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Extracting spurious messages from noise and risk of schizophrenia-spectrum disorders in a prodromal population

Published online by Cambridge University Press:  02 January 2018

Ralph E. Hoffman*
Affiliation:
Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
Scott W. Woods
Affiliation:
Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
Keith A. Hawkins
Affiliation:
Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
Brian Pittman
Affiliation:
Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
Mauricio Tohen
Affiliation:
Lilly Research Laboratories, Indianapolis, Indiana
Adrian Preda
Affiliation:
Department of Psychiatry, University of California at Irvine, California
Alan Breier
Affiliation:
Lilly Research Laboratories, Indianapolis, Indiana
Jill Glist
Affiliation:
Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, USA
Jean Addington
Affiliation:
Department of Psychiatry, University of Calgary, Alberta, Canada
Diana O. Perkins
Affiliation:
Department of Psychiatry, University of North Carolina, Chapel Hill, North Carolina
Thomas H. McGlashan
Affiliation:
Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, USA
*
Dr Ralph Hoffman, Yale – New Haven Psychiatric Hospital, 184 Liberty Street LV 108, New Haven, CT 06519, USA. Tel: +1 (203) 688 9734; fax: +1 (203) 688-9709; email: ralph.hoffman@yale.edu
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Summary

A tendency to extract spurious, message-like meaning from meaningless noise was assessed as a risk factor leading to shizophrenia-spectrum disorders by assessing word length of speech illusions elicited by multispeaker babble in 43 people with prodromal symptoms. These individuals were randomised to olanzapine v. placebo groups during year 1 followed by no pharmacological treatment for those with no disorder conversion during year 2. A time-dependent Cox regression analysis of conversion to schizophrenia-spectrum disorder revealed a significant interaction between condition (olanzapine v. no drug) and length of speech illusion, with the latter strongly predicting subsequent conversion during medication-free intervals but not during olanzapine treatment.

Information

Type
Short Reports
Copyright
Copyright © Royal College of Psychiatrists, 2007 
Figure 0

Fig. 1Maximum length of speech illusion (LSI) during ‘no drug’ intervals (placebo in year 1 or no pharmacological treatment in year 2) grouped according to those whose condition converted to a schizophrenia-spectrum disorder during these intervals and those who did not. The dashed line shows the optimum cut-off point for predicting conversion.

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