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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
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.
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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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