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Progressive brainstem pathology in motor neuron diseases: Imaging data from amyotrophic lateral sclerosis and primary lateral sclerosis
A standardised, single-centre, longitudinal imaging protocol was used to evaluate longitudinal brainstem alterations in 100 patients with amyotrophic lateral sclerosis (ALS) with reference to 33 patients with primary lateral sclerosis (PLS), 30 patients with frontotemporal dementia (FTD) and 100 hea...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7016370/ https://www.ncbi.nlm.nih.gov/pubmed/32083157 http://dx.doi.org/10.1016/j.dib.2020.105229 |
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author | Bede, Peter Chipika, Rangariroyashe H. Finegan, Eoin Li Hi Shing, Stacey Chang, Kai Ming Doherty, Mark A. Hengeveld, Jennifer C. Vajda, Alice Hutchinson, Siobhan Donaghy, Colette McLaughlin, Russell L. Hardiman, Orla |
author_facet | Bede, Peter Chipika, Rangariroyashe H. Finegan, Eoin Li Hi Shing, Stacey Chang, Kai Ming Doherty, Mark A. Hengeveld, Jennifer C. Vajda, Alice Hutchinson, Siobhan Donaghy, Colette McLaughlin, Russell L. Hardiman, Orla |
author_sort | Bede, Peter |
collection | PubMed |
description | A standardised, single-centre, longitudinal imaging protocol was used to evaluate longitudinal brainstem alterations in 100 patients with amyotrophic lateral sclerosis (ALS) with reference to 33 patients with primary lateral sclerosis (PLS), 30 patients with frontotemporal dementia (FTD) and 100 healthy controls. “Brainstem pathology in amyotrophic lateral sclerosis and primary lateral sclerosis: A longitudinal neuroimaging study” [1] ALS patients were scanned twice; 4 months apart. T1-weighted imaging data were acquired on a 3 T Philips Achieva MRI system, using a 3D Inversion Recovery prepared Spoiled Gradient Recalled echo (IR-SPGR) sequence. Raw MRI data underwent meticulous quality control before pre-processing. A Bayesian segmentation algorithm was utilised to parcellate the brainstem into the medulla oblongata, pons and mesencephalon before estimating the volume of each segment. Vertex-based shape analyses were carried out to characterise anatomical patterns of atrophy. Brainstem volume loss in ALS was dominated by medulla oblongata atrophy, but significant pontine pathology was also detected. Brainstem volume reductions were more significant in PLS than in ALS after correcting for demographic variables and total intracranial volume. Shape analyses revealed bilateral ‘flattening’ of the medullary pyramids in ALS compared to healthy controls. Our data demonstrate that computational neuroimaging readily detects brainstem pathology in vivo in both amyotrophic lateral sclerosis and primary lateral sclerosis. |
format | Online Article Text |
id | pubmed-7016370 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-70163702020-02-20 Progressive brainstem pathology in motor neuron diseases: Imaging data from amyotrophic lateral sclerosis and primary lateral sclerosis Bede, Peter Chipika, Rangariroyashe H. Finegan, Eoin Li Hi Shing, Stacey Chang, Kai Ming Doherty, Mark A. Hengeveld, Jennifer C. Vajda, Alice Hutchinson, Siobhan Donaghy, Colette McLaughlin, Russell L. Hardiman, Orla Data Brief Neuroscience A standardised, single-centre, longitudinal imaging protocol was used to evaluate longitudinal brainstem alterations in 100 patients with amyotrophic lateral sclerosis (ALS) with reference to 33 patients with primary lateral sclerosis (PLS), 30 patients with frontotemporal dementia (FTD) and 100 healthy controls. “Brainstem pathology in amyotrophic lateral sclerosis and primary lateral sclerosis: A longitudinal neuroimaging study” [1] ALS patients were scanned twice; 4 months apart. T1-weighted imaging data were acquired on a 3 T Philips Achieva MRI system, using a 3D Inversion Recovery prepared Spoiled Gradient Recalled echo (IR-SPGR) sequence. Raw MRI data underwent meticulous quality control before pre-processing. A Bayesian segmentation algorithm was utilised to parcellate the brainstem into the medulla oblongata, pons and mesencephalon before estimating the volume of each segment. Vertex-based shape analyses were carried out to characterise anatomical patterns of atrophy. Brainstem volume loss in ALS was dominated by medulla oblongata atrophy, but significant pontine pathology was also detected. Brainstem volume reductions were more significant in PLS than in ALS after correcting for demographic variables and total intracranial volume. Shape analyses revealed bilateral ‘flattening’ of the medullary pyramids in ALS compared to healthy controls. Our data demonstrate that computational neuroimaging readily detects brainstem pathology in vivo in both amyotrophic lateral sclerosis and primary lateral sclerosis. Elsevier 2020-02-03 /pmc/articles/PMC7016370/ /pubmed/32083157 http://dx.doi.org/10.1016/j.dib.2020.105229 Text en © 2020 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 | Neuroscience Bede, Peter Chipika, Rangariroyashe H. Finegan, Eoin Li Hi Shing, Stacey Chang, Kai Ming Doherty, Mark A. Hengeveld, Jennifer C. Vajda, Alice Hutchinson, Siobhan Donaghy, Colette McLaughlin, Russell L. Hardiman, Orla Progressive brainstem pathology in motor neuron diseases: Imaging data from amyotrophic lateral sclerosis and primary lateral sclerosis |
title | Progressive brainstem pathology in motor neuron diseases: Imaging data from amyotrophic lateral sclerosis and primary lateral sclerosis |
title_full | Progressive brainstem pathology in motor neuron diseases: Imaging data from amyotrophic lateral sclerosis and primary lateral sclerosis |
title_fullStr | Progressive brainstem pathology in motor neuron diseases: Imaging data from amyotrophic lateral sclerosis and primary lateral sclerosis |
title_full_unstemmed | Progressive brainstem pathology in motor neuron diseases: Imaging data from amyotrophic lateral sclerosis and primary lateral sclerosis |
title_short | Progressive brainstem pathology in motor neuron diseases: Imaging data from amyotrophic lateral sclerosis and primary lateral sclerosis |
title_sort | progressive brainstem pathology in motor neuron diseases: imaging data from amyotrophic lateral sclerosis and primary lateral sclerosis |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7016370/ https://www.ncbi.nlm.nih.gov/pubmed/32083157 http://dx.doi.org/10.1016/j.dib.2020.105229 |
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