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The bridge between cognition and behavior in acquired brain injury: A graph theoretical approach
BACKGROUND: The assumption is that executive dysfunctions (EF), associated with frontal lobe injury, are responsible for behavioral disturbances. Some studies do not find a relationship between EF and behavior following frontal lobe lesions. Our main goal of this study was to use a novel statistical...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6422716/ https://www.ncbi.nlm.nih.gov/pubmed/30729721 http://dx.doi.org/10.1002/brb3.1208 |
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author | Jonker, Frank Weeda, Wouter Rauwerda, Kim Scherder, Erik |
author_facet | Jonker, Frank Weeda, Wouter Rauwerda, Kim Scherder, Erik |
author_sort | Jonker, Frank |
collection | PubMed |
description | BACKGROUND: The assumption is that executive dysfunctions (EF), associated with frontal lobe injury, are responsible for behavioral disturbances. Some studies do not find a relationship between EF and behavior following frontal lobe lesions. Our main goal of this study was to use a novel statistical method, graph theory, to analyze this relationship in different brain injury groups; frontal lobe damage, non‐frontal lobe damage, and controls. Within the frontal group, we expect to find a pattern of executive nodes that are highly interconnected. METHODS: For each group, we modeled the relationship between executive functions and behavior as a network of interdependent variables. The cognitive tests and the behavioral questionnaire are the “nodes” in the network, while the relationships between the nodes were modeled as the correlations between two nodes corrected for the correlation with all other nodes in the network. Sparse networks were estimated within each group using graphical LASSO. We analyzed the relative importance of the nodes within a network (centrality) and the clustering (modularity) of the different nodes. RESULTS: Network analysis showed distinct patterns of relationships between EF and behavior in the three subgroups. The performance on the verbal learning test is the most central node in all the networks. In the frontal group, verbal memory forms a community with working memory and fluency. The behavioral nodes do not differentiate between groups or form clusters with cognitive nodes. No other communities were found for cognitive and behavioral nodes. CONCLUSION: The cognitive phenotype of the frontal lobe damaged group, with its stability and proportion, might be theoretically interpreted as a potential “buffer” for possible cognitive executive deficits. This might explain some of the ambiguity found in the literature. This alternative approach on cognitive test scores provides a different and possibly complimentary perspective of the neuropsychology of brain‐injured patients. |
format | Online Article Text |
id | pubmed-6422716 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-64227162019-03-28 The bridge between cognition and behavior in acquired brain injury: A graph theoretical approach Jonker, Frank Weeda, Wouter Rauwerda, Kim Scherder, Erik Brain Behav Original Research BACKGROUND: The assumption is that executive dysfunctions (EF), associated with frontal lobe injury, are responsible for behavioral disturbances. Some studies do not find a relationship between EF and behavior following frontal lobe lesions. Our main goal of this study was to use a novel statistical method, graph theory, to analyze this relationship in different brain injury groups; frontal lobe damage, non‐frontal lobe damage, and controls. Within the frontal group, we expect to find a pattern of executive nodes that are highly interconnected. METHODS: For each group, we modeled the relationship between executive functions and behavior as a network of interdependent variables. The cognitive tests and the behavioral questionnaire are the “nodes” in the network, while the relationships between the nodes were modeled as the correlations between two nodes corrected for the correlation with all other nodes in the network. Sparse networks were estimated within each group using graphical LASSO. We analyzed the relative importance of the nodes within a network (centrality) and the clustering (modularity) of the different nodes. RESULTS: Network analysis showed distinct patterns of relationships between EF and behavior in the three subgroups. The performance on the verbal learning test is the most central node in all the networks. In the frontal group, verbal memory forms a community with working memory and fluency. The behavioral nodes do not differentiate between groups or form clusters with cognitive nodes. No other communities were found for cognitive and behavioral nodes. CONCLUSION: The cognitive phenotype of the frontal lobe damaged group, with its stability and proportion, might be theoretically interpreted as a potential “buffer” for possible cognitive executive deficits. This might explain some of the ambiguity found in the literature. This alternative approach on cognitive test scores provides a different and possibly complimentary perspective of the neuropsychology of brain‐injured patients. John Wiley and Sons Inc. 2019-02-06 /pmc/articles/PMC6422716/ /pubmed/30729721 http://dx.doi.org/10.1002/brb3.1208 Text en © 2019 The Authors. Brain and Behavior published by Wiley Periodicals, Inc. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Research Jonker, Frank Weeda, Wouter Rauwerda, Kim Scherder, Erik The bridge between cognition and behavior in acquired brain injury: A graph theoretical approach |
title | The bridge between cognition and behavior in acquired brain injury: A graph theoretical approach |
title_full | The bridge between cognition and behavior in acquired brain injury: A graph theoretical approach |
title_fullStr | The bridge between cognition and behavior in acquired brain injury: A graph theoretical approach |
title_full_unstemmed | The bridge between cognition and behavior in acquired brain injury: A graph theoretical approach |
title_short | The bridge between cognition and behavior in acquired brain injury: A graph theoretical approach |
title_sort | bridge between cognition and behavior in acquired brain injury: a graph theoretical approach |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6422716/ https://www.ncbi.nlm.nih.gov/pubmed/30729721 http://dx.doi.org/10.1002/brb3.1208 |
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