休息(音乐)
心理学
可解释性
透视图(图形)
认知科学
认知心理学
神经影像学
静息状态功能磁共振成像
任务(项目管理)
神经科学
计算机科学
人工智能
医学
经济
心脏病学
管理
标识
DOI:10.1016/j.tics.2021.09.005
摘要
The so-called resting state, in which participants lie quietly with no particular inputs or outputs, represented a paradigm shift from conventional task-based studies in human neuroimaging. Our foray into rest was fruitful from both a scientific and methodological perspective, but at this point, how much more can we learn from rest on its own? While rest still dominates in many subfields, data from tasks have empirically demonstrated benefits, as well as the potential to provide insights about the mind in addition to the brain. I argue that we can accelerate progress in human neuroscience by de-emphasizing rest in favor of more grounded experiments, including promising integrated designs that respect the prominence of self-generated activity while offering enhanced control and interpretability.
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