EDITORIAL article
Front. Psychol.
Sec. Decision Neuroscience
Volume 16 - 2025 | doi: 10.3389/fpsyg.2025.1682163
This article is part of the Research TopicExploration of Decision Neuroscience Research in the Digital EraView all 5 articles
Editorial: Exploration of Decision Neuroscience Research in the Digital Era
Provisionally accepted
- 1Beihang University, Beijing, China
- 2Beijing Jiaotong University, Beijing, China
- 3Dalhousie University, Halifax, Canada
Select one of your emails
You have multiple emails registered with Frontiers:
Notify me on publication
Please enter your email address:
If you already have an account, please login
You don't have a Frontiers account ? You can register here
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 the complex processes of decision making. 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 collection illustrate the breadth of current approaches: Huang et al (2025) introduce a maze-based digital assessment paradigm to detect early cognitive decline in Parkinson's disease; Wong et al. (2024) apply generative narrative surveys to capture real-world decision-making in varied social contexts; Zhou et al. (2024) employ eye-tracking to study intertemporal loss decisions; and Horr et al. (2023) demonstrate how machine learning applied to EEG signals can accurately predict online purchasing behavior.
Keywords: Digital era, decision neuroscience, Decision-making scenarios, Behavior, multimodal
Received: 08 Aug 2025; Accepted: 05 Sep 2025.
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) or licensor 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, Beihang University, Beijing, China
Disclaimer: 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.