General and Experimental Psychology Unit, Department of Psychology, LMU Munich, Munich, Germany.
Department of Neuroradiology, Technical University of Munich, Munich, Germany.
Eur J Neurosci. 2021 May;53(10):3362-3377. doi: 10.1111/ejn.15206. Epub 2021 May 3.
Visual information processing requires an efficient visual attention system. The neural theory of visual attention (TVA) proposes that visual processing speed depends on the coordinated activity between frontoparietal and occipital brain areas. Previous research has shown that the coordinated activity between (i.e., functional connectivity and "inter-FC") cingulo-opercular (COn) and right-frontoparietal (RFPn) networks is linked to visual processing speed. However, how inter-FC of COn and RFPn with visual networks links to visual processing speed has not been directly addressed yet. Forty-eight healthy adult participants (27 females) underwent resting-state (rs-)fMRI and performed a whole-report psychophysical task. To obtain inter-FC, we analyzed the entire frequency range available in our rs-fMRI data (i.e., 0.01-0.4 Hz) to avoid discarding neural information. Following previous approaches, we analyzed the data across frequency bins (Hz): Slow-5 (0.01-0.027), Slow-4 (0.027-0.073), Slow-3 (0.073-0.198), and Slow-2 (0.198-0.4). We used the mathematical TVA framework to estimate an individual, latent-level visual processing speed parameter. We found that visual processing speed was negatively associated with inter-FC between RFPn and visual networks in Slow-5 and Slow-2, with no corresponding significant association for inter-FC between COn and visual networks. These results provide the first empirical evidence that links inter-FC between RFPn and visual networks with the visual processing speed parameter. These findings suggest that direct connectivity between occipital and right frontoparietal, but not frontoinsular, regions support visual processing speed.
视觉信息处理需要高效的视觉注意系统。视觉注意力的神经理论（TVA）提出，视觉处理速度取决于顶枕和枕额脑区之间的协调活动。先前的研究表明，扣带眶额（COn）和右侧额顶（RFPn）网络之间的协调活动（即功能连接和“FC 间”）与视觉处理速度有关。然而，COn 和 RFPn 与视觉网络之间的 FC 间如何与视觉处理速度相关联尚未得到直接解决。48 名健康成年参与者（27 名女性）接受了静息态（rs-）fMRI 检查，并进行了全报告心理物理任务。为了获得 FC 间，我们分析了 rs-fMRI 数据中可用的整个频率范围（即 0.01-0.4 Hz），以避免丢弃神经信息。按照先前的方法，我们跨频率-bin（Hz）分析数据：Slow-5（0.01-0.027）、Slow-4（0.027-0.073）、Slow-3（0.073-0.198）和 Slow-2（0.198-0.4）。我们使用数学 TVA 框架来估计个体潜在的视觉处理速度参数。我们发现，视觉处理速度与 RFPn 和视觉网络之间的 FC 间在 Slow-5 和 Slow-2 呈负相关，而 COn 和视觉网络之间的 FC 间没有相应的显著关联。这些结果提供了第一个经验证据，表明 RFPn 和视觉网络之间的 FC 间与视觉处理速度参数有关。这些发现表明，枕额和右侧额顶区域之间的直接连通性，而不是额前岛叶区域，支持视觉处理速度。
