Gibson Benjamin C, Heinrich Melissa, Mullins Teagan S, Yu Alfred B, Hansberger Jeffrey T, Clark Vincent P
Department of Psychology, Psychology Clinical Neuroscience Center, University of New Mexico, Albuquerque, NM, United States.
The Mind Research Network of the Lovelace Biomedical Research Institute, University of New Mexico, Albuquerque, NM, United States.
Front Hum Neurosci. 2021 Mar 3;15:541369. doi: 10.3389/fnhum.2021.541369. eCollection 2021.
Variable responses to transcranial direct current stimulation (tDCS) protocols across individuals are widely reported, but the reasons behind this variation are unclear. This includes tDCS protocols meant to improve attention. Attentional control is impacted by top-down and bottom-up processes, and this relationship is affected by state characteristics such as anxiety. According to Attentional Control Theory, anxiety biases attention towards bottom-up and stimulus-driven processing. The goal of this study was to explore the extent to which differences in state anxiety and related measures affect visual attention and category learning, both with and without the influence of tDCS. Using discovery learning, participants were trained to classify pictures of European streets into two categories while receiving 30 min of 2.0 mA anodal, cathodal, or sham tDCS over the rVLPFC. The pictures were classifiable according to two separate rules, one stimulus and one hypothesis-driven. The Remote Associates Test (RAT), Profile of Mood States, and Attention Networks Task (ANT) were used to understand the effects of individual differences at baseline on subsequent tDCS-mediated learning. Multinomial logistic regression was fit to predict rule learning based on the baseline measures, with subjects classified according to whether they used the stimulus-driven or hypothesis-driven rule to classify the pictures. The overall model showed a classification accuracy of 74.1%. The type of tDCS stimulation applied, attentional orienting score, and self-reported mood were significant predictors of different categories of rule learning. These results indicate that anxiety can influence the quality of subjects' attention at the onset of the task and that these attentional differences can influence tDCS-mediated category learning during the rapid assessment of visual scenes. These findings have implications for understanding the complex interactions that give rise to the variability in response to tDCS.
个体对经颅直流电刺激(tDCS)方案的反应存在差异,这一现象已被广泛报道,但这种差异背后的原因尚不清楚。这其中包括旨在改善注意力的tDCS方案。注意力控制受到自上而下和自下而上过程的影响,而这种关系会受到焦虑等状态特征的影响。根据注意力控制理论,焦虑会使注意力偏向自下而上和刺激驱动的加工过程。本研究的目的是探讨状态焦虑及相关指标的差异在有无tDCS影响的情况下,对视觉注意力和类别学习的影响程度。通过发现学习,参与者在接受rVLPFC区域30分钟2.0 mA的阳极、阴极或假tDCS刺激时,被训练将欧洲街道的图片分类为两类。这些图片可根据两条不同的规则进行分类,一条基于刺激,一条基于假设。使用远程联想测验(RAT)、情绪状态剖面图和注意力网络任务(ANT)来了解基线时个体差异对后续tDCS介导学习的影响。采用多项逻辑回归,根据基线测量值预测规则学习情况,并根据参与者使用刺激驱动还是假设驱动规则对图片进行分类来对其进行分类。总体模型的分类准确率为74.1%。所施加的tDCS刺激类型、注意力定向分数和自我报告的情绪是不同类别规则学习的显著预测因素。这些结果表明,焦虑会在任务开始时影响受试者的注意力质量,并且这些注意力差异会在视觉场景的快速评估过程中影响tDCS介导的类别学习。这些发现对于理解导致tDCS反应变异性的复杂相互作用具有重要意义。