.CrossRefGoogle ScholarPubMed
Fusar-Poli, P, Bonoldi, I, Yung, AR, Borgwardt, S, Kempton, MJ, Valmaggia, L, Barale, F, Caverzasi, E, McGuire, P (2012 a). Predicting psychosis: meta-analysis of transition outcomes in individuals at high clinical risk. Archives of General Psychiatry 69, 220229.CrossRefGoogle ScholarPubMed
Fusar-Poli, P, Borgwardt, S, Bechdolf, A, Addington, J, Riecher-Rossler, A, Schultze-Lutter, F, Keshavan, M, Wood, S, Ruhrmann, S, Seidman, LJ, Valmaggia, L, Cannon, T, Velthorst, E, De Haan, L, Cornblatt, B, Bonoldi, I, Birchwood, M, McGlashan, T, Carpenter, W, McGorry, P, Klosterkötter, J, McGuire, P, Yung, A (2013). The psychosis high-risk state: a comprehensive state-of-the-art review. Journal of the American Medical Association. Psychiatry 70, 107120.Google Scholar
Fusar-Poli, P, Borgwardt, S, Crescini, A, Deste, G, Kempton, MJ, Lawrie, S, Mc Guire, P, Sacchetti, E (2011). Neuroanatomy of vulnerability to psychosis: a voxel-based meta-analysis. Neuroscience and Biobehavioral Reviews 35, 11751185.CrossRefGoogle ScholarPubMed
Fusar-Poli, P, Byrne, M, Valmaggia, L, Day, F, Tabraham, P, Johns, L, McGuire, P; OASIS Team (2010). Social dysfunction predicts two years clinical outcome in people at ultra high risk for psychosis. Journal of Psychiatric Research 44, 294301.CrossRefGoogle ScholarPubMed
Fusar-Poli, P, Deste, G, Smieskova, R, Barlati, S, Yung, AR, Howes, O, Stieglitz, RD, Vita, A, McGuire, P, Borgwardt, S (2012 b). Cognitive functioning in prodromal psychosis: a meta-analysis. Archives of General Psychiatry 69, 562571.CrossRefGoogle ScholarPubMed
Fusar-Poli, P, Yung, AR, McGorry, P, van Os, J (2014). Lessons learned from the psychosis high-risk state: towards a general staging model of prodromal intervention. Psychological Medicine 44, 1724.CrossRefGoogle ScholarPubMed
Gediga, G, Schöttke, H (2006). The Towers of Hanoi or computer-simulated problem solving [Die Türme von Hanoi oder computersimulierte Problemlöseszenarien]. In Thinking and Problem Solving [Denken und Problemlösen] (ed. Funke, J.), pp. 500505. Hogrefe: Göttingen.Google Scholar
Giuliano, AJ, Li, H, Mesholam-Gately, RI, Sorenson, SM, Woodberry, KA, Seidman, LJ (2012). Neurocognition in the psychosis risk syndrome: a quantitative and qualitative review. Current Pharmaceutical Design 18, 399415.CrossRefGoogle ScholarPubMed
Green, MF, Kern, RS, Braff, DL, Mintz, J (2000). Neurocognitive deficits and functional outcome in schizophrenia: are we measuring the ‘right stuff’? Schizophrenia Bulletin 26, 119136.CrossRefGoogle ScholarPubMed
Green, MF, Nuechterlein, KH (2004). The MATRICS initiative: developing a consensus cognitive battery for clinical trials. Schizophrenia Research 72, 13.CrossRefGoogle ScholarPubMed
Gschwandtner, U, Pfluger, M, Aston, J, Borgwardt, S, Drewe, M, Stieglitz, RD, Riecher-Rössler, A (2006). Fine motor function and neuropsychological deficits in individuals at risk for schizophrenia. European Archives of Psychiatry and Clinical Neuroscience 256, 201206.CrossRefGoogle ScholarPubMed
Hambrecht, M, Lammertink, M, Klosterkotter, J, Matuschek, E, Pukrop, R (2002). Subjective and objective neuropsychological abnormalities in a psychosis prodrome clinic. British Journal of Psychiatry 43, 3037.CrossRefGoogle Scholar
Hawkins, KA, Addington, J, Keefe, RS, Christensen, B, Perkins, DO, Zipurksy, R, Perkins, DO, Tohen, M, Breier, A, McGlashan, TH (2004). Neuropsychological status of subjects at high risk for a first episode of psychosis. Schizophrenia Research 67, 115122.CrossRefGoogle ScholarPubMed
