Morphological correlates to cognitive dysfunction in schizophrenia as studied with Bayesian regression

<p>Abstract</p> <p>Background</p> <p>Relationships between cognitive deficits and brain morphological changes observed in schizophrenia are alternately explained by less gray matter in the brain cerebral cortex, by alterations in neural circuitry involving the basal gan...

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Main Authors: Lawyer Glenn, Nyman Håkan, Agartz Ingrid, Arnborg Stefan, Jönsson Erik G, Sedvall Göran C, Hall Håkan
Format: Article
Language:English
Published: BMC 2006-08-01
Series:BMC Psychiatry
Online Access:http://www.biomedcentral.com/1471-244X/6/31
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spelling doaj-e99a566857454ab2812a4ad7e8c9f31d2020-11-25T01:01:00ZengBMCBMC Psychiatry1471-244X2006-08-01613110.1186/1471-244X-6-31Morphological correlates to cognitive dysfunction in schizophrenia as studied with Bayesian regressionLawyer GlennNyman HåkanAgartz IngridArnborg StefanJönsson Erik GSedvall Göran CHall Håkan<p>Abstract</p> <p>Background</p> <p>Relationships between cognitive deficits and brain morphological changes observed in schizophrenia are alternately explained by less gray matter in the brain cerebral cortex, by alterations in neural circuitry involving the basal ganglia, and by alteration in cerebellar structures and related neural circuitry. This work explored a model encompassing all of these possibilities to identify the strongest morphological relationships to cognitive skill in schizophrenia.</p> <p>Methods</p> <p>Seventy-one patients with schizophrenia and sixty-five healthy control subjects were characterized by neuropsychological tests covering six functional domains. Measures of sixteen brain morphological structures were taken using semi-automatic and fully manual tracing of MRI images, with the full set of measures completed on thirty of the patients and twenty controls. Group differences were calculated. A Bayesian decision-theoretic method identified those morphological features, which best explained neuropsychological test scores in the context of a multivariate response linear model with interactions.</p> <p>Results</p> <p>Patients performed significantly worse on all neuropsychological tests except some regarding executive function. The most prominent morphological observations were enlarged ventricles, reduced posterior superior vermis gray matter volumes, and increased putamen gray matter volumes in the patients.</p> <p>The Bayesian method associated putamen volumes with verbal learning, vigilance, and (to a lesser extent) executive function, while caudate volumes were associated with working memory. Vermis regions were associated with vigilance, executive function, and, less strongly, visuo-motor speed. Ventricular volume was strongly associated with visuo-motor speed, vocabulary, and executive function. Those neuropsychological tests, which were strongly associated to ventricular volume, showed only weak association to diagnosis, possibly because ventricular volume was regarded a proxy for diagnosis. Diagnosis was strongly associated with the other neuropsychological tests, implying that the morphological associations for these tasks reflected morphological effects and not merely group volumetric differences. Interaction effects were rarely associated, indicating that volumetric relationships to neuropsychological performance were similar for both patients and controls.</p> <p>Conclusion</p> <p>The association of subcortical and cerebellar structures to verbal learning, vigilance, and working memory supports the importance of neural connectivity to these functions. The finding that a morphological indicator of diagnosis (ventricular volume) provided more explanatory power than diagnosis itself for visuo-motor speed, vocabulary, and executive function suggests that volumetric abnormalities in the disease are more important for cognition than non-morphological features.</p> http://www.biomedcentral.com/1471-244X/6/31
collection DOAJ
language English
format Article
sources DOAJ
author Lawyer Glenn
Nyman Håkan
Agartz Ingrid
Arnborg Stefan
Jönsson Erik G
Sedvall Göran C
Hall Håkan
spellingShingle Lawyer Glenn
Nyman Håkan
Agartz Ingrid
Arnborg Stefan
Jönsson Erik G
Sedvall Göran C
Hall Håkan
Morphological correlates to cognitive dysfunction in schizophrenia as studied with Bayesian regression
BMC Psychiatry
author_facet Lawyer Glenn
Nyman Håkan
Agartz Ingrid
Arnborg Stefan
Jönsson Erik G
Sedvall Göran C
Hall Håkan
author_sort Lawyer Glenn
title Morphological correlates to cognitive dysfunction in schizophrenia as studied with Bayesian regression
title_short Morphological correlates to cognitive dysfunction in schizophrenia as studied with Bayesian regression
title_full Morphological correlates to cognitive dysfunction in schizophrenia as studied with Bayesian regression
title_fullStr Morphological correlates to cognitive dysfunction in schizophrenia as studied with Bayesian regression
title_full_unstemmed Morphological correlates to cognitive dysfunction in schizophrenia as studied with Bayesian regression
title_sort morphological correlates to cognitive dysfunction in schizophrenia as studied with bayesian regression
publisher BMC
series BMC Psychiatry
issn 1471-244X
publishDate 2006-08-01
description <p>Abstract</p> <p>Background</p> <p>Relationships between cognitive deficits and brain morphological changes observed in schizophrenia are alternately explained by less gray matter in the brain cerebral cortex, by alterations in neural circuitry involving the basal ganglia, and by alteration in cerebellar structures and related neural circuitry. This work explored a model encompassing all of these possibilities to identify the strongest morphological relationships to cognitive skill in schizophrenia.</p> <p>Methods</p> <p>Seventy-one patients with schizophrenia and sixty-five healthy control subjects were characterized by neuropsychological tests covering six functional domains. Measures of sixteen brain morphological structures were taken using semi-automatic and fully manual tracing of MRI images, with the full set of measures completed on thirty of the patients and twenty controls. Group differences were calculated. A Bayesian decision-theoretic method identified those morphological features, which best explained neuropsychological test scores in the context of a multivariate response linear model with interactions.</p> <p>Results</p> <p>Patients performed significantly worse on all neuropsychological tests except some regarding executive function. The most prominent morphological observations were enlarged ventricles, reduced posterior superior vermis gray matter volumes, and increased putamen gray matter volumes in the patients.</p> <p>The Bayesian method associated putamen volumes with verbal learning, vigilance, and (to a lesser extent) executive function, while caudate volumes were associated with working memory. Vermis regions were associated with vigilance, executive function, and, less strongly, visuo-motor speed. Ventricular volume was strongly associated with visuo-motor speed, vocabulary, and executive function. Those neuropsychological tests, which were strongly associated to ventricular volume, showed only weak association to diagnosis, possibly because ventricular volume was regarded a proxy for diagnosis. Diagnosis was strongly associated with the other neuropsychological tests, implying that the morphological associations for these tasks reflected morphological effects and not merely group volumetric differences. Interaction effects were rarely associated, indicating that volumetric relationships to neuropsychological performance were similar for both patients and controls.</p> <p>Conclusion</p> <p>The association of subcortical and cerebellar structures to verbal learning, vigilance, and working memory supports the importance of neural connectivity to these functions. The finding that a morphological indicator of diagnosis (ventricular volume) provided more explanatory power than diagnosis itself for visuo-motor speed, vocabulary, and executive function suggests that volumetric abnormalities in the disease are more important for cognition than non-morphological features.</p>
url http://www.biomedcentral.com/1471-244X/6/31
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