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Cognitive and behavioural but not motor impairment increases brain age in amyotrophic lateral sclerosis

Age is the most important single risk factor of sporadic amyotrophic lateral sclerosis. Neuroimaging together with machine-learning algorithms allows estimating individuals’ brain age. Deviations from normal brain-ageing trajectories (so called predicted brain age difference) were reported for a num...

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Autores principales: Hermann, Andreas, Tarakdjian, Gaël Nils, Temp, Anna Gesine Marie, Kasper, Elisabeth, Machts, Judith, Kaufmann, Jörn, Vielhaber, Stefan, Prudlo, Johannes, Cole, James H, Teipel, Stefan, Dyrba, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9556938/
https://www.ncbi.nlm.nih.gov/pubmed/36246047
http://dx.doi.org/10.1093/braincomms/fcac239
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author Hermann, Andreas
Tarakdjian, Gaël Nils
Temp, Anna Gesine Marie
Kasper, Elisabeth
Machts, Judith
Kaufmann, Jörn
Vielhaber, Stefan
Prudlo, Johannes
Cole, James H
Teipel, Stefan
Dyrba, Martin
author_facet Hermann, Andreas
Tarakdjian, Gaël Nils
Temp, Anna Gesine Marie
Kasper, Elisabeth
Machts, Judith
Kaufmann, Jörn
Vielhaber, Stefan
Prudlo, Johannes
Cole, James H
Teipel, Stefan
Dyrba, Martin
author_sort Hermann, Andreas
collection PubMed
description Age is the most important single risk factor of sporadic amyotrophic lateral sclerosis. Neuroimaging together with machine-learning algorithms allows estimating individuals’ brain age. Deviations from normal brain-ageing trajectories (so called predicted brain age difference) were reported for a number of neuropsychiatric disorders. While all of them showed increased predicted brain-age difference, there is surprisingly few data yet on it in motor neurodegenerative diseases. In this observational study, we made use of previously trained algorithms of 3377 healthy individuals and derived predicted brain age differences from volumetric MRI scans of 112 amyotrophic lateral sclerosis patients and 70 healthy controls. We correlated predicted brain age difference scores with voxel-based morphometry data and multiple different motoric disease characteristics as well as cognitive/behavioural changes categorized according to Strong and Rascovsky. Against our primary hypothesis, there was no higher predicted brain-age difference in the amyotrophic lateral sclerosis patients as a group. None of the motoric phenotypes/characteristics influenced predicted brain-age difference. However, cognitive/behavioural impairment led to significantly increased predicted brain-age difference, while slowly progressive as well as cognitive/behavioural normal amyotrophic lateral sclerosis patients had even younger brain ages than healthy controls. Of note, the cognitive/behavioural normal amyotrophic lateral sclerosis patients were identified to have increased cerebellar brain volume as potential resilience factor. Younger brain age was associated with longer survival. Our results raise the question whether younger brain age in amyotrophic lateral sclerosis with only motor impairment provides a cerebral reserve against cognitive and/or behavioural impairment and faster disease progression. This new conclusion needs to be tested in subsequent samples. In addition, it will be interesting to test whether a potential effect of cerebral reserve is specific for amyotrophic lateral sclerosis or can also be found in other neurodegenerative diseases with primary motor impairment.
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spelling pubmed-95569382022-10-13 Cognitive and behavioural but not motor impairment increases brain age in amyotrophic lateral sclerosis Hermann, Andreas Tarakdjian, Gaël Nils Temp, Anna Gesine Marie Kasper, Elisabeth Machts, Judith Kaufmann, Jörn Vielhaber, Stefan Prudlo, Johannes Cole, James H Teipel, Stefan Dyrba, Martin Brain Commun Original Article Age is the most important single risk factor of sporadic amyotrophic lateral sclerosis. Neuroimaging together with machine-learning algorithms allows estimating individuals’ brain age. Deviations from normal brain-ageing trajectories (so called predicted brain age difference) were reported for a number of neuropsychiatric disorders. While all of them showed increased predicted brain-age difference, there is surprisingly few data yet on it in motor neurodegenerative diseases. In this observational study, we made use of previously trained algorithms of 3377 healthy individuals and derived predicted brain age differences from volumetric MRI scans of 112 amyotrophic lateral sclerosis patients and 70 healthy controls. We correlated predicted brain age difference scores with voxel-based morphometry data and multiple different motoric disease characteristics as well as cognitive/behavioural changes categorized according to Strong and Rascovsky. Against our primary hypothesis, there was no higher predicted brain-age difference in the amyotrophic lateral sclerosis patients as a group. None of the motoric phenotypes/characteristics influenced predicted brain-age difference. However, cognitive/behavioural impairment led to significantly increased predicted brain-age difference, while slowly progressive as well as cognitive/behavioural normal amyotrophic lateral sclerosis patients had even younger brain ages than healthy controls. Of note, the cognitive/behavioural normal amyotrophic lateral sclerosis patients were identified to have increased cerebellar brain volume as potential resilience factor. Younger brain age was associated with longer survival. Our results raise the question whether younger brain age in amyotrophic lateral sclerosis with only motor impairment provides a cerebral reserve against cognitive and/or behavioural impairment and faster disease progression. This new conclusion needs to be tested in subsequent samples. In addition, it will be interesting to test whether a potential effect of cerebral reserve is specific for amyotrophic lateral sclerosis or can also be found in other neurodegenerative diseases with primary motor impairment. Oxford University Press 2022-09-22 /pmc/articles/PMC9556938/ /pubmed/36246047 http://dx.doi.org/10.1093/braincomms/fcac239 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of the Guarantors of Brain. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Hermann, Andreas
Tarakdjian, Gaël Nils
Temp, Anna Gesine Marie
Kasper, Elisabeth
Machts, Judith
Kaufmann, Jörn
Vielhaber, Stefan
Prudlo, Johannes
Cole, James H
Teipel, Stefan
Dyrba, Martin
Cognitive and behavioural but not motor impairment increases brain age in amyotrophic lateral sclerosis
title Cognitive and behavioural but not motor impairment increases brain age in amyotrophic lateral sclerosis
title_full Cognitive and behavioural but not motor impairment increases brain age in amyotrophic lateral sclerosis
title_fullStr Cognitive and behavioural but not motor impairment increases brain age in amyotrophic lateral sclerosis
title_full_unstemmed Cognitive and behavioural but not motor impairment increases brain age in amyotrophic lateral sclerosis
title_short Cognitive and behavioural but not motor impairment increases brain age in amyotrophic lateral sclerosis
title_sort cognitive and behavioural but not motor impairment increases brain age in amyotrophic lateral sclerosis
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9556938/
https://www.ncbi.nlm.nih.gov/pubmed/36246047
http://dx.doi.org/10.1093/braincomms/fcac239
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