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Advanced lesion symptom mapping analyses and implementation as BCBtoolkit
BACKGROUND: Patients with brain lesions provide a unique opportunity to understand the functioning of the human mind. However, even when focal, brain lesions have local and remote effects that impact functionally and structurally connected circuits. Similarly, function emerges from the interaction b...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5863218/ https://www.ncbi.nlm.nih.gov/pubmed/29432527 http://dx.doi.org/10.1093/gigascience/giy004 |
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author | Foulon, Chris Cerliani, Leonardo Kinkingnéhun, Serge Levy, Richard Rosso, Charlotte Urbanski, Marika Volle, Emmanuelle Thiebaut de Schotten, Michel |
author_facet | Foulon, Chris Cerliani, Leonardo Kinkingnéhun, Serge Levy, Richard Rosso, Charlotte Urbanski, Marika Volle, Emmanuelle Thiebaut de Schotten, Michel |
author_sort | Foulon, Chris |
collection | PubMed |
description | BACKGROUND: Patients with brain lesions provide a unique opportunity to understand the functioning of the human mind. However, even when focal, brain lesions have local and remote effects that impact functionally and structurally connected circuits. Similarly, function emerges from the interaction between brain areas rather than their sole activity. For instance, category fluency requires the associations between executive, semantic, and language production functions. FINDINGS: Here, we provide, for the first time, a set of complementary solutions for measuring the impact of a given lesion on the neuronal circuits. Our methods, which were applied to 37 patients with a focal frontal brain lesions, revealed a large set of directly and indirectly disconnected brain regions that had significantly impacted category fluency performance. The directly disconnected regions corresponded to areas that are classically considered as functionally engaged in verbal fluency and categorization tasks. These regions were also organized into larger directly and indirectly disconnected functional networks, including the left ventral fronto-parietal network, whose cortical thickness correlated with performance on category fluency. CONCLUSIONS: The combination of structural and functional connectivity together with cortical thickness estimates reveal the remote effects of brain lesions, provide for the identification of the affected networks, and strengthen our understanding of their relationship with cognitive and behavioral measures. The methods presented are available and freely accessible in the BCBtoolkit as supplementary software [1]. |
format | Online Article Text |
id | pubmed-5863218 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-58632182018-03-29 Advanced lesion symptom mapping analyses and implementation as BCBtoolkit Foulon, Chris Cerliani, Leonardo Kinkingnéhun, Serge Levy, Richard Rosso, Charlotte Urbanski, Marika Volle, Emmanuelle Thiebaut de Schotten, Michel Gigascience Technical Note BACKGROUND: Patients with brain lesions provide a unique opportunity to understand the functioning of the human mind. However, even when focal, brain lesions have local and remote effects that impact functionally and structurally connected circuits. Similarly, function emerges from the interaction between brain areas rather than their sole activity. For instance, category fluency requires the associations between executive, semantic, and language production functions. FINDINGS: Here, we provide, for the first time, a set of complementary solutions for measuring the impact of a given lesion on the neuronal circuits. Our methods, which were applied to 37 patients with a focal frontal brain lesions, revealed a large set of directly and indirectly disconnected brain regions that had significantly impacted category fluency performance. The directly disconnected regions corresponded to areas that are classically considered as functionally engaged in verbal fluency and categorization tasks. These regions were also organized into larger directly and indirectly disconnected functional networks, including the left ventral fronto-parietal network, whose cortical thickness correlated with performance on category fluency. CONCLUSIONS: The combination of structural and functional connectivity together with cortical thickness estimates reveal the remote effects of brain lesions, provide for the identification of the affected networks, and strengthen our understanding of their relationship with cognitive and behavioral measures. The methods presented are available and freely accessible in the BCBtoolkit as supplementary software [1]. Oxford University Press 2018-02-08 /pmc/articles/PMC5863218/ /pubmed/29432527 http://dx.doi.org/10.1093/gigascience/giy004 Text en © The Authors 2018. Published by Oxford University Press. 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 | Technical Note Foulon, Chris Cerliani, Leonardo Kinkingnéhun, Serge Levy, Richard Rosso, Charlotte Urbanski, Marika Volle, Emmanuelle Thiebaut de Schotten, Michel Advanced lesion symptom mapping analyses and implementation as BCBtoolkit |
title | Advanced lesion symptom mapping analyses and implementation as BCBtoolkit |
title_full | Advanced lesion symptom mapping analyses and implementation as BCBtoolkit |
title_fullStr | Advanced lesion symptom mapping analyses and implementation as BCBtoolkit |
title_full_unstemmed | Advanced lesion symptom mapping analyses and implementation as BCBtoolkit |
title_short | Advanced lesion symptom mapping analyses and implementation as BCBtoolkit |
title_sort | advanced lesion symptom mapping analyses and implementation as bcbtoolkit |
topic | Technical Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5863218/ https://www.ncbi.nlm.nih.gov/pubmed/29432527 http://dx.doi.org/10.1093/gigascience/giy004 |
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