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Planning Following Stroke: A Relational Complexity Approach Using the Tower of London
Planning on the 4-disk version of the Tower of London (TOL4) was examined in stroke patients and unimpaired controls. Overall TOL4 solution scores indicated impaired planning in the frontal stroke but not non-frontal stroke patients. Consistent with the claim that processing the relations between cu...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4274981/ https://www.ncbi.nlm.nih.gov/pubmed/25566042 http://dx.doi.org/10.3389/fnhum.2014.01032 |
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author | Andrews, Glenda Halford, Graeme S. Chappell, Mark Maujean, Annick Shum, David H. K. |
author_facet | Andrews, Glenda Halford, Graeme S. Chappell, Mark Maujean, Annick Shum, David H. K. |
author_sort | Andrews, Glenda |
collection | PubMed |
description | Planning on the 4-disk version of the Tower of London (TOL4) was examined in stroke patients and unimpaired controls. Overall TOL4 solution scores indicated impaired planning in the frontal stroke but not non-frontal stroke patients. Consistent with the claim that processing the relations between current states, intermediate states, and goal states is a key process in planning, the domain-general relational complexity metric was a good indicator of the experienced difficulty of TOL4 problems. The relational complexity metric shared variance with task-specific metrics of moves to solution and search depth. Frontal stroke patients showed impaired planning compared to controls on problems at all three complexity levels, but at only two of the three levels of moves to solution, search depth and goal ambiguity. Non-frontal stroke patients showed impaired planning only on the most difficult quaternary-relational and high search depth problems. An independent measure of relational processing (viz., Latin square task) predicted TOL4 solution scores after controlling for stroke status and location, and executive processing (Trail Making Test). The findings suggest that planning involves a domain-general capacity for relational processing that depends on the frontal brain regions. |
format | Online Article Text |
id | pubmed-4274981 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-42749812015-01-06 Planning Following Stroke: A Relational Complexity Approach Using the Tower of London Andrews, Glenda Halford, Graeme S. Chappell, Mark Maujean, Annick Shum, David H. K. Front Hum Neurosci Neuroscience Planning on the 4-disk version of the Tower of London (TOL4) was examined in stroke patients and unimpaired controls. Overall TOL4 solution scores indicated impaired planning in the frontal stroke but not non-frontal stroke patients. Consistent with the claim that processing the relations between current states, intermediate states, and goal states is a key process in planning, the domain-general relational complexity metric was a good indicator of the experienced difficulty of TOL4 problems. The relational complexity metric shared variance with task-specific metrics of moves to solution and search depth. Frontal stroke patients showed impaired planning compared to controls on problems at all three complexity levels, but at only two of the three levels of moves to solution, search depth and goal ambiguity. Non-frontal stroke patients showed impaired planning only on the most difficult quaternary-relational and high search depth problems. An independent measure of relational processing (viz., Latin square task) predicted TOL4 solution scores after controlling for stroke status and location, and executive processing (Trail Making Test). The findings suggest that planning involves a domain-general capacity for relational processing that depends on the frontal brain regions. Frontiers Media S.A. 2014-12-23 /pmc/articles/PMC4274981/ /pubmed/25566042 http://dx.doi.org/10.3389/fnhum.2014.01032 Text en Copyright © 2014 Andrews, Halford, Chappell, Maujean and Shum. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Andrews, Glenda Halford, Graeme S. Chappell, Mark Maujean, Annick Shum, David H. K. Planning Following Stroke: A Relational Complexity Approach Using the Tower of London |
title | Planning Following Stroke: A Relational Complexity Approach Using the Tower of London |
title_full | Planning Following Stroke: A Relational Complexity Approach Using the Tower of London |
title_fullStr | Planning Following Stroke: A Relational Complexity Approach Using the Tower of London |
title_full_unstemmed | Planning Following Stroke: A Relational Complexity Approach Using the Tower of London |
title_short | Planning Following Stroke: A Relational Complexity Approach Using the Tower of London |
title_sort | planning following stroke: a relational complexity approach using the tower of london |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4274981/ https://www.ncbi.nlm.nih.gov/pubmed/25566042 http://dx.doi.org/10.3389/fnhum.2014.01032 |
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