Department of Psychology, University of York, Heslington, York, YO10 5DD, UK.
Department of Psychology, University of York, Heslington, York, YO10 5DD, UK.
Neuroimage. 2018 Dec;183:394-400. doi: 10.1016/j.neuroimage.2018.08.025. Epub 2018 Aug 18.
Prior studies demonstrate that a face-responsive region in the posterior superior temporal sulcus (pSTS) is involved in facial expression recognition. Although this region can be identified in both hemispheres, studies more commonly report it in the right hemisphere. However, the extent to which expression recognition is lateralised in pSTS remains unclear. In the current study, we used transcranial magnetic stimulation (TMS) to systematically compare the causal contribution of the right pSTS (rpSTS) with the left pSTS (lpSTS) during facial expression recognition. TMS was delivered over the functionally localised rpSTS, lpSTS and the control vertex site while participants (N = 30) performed an expression matching task and a control object matching task. TMS delivered over the rpSTS impaired expression recognition more than TMS delivered over the lpSTS. Crucially, TMS delivered over the rpSTS and lpSTS impaired task performance more than TMS delivered over the control site. TMS had no effect on the control task. This causally demonstrates that while task disruption was greater in the rpSTS, both the rpSTS and the lpSTS were engaged in facial expression recognition. Our results indicate that cognitive functions that are seemingly lateralised in neuroimaging studies, still rely on computations performed in both hemispheres for optimum task performance.
先前的研究表明,后上颞叶沟(pSTS)中的一个面孔反应区域参与了面部表情识别。虽然这个区域可以在两个半球中被识别,但研究更常见于报告右半球。然而,在 pSTS 中表达识别的偏侧化程度尚不清楚。在当前的研究中,我们使用经颅磁刺激(TMS)在进行面部表情识别时,系统地比较了右 pSTS(rpSTS)和左 pSTS(lpSTS)的因果贡献。当参与者(N=30)执行表情匹配任务和控制物体匹配任务时,TMS 被施加在功能上定位的 rpSTS、lpSTS 和对照顶点部位。TMS 施加在 rpSTS 上比施加在 lpSTS 上更能损害表情识别。至关重要的是,TMS 施加在 rpSTS 和 lpSTS 上比施加在对照部位上更能损害任务表现。TMS 对控制任务没有影响。这从因果上证明了尽管 rpSTS 中的任务中断更大,但 rpSTS 和 lpSTS 都参与了面部表情识别。我们的结果表明,在神经影像学研究中表现出明显偏侧化的认知功能,仍然依赖于两个半球的计算来实现最佳的任务表现。