Helmstaedter, C, Lendt, M, Lux, S (2001). Rey Auditory Verbal Learning Test (German Test Version) [Verbaler Lern- und Merkfähigkeitstest (VLMT)] . Hogrefe: Göttingen.Google Scholar
Huber, G (1966). Pure deficiency syndromes and basic stages of endogenous psychoses [in German]. Fortschritte der Neurologie-Psychiatrie 34, 409426.Google Scholar
Hurlemann, R, Jessen, F, Wagner, M, Frommann, I, Ruhrmann, S, Brockhaus, A, Picker, H, Scheef, L, Block, W, Schild, HH, Moller-Hartmann, W, Krug, B, Falkai, P, Klosterkotter, J, Maier, W (2008). Interrelated neuropsychological and anatomical evidence of hippocampal pathology in the at-risk mental state. Psychological Medicine 38, 843851.CrossRefGoogle ScholarPubMed
Kay, SR, Fiszbein, A, Opler, LA (1987). The positive and negative syndrome scale (PANSS) for schizophrenia. Schizophrenia Bulletin 13, 261276.CrossRefGoogle ScholarPubMed
Keefe, RS, Perkins, DO, Gu, H, Zipursky, RB, Christensen, BK, Lieberman, JA (2006). A longitudinal study of neurocognitive function in individuals at-risk for psychosis. Schizophrenia Research 88, 2635.CrossRefGoogle ScholarPubMed
Kelleher, I, Murtagh, A, Clarke, MC, Murphy, J, Rawdon, C, Cannon, M (2013). Neurocognitive performance of a community-based sample of young people at putative ultra high risk for psychosis: support for the processing speed hypothesis. Cognitive Neuropsychiatry 18, 925.CrossRefGoogle ScholarPubMed
Keshavan, MS, DeLisi, LE, Seidman, LJ (2011). Early and broadly defined psychosis risk mental states. Schizophrenia Research 126, 110.CrossRefGoogle ScholarPubMed
Klosterkotter, J, Hellmich, M, Steinmeyer, EM, Schultze-Lutter, F (2001). Diagnosing schizophrenia in the initial prodromal phase. Archives of General Psychiatry 58, 158164.CrossRefGoogle ScholarPubMed
Klosterkotter, J, Schultze-Lutter, F, Bechdolf, A, Ruhrmann, S (2011). Prediction and prevention of schizophrenia: what has been achieved and where to go next? World Psychiatry 10, 165174.CrossRefGoogle ScholarPubMed
Koutsouleris, N, Davatzikos, C, Bottlender, R, Patschurek-Kliche, K, Scheuerecker, J, Decker, P, Gaser, C, Möller, HJ, Meisenzahl, EM (2011). Early recognition and disease prediction in the at-risk mental states for psychosis using neurocognitive pattern classification. Schizophrenia Bulletin 38, 12001215.CrossRefGoogle ScholarPubMed
Lehrl, S (1989). Multiple Choice Vocabulary Intelligence Test (Mehrfachwahl-Wortschatz-Intelligenztest; MWT-B) [in German] . Perimed: Erlangen.Google Scholar
Lencz, T, Smith, CW, McLaughlin, D, Auther, A, Nakayama, E, Hovey, L, Cornblatt, B (2006). Generalized and specific neurocognitive deficits in prodromal schizophrenia. Biological Psychiatry 59, 863871.CrossRefGoogle ScholarPubMed
Mechelli, A, Riecher-Rossler, A, Meisenzahl, EM, Tognin, S, Wood, SJ, Borgwardt, SJ, Koutsouleris, N, Yung, AR, Stone, JM, Phillips, LJ, McGorry, PD, Valli, I, Velakoulis, D, Woolley, J, Pantelis, C, McGuire, P (2011). Neuroanatomical abnormalities that predate the onset of psychosis: a multicenter study. Archives of General Psychiatry 68, 489495.CrossRefGoogle ScholarPubMed
Miller, TJ, McGlashan, TH, Rosen, JL, Cadenhead, K, Cannon, T, Ventura, J, McFarlane, W, Perkins, DO, Pearlson, GD, Woods, SW (2003). Prodromal assessment with the structured interview for prodromal syndromes and the scale of prodromal symptoms: predictive validity, interrater reliability, and training to reliability. Schizophrenia Bulletin 29, 703715.CrossRefGoogle ScholarPubMed
Müller, M, Vetter, S, Weiser, M, Frey, F, Ajdacic-Gross, V, Stieglitz, RD, Rössler, W (2013). Precursors of cognitive impairments in psychotic disorders: a population-based study. Psychiatry Research 30, 329337.CrossRefGoogle Scholar
