Conceptualisation of Uncertainty in Decision Neuroscience Research: Do We Really Know What Types of Uncertainties The Measured Neural Correlates Relate To?
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| Title: | Conceptualisation of Uncertainty in Decision Neuroscience Research: Do We Really Know What Types of Uncertainties The Measured Neural Correlates Relate To? |
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| Authors: | Müller, Michal (AUTHOR), Adámek, Petr (AUTHOR), Kotherová, Silvie (AUTHOR), Petrů, Marek (AUTHOR), Bubík, Tomáš (AUTHOR), Daušová, Anna (AUTHOR), Pelíšková, Leona (AUTHOR) |
| Source: | Integrative Psychological & Behavioral Science. Mar2023, Vol. 57 Issue 1, p88-116. 29p. 1 Diagram, 5 Charts. |
| Subjects: | Economic uncertainty, Neurosciences, Decision making, Social services |
| Abstract: | In the article "What are neural correlates neural correlates of?" published in the journal BioSocieties, Gabriel Abend points out that neuroscientists cannot avoid philosophical questions concerning the conceptualization and operationalization of social-psychological phenomena they deal with at the physiological level. In this article, we build on Abend's thesis and, through a systematic literature review of decision neuroscience studies, test it with the example of the social-psychological phenomenon of uncertainty in decision making. In this paper, we provide an overview of studies that appropriately attempt to conceptualise uncertainty, and then use these studies to analyse papers looking for neural correlates of uncertainty. Based on a systematic review of studies, we investigate what types of uncertainty authors in the field of decision neuroscience address and define, what criteria they use to distinguish between these types, what problems are associated with their conceptualization, and whether the neural correlates of different types of uncertainty can be accurately identified. The paper concludes that, particularly in the economic context, a collaboration between the natural and social sciences works well, and neuroscience studies use economic conceptualizations of uncertainty that are further developed by sophisticated decision tasks. However, the paper also highlights problematic aspects that obscure the understanding of the phenomena under study. These include the lack of criteria for distinguishing between different types of phenomena, the unclear use of the general concept of uncertainty, and the confusion of phenomena or their erroneous synonymous use. [ABSTRACT FROM AUTHOR] |
| Copyright of Integrative Psychological & Behavioral Science is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 161234851 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Conceptualisation of Uncertainty in Decision Neuroscience Research: Do We Really Know What Types of Uncertainties The Measured Neural Correlates Relate To? – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Müller%2C+Michal%22">Müller, Michal</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Adámek%2C+Petr%22">Adámek, Petr</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kotherová%2C+Silvie%22">Kotherová, Silvie</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Petrů%2C+Marek%22">Petrů, Marek</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bubík%2C+Tomáš%22">Bubík, Tomáš</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Daušová%2C+Anna%22">Daušová, Anna</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Pelíšková%2C+Leona%22">Pelíšková, Leona</searchLink> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Integrative+Psychological+%26+Behavioral+Science%22">Integrative Psychological & Behavioral Science</searchLink>. Mar2023, Vol. 57 Issue 1, p88-116. 29p. 1 Diagram, 5 Charts. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Economic+uncertainty%22">Economic uncertainty</searchLink><br /><searchLink fieldCode="DE" term="%22Neurosciences%22">Neurosciences</searchLink><br /><searchLink fieldCode="DE" term="%22Decision+making%22">Decision making</searchLink><br /><searchLink fieldCode="DE" term="%22Social+services%22">Social services</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: In the article "What are neural correlates neural correlates of?" published in the journal BioSocieties, Gabriel Abend points out that neuroscientists cannot avoid philosophical questions concerning the conceptualization and operationalization of social-psychological phenomena they deal with at the physiological level. In this article, we build on Abend's thesis and, through a systematic literature review of decision neuroscience studies, test it with the example of the social-psychological phenomenon of uncertainty in decision making. In this paper, we provide an overview of studies that appropriately attempt to conceptualise uncertainty, and then use these studies to analyse papers looking for neural correlates of uncertainty. Based on a systematic review of studies, we investigate what types of uncertainty authors in the field of decision neuroscience address and define, what criteria they use to distinguish between these types, what problems are associated with their conceptualization, and whether the neural correlates of different types of uncertainty can be accurately identified. The paper concludes that, particularly in the economic context, a collaboration between the natural and social sciences works well, and neuroscience studies use economic conceptualizations of uncertainty that are further developed by sophisticated decision tasks. However, the paper also highlights problematic aspects that obscure the understanding of the phenomena under study. These include the lack of criteria for distinguishing between different types of phenomena, the unclear use of the general concept of uncertainty, and the confusion of phenomena or their erroneous synonymous use. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Integrative Psychological & Behavioral Science is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s12124-022-09719-y Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 29 StartPage: 88 Subjects: – SubjectFull: Economic uncertainty Type: general – SubjectFull: Neurosciences Type: general – SubjectFull: Decision making Type: general – SubjectFull: Social services Type: general Titles: – TitleFull: Conceptualisation of Uncertainty in Decision Neuroscience Research: Do We Really Know What Types of Uncertainties The Measured Neural Correlates Relate To? Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Müller, Michal – PersonEntity: Name: NameFull: Adámek, Petr – PersonEntity: Name: NameFull: Kotherová, Silvie – PersonEntity: Name: NameFull: Petrů, Marek – PersonEntity: Name: NameFull: Bubík, Tomáš – PersonEntity: Name: NameFull: Daušová, Anna – PersonEntity: Name: NameFull: Pelíšková, Leona IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 19324502 Numbering: – Type: volume Value: 57 – Type: issue Value: 1 Titles: – TitleFull: Integrative Psychological & Behavioral Science Type: main |
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