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Biased numerical cognition impairs economic decision‐making in Parkinson's disease

OBJECTIVE: Previous findings suggest a context‐dependent bihemispheric allocation of numerical magnitude. Accordingly, we predicted that lateralized motor symptoms in Parkinson's disease (PD), which reflect hemispheric asymmetries, would induce systematic lateralized biases in numerical cogniti...

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Autores principales: Arshad, Qadeer, Bonsu, Angela, Lobo, Rhannon, Fluri, Anne‐Sophie, Sheriff, Rahuman, Bain, Peter, Pavese, Nicola, Bronstein, Adolfo M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5634350/
https://www.ncbi.nlm.nih.gov/pubmed/29046882
http://dx.doi.org/10.1002/acn3.449
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author Arshad, Qadeer
Bonsu, Angela
Lobo, Rhannon
Fluri, Anne‐Sophie
Sheriff, Rahuman
Bain, Peter
Pavese, Nicola
Bronstein, Adolfo M.
author_facet Arshad, Qadeer
Bonsu, Angela
Lobo, Rhannon
Fluri, Anne‐Sophie
Sheriff, Rahuman
Bain, Peter
Pavese, Nicola
Bronstein, Adolfo M.
author_sort Arshad, Qadeer
collection PubMed
description OBJECTIVE: Previous findings suggest a context‐dependent bihemispheric allocation of numerical magnitude. Accordingly, we predicted that lateralized motor symptoms in Parkinson's disease (PD), which reflect hemispheric asymmetries, would induce systematic lateralized biases in numerical cognition and have a subsequent influence on decision‐making. METHODS: In 20 PD patients and matched healthy controls we assessed numerical cognition using a number‐pair bisection and random number generation task. Decision‐making was assessed using both the dictator game and a validated questionnaire. RESULTS: PD patients with predominant right‐sided motor symptoms exhibited pathological biases toward smaller numerical magnitudes and formulated less favorable prosocial choices during a neuroeconomics task (i.e., dictator game). Conversely, patients with left‐sided motor symptoms exhibited pathological biases toward larger numerical magnitudes and formulated more generous prosocial choices. Our account of context‐dependent hemispheric allocation of numerical magnitude in PD was corroborated by applying our data to a pre‐existing computational model and observing significant concordance. Notably, both numerical biasing and impaired decision‐making were correlated with motor asymmetry. INTERPRETATION: Accordingly, motor asymmetry and functional impairment of cognitive processes in PD can be functionally intertwined. To conclude, our findings demonstrate context‐dependent hemispheric allocation and encoding of numerical magnitude in PD and how biases in numerical magnitude allocation in Parkinsonian patients can correspondingly impair economic decision‐making.
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spelling pubmed-56343502017-10-18 Biased numerical cognition impairs economic decision‐making in Parkinson's disease Arshad, Qadeer Bonsu, Angela Lobo, Rhannon Fluri, Anne‐Sophie Sheriff, Rahuman Bain, Peter Pavese, Nicola Bronstein, Adolfo M. Ann Clin Transl Neurol Research Articles OBJECTIVE: Previous findings suggest a context‐dependent bihemispheric allocation of numerical magnitude. Accordingly, we predicted that lateralized motor symptoms in Parkinson's disease (PD), which reflect hemispheric asymmetries, would induce systematic lateralized biases in numerical cognition and have a subsequent influence on decision‐making. METHODS: In 20 PD patients and matched healthy controls we assessed numerical cognition using a number‐pair bisection and random number generation task. Decision‐making was assessed using both the dictator game and a validated questionnaire. RESULTS: PD patients with predominant right‐sided motor symptoms exhibited pathological biases toward smaller numerical magnitudes and formulated less favorable prosocial choices during a neuroeconomics task (i.e., dictator game). Conversely, patients with left‐sided motor symptoms exhibited pathological biases toward larger numerical magnitudes and formulated more generous prosocial choices. Our account of context‐dependent hemispheric allocation of numerical magnitude in PD was corroborated by applying our data to a pre‐existing computational model and observing significant concordance. Notably, both numerical biasing and impaired decision‐making were correlated with motor asymmetry. INTERPRETATION: Accordingly, motor asymmetry and functional impairment of cognitive processes in PD can be functionally intertwined. To conclude, our findings demonstrate context‐dependent hemispheric allocation and encoding of numerical magnitude in PD and how biases in numerical magnitude allocation in Parkinsonian patients can correspondingly impair economic decision‐making. John Wiley and Sons Inc. 2017-09-08 /pmc/articles/PMC5634350/ /pubmed/29046882 http://dx.doi.org/10.1002/acn3.449 Text en © 2017 The Authors. Annals of Clinical and Translational Neurology published by Wiley Periodicals, Inc on behalf of American Neurological Association. This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐NoDerivs (http://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Research Articles
Arshad, Qadeer
Bonsu, Angela
Lobo, Rhannon
Fluri, Anne‐Sophie
Sheriff, Rahuman
Bain, Peter
Pavese, Nicola
Bronstein, Adolfo M.
Biased numerical cognition impairs economic decision‐making in Parkinson's disease
title Biased numerical cognition impairs economic decision‐making in Parkinson's disease
title_full Biased numerical cognition impairs economic decision‐making in Parkinson's disease
title_fullStr Biased numerical cognition impairs economic decision‐making in Parkinson's disease
title_full_unstemmed Biased numerical cognition impairs economic decision‐making in Parkinson's disease
title_short Biased numerical cognition impairs economic decision‐making in Parkinson's disease
title_sort biased numerical cognition impairs economic decision‐making in parkinson's disease
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5634350/
https://www.ncbi.nlm.nih.gov/pubmed/29046882
http://dx.doi.org/10.1002/acn3.449
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