Wei Shan
Jing Luan
Richard Evans- 1School of Economics and Management, Beihang University, Beijing, China
- 2School of Economics and Management, Beijing Jiaotong University, Beijing, China
- 3College of Digital Transformation, Faculty of Computer Science, Dalhousie University, Halifax, NS, Canada
Editorial on the Research Topic
Exploration of decision neuroscience research in the digital era
1 Introduction
The digital era has revolutionized the way we study human decision-making. Advances in neuroimaging, computational modeling, and machine learning have provided insights into these complex processes. This Research Topic, “Exploration of Decision Neuroscience Research in the Digital Era”, brings together cutting-edge studies that leverage modern technologies—such as eye-tracking, neuroimaging, digital dynamic assessment, and generative narrative survey—to examine the neural and behavioral underpinnings of decision-making.
2 Contributions to the Research Topic
The articles featured in this Research Topic illustrate the breadth of current approaches: Huang et al. introduced a maze-based digital assessment paradigm to detect early cognitive decline in Parkinson's disease; Wong et al. applied generative narrative surveys to capture real-world decision-making in varied social contexts; Zhou et al. employed eye-tracking to study intertemporal loss decisions; and Horr et al. demonstrated how machine learning applied to EEG signals can accurately predict online purchasing behavior.
Author contributions
WS: Writing – review & editing, Writing – original draft. JL: Writing – review & editing, Writing – original draft. RE: Writing – review & editing, Writing – original draft.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Generative AI statement
The author(s) declare that no Gen AI was used in the creation of this manuscript.
Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.
Publisher's note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Keywords: digital era, decision neuroscience, decision-making scenarios, behavior, multimodal
Citation: Shan W, Luan J and Evans R (2025) Editorial: Exploration of decision neuroscience research in the digital era. Front. Psychol. 16:1682163. doi: 10.3389/fpsyg.2025.1682163
Received: 08 August 2025; Accepted: 05 September 2025;
Published: 30 October 2025.
Edited and reviewed by: Carolyn Yoon, University of Michigan, United States
Copyright © 2025 Shan, Luan and Evans. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Wei Shan, c2hhbndlaUBidWFhLmVkdS5jbg==