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Asymmetrical white matter networks for attending to global versus local features
The ability to draw objects is a complex process depending on an array of cognitive mechanisms including routines for spatial coding, attention and the processing of both local and global features. Previous studies using both neuropsychological and neuroimaging data have reported hemispheric asymmet...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Masson
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4643681/ https://www.ncbi.nlm.nih.gov/pubmed/25727548 http://dx.doi.org/10.1016/j.cortex.2015.01.022 |
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author | Chechlacz, Magdalena Mantini, Dante Gillebert, Celine R. Humphreys, Glyn W. |
author_facet | Chechlacz, Magdalena Mantini, Dante Gillebert, Celine R. Humphreys, Glyn W. |
author_sort | Chechlacz, Magdalena |
collection | PubMed |
description | The ability to draw objects is a complex process depending on an array of cognitive mechanisms including routines for spatial coding, attention and the processing of both local and global features. Previous studies using both neuropsychological and neuroimaging data have reported hemispheric asymmetries in attending to local versus global features linked to a variety of cortical loci. However, it has not been examined to date whether such asymmetries exist at the level of white matter pathways sub-serving global/local attention. The current study provides a comprehensive analysis of brain-behaviour relationships in the processing of local versus global features based on data from a large cohort of sub-acute stroke patients (n = 248) and behavioural measures from a complex figure copy task. The data analysis used newly developed methods for automated delineation of stroke lesions combined with track-wise lesion deficits procedures. We found (i) that reproduction of local features in figure copying was supported by a neural network confined to the left hemisphere, consisting of cortical loci within parietal, occipital and insular lobes and interconnected by the inferior-fronto-occipital fasciculus (IFOF), and (ii) that global feature processing was associated with a right hemisphere network interconnected by the third branch of the superior longitudinal fasciculus and the long segment of the perisylvian network. The data support the argument that asymmetrical white matter disconnections within long–range association pathways predict poor complex figure drawing resulting from deficits in hierarchical representation. We conclude that hemispheric asymmetries in attending to local versus global features exist on the level of both cortical loci and the supporting white matter pathways. |
format | Online Article Text |
id | pubmed-4643681 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Masson |
record_format | MEDLINE/PubMed |
spelling | pubmed-46436812015-12-08 Asymmetrical white matter networks for attending to global versus local features Chechlacz, Magdalena Mantini, Dante Gillebert, Celine R. Humphreys, Glyn W. Cortex Special issue: Research report The ability to draw objects is a complex process depending on an array of cognitive mechanisms including routines for spatial coding, attention and the processing of both local and global features. Previous studies using both neuropsychological and neuroimaging data have reported hemispheric asymmetries in attending to local versus global features linked to a variety of cortical loci. However, it has not been examined to date whether such asymmetries exist at the level of white matter pathways sub-serving global/local attention. The current study provides a comprehensive analysis of brain-behaviour relationships in the processing of local versus global features based on data from a large cohort of sub-acute stroke patients (n = 248) and behavioural measures from a complex figure copy task. The data analysis used newly developed methods for automated delineation of stroke lesions combined with track-wise lesion deficits procedures. We found (i) that reproduction of local features in figure copying was supported by a neural network confined to the left hemisphere, consisting of cortical loci within parietal, occipital and insular lobes and interconnected by the inferior-fronto-occipital fasciculus (IFOF), and (ii) that global feature processing was associated with a right hemisphere network interconnected by the third branch of the superior longitudinal fasciculus and the long segment of the perisylvian network. The data support the argument that asymmetrical white matter disconnections within long–range association pathways predict poor complex figure drawing resulting from deficits in hierarchical representation. We conclude that hemispheric asymmetries in attending to local versus global features exist on the level of both cortical loci and the supporting white matter pathways. Masson 2015-11 /pmc/articles/PMC4643681/ /pubmed/25727548 http://dx.doi.org/10.1016/j.cortex.2015.01.022 Text en © 2015 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Special issue: Research report Chechlacz, Magdalena Mantini, Dante Gillebert, Celine R. Humphreys, Glyn W. Asymmetrical white matter networks for attending to global versus local features |
title | Asymmetrical white matter networks for attending to global versus local features |
title_full | Asymmetrical white matter networks for attending to global versus local features |
title_fullStr | Asymmetrical white matter networks for attending to global versus local features |
title_full_unstemmed | Asymmetrical white matter networks for attending to global versus local features |
title_short | Asymmetrical white matter networks for attending to global versus local features |
title_sort | asymmetrical white matter networks for attending to global versus local features |
topic | Special issue: Research report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4643681/ https://www.ncbi.nlm.nih.gov/pubmed/25727548 http://dx.doi.org/10.1016/j.cortex.2015.01.022 |
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