TMS disruption of the lateral prefrontal cortex increases neural activity in the default mode network when naming facial expressions.

David Pitcher, Magdalena W Sliwinska, Daniel Kaiser
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Abstract

Recognizing facial expressions is dependent on multiple brain networks specialized for different cognitive functions. In the current study, participants (N = 20) were scanned using functional magnetic resonance imaging (fMRI), while they performed a covert facial expression naming task. Immediately prior to scanning thetaburst transcranial magnetic stimulation (TMS) was delivered over the right lateral prefrontal cortex (PFC), or the vertex control site. A group whole-brain analysis revealed that TMS induced opposite effects in the neural responses across different brain networks. Stimulation of the right PFC (compared to stimulation of the vertex) decreased neural activity in the left lateral PFC but increased neural activity in three nodes of the default mode network (DMN): the right superior frontal gyrus, right angular gyrus and the bilateral middle cingulate gyrus. A region of interest analysis showed that TMS delivered over the right PFC reduced neural activity across all functionally localised face areas (including in the PFC) compared to TMS delivered over the vertex. These results suggest that visually recognizing facial expressions is dependent on the dynamic interaction of the face-processing network and the DMN. Our study also demonstrates the utility of combined TMS/fMRI studies for revealing the dynamic interactions between different functional brain networks.

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经颅磁刺激对外侧前额皮质的破坏增加了默认模式网络在命名面部表情时的神经活动。
面部表情的识别依赖于多个专门用于不同认知功能的大脑网络。在目前的研究中,参与者(N = 20)在执行隐蔽的面部表情命名任务时,使用功能磁共振成像(fMRI)对他们进行扫描。在扫描之前,经颅磁刺激(TMS)立即通过右侧前额叶皮层(PFC)或顶点控制部位进行。一组全脑分析显示,经颅磁刺激对不同大脑网络的神经反应产生相反的影响。刺激右侧PFC(与刺激顶点相比)降低了左侧PFC的神经活动,但增加了默认模式网络(DMN)的三个节点的神经活动:右侧额上回、右侧角回和双侧中扣带回。感兴趣区域分析显示,与通过顶角传递的TMS相比,通过右侧PFC传递的TMS减少了所有功能定位面部区域(包括PFC)的神经活动。这些结果表明,面部表情的视觉识别依赖于面部处理网络和DMN的动态相互作用。我们的研究还证明了TMS/fMRI联合研究在揭示不同功能脑网络之间的动态相互作用方面的实用性。
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