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Neurobiological differences in mental rotation and instrument interpretation in airline pilots

Airline pilots and similar professions require reliable spatial cognition abilities, such as mental imagery of static and moving three-dimensional objects in space. A well-known task to investigate these skills is the Shepard and Metzler mental rotation task (SMT), which is also frequently used duri...

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Autores principales: Sladky, Ronald, Stepniczka, Irene, Boland, Edzard, Tik, Martin, Lamm, Claus, Hoffmann, André, Buch, Jan-Philipp, Niedermeier, Dominik, Field, Joris, Windischberger, Christian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4914984/
https://www.ncbi.nlm.nih.gov/pubmed/27323913
http://dx.doi.org/10.1038/srep28104
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author Sladky, Ronald
Stepniczka, Irene
Boland, Edzard
Tik, Martin
Lamm, Claus
Hoffmann, André
Buch, Jan-Philipp
Niedermeier, Dominik
Field, Joris
Windischberger, Christian
author_facet Sladky, Ronald
Stepniczka, Irene
Boland, Edzard
Tik, Martin
Lamm, Claus
Hoffmann, André
Buch, Jan-Philipp
Niedermeier, Dominik
Field, Joris
Windischberger, Christian
author_sort Sladky, Ronald
collection PubMed
description Airline pilots and similar professions require reliable spatial cognition abilities, such as mental imagery of static and moving three-dimensional objects in space. A well-known task to investigate these skills is the Shepard and Metzler mental rotation task (SMT), which is also frequently used during pre-assessment of pilot candidates. Despite the intuitive relationship between real-life spatial cognition and SMT, several studies have challenged its predictive value. Here we report on a novel instrument interpretation task (IIT) based on a realistic attitude indicator used in modern aircrafts that was designed to bridge the gap between the abstract SMT and a cockpit environment. We investigated 18 professional airline pilots using fMRI. No significant correlation was found between SMT and IIT task accuracies. Contrasting both tasks revealed higher activation in the fusiform gyrus, angular gyrus, and medial precuneus for IIT, whereas SMT elicited significantly stronger activation in pre- and supplementary motor areas, as well as lateral precuneus and superior parietal lobe. Our results show that SMT skills per se are not sufficient to predict task accuracy during (close to) real-life instrument interpretation. While there is a substantial overlap of activation across the task conditions, we found that there are important differences between instrument interpretation and non-aviation based mental rotation.
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spelling pubmed-49149842016-06-27 Neurobiological differences in mental rotation and instrument interpretation in airline pilots Sladky, Ronald Stepniczka, Irene Boland, Edzard Tik, Martin Lamm, Claus Hoffmann, André Buch, Jan-Philipp Niedermeier, Dominik Field, Joris Windischberger, Christian Sci Rep Article Airline pilots and similar professions require reliable spatial cognition abilities, such as mental imagery of static and moving three-dimensional objects in space. A well-known task to investigate these skills is the Shepard and Metzler mental rotation task (SMT), which is also frequently used during pre-assessment of pilot candidates. Despite the intuitive relationship between real-life spatial cognition and SMT, several studies have challenged its predictive value. Here we report on a novel instrument interpretation task (IIT) based on a realistic attitude indicator used in modern aircrafts that was designed to bridge the gap between the abstract SMT and a cockpit environment. We investigated 18 professional airline pilots using fMRI. No significant correlation was found between SMT and IIT task accuracies. Contrasting both tasks revealed higher activation in the fusiform gyrus, angular gyrus, and medial precuneus for IIT, whereas SMT elicited significantly stronger activation in pre- and supplementary motor areas, as well as lateral precuneus and superior parietal lobe. Our results show that SMT skills per se are not sufficient to predict task accuracy during (close to) real-life instrument interpretation. While there is a substantial overlap of activation across the task conditions, we found that there are important differences between instrument interpretation and non-aviation based mental rotation. Nature Publishing Group 2016-06-21 /pmc/articles/PMC4914984/ /pubmed/27323913 http://dx.doi.org/10.1038/srep28104 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Sladky, Ronald
Stepniczka, Irene
Boland, Edzard
Tik, Martin
Lamm, Claus
Hoffmann, André
Buch, Jan-Philipp
Niedermeier, Dominik
Field, Joris
Windischberger, Christian
Neurobiological differences in mental rotation and instrument interpretation in airline pilots
title Neurobiological differences in mental rotation and instrument interpretation in airline pilots
title_full Neurobiological differences in mental rotation and instrument interpretation in airline pilots
title_fullStr Neurobiological differences in mental rotation and instrument interpretation in airline pilots
title_full_unstemmed Neurobiological differences in mental rotation and instrument interpretation in airline pilots
title_short Neurobiological differences in mental rotation and instrument interpretation in airline pilots
title_sort neurobiological differences in mental rotation and instrument interpretation in airline pilots
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4914984/
https://www.ncbi.nlm.nih.gov/pubmed/27323913
http://dx.doi.org/10.1038/srep28104
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