Literature DB >> 16460690

Functional imaging as a predictor of schizophrenia.

Heather C Whalley1, Enrico Simonotto, William Moorhead, Andrew McIntosh, Ian Marshall, Klaus P Ebmeier, David G C Owens, Nigel H Goddard, Eve C Johnstone, Stephen M Lawrie.   

Abstract

BACKGROUND: Prospective studies of young individuals at high risk of schizophrenia allow the investigation of whether neural abnormalities predate development of illness and, if present, have the potential to identify those who may become ill.
METHODS: We studied young individuals with at least two relatives with the disorder. At baseline functional magnetic resonance imaging (fMRI) scan, none met criteria for any psychiatric disorder, but four subjects subsequently developed schizophrenia. We report the baseline functional imaging findings in these subjects performing a sentence completion task compared with normal control subjects (n = 21) and those at high risk with (n = 21) and without (n = 41) psychotic symptoms who have not developed the disorder.
RESULTS: High-risk subjects who became ill demonstrated increased activation of the parietal lobe, decreased activation of the anterior cingulate, and smaller increases in activation with increasing task difficulty in the right lingual gyrus and bilateral temporal regions. The hypothesized predictive power of parietal activation was supported only in combination with lingual gyrus activity, which gave a positive predictive value in this sample of .80.
CONCLUSIONS: Although these findings should be considered cautiously, as only four subjects who had an fMRI scan subsequently became ill, they suggest functional abnormalities are present in high-risk subjects who later became ill, which distinguish them not only from normal control subjects but also those at high risk who had not developed the disorder. These differences are detectable with fMRI and may have clinical utility.

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Year:  2006        PMID: 16460690     DOI: 10.1016/j.biopsych.2005.11.013

Source DB:  PubMed          Journal:  Biol Psychiatry        ISSN: 0006-3223            Impact factor:   13.382


  31 in total

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Review 2.  Statistical approaches to functional neuroimaging data.

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Review 3.  Neuroimaging endophenotypes: strategies for finding genes influencing brain structure and function.

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4.  White matter integrity and prediction of social and role functioning in subjects at ultra-high risk for psychosis.

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Review 5.  Psychosis prediction and clinical utility in familial high-risk studies: selective review, synthesis, and implications for early detection and intervention.

Authors:  Jai L Shah; Neeraj Tandon; Matcheri S Keshavan
Journal:  Early Interv Psychiatry       Date:  2013-05-22       Impact factor: 2.732

Review 6.  Imaging genetic liability to schizophrenia: systematic review of FMRI studies of patients' nonpsychotic relatives.

Authors:  Angus W MacDonald; Heidi W Thermenos; Deanna M Barch; Larry J Seidman
Journal:  Schizophr Bull       Date:  2008-06-12       Impact factor: 9.306

7.  Altered cognitive development in the siblings of individuals with schizophrenia.

Authors:  Deanna M Barch; Rachel Cohen; John Csernansky
Journal:  Clin Psychol Sci       Date:  2014-03-01

8.  Model-based parametric study of frontostriatal abnormalities in schizophrenia patients.

Authors:  Shoji Tanaka
Journal:  BMC Psychiatry       Date:  2010-02-27       Impact factor: 3.630

9.  Predicting first episode psychosis in those at high risk for genetic or cognitive reasons.

Authors:  Stephen M Lawrie; Andrew Stanfield; Eve C Johnstone; Andrew M McIntosh
Journal:  Epidemiol Psychiatr Sci       Date:  2012-09-12       Impact factor: 6.892

10.  DISC1 is associated with prefrontal cortical gray matter and positive symptoms in schizophrenia.

Authors:  Philip R Szeszko; Colin A Hodgkinson; Delbert G Robinson; Pamela Derosse; Robert M Bilder; Todd Lencz; Katherine E Burdick; Barbara Napolitano; Julia D Betensky; John M Kane; David Goldman; Anil K Malhotra
Journal:  Biol Psychol       Date:  2007-11-01       Impact factor: 3.251

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