Literature DB >> 35943682

Conceptualisation of Uncertainty in Decision Neuroscience Research: Do We Really Know What Types of Uncertainties The Measured Neural Correlates Relate To?

Michal Müller1, Petr Adámek2,3, Silvie Kotherová2, Marek Petrů2,4, Tomáš Bubík2, Anna Daušová2, Leona Pelíšková2.   

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.
© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Ambiguity; Decision neuroscience; Neural correlates; Neuroeconomics; Risk; Uncertainty

Year:  2022        PMID: 35943682     DOI: 10.1007/s12124-022-09719-y

Source DB:  PubMed          Journal:  Integr Psychol Behav Sci        ISSN: 1932-4502            Impact factor:   1.156


  71 in total

1.  The cerebellum and decision making under uncertainty.

Authors:  Nigel Blackwood; Dominic Ffytche; Andrew Simmons; Richard Bentall; Robin Murray; Robert Howard
Journal:  Brain Res Cogn Brain Res       Date:  2004-06

Review 2.  Risk and risk prediction error signals in anterior insula.

Authors:  Peter Bossaerts
Journal:  Brain Struct Funct       Date:  2010-05-29       Impact factor: 3.270

3.  Nonlinear neurobiological probability weighting functions for aversive outcomes.

Authors:  Gregory S Berns; C Monica Capra; Jonathan Chappelow; Sara Moore; Charles Noussair
Journal:  Neuroimage       Date:  2007-11-01       Impact factor: 6.556

4.  Electrophysiological correlates of decision making under varying levels of uncertainty.

Authors:  Amy R Bland; Alexandre Schaefer
Journal:  Brain Res       Date:  2011-08-22       Impact factor: 3.252

5.  Neural Mechanisms Underlying Risk and Ambiguity Attitudes.

Authors:  Neeltje E Blankenstein; Jiska S Peper; Eveline A Crone; Anna C K van Duijvenvoorde
Journal:  J Cogn Neurosci       Date:  2017-07-07       Impact factor: 3.225

6.  Comfort for uncertainty in pathological gamblers: a fMRI study.

Authors:  Damien Brevers; Antoine Bechara; Laurent Hermoye; Luisa Divano; Charles Kornreich; Paul Verbanck; Xavier Noël
Journal:  Behav Brain Res       Date:  2014-09-30       Impact factor: 3.332

7.  Contextual information resolves uncertainty about ambiguous facial emotions: Behavioral and magnetoencephalographic correlates.

Authors:  Florian Bublatzky; Fatih Kavcıoğlu; Pedro Guerra; Sarah Doll; Markus Junghöfer
Journal:  Neuroimage       Date:  2020-04-07       Impact factor: 6.556

8.  Striatal topography of probability and magnitude information for decisions under uncertainty.

Authors:  Gregory S Berns; Emily Bell
Journal:  Neuroimage       Date:  2011-11-12       Impact factor: 6.556

9.  The known unknowns: neural representation of second-order uncertainty, and ambiguity.

Authors:  Dominik R Bach; Oliver Hulme; William D Penny; Raymond J Dolan
Journal:  J Neurosci       Date:  2011-03-30       Impact factor: 6.167

10.  Different varieties of uncertainty in human decision-making.

Authors:  Amy R Bland; Alexandre Schaefer
Journal:  Front Neurosci       Date:  2012-06-08       Impact factor: 4.677

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