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A Dynamic Framework for Modelling Set-Shifting Performances
Higher-order cognitive functions can be seen as a class of cognitive processes which are crucial in situations requiring a flexible adjustment of behaviour in response to changing demands of the environment. The cognitive assessment of these functions often relies on tasks which admit a dynamic, or...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6680592/ https://www.ncbi.nlm.nih.gov/pubmed/31323856 http://dx.doi.org/10.3390/bs9070079 |
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author | D’Alessandro, Marco Lombardi, Luigi |
author_facet | D’Alessandro, Marco Lombardi, Luigi |
author_sort | D’Alessandro, Marco |
collection | PubMed |
description | Higher-order cognitive functions can be seen as a class of cognitive processes which are crucial in situations requiring a flexible adjustment of behaviour in response to changing demands of the environment. The cognitive assessment of these functions often relies on tasks which admit a dynamic, or longitudinal, component requiring participants to flexibly adapt their behaviour during the unfolding of the task. An intriguing feature of such experimental protocols is that they allow the performance of an individual to change as the task unfolds. In this work, we propose a Latent Markov Model approach to capture some dynamic aspects of observed response patterns of both healthy and substance dependent individuals in a set-shifting task. In particular, data from a Wisconsin Card Sorting Test were analysed in order to represent performance trends in terms of latent cognitive states dynamics. The results highlighted how a dynamic modelling approach can considerably improve the amount of information a researcher, or a clinician, can obtain from the analysis of a set-shifting task. |
format | Online Article Text |
id | pubmed-6680592 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-66805922019-08-09 A Dynamic Framework for Modelling Set-Shifting Performances D’Alessandro, Marco Lombardi, Luigi Behav Sci (Basel) Article Higher-order cognitive functions can be seen as a class of cognitive processes which are crucial in situations requiring a flexible adjustment of behaviour in response to changing demands of the environment. The cognitive assessment of these functions often relies on tasks which admit a dynamic, or longitudinal, component requiring participants to flexibly adapt their behaviour during the unfolding of the task. An intriguing feature of such experimental protocols is that they allow the performance of an individual to change as the task unfolds. In this work, we propose a Latent Markov Model approach to capture some dynamic aspects of observed response patterns of both healthy and substance dependent individuals in a set-shifting task. In particular, data from a Wisconsin Card Sorting Test were analysed in order to represent performance trends in terms of latent cognitive states dynamics. The results highlighted how a dynamic modelling approach can considerably improve the amount of information a researcher, or a clinician, can obtain from the analysis of a set-shifting task. MDPI 2019-07-18 /pmc/articles/PMC6680592/ /pubmed/31323856 http://dx.doi.org/10.3390/bs9070079 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article D’Alessandro, Marco Lombardi, Luigi A Dynamic Framework for Modelling Set-Shifting Performances |
title | A Dynamic Framework for Modelling Set-Shifting Performances |
title_full | A Dynamic Framework for Modelling Set-Shifting Performances |
title_fullStr | A Dynamic Framework for Modelling Set-Shifting Performances |
title_full_unstemmed | A Dynamic Framework for Modelling Set-Shifting Performances |
title_short | A Dynamic Framework for Modelling Set-Shifting Performances |
title_sort | dynamic framework for modelling set-shifting performances |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6680592/ https://www.ncbi.nlm.nih.gov/pubmed/31323856 http://dx.doi.org/10.3390/bs9070079 |
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