Literature DB >> 10496690

Methodological issues in volumetric magnetic resonance imaging of the brain in the Edinburgh High Risk Project.

H C Whalley1, J N Kestelman, J E Rimmington, A Kelso, S S Abukmeil, J J Best, E C Johnstone, S M Lawrie.   

Abstract

The Edinburgh High Risk Project is a longitudinal study of brain structure (and function) in subjects at high risk of developing schizophrenia in the next 5-10 years for genetic reasons. In this article we describe the methods of volumetric analysis of structural magnetic resonance images used in the study. We also consider potential sources of error in these methods: the validity of our image analysis techniques; inter- and intra-rater reliability; possible positional variation; and thresholding criteria used in separating brain from cerebro-spinal fluid (CSF). Investigation with a phantom test object (of similar imaging characteristics to the brain) provided evidence for the validity of our image acquisition and analysis techniques. Both inter- and intra-rater reliability were found to be good in whole brain measures but less so for smaller regions. There were no statistically significant differences in positioning across the three study groups (patients with schizophrenia, high risk subjects and normal volunteers). A new technique for thresholding MRI scans longitudinally is described (the 'rescale' method) and compared with our established method (thresholding by eye). Few differences between the two techniques were seen at 3- and 6-month follow-up. These findings demonstrate the validity and reliability of the structural MRI analysis techniques used in the Edinburgh High Risk Project, and highlight methodological issues of general concern in cross-sectional and longitudinal studies of brain structure in healthy control subjects and neuropsychiatric populations.

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Year:  1999        PMID: 10496690     DOI: 10.1016/s0925-4927(99)00012-8

Source DB:  PubMed          Journal:  Psychiatry Res        ISSN: 0165-1781            Impact factor:   3.222


  6 in total

1.  A Parallel Independent Component Analysis Approach to Investigate Genomic Influence on Brain Function.

Authors:  Jingyu Liu; Oguz Demirci; Vince D Calhoun
Journal:  IEEE Signal Process Lett       Date:  2008-01-01       Impact factor: 3.109

2.  Combining fMRI and SNP data to investigate connections between brain function and genetics using parallel ICA.

Authors:  Jingyu Liu; Godfrey Pearlson; Andreas Windemuth; Gualberto Ruano; Nora I Perrone-Bizzozero; Vince Calhoun
Journal:  Hum Brain Mapp       Date:  2009-01       Impact factor: 5.038

3.  The impact of substance use on brain structure in people at high risk of developing schizophrenia.

Authors:  Killian A Welch; Andrew M McIntosh; Dominic E Job; Heather C Whalley; Thomas W Moorhead; Jeremy Hall; David G C Owens; Stephen M Lawrie; Eve C Johnstone
Journal:  Schizophr Bull       Date:  2010-03-11       Impact factor: 9.306

4.  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

5.  Correlations between fMRI activation and individual psychotic symptoms in un-medicated subjects at high genetic risk of schizophrenia.

Authors:  Heather C Whalley; Viktoria-Eleni Gountouna; Jeremy Hall; Andrew McIntosh; Marie-Claire Whyte; Enrico Simonotto; Dominic E Job; David G C Owens; Eve C Johnstone; Stephen M Lawrie
Journal:  BMC Psychiatry       Date:  2007-10-29       Impact factor: 3.630

6.  A polygenic risk score analysis of psychosis endophenotypes across brain functional, structural, and cognitive domains.

Authors:  Siri Ranlund; Stella Calafato; Johan H Thygesen; Kuang Lin; Wiepke Cahn; Benedicto Crespo-Facorro; Sonja M C de Zwarte; Álvaro Díez; Marta Di Forti; Conrad Iyegbe; Assen Jablensky; Rebecca Jones; Mei-Hua Hall; Rene Kahn; Luba Kalaydjieva; Eugenia Kravariti; Colm McDonald; Andrew M McIntosh; Andrew McQuillin; Marco Picchioni; Diana P Prata; Dan Rujescu; Katja Schulze; Madiha Shaikh; Timothea Toulopoulou; Neeltje van Haren; Jim van Os; Evangelos Vassos; Muriel Walshe; Cathryn Lewis; Robin M Murray; John Powell; Elvira Bramon
Journal:  Am J Med Genet B Neuropsychiatr Genet       Date:  2017-08-29       Impact factor: 3.568

  6 in total

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