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Causal Interactions between Frontalθ – Parieto-Occipitalα2 Predict Performance on a Mental Arithmetic Task

机译:额叶θ–顶枕α2之间的因果相互作用预测心理算术任务的表现

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摘要

Many neuroimaging studies have demonstrated the different functional contributions of spatially distinct brain areas to working memory (WM) subsystems in cognitive tasks that demand both local information processing and interregional coordination. In WM cognitive task paradigms employing electroencephalography (EEG), brain rhythms such as θ and α have been linked to specific functional roles over given brain areas, but their functional coupling has not been extensively studied. Here we analyzed an arithmetic task with five cognitive workload levels (CWLs) and demonstrated functional/effective coupling between the two WM subsystems: the central executive located over frontal (F) brain areas that oscillates on the dominant θ rhythm (Frontalθ/Fθ) and the storage buffer located over parieto-occipital (PO) brain areas that operates on the α2 dominant brain rhythm (Parieto-Occipitalα2/POα2). We focused on important differences between and within WM subsystems in relation to behavioral performance. A repertoire of brain connectivity estimators was employed to elucidate the distinct roles of amplitude, phase within and between frequencies, and the hierarchical role of functionally specialized brain areas related to the task. Specifically, for each CWL, we conducted a) a conventional signal power analysis within both frequency bands at Fθ and POα2, b) the intra- and inter-frequency phase interactions between Fθ and POα2, and c) their causal phase and amplitude relationship. We found no significant statistical difference of signal power or phase interactions between correct and wrong answers. Interestingly, the study of causal interactions between Fθ and POα2 revealed frontal brain region(s) as the leader, while the strength differentiated between correct and wrong responses in every CWL with absolute accuracy. Additionally, zero time-lag between bilateral Fθ and right POa2 could serve as an indicator of mental calculation failure. Overall, our study highlights the significant role of coordinated activity between Fθ and POα2 via their causal interactions and the timing for arithmetic performance.
机译:许多神经影像学研究表明,在需要本地信息处理和区域间协调的认知任务中,空间上不同的大脑区域对工作记忆(WM)子系统的功能贡献不同。在采用脑电图(EEG)的WM认知任务范式中,诸如θ和α之类的脑节律已与特定大脑区域的特定功能角色相关联,但尚未对其功能耦合进行深入研究。在这里,我们分析了具有五个认知工作量级别(CWL)的算术任务,并展示了两个WM子系统之间的功能/有效耦合:位于额叶(F)脑区域上方的中央执行器,该大脑区域以占优势的θ节奏振荡 / F θ)和位于顶枕(PO)脑区域上方且以α2主导脑节律起作用的存储缓冲区(Parieto-Occipital α2 / PO α2)。我们专注于WM子系统之间和内部与行为绩效有关的重要差异。运用大脑连通性估算器来阐明振幅,频率内和频率之间的相位的独特作用,以及与该任务相关的功能专门化的大脑区域的分层作用。具体来说,对于每个CWL,我们进行了a)在F θ和PO α2的两个频带内进行常规信号功率分析,b)频率内和频率间相位F θ和PO α2之间的相互作用,以及c)因果相位和幅度关系。我们发现正确答案和错误答案之间的信号功率或相位相互作用都没有明显的统计差异。有趣的是,对F θ和PO α2之间的因果关系的研究表明,额叶大脑区域是领导者,而每个CWL中正确和错误响应的强度却有所不同。绝对准确。此外,双侧F θ和右PO a2 之间的零时滞可以作为心理计算失败的指标。总体而言,我们的研究强调了F θ和PO α2之间的因果关系和算术性能时机之间协调活动的重要作用。

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