Transcranial alternating current stimulation affects several alpha components depending on their frequencies relative to the stimulation frequency
Transcranial alternating current stimulation affects several alpha components depending on their frequencies relative to the stimulation frequency
复制标题
经颅交流电刺激会影响几个阿尔法分量,具体取决于它们相对于刺激频率的频率
DOI:
10.1101/2023.02.08.527578
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发表时间:
2023
期刊:
影响因子:
--
通讯作者:
Amano Kaoru
中科院分区:
文献类型:
--
作者:
Shibusawa Shuka;Kawashima Tomoya;Amano Kaoru
BackgroundThe aftereffects of transcranial alternating current stimulation (tACS), especially targeting occipital alpha oscillations, have been reported to show large individual differences in behavioural effects and neural responsiveness. We predicted that this variance at least partly originates from the fact that multiple alpha components are affected differently by alpha-tACS.ObjectiveTo test the above prediction, we decomposed several alpha components from the data and evaluated the aftereffects separately for each component and participant. More specifically, we tested how the difference between the stimulation frequency and peak frequency influences the aftereffects of tACS on each alpha component.MethodsEighteen participants received 20-min tACS or sham stimulation on separate days. Ten minutes of magnetoencephalography data were collected before and after stimulation, and spectral analysis was performed with a high-frequency resolution (0.1 Hz) to disentangle different alpha components based on the difference in peak frequencies and spatial patterns. Results: The results revealed three alpha components with slightly different frequencies. tACS increased or decreased the power of these alpha components depending on the relative frequency difference from electrical stimulation. Furthermore, observable components differed among participants, possibly because of anatomical differences in each alpha source.ConclusionWhen each alpha component is not analysed separately, the change in overall alpha power will be a combination of decreased or increased components, and inter-individual differences will become larger. Our study highlights the importance of noting the presence of multiple alpha components with relatively small differences in the peak frequency for experimental design and analysis.
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