Literature DB >> 22967956

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

Stephen M Lawrie, Andrew Stanfield, Eve C Johnstone, Andrew M McIntosh.   

Abstract

Structural and functional magnetic resonance imaging (MRI) of patients with psychosis has advanced to the point where there are clear abnormalities at a group level between patients and groups of healthy controls, and suggestions of different patterns of abnormalities between groups of patients. A major area of research endeavour is being able to translate these group differences into clinically relevant predictions at an individual patient level. Here, we briefly summarize our main findings in cohorts at high risk of psychosis because they come from families in which several members have schizophrenia or bipolar disorder, or have educational impairments. We highlight consistent predictors of psychosis in those at high risk of schizophrenia for genetic or cognitive reasons, as compared with quite distinct profiles between those at genetic high risk of schizophrenia v. bipolar disorder on functional MRI during an executive language task. We also consider future research directions and ethical issues in the early diagnostic testing of people at high risk of psychosis.

Entities:  

Mesh:

Year:  2012        PMID: 22967956      PMCID: PMC6998226          DOI: 10.1017/S2045796012000509

Source DB:  PubMed          Journal:  Epidemiol Psychiatr Sci        ISSN: 2045-7960            Impact factor:   6.892


  26 in total

Review 1.  Neuroanatomy of vulnerability to psychosis: a voxel-based meta-analysis.

Authors:  P Fusar-Poli; S Borgwardt; A Crescini; G Deste; Matthew J Kempton; S Lawrie; P Mc Guire; E Sacchetti
Journal:  Neurosci Biobehav Rev       Date:  2010-12-17       Impact factor: 8.989

2.  Automated computation of the Gyrification Index in prefrontal lobes: methods and comparison with manual implementation.

Authors:  T William J Moorhead; Jonathan M Harris; Andrew C Stanfield; Dominic E Job; Jonathan J K Best; Eve C Johnstone; Stephen M Lawrie
Journal:  Neuroimage       Date:  2006-04-05       Impact factor: 6.556

3.  Functional imaging as a predictor of schizophrenia.

Authors:  Heather C Whalley; Enrico Simonotto; William Moorhead; Andrew McIntosh; Ian Marshall; Klaus P Ebmeier; David G C Owens; Nigel H Goddard; Eve C Johnstone; Stephen M Lawrie
Journal:  Biol Psychiatry       Date:  2006-02-07       Impact factor: 13.382

Review 4.  Neuroimaging predictors of transition to psychosis--a systematic review and meta-analysis.

Authors:  R Smieskova; P Fusar-Poli; P Allen; K Bendfeldt; R D Stieglitz; J Drewe; E W Radue; P K McGuire; A Riecher-Rössler; S J Borgwardt
Journal:  Neurosci Biobehav Rev       Date:  2010-02-06       Impact factor: 8.989

5.  Longitudinal volume reductions in people at high genetic risk of schizophrenia as they develop psychosis.

Authors:  Andrew M McIntosh; David C Owens; William J Moorhead; Heather C Whalley; Andrew C Stanfield; Jeremy Hall; Eve C Johnstone; Stephen M Lawrie
Journal:  Biol Psychiatry       Date:  2010-12-17       Impact factor: 13.382

6.  Neuropsychological performance over time in people at high risk of developing schizophrenia and controls.

Authors:  Marie-Claire Whyte; Caroline Brett; Lesley K Harrison; Majella Byrne; Patrick Miller; Stephen M Lawrie; Eve C Johnstone
Journal:  Biol Psychiatry       Date:  2006-01-04       Impact factor: 13.382

7.  Hypofrontality in subjects at high genetic risk of schizophrenia with depressive symptoms.

Authors:  H C Whalley; L Mowatt; A C Stanfield; J Hall; E C Johnstone; S M Lawrie; A M McIntosh
Journal:  J Affect Disord       Date:  2008-03-04       Impact factor: 4.839

Review 8.  Magnetic resonance imaging studies in bipolar disorder and schizophrenia: meta-analysis.

Authors:  Danilo Arnone; J Cavanagh; D Gerber; S M Lawrie; K P Ebmeier; A M McIntosh
Journal:  Br J Psychiatry       Date:  2009-09       Impact factor: 9.319

9.  Schizotypal cognitions as a predictor of psychopathology in adolescents with mild intellectual impairment.

Authors:  Eve C Johnstone; David G C Owens; Peter Hoare; Sonia Gaur; Michael D Spencer; Jonathan Harris; Andre W Stanfield; Vivien Moffat; Norma Brearley; Patrick Miller; Stephen M Lawrie; Walter J Muir
Journal:  Br J Psychiatry       Date:  2007-12       Impact factor: 9.319

10.  Grey matter changes can improve the prediction of schizophrenia in subjects at high risk.

Authors:  Dominic E Job; Heather C Whalley; Andrew M McIntosh; David G C Owens; Eve C Johnstone; Stephen M Lawrie
Journal:  BMC Med       Date:  2006-12-07       Impact factor: 8.775

View more
  3 in total

1.  'Young people at high risk for psychosis: conceptual framework, research evidence and treatment opportunities'.

Authors:  Antonio Lasalvia; Michele Tansella
Journal:  Epidemiol Psychiatr Sci       Date:  2012-09-11       Impact factor: 6.892

2.  Predicting major mental illness: ethical and practical considerations.

Authors:  Stephen M Lawrie; Sue Fletcher-Watson; Heather C Whalley; Andrew M McIntosh
Journal:  BJPsych Open       Date:  2019-03

3.  The benefit of foresight? An ethical evaluation of predictive testing for psychosis in clinical practice.

Authors:  Natalie M Lane; Stuart A Hunter; Stephen M Lawrie
Journal:  Neuroimage Clin       Date:  2020-02-25       Impact factor: 4.881

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.