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Grey matter changes can improve the prediction of schizophrenia in subjects at high risk
BACKGROUND: We hypothesised that subjects at familial high risk of developing schizophrenia would have a reduction over time in grey matter, particularly in the temporal lobes, and that this reduction may predict schizophrenia better than clinical measurements. METHODS: We analysed magnetic resonanc...
Autores principales: | , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2006
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1698489/ https://www.ncbi.nlm.nih.gov/pubmed/17156415 http://dx.doi.org/10.1186/1741-7015-4-29 |
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author | Job, Dominic E Whalley, Heather C McIntosh, Andrew M Owens, David GC Johnstone, Eve C Lawrie, Stephen M |
author_facet | Job, Dominic E Whalley, Heather C McIntosh, Andrew M Owens, David GC Johnstone, Eve C Lawrie, Stephen M |
author_sort | Job, Dominic E |
collection | PubMed |
description | BACKGROUND: We hypothesised that subjects at familial high risk of developing schizophrenia would have a reduction over time in grey matter, particularly in the temporal lobes, and that this reduction may predict schizophrenia better than clinical measurements. METHODS: We analysed magnetic resonance images of 65 high-risk subjects from the Edinburgh High Risk Study sample who had two scans a mean of 1.52 years apart. Eight of these 65 subjects went on to develop schizophrenia an average of 2.3 years after their first scan. RESULTS: Changes over time in the inferior temporal gyrus gave a 60% positive predictive value (likelihood ratio >10) of developing schizophrenia compared to the overall 13% risk in the cohort as a whole. CONCLUSION: Changes in grey matter could be used as part of a predictive test for schizophrenia in people at enhanced risk for familial reasons, particularly for positive predictive power, in combination with other clinical and cognitive predictive measures, several of which are strong negative predictors. However, because of the limited number of subjects, this test requires independent replication to confirm its validity. |
format | Text |
id | pubmed-1698489 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2006 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-16984892006-12-13 Grey matter changes can improve the prediction of schizophrenia in subjects at high risk Job, Dominic E Whalley, Heather C McIntosh, Andrew M Owens, David GC Johnstone, Eve C Lawrie, Stephen M BMC Med Research Article BACKGROUND: We hypothesised that subjects at familial high risk of developing schizophrenia would have a reduction over time in grey matter, particularly in the temporal lobes, and that this reduction may predict schizophrenia better than clinical measurements. METHODS: We analysed magnetic resonance images of 65 high-risk subjects from the Edinburgh High Risk Study sample who had two scans a mean of 1.52 years apart. Eight of these 65 subjects went on to develop schizophrenia an average of 2.3 years after their first scan. RESULTS: Changes over time in the inferior temporal gyrus gave a 60% positive predictive value (likelihood ratio >10) of developing schizophrenia compared to the overall 13% risk in the cohort as a whole. CONCLUSION: Changes in grey matter could be used as part of a predictive test for schizophrenia in people at enhanced risk for familial reasons, particularly for positive predictive power, in combination with other clinical and cognitive predictive measures, several of which are strong negative predictors. However, because of the limited number of subjects, this test requires independent replication to confirm its validity. BioMed Central 2006-12-07 /pmc/articles/PMC1698489/ /pubmed/17156415 http://dx.doi.org/10.1186/1741-7015-4-29 Text en Copyright © 2006 Job et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Job, Dominic E Whalley, Heather C McIntosh, Andrew M Owens, David GC Johnstone, Eve C Lawrie, Stephen M Grey matter changes can improve the prediction of schizophrenia in subjects at high risk |
title | Grey matter changes can improve the prediction of schizophrenia in subjects at high risk |
title_full | Grey matter changes can improve the prediction of schizophrenia in subjects at high risk |
title_fullStr | Grey matter changes can improve the prediction of schizophrenia in subjects at high risk |
title_full_unstemmed | Grey matter changes can improve the prediction of schizophrenia in subjects at high risk |
title_short | Grey matter changes can improve the prediction of schizophrenia in subjects at high risk |
title_sort | grey matter changes can improve the prediction of schizophrenia in subjects at high risk |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1698489/ https://www.ncbi.nlm.nih.gov/pubmed/17156415 http://dx.doi.org/10.1186/1741-7015-4-29 |
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