通过神经网络收敛揭示的视觉人类前额叶激活的文本相关功能和动态。
Text-related functionality and dynamics of visual human pre-frontal activations revealed through neural network convergence.
作者信息
Shoham Adva, Broday-Dvir Rotem, Yaron Itay, Yovel Galit, Malach Rafael
机构信息
School of Psychological Sciences, Tel Aviv University, Tel Aviv, Israel.
Department of Brain Sciences, Weizmann Institute of Science, Rehovot, Israel.
出版信息
Commun Biol. 2025 Jul 30;8(1):1129. doi: 10.1038/s42003-025-08497-8.
Human prefrontal areas show enhanced activations when individuals are presented with images, under diverse task conditions. However, the functional role of these increased activations remains a deeply debated question. Here we addressed this question by comparing, dynamically, the relational structure of prefrontal activations and both visual and textual-trained deep neural networks (DNNs) during a visual memorization task. We analyzed intra-cranial recordings, conducted for clinical purposes, while patients viewed and memorized images of familiar faces and places. Our results reveal that relational structures in the frontal cortex elicited during visual memorization were predicted by text and not visual DNNs. Importantly, the temporal dynamics of these correlations showed striking differences, with a rapid decline over time for the visual component, but persistent dynamics including a significant image offset response for the text component. The results point to a dynamic text-related function of prefrontal cortex during visual memorization in the human brain.
在不同任务条件下,当个体看到图像时,人类前额叶区域会表现出增强的激活。然而,这些增强激活的功能作用仍然是一个备受争议的问题。在这里,我们通过在视觉记忆任务中动态比较前额叶激活的关系结构以及视觉和文本训练的深度神经网络(DNN)来解决这个问题。我们分析了为临床目的进行的颅内记录,同时患者观看并记住熟悉面孔和地点的图像。我们的结果表明,视觉记忆过程中额叶皮质引发的关系结构是由文本而非视觉DNN预测的。重要的是,这些相关性的时间动态显示出显著差异,视觉成分随时间迅速下降,而文本成分则具有持续的动态,包括显著的图像偏移反应。结果表明,在人类大脑视觉记忆过程中,前额叶皮质具有与文本相关的动态功能。