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Prefrontal cortical thickness in motor neuron disease

OBJECTIVE: To examine whether the distribution of prefrontal cortical thickness in patients with motor neuron disease is normal or bimodal and how it compares to the normal population. METHODS: 158 patients with motor neuron disease (MND) and 86 healthy controls (HC) were enrolled in a prospective,...

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Autores principales: Machts, Judith, Cardenas-Blanco, Arturo, Acosta-Cabronero, Julio, Kaufmann, Joern, Loewe, Kristian, Kasper, Elisabeth, Schuster, Christina, Prudlo, Johannes, Vielhaber, Stefan, Nestor, Peter J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5987868/
https://www.ncbi.nlm.nih.gov/pubmed/29876256
http://dx.doi.org/10.1016/j.nicl.2018.03.002
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author Machts, Judith
Cardenas-Blanco, Arturo
Acosta-Cabronero, Julio
Kaufmann, Joern
Loewe, Kristian
Kasper, Elisabeth
Schuster, Christina
Prudlo, Johannes
Vielhaber, Stefan
Nestor, Peter J.
author_facet Machts, Judith
Cardenas-Blanco, Arturo
Acosta-Cabronero, Julio
Kaufmann, Joern
Loewe, Kristian
Kasper, Elisabeth
Schuster, Christina
Prudlo, Johannes
Vielhaber, Stefan
Nestor, Peter J.
author_sort Machts, Judith
collection PubMed
description OBJECTIVE: To examine whether the distribution of prefrontal cortical thickness in patients with motor neuron disease is normal or bimodal and how it compares to the normal population. METHODS: 158 patients with motor neuron disease (MND) and 86 healthy controls (HC) were enrolled in a prospective, two-center study with a common structural MRI protocol. Cortical thickness measures were extracted for the prefrontal cortex, premotor cortex, motor cortex, and occipital cortex using FreeSurfer, adjusted for age and sex, and tested for normality of distribution. RESULTS: Cortical thickness measures of the bilateral prefrontal, premotor, motor, and occipital cortex were normally distributed in patients and healthy controls. MND-related cortical thinning was observed in the right motor cortex (p = 0.002), reflected in a significantly higher proportion of MND cases being worse than −1 standard deviation of the healthy control mean: 29.1% in the right motor cortex (p = 0.002). Cortical thinning of the left motor cortex was a function of clinical phenotype and physical disability. Left prefrontal cortical thickness was reduced in patients with additional cognitive and/or behavioural deficits compared to MND patients without cognitive deficits. Prefrontal, premotor, motor, and occipital cortical thickness was related to patients' general cognitive abilities. CONCLUSION: The study shows that prefrontal cortical thickness in MND is normally distributed but shifted towards thinner cortex in MND patients with cognitive and/or behavioural impairment. The distribution of thickness values did not indicate the assumption of a bimodal distribution although patients with comorbid cognitive deficits are more likely to suffer from prefrontal cortical thinning.
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spelling pubmed-59878682018-06-06 Prefrontal cortical thickness in motor neuron disease Machts, Judith Cardenas-Blanco, Arturo Acosta-Cabronero, Julio Kaufmann, Joern Loewe, Kristian Kasper, Elisabeth Schuster, Christina Prudlo, Johannes Vielhaber, Stefan Nestor, Peter J. Neuroimage Clin Regular Article OBJECTIVE: To examine whether the distribution of prefrontal cortical thickness in patients with motor neuron disease is normal or bimodal and how it compares to the normal population. METHODS: 158 patients with motor neuron disease (MND) and 86 healthy controls (HC) were enrolled in a prospective, two-center study with a common structural MRI protocol. Cortical thickness measures were extracted for the prefrontal cortex, premotor cortex, motor cortex, and occipital cortex using FreeSurfer, adjusted for age and sex, and tested for normality of distribution. RESULTS: Cortical thickness measures of the bilateral prefrontal, premotor, motor, and occipital cortex were normally distributed in patients and healthy controls. MND-related cortical thinning was observed in the right motor cortex (p = 0.002), reflected in a significantly higher proportion of MND cases being worse than −1 standard deviation of the healthy control mean: 29.1% in the right motor cortex (p = 0.002). Cortical thinning of the left motor cortex was a function of clinical phenotype and physical disability. Left prefrontal cortical thickness was reduced in patients with additional cognitive and/or behavioural deficits compared to MND patients without cognitive deficits. Prefrontal, premotor, motor, and occipital cortical thickness was related to patients' general cognitive abilities. CONCLUSION: The study shows that prefrontal cortical thickness in MND is normally distributed but shifted towards thinner cortex in MND patients with cognitive and/or behavioural impairment. The distribution of thickness values did not indicate the assumption of a bimodal distribution although patients with comorbid cognitive deficits are more likely to suffer from prefrontal cortical thinning. Elsevier 2018-03-02 /pmc/articles/PMC5987868/ /pubmed/29876256 http://dx.doi.org/10.1016/j.nicl.2018.03.002 Text en © 2018 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Regular Article
Machts, Judith
Cardenas-Blanco, Arturo
Acosta-Cabronero, Julio
Kaufmann, Joern
Loewe, Kristian
Kasper, Elisabeth
Schuster, Christina
Prudlo, Johannes
Vielhaber, Stefan
Nestor, Peter J.
Prefrontal cortical thickness in motor neuron disease
title Prefrontal cortical thickness in motor neuron disease
title_full Prefrontal cortical thickness in motor neuron disease
title_fullStr Prefrontal cortical thickness in motor neuron disease
title_full_unstemmed Prefrontal cortical thickness in motor neuron disease
title_short Prefrontal cortical thickness in motor neuron disease
title_sort prefrontal cortical thickness in motor neuron disease
topic Regular Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5987868/
https://www.ncbi.nlm.nih.gov/pubmed/29876256
http://dx.doi.org/10.1016/j.nicl.2018.03.002
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