Niendam, TA, Bearden, CE, Johnson, JK, McKinley, M, Loewy, R, O'Brien, M, Nuechterlein, KH, Green, MF, Cannon, TD (2006). Neurocognitive performance and functional disability in the psychosis prodrome. Schizophrenia Research 84, 100111.CrossRefGoogle ScholarPubMed
Olvet, DM, Burdick, KE, Cornblatt, BA (2013). Assessing the potential to use neurocognition to predict who is at risk for developing bipolar disorder: a review of the literature. Cognitive Neuropsychiatry 18, 129145.CrossRefGoogle ScholarPubMed
Pflueger, MO, Gschwandtner, U, Stieglitz, RD, Riecher-Rossler, A (2007). Neuropsychological deficits in individuals with an at risk mental state for psychosis – working memory as a potential trait marker. Schizophrenia Research 97, 1424.CrossRefGoogle Scholar
Priebe, S, Huxley, P, Knight, S, Evans, S (1999). Application and results of the Manchester Short Assessment of Quality of Life (MANSA). International Journal of Social Psychiatry 45, 712.CrossRefGoogle ScholarPubMed
Pukrop, R, Klosterkotter, J (2010). Neurocognitive indicators of clinical high-risk states for psychosis: a critical review of the evidence. Neurotoxicity Research 18, 272286.CrossRefGoogle ScholarPubMed
Pukrop, R, Schultze-Lutter, F, Ruhrmann, S, Brockhaus-Dumke, A, Tendolkar, I, Bechdolf, A (2006). Neurocognitive functioning in subjects at risk for a first episode of psychosis compared with first- and multiple-episode schizophrenia. Journal of Clinical and Experimental Neuropsychology 28, 13881407.CrossRefGoogle ScholarPubMed
Ratheesh, A, Lin, A, Nelson, B, Wood, SJ, Brewer, W, Betts, J, Berk, M, McGorry, P, Yung, AR, Bechdolf, A (2013). Neurocognitive functioning in the prodrome of mania – an exploratory study. Journal of Affective Disorders 147, 441445.CrossRefGoogle ScholarPubMed
Reitan, RM, Wolfson, D (1985). The Halstead–Reitan Neuropsychological Test Battery: Therapy and Clinical Interpretation. Neuropsychological Press: Tucson.Google Scholar
Riecher-Rössler, A, Aston, J, Borgwardt, S, Bugra, H, Fuhr, P, Gschwandtner, U, Koutsouleris, N, Pflueger, M, Tamagni, C, Radü, EW, Rapp, C, Smieskova, R, Studerus, E, Walter, A, Zimmermann, R (2013). Prediction of psychosis by stepwise multilevel assessment – the Basel FePsy (Early Recognition of Psychosis) – project [in German]. Fortschritte der Neurologie-Psychiatrie 81, 265275.Google ScholarPubMed
Riecher-Rössler, A, Pflueger, MO, Aston, J, Borgwardt, SJ, Brewer, WJ, Gschwandtner, U, Stieglitz, RD (2009). Efficacy of using cognitive status in predicting psychosis: a 7-year follow-up. Biological Psychiatry 66, 10231030.CrossRefGoogle Scholar
Ruhrmann, S, Schultze-Lutter, F, Klosterkotter, J (2010). Probably at-risk, but certainly ill: advocating the introduction of a psychosis spectrum disorder in DSM-V. Schizophrenia Research 120, 2337.CrossRefGoogle ScholarPubMed
Schimmelmann, B, Walger, P, Schultze-Lutter, F (2013). The significance of at-risk symptoms for psychosis in children and adolescents. Canadian Journal of Psychiatry 1, 3240.CrossRefGoogle Scholar
Schultze-Lutter, F, Addington, J, Ruhrmann, S, Klosterkotter, J (2007). Schizophrenia Proneness Instrument, Adult Version (SPI-A). Giovanni Fioriti Editore: Rome.Google Scholar
Schultze-Lutter, F, Koch, E (2009). Schizophrenia Proneness Instrument, Child and Youth Version (SPI-CY). Giovanni Fioriti Editore: Rome.Google Scholar
Schultze-Lutter, F, Ruhrmann, S, Berning, J, Maier, W, Klosterkotter, J (2010). Basic symptoms and ultrahigh risk criteria: symptom development in the initial prodromal state. Schizophrenia Bulletin 36, 182191.CrossRefGoogle ScholarPubMed
