Center for Mind and Brain, University of California, 267 Cousteau Place, Davis, CA, 95618, USA.
Liberal Arts and Sciences, GIST, 123 Cheomdan-gwagiro, Buk-gu, Gwangju, 61005, Republic of Korea.
Exp Brain Res. 2019 Dec;237(12):3099-3107. doi: 10.1007/s00221-019-05655-3. Epub 2019 Sep 20.
Language comprehension during reading requires fine-grained management of saccadic eye movements. A critical question, therefore, is how the brain controls eye movements in reading. Neural correlates of simple eye movements have been found in multiple cortical regions, but little is known about how this network operates in reading. To investigate this question in the present study, participants were presented with normal text, pseudo-word text, and consonant string text in a magnetic resonance imaging (MRI) scanner with eyetracking. Participants read naturally in the normal text condition and moved their eyes "as if they were reading" in the other conditions. Multi-voxel pattern analysis was used to analyze the fMRI signal in the oculomotor network. We found that activation patterns in a subset of network regions differentiated between stimulus types. These results suggest that the oculomotor network reflects more than simple saccade generation and are consistent with the hypothesis that specific network areas interface with cognitive systems.
阅读过程中的语言理解需要精细地控制眼球运动。因此,一个关键问题是大脑如何控制阅读中的眼球运动。在多个皮质区域中已经发现了简单眼球运动的神经相关物,但对于该网络在阅读中的运作方式知之甚少。为了在本研究中调查这个问题,参与者在带有眼动追踪的磁共振成像 (MRI) 扫描仪中接受了正常文本、伪词文本和辅音串文本。参与者在正常文本条件下自然阅读,并在其他条件下“好像在阅读”一样移动眼睛。多体素模式分析用于分析眼动网络中的 fMRI 信号。我们发现,网络区域子集的激活模式可区分刺激类型。这些结果表明,眼动网络反映的不仅仅是简单的眼球运动生成,并且与特定网络区域与认知系统相互作用的假设一致。