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首页> 外文期刊>Cognitive processing >Task load modulates tDCS effects on brain network for phonological processing
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Task load modulates tDCS effects on brain network for phonological processing

机译:任务负荷调制对脑网络的TDC对语音处理的影响

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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.
机译:可以通过对语音产生范围的语音感知的任务性质来调制音源参与。由于电机需求不断变化,左下方前转位(LIFG)的Pars Opercularis在这一范围内越来越活跃。在这里,我们通过同时TDC和FMRI调查了TDCS效应的任务负载调制是否转化为功能连接的可预测模式。根据“多节点框架”分析了调查结果,根据哪个任务负载和网络结构潜在的认知功能是TDCS效应的调制器。在内部研究中,参与者(n = 20)进行的分类感知,词汇决策和词语命名任务[差异招募刺激(LIFG)]的目标,其在三个TDCS会话中重复施用(AnoDal,Cathodal和Sham )。 LIFG,左上颞末颞克鲁斯及其正确的同源物形成了目标网络植入语音处理。 C-TDCS抑制和A-TDCS激励应随任务负载增加。相应地,任务负载越大,任务目标的相关性越大,并且通过较少相关节点补偿C-TDCS禁止的空间越小。通过部分相关性进行功能连接分析,并通过比较相对于假诱导的每个条件的显着连接的相对连接的相对数量的相对连接来推断出网络补偿。总体而言,同步TDC和FMRI足以表明,通过任务性质调制Motor参与语音处理。 C-TDC在语音处理任务中引起的网络响应匹配预测。 A-TDCS效应归因于网络效率的优化。

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