Schultze-Lutter, F, Schimmelmann, BG, Ruhrmann, S (2011). The near Babylonian speech confusion in early detection of psychosis. Schizophrenia Bulletin 37, 653655.CrossRefGoogle Scholar
Schutte, N, Malouff, J (1995). Sourcebook of Adult Assessment Strategies. Plenum Press: New York.CrossRefGoogle Scholar
Seidman, LJ, Giuliano, AJ, Meyer, EC, Addington, J, Cadenhead, KS, Cannon, TD (2010). Neuropsychology of the prodrome to psychosis in the NAPLS consortium: relationship to family history and conversion to psychosis. Archives of General Psychiatry 67, 578588.CrossRefGoogle ScholarPubMed
Sheehan, DV, Lecrubier, Y, Sheehan, KH, Amorim, P, Janavs, J, Weiller, E, Hergueta, T, Baker, R, Dunbar, GC (1998). The Mini-International Neuropsychiatric Interview (M.I.N.I.): the development and validation of a structured diagnostic psychiatric interview for DSM-IV and ICD-10. Journal of Clinical Psychiatry 59, 2233.Google ScholarPubMed
Simon, AE, Cattapan-Ludewig, K, Zmilacher, S, Arbach, D, Gruber, K, Dvorsky, DN, Roth, B, Isler, E, Zimmer, A, Umbricht, D (2007). Cognitive functioning in the schizophrenia prodrome. Schizophrenia Bulletin 33, 761771.CrossRefGoogle ScholarPubMed
Smieskova, R, Marmy, J, Schmidt, A, Bendfeldt, K, Riecher-Rossler, A, Walter, M, Lang, UE, Borgwardt, S (2013). Do subjects at clinical high risk for psychosis differ from those with a genetic high risk? A systematic review of structural and functional brain abnormalities. Current Medicinal Chemistry 20, 467481.Google Scholar
Spreen, O, Strauss, E (1991). A Compendium of Neuropsychological Tests: Administration, Norms and Commentary. Oxford University Press: New York.Google Scholar
Thompson, KN, Conus, PO, Ward, JL, Phillips, LJ, Koutsogiannis, J, Leicester, S, McGorry, PD (2003). The initial prodrome to bipolar affective disorder: prospective case studies. Journal of Affective Disorders 77, 7985.CrossRefGoogle ScholarPubMed
Velthorst, E, Nieman, DH, Linszen, D, Becker, H, de Haan, L, Dingemans, PM, Birchwood, M, Patterson, P, Salokangas, RK, Heinimaa, M, Heinz, A, Juckel, G, von Reventlow, HG, French, P, Stevens, H, Schultze-Lutter, F, Klosterkotter, J, Ruhrmann, S (2010). Disability in people clinically at high risk of psychosis. British Journal of Psychiatry 197, 278284.CrossRefGoogle ScholarPubMed
Yung, AR, McGorry, PD (1996). The prodromal phase of first-episode psychosis: past and current conceptualizations. Schizophrenia Bulletin 22, 353370.CrossRefGoogle ScholarPubMed
Yung, AR, Nelson, B (2013). The ultra-high risk concept – a review. Canadian Journal of Psychiatry 58, 512.CrossRefGoogle ScholarPubMed
Yung, AR, Nelson, B, Stanford, C, Simmons, MB, Cosgrave, EM, Killackey, E, Phillips, LJ, Bechdolf, A, Buckby, J, McGorry, PD (2008). Validation of ‘prodromal’ criteria to detect individuals at ultra high risk of psychosis: 2 year follow-up. Schizophrenia Research 105, 1017.CrossRefGoogle Scholar
Yung, AR, Nelson, B, Thompson, AD, Wood, SJ (2010). Should a ‘Risk Syndrome for Psychosis’ be included in the DSMV? Schizophrenia Research 120, 715.CrossRefGoogle ScholarPubMed
Yung, AR, Phillips, LJ, Yuen, HP, Francey, SM, McFarlane, CA, Hallgren, M, McGorry, PD (2003). Psychosis prediction: 12-month follow up of a high-risk (‘prodromal’) group. Schizophrenia Research 60, 2132.CrossRefGoogle ScholarPubMed
Zipursky, RB, Reilly, TJ, Murray, RM (2013). The myth of schizophrenia as a progressive brain disease. Schizophrenia Bulletin 39, 13631372.CrossRefGoogle ScholarPubMed
Supplementary material: File

Metzler Supplementary Material

Table S1

Download Metzler Supplementary Material(File)
File 46.6 KB