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Evaluating the granularity and statistical structure of lesions and behaviour in post-stroke aphasia
The pursuit of relating the location of neural damage to the pattern of acquired language and general cognitive deficits post-stroke stems back to the 19th century behavioural neurology. While spatial specificity has improved dramatically over time, from the large areas of damage specified by post-m...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7472896/ https://www.ncbi.nlm.nih.gov/pubmed/32954319 http://dx.doi.org/10.1093/braincomms/fcaa062 |
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author | Zhao, Ying Halai, Ajay D Lambon Ralph, Matthew A |
author_facet | Zhao, Ying Halai, Ajay D Lambon Ralph, Matthew A |
author_sort | Zhao, Ying |
collection | PubMed |
description | The pursuit of relating the location of neural damage to the pattern of acquired language and general cognitive deficits post-stroke stems back to the 19th century behavioural neurology. While spatial specificity has improved dramatically over time, from the large areas of damage specified by post-mortem investigation to the millimetre precision of modern MRI, there is an underlying issue that is rarely addressed, which relates to the fact that damage to a given area of the brain is not random but constrained by the brain’s vasculature. Accordingly, the aim of this study was to uncover the statistical structure underlying the lesion profile in chronic aphasia post-stroke. By applying varimax-rotated principal component analysis to the lesions of 70 patients with chronic post-stroke aphasia, we identified 17 interpretable clusters, largely reflecting the vascular supply of middle cerebral artery sub-branches and other sources of individual variation in vascular supply as shown in classical angiography studies. This vascular parcellation produced smaller displacement error in simulated lesion–symptom analysis compared with individual voxels and Brodmann regions. A second principal component analysis of the patients’ detailed neuropsychological data revealed a four-factor solution reflecting phonological, semantic, executive-demand and speech fluency abilities. As a preliminary exploration, stepwise regression was used to relate behavioural factor scores to the lesion principal components. Phonological ability was related to two components, which covered the posterior temporal region including the posterior segment of the arcuate fasciculus, and the inferior frontal gyrus. Three components were linked to semantic ability and were located in the white matter underlying the anterior temporal lobe, the supramarginal gyrus and angular gyrus. Executive-demand related to two components covering the dorsal edge of the middle cerebral artery territory, while speech fluency was linked to two components that were located in the middle frontal gyrus, precentral gyrus and subcortical regions (putamen and thalamus). Future studies can explore in formal terms the utility of these principal component analysis-derived lesion components for relating post-stroke lesions and symptoms. |
format | Online Article Text |
id | pubmed-7472896 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-74728962020-09-17 Evaluating the granularity and statistical structure of lesions and behaviour in post-stroke aphasia Zhao, Ying Halai, Ajay D Lambon Ralph, Matthew A Brain Commun Original Article The pursuit of relating the location of neural damage to the pattern of acquired language and general cognitive deficits post-stroke stems back to the 19th century behavioural neurology. While spatial specificity has improved dramatically over time, from the large areas of damage specified by post-mortem investigation to the millimetre precision of modern MRI, there is an underlying issue that is rarely addressed, which relates to the fact that damage to a given area of the brain is not random but constrained by the brain’s vasculature. Accordingly, the aim of this study was to uncover the statistical structure underlying the lesion profile in chronic aphasia post-stroke. By applying varimax-rotated principal component analysis to the lesions of 70 patients with chronic post-stroke aphasia, we identified 17 interpretable clusters, largely reflecting the vascular supply of middle cerebral artery sub-branches and other sources of individual variation in vascular supply as shown in classical angiography studies. This vascular parcellation produced smaller displacement error in simulated lesion–symptom analysis compared with individual voxels and Brodmann regions. A second principal component analysis of the patients’ detailed neuropsychological data revealed a four-factor solution reflecting phonological, semantic, executive-demand and speech fluency abilities. As a preliminary exploration, stepwise regression was used to relate behavioural factor scores to the lesion principal components. Phonological ability was related to two components, which covered the posterior temporal region including the posterior segment of the arcuate fasciculus, and the inferior frontal gyrus. Three components were linked to semantic ability and were located in the white matter underlying the anterior temporal lobe, the supramarginal gyrus and angular gyrus. Executive-demand related to two components covering the dorsal edge of the middle cerebral artery territory, while speech fluency was linked to two components that were located in the middle frontal gyrus, precentral gyrus and subcortical regions (putamen and thalamus). Future studies can explore in formal terms the utility of these principal component analysis-derived lesion components for relating post-stroke lesions and symptoms. Oxford University Press 2020-05-19 /pmc/articles/PMC7472896/ /pubmed/32954319 http://dx.doi.org/10.1093/braincomms/fcaa062 Text en © The Author(s) (2020). Published by Oxford University Press on behalf of the Guarantors of Brain. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://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 Zhao, Ying Halai, Ajay D Lambon Ralph, Matthew A Evaluating the granularity and statistical structure of lesions and behaviour in post-stroke aphasia |
title | Evaluating the granularity and statistical structure of lesions and behaviour in post-stroke aphasia |
title_full | Evaluating the granularity and statistical structure of lesions and behaviour in post-stroke aphasia |
title_fullStr | Evaluating the granularity and statistical structure of lesions and behaviour in post-stroke aphasia |
title_full_unstemmed | Evaluating the granularity and statistical structure of lesions and behaviour in post-stroke aphasia |
title_short | Evaluating the granularity and statistical structure of lesions and behaviour in post-stroke aphasia |
title_sort | evaluating the granularity and statistical structure of lesions and behaviour in post-stroke aphasia |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7472896/ https://www.ncbi.nlm.nih.gov/pubmed/32954319 http://dx.doi.org/10.1093/braincomms/fcaa062 |
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