Electroencephalography-guided transcranial direct current stimulation improves picture-naming performance

IF 4.7 2区 医学 Q1 NEUROIMAGING
Tomoya Gyoda , Ryuichiro Hashimoto , Satoru Inagaki , Nobuhiro Tsushi , Takashi Kitao , Ludovico Minati , Natsue Yoshimura
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引用次数: 0

Abstract

Transcranial direct current stimulation (tDCS) is a potential method for improving verbal function by stimulating Broca's area. Previous studies have shown the effectiveness of using functional magnetic resonance imaging (fMRI) to optimize the stimulation site, but it is unclear whether similar optimization can be achieved using scalp electroencephalography (EEG). Here, we investigated whether tDCS targeting a brain area identified by EEG can improve verbalization performance during a picture-naming task. In Experiment 1, EEG and fMRI data were acquired during a naming task with 21 participants. Comparison of EEG and fMRI data showed overlap in the highest areas of activation for 80% of the participants. In Experiment 2, tDCS was administered to 15 participants using a crossover design, with stimulation targeting the EEG-guided area, Broca's area, and sham conditions. Our findings indicated that tDCS targeting the EEG-guided area significantly improved lexical retrieval speed compared with stimulation over Broca's area and sham conditions. These results support the validity of EEG-based area identification and its use in optimizing the effects of tDCS on improving language function.
脑电图引导的经颅直流电刺激提高了图片命名能力。
经颅直流电刺激(tDCS)是一种通过刺激布洛卡区来改善语言功能的潜在方法。先前的研究表明,使用功能磁共振成像(fMRI)优化刺激部位是有效的,但尚不清楚是否可以使用头皮脑电图(EEG)实现类似的优化。在这里,我们研究了tDCS是否可以在脑电识别的大脑区域中提高图片命名任务中的语言表现。在实验1中,采集了21名参与者在命名任务中的EEG和fMRI数据。脑电图和功能磁共振成像数据的比较显示,80%的参与者在最高激活区域重叠。在实验2中,使用交叉设计对15名参与者进行tDCS,刺激针对脑电图引导区,布罗卡区和假手术条件。我们的研究结果表明,与刺激布洛卡区和假手术相比,针对脑电图引导区域的tDCS显著提高了词汇检索速度。这些结果支持基于脑电图的脑区识别方法的有效性,以及该方法在优化tDCS对语言功能改善效果方面的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
NeuroImage
NeuroImage 医学-核医学
CiteScore
11.30
自引率
10.50%
发文量
809
审稿时长
63 days
期刊介绍: NeuroImage, a Journal of Brain Function provides a vehicle for communicating important advances in acquiring, analyzing, and modelling neuroimaging data and in applying these techniques to the study of structure-function and brain-behavior relationships. Though the emphasis is on the macroscopic level of human brain organization, meso-and microscopic neuroimaging across all species will be considered if informative for understanding the aforementioned relationships.
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