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高级认知的神经增强:非侵入性脑刺激稳态限制的证据。

Neuroenhancement of High-Level Cognition: Evidence for Homeostatic Constraints of Non-invasive Brain Stimulation.

作者信息

Krause Beatrix, Dresler Martin, Looi Chung Yen, Sarkar Amar, Cohen Kadosh Roi

机构信息

1Department of Experimental Psychology, University of Oxford, Oxford, UK.

2Late-Life Mood, Stress, and Wellness Research Program, Semel Insitute for Neuroscience and Human Behavior, Geffen School of Medicine at UCLA, 760 Westwood Plaza, Los Angeles, CA 90095 USA.

出版信息

J Cogn Enhanc. 2019;3(4):388-395. doi: 10.1007/s41465-019-00126-7. Epub 2019 Feb 21.

Abstract

Neuroenhancement aims to improve cognitive performance in typically and atypically functioning populations. However, it is currently debated whether it is also effective in exceptionally high-functioning individuals. Present theories suggest that homeostatic set points for learning and cortical plasticity limit the beneficial effects of neuroenhancement. To examine this possibility, we used transcranial random noise stimulation (tRNS) to non-invasively stimulate bilateral dorsolateral prefrontal cortices (DLPFC) of the world champion in mental calculation, G.M. TRNS did not change G.M.'s calculation performance compared to sham stimulation on an exceptionally complex arithmetic task. However, a sample of mathematicians who were not calculation prodigies ( = 6) showed reduced accuracy on a complex multiplication task in response to tRNS, relative to sham. Our findings suggest that there may be an upper limit for cognitive enhancement and that further attempts to enhance performance using tRNS (at least with the current parameters) may impair optimal functioning. The discussion of potential negative effects of brain stimulation for cognitive enhancement is critical, as it may lead to unintended impairments in different subgroups of the population.

摘要

神经增强旨在提高正常和异常功能人群的认知表现。然而,目前对于它在功能极其卓越的个体中是否也有效存在争议。目前的理论认为,学习和皮质可塑性的稳态设定点限制了神经增强的有益效果。为了检验这种可能性,我们使用经颅随机噪声刺激(tRNS)对心算世界冠军G.M.的双侧背外侧前额叶皮层(DLPFC)进行非侵入性刺激。在一项极其复杂的算术任务中,与假刺激相比,tRNS并未改变G.M.的计算表现。然而,一组并非心算神童的数学家(n = 6)在一项复杂乘法任务中,相对于假刺激,对tRNS的反应显示准确性降低。我们的研究结果表明,认知增强可能存在上限,并且进一步尝试使用tRNS(至少在当前参数下)来提高表现可能会损害最佳功能。对用于认知增强的脑刺激潜在负面影响的讨论至关重要,因为它可能导致不同人群亚组出现意外损害。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a49/7055575/6746f0fd8f36/41465_2019_126_Fig1_HTML.jpg

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