Literature DB >> 11978848

Genetic contributions to altered callosal morphology in schizophrenia.

Katherine L Narr1, Tyrone D Cannon, Roger P Woods, Paul M Thompson, Sharon Kim, Dina Asunction, Theo G M van Erp, Veli-Pekka Poutanen, Matti Huttunen, Jouko Lönnqvist, Carl-Gustav Standerksjöld-Nordenstam, Jaakko Kaprio, John C Mazziotta, Arthur W Toga.   

Abstract

Patients with schizophrenia exhibit abnormalities in midsagittal corpus callosum area, shape, and/or displacement. Our goal was to confirm these findings and to establish the genetic and nongenetic contributions to altered callosal morphology in schizophrenia. Relationships between ventricular enlargements potentially contributing to callosal displacements were assessed as a secondary goal. High-resolution magnetic resonance images were obtained from co-twins of monozygotic and dizygotic pairs discordant for schizophrenia and healthy control twins (N = 40 pairs). Investigators blind to group status segmented the corpus callosum and ventricles in native brain volumes aligned using a rigid-body transformation with no scaling. Total and parcellated midsagittal callosal areas and measures indexing vertical displacements of the corpus callosum were used in statistical tests to identify schizophrenia and sex effects and to dissociate genetic and nongenetic influences on morphology. Anatomical mesh modeling methods provided group average and surface variability maps of the callosum. Callosal areas did not differ between groups defined by sex or biological risk. Vertical displacements of the callosum, pronounced in male patients, were confirmed in schizophrenia and observed between dizygotic, but not monozygotic co-twins discordant for schizophrenia. Like their affected twins, however, unaffected monozygotic co-twins of the schizophrenia probands exhibited significant callosal displacements. Lateral and third ventricle enlargements were related to callosal displacements. Results clearly support that genetic rather than disease-specific or shared environmental influences contribute to altered callosal morphology in schizophrenia. An upward bowing of the callosum may thus provide an easily identifiable neuroanatomic marker to screen individuals possessing a biological vulnerability for schizophrenia.

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Year:  2002        PMID: 11978848      PMCID: PMC6758392          DOI: 20026309

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  44 in total

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3.  Age at onset and sex differences in corpus callosum area in schizophrenia.

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Journal:  Schizophr Res       Date:  1999-12-21       Impact factor: 4.939

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Authors:  J G Sled; G B Pike
Journal:  IEEE Trans Med Imaging       Date:  1998-08       Impact factor: 10.048

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Authors:  S F Witelson
Journal:  Brain       Date:  1989-06       Impact factor: 13.501

6.  Analysis of cross-sectional area measurements of the corpus callosum adjusted for brain size in male and female subjects from childhood to adulthood.

Authors:  R A Rauch; J R Jinkins
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7.  Anatomical-behavioral relationships: corpus callosum morphometry and hemispheric specialization.

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Authors:  Tyrone D Cannon; Paul M Thompson; Theo G M van Erp; Arthur W Toga; Veli-Pekka Poutanen; Matti Huttunen; Jouko Lonnqvist; Carl-Gustav Standerskjold-Nordenstam; Katherine L Narr; Mohammad Khaledy; Chris I Zoumalan; Rajneesh Dail; Jaakko Kaprio
Journal:  Proc Natl Acad Sci U S A       Date:  2002-02-26       Impact factor: 11.205

Review 9.  Sex differences in the human corpus callosum: myth or reality?

Authors:  K M Bishop; D Wahlsten
Journal:  Neurosci Biobehav Rev       Date:  1997-09       Impact factor: 8.989

10.  Meta-analysis of corpus callosum size in schizophrenia.

Authors:  P W Woodruff; I C McManus; A S David
Journal:  J Neurol Neurosurg Psychiatry       Date:  1995-04       Impact factor: 10.154

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  26 in total

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Review 2.  Cortical mapping of genotype-phenotype relationships in schizophrenia.

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Review 4.  Neuroimaging endophenotypes: strategies for finding genes influencing brain structure and function.

Authors:  David C Glahn; Paul M Thompson; John Blangero
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5.  A statistical analysis of brain morphology using wild bootstrapping.

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7.  Mapping corticocortical structural integrity in schizophrenia and effects of genetic liability.

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8.  Statistical Modelling of Brain Morphological Measures Within Family Pedigrees.

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9.  Mapping callosal morphology in early- and late-onset elderly depression: an index of distinct changes in cortical connectivity.

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