Wenger Michael J, Townsend James T, Newbolds Sarah F
Psychology, Cellular & Behavioral Neurobiology, The University of Oklahoma, Norman, OK, USA.
Psychological and Brain Sciences, Indiana University, Bloomington, IN, USA.
Cogn Affect Behav Neurosci. 2025 May 22. doi: 10.3758/s13415-025-01311-2.
Perceptual and cognitive effort require the expenditure of brain energy, and the efficiency of that energy expenditure can vary as a function of a range of exogenous and endogenous factors. The same is true for physical work, and tools have been developed to quantify energetic efficiency in the performance of physical work. The same is not true for the study of perceptual and cognitive effort. Here we draw on two lines of research - the formal characterization of workload capacity in perception and cognition, and the study of physical work - to propose a novel measure of neurocognitive efficiency. This neurocognitive efficiency score (NES) combines reaction time data with measures on concurrently acquired electroencephalographic (EEG) data to form a ratio that can be interpreted in terms of work accomplished relative to energy expended. We consider three measures on the EEG and show that one of them - global field power (GFP) - evidences a strong relationship to measures of metabolic energy expended. We then show how the NES can provide insights into differences in perceptual performance as a function of biological state. We argue that the NES has the potential for a wide range of applications in the study of effort exerted in perception and cognition in the context of factors including (but not limited to) aging, disease, stress, and differences in levels of expertise.
感知和认知努力需要消耗大脑能量,而这种能量消耗的效率会因一系列外源性和内源性因素而有所不同。体力工作也是如此,人们已经开发出工具来量化体力工作表现中的能量效率。但在感知和认知努力的研究中却并非如此。在此,我们借鉴两条研究路线——感知和认知中工作负荷能力的形式化表征以及体力工作的研究——来提出一种新的神经认知效率测量方法。这种神经认知效率得分(NES)将反应时间数据与同时采集的脑电图(EEG)数据的测量值相结合,形成一个比率,该比率可以根据相对于能量消耗所完成的工作来解释。我们考虑了脑电图的三种测量方法,并表明其中一种——全局场功率(GFP)——与代谢能量消耗的测量值有很强的关系。然后我们展示了NES如何能够洞察作为生物状态函数的感知表现差异。我们认为NES在研究包括(但不限于)衰老、疾病、压力和专业水平差异等因素背景下的感知和认知努力方面具有广泛的应用潜力。