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Exploring randomness in autism

INTRODUCTION: The fast, intuitive and autonomous system 1 along with the slow, analytical and more logical system 2 constitute the dual system processing model of decision making. Whether acting independently or influencing each other both systems would, to an extent, rely on randomness in order to...

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Autores principales: Mantas, Vasileios, Kotoula, Vasileia, Pehlivanidis, Artemios
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10389071/
https://www.ncbi.nlm.nih.gov/pubmed/37529214
http://dx.doi.org/10.7717/peerj.15751
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author Mantas, Vasileios
Kotoula, Vasileia
Pehlivanidis, Artemios
author_facet Mantas, Vasileios
Kotoula, Vasileia
Pehlivanidis, Artemios
author_sort Mantas, Vasileios
collection PubMed
description INTRODUCTION: The fast, intuitive and autonomous system 1 along with the slow, analytical and more logical system 2 constitute the dual system processing model of decision making. Whether acting independently or influencing each other both systems would, to an extent, rely on randomness in order to reach a decision. The role of randomness, however, would be more pronounced when arbitrary choices need to be made, typically engaging system 1. The present exploratory study aims to capture the expression of a possible innate randomness mechanism, as proposed by the authors, by trying to isolate system 1 and examine arbitrary decision making in autistic participants with high functioning Autism Spectrum Disorders (ASD). METHODS: Autistic participants withhigh functioning ASD and an age and gender matched comparison group performed the random number generation task. The task was modified to limit the contribution of working memory and allow any innate randomness mechanisms expressed through system 1, to emerge. RESULTS: Utilizing a standard analyses approach, the random number sequences produced by autistic individuals and the comparison group did not differ in their randomness characteristics. No significant differences were identified when the sequences were examined using a moving window approach. When machine learning was used, random sequences’ features could discriminate the groups with relatively high accuracy. CONCLUSIONS: Our findings indicate the possibility that individual patterns during random sequence production could be consistent enough between groups to allow for an accurate discrimination between the autistic and the comparison group. In order to draw firm conclusions around innate randomness and further validate our experiment, our findings need to be replicated in a bigger sample.
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spelling pubmed-103890712023-08-01 Exploring randomness in autism Mantas, Vasileios Kotoula, Vasileia Pehlivanidis, Artemios PeerJ Psychiatry and Psychology INTRODUCTION: The fast, intuitive and autonomous system 1 along with the slow, analytical and more logical system 2 constitute the dual system processing model of decision making. Whether acting independently or influencing each other both systems would, to an extent, rely on randomness in order to reach a decision. The role of randomness, however, would be more pronounced when arbitrary choices need to be made, typically engaging system 1. The present exploratory study aims to capture the expression of a possible innate randomness mechanism, as proposed by the authors, by trying to isolate system 1 and examine arbitrary decision making in autistic participants with high functioning Autism Spectrum Disorders (ASD). METHODS: Autistic participants withhigh functioning ASD and an age and gender matched comparison group performed the random number generation task. The task was modified to limit the contribution of working memory and allow any innate randomness mechanisms expressed through system 1, to emerge. RESULTS: Utilizing a standard analyses approach, the random number sequences produced by autistic individuals and the comparison group did not differ in their randomness characteristics. No significant differences were identified when the sequences were examined using a moving window approach. When machine learning was used, random sequences’ features could discriminate the groups with relatively high accuracy. CONCLUSIONS: Our findings indicate the possibility that individual patterns during random sequence production could be consistent enough between groups to allow for an accurate discrimination between the autistic and the comparison group. In order to draw firm conclusions around innate randomness and further validate our experiment, our findings need to be replicated in a bigger sample. PeerJ Inc. 2023-07-28 /pmc/articles/PMC10389071/ /pubmed/37529214 http://dx.doi.org/10.7717/peerj.15751 Text en ©2023 Mantas et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Psychiatry and Psychology
Mantas, Vasileios
Kotoula, Vasileia
Pehlivanidis, Artemios
Exploring randomness in autism
title Exploring randomness in autism
title_full Exploring randomness in autism
title_fullStr Exploring randomness in autism
title_full_unstemmed Exploring randomness in autism
title_short Exploring randomness in autism
title_sort exploring randomness in autism
topic Psychiatry and Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10389071/
https://www.ncbi.nlm.nih.gov/pubmed/37529214
http://dx.doi.org/10.7717/peerj.15751
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