Rodrigues de Almeida Lílian, Pope Paul A, Hansen Peter C
School of Psychology, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK.
Cogn Process. 2020 Aug;21(3):341-363. doi: 10.1007/s10339-020-00964-w. Epub 2020 Mar 10.
Motor participation in phonological processing can be modulated by task nature across the speech perception to speech production range. The pars opercularis of the left inferior frontal gyrus (LIFG) would be increasingly active across this range, because of changing motor demands. Here, we investigated with simultaneous tDCS and fMRI whether the task load modulation of tDCS effects translates into predictable patterns of functional connectivity. Findings were analysed under the "multi-node framework", according to which task load and the network structure underlying cognitive functions are modulators of tDCS effects. In a within-subject study, participants (N = 20) performed categorical perception, lexical decision and word naming tasks [which differentially recruit the target of stimulation (LIFG)], which were repeatedly administered in three tDCS sessions (anodal, cathodal and sham). The LIFG, left superior temporal gyrus and their right homologues formed the target network subserving phonological processing. C-tDCS inhibition and A-tDCS excitation should increase with task load. Correspondingly, the larger the task load, the larger the relevance of the target for the task and smaller the room for compensation of C-tDCS inhibition by less relevant nodes. Functional connectivity analyses were performed with partial correlations, and network compensation globally inferred by comparing the relative number of significant connections each condition induced relative to sham. Overall, simultaneous tDCS and fMRI was adequate to show that motor participation in phonological processing is modulated by task nature. Network responses induced by C-tDCS across phonological processing tasks matched predictions. A-tDCS effects were attributed to optimisation of network efficiency.
在从言语感知到言语产生的范围内,语音处理中的运动参与可受任务性质的调节。由于运动需求的变化,左侧额下回(LIFG)的 opercular部在这个范围内会越来越活跃。在此,我们通过同时进行经颅直流电刺激(tDCS)和功能磁共振成像(fMRI)研究tDCS效应的任务负荷调节是否会转化为可预测的功能连接模式。根据“多节点框架”对研究结果进行分析,在该框架下,任务负荷和认知功能背后的网络结构是tDCS效应的调节因素。在一项受试者内研究中,参与者(N = 20)执行分类感知、词汇判断和单词命名任务[这些任务对刺激目标(LIFG)的招募程度不同],这些任务在三个tDCS阶段(阳极、阴极和假刺激)中重复进行。LIFG、左侧颞上回及其右侧对应脑区构成了支持语音处理的目标网络。阴极tDCS抑制和阳极tDCS兴奋应随任务负荷增加。相应地,任务负荷越大,目标与任务的相关性越大,不太相关的节点对阴极tDCS抑制进行补偿的空间就越小。使用偏相关进行功能连接分析,并通过比较每种条件相对于假刺激所诱导的显著连接的相对数量来整体推断网络补偿情况。总体而言,同时进行tDCS和fMRI足以表明语音处理中的运动参与受任务性质的调节。阴极tDCS在语音处理任务中诱导的网络反应符合预测。阳极tDCS效应归因于网络效率的优化。