Editorial: Exploration of decision neuroscience research in the digital era
Wei Shan, Jing Luan, Richard Evans
Abstract
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Taxonomy
TopicsCognitive Functions and Memory · Dementia and Cognitive Impairment Research · Gaze Tracking and Assistive Technology
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.