Editorial: Exploration of Decision Neuroscience Research in the Digital Era

Wei Shan^1*Jing Luan²Richard David Evans³

• ¹Beihang University, Beijing, China
• ²Beijing Jiaotong University, Beijing, China
• ³Dalhousie University, Halifax, Canada

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.