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

• Published in: Integrative psychological & behavioral science Vol. 57; no. 1; pp. 88 - 116
• Main Authors: Müller, Michal, Adámek, Petr, Kotherová, Silvie, Petru, Marek, Bubík, Tomás, Dausová, Anna, Pelísková, Leona
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.03.2023; Springer
• Subjects: Anthropology; Behavioral Science and Psychology; Concept Formation; Decision Making - physiology; Decision-making; Humans; Neurosciences; Psychology; Regular Article; Sociology; Uncertainty; Risk; Neuroeconomics; Uncertainty; Decision neuroscience; Neural correlates; Ambiguity
• ISSN: 1932-4502; 1936-3567
• DOI: 10.1007/s12124-022-09719-y

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.