| Literature DB >> 34423178 |
Yizhen Zhang1, Jung-Hoon Kim2,3, David Brang4, Zhongming Liu1,2.
Abstract
Movies, audio stories, and virtual reality are increasingly used as stimuli for functional brain imaging. Such naturalistic paradigms are in sharp contrast to the tradition of experimental reductionism in neuroscience research. Being complex, dynamic, and diverse, naturalistic stimuli set up a more ecologically relevant condition and induce highly reproducible brain responses across a wide range of spatiotemporal scales. Here, we review recent technical advances and scientific findings on imaging the brain under naturalistic stimuli. Then we elaborate on the premise of using naturalistic paradigms for multi-scale, multi-modal, and high-throughput functional characterization of the human brain. We further highlight the growing potential of using deep learning models to infer neural information processing from brain responses to naturalistic stimuli. Lastly, we advocate large-scale collaborations to combine brain imaging and recording data across experiments, subjects, and labs that use the same set of naturalistic stimuli.Entities:
Year: 2021 PMID: 34423178 PMCID: PMC8376216 DOI: 10.1016/j.cobme.2021.100298
Source DB: PubMed Journal: Curr Opin Biomed Eng ISSN: 2468-4511