Department of Cognitive and Brain Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN, USA; Program in Neuroscience, Indiana University, Bloomington, IN, USA.
Cell Rep. 2023 Jun 27;42(6):112585. doi: 10.1016/j.celrep.2023.112585. Epub 2023 Jun 7.
Mapping the human face-processing network is typically done during rest or using isolated, static face images, overlooking widespread cortical interactions obtained in response to naturalistic face dynamics and context. To determine how inter-subject functional correlation (ISFC) relates to face recognition scores, we measure cortical connectivity patterns in response to a dynamic movie in typical adults (N = 517). We find a positive correlation with recognition scores in edges connecting the occipital visual and anterior temporal regions and a negative correlation in edges connecting the attentional dorsal, frontal default, and occipital visual regions. We measure the inter-subject stimulus-evoked response at a single TR resolution and demonstrate that co-fluctuations in face-selective edges are related to activity in core face-selective regions and that the ISFC patterns peak during boundaries between movie segments rather than during the presence of faces. Our approach demonstrates how face processing is linked to fine-scale dynamics in attentional, memory, and perceptual neural circuitry.
绘制人类面部处理网络的图谱通常是在休息时或使用孤立的静态面部图像进行的，忽略了在自然面部动态和背景下获得的广泛的皮质相互作用。为了确定主体间功能相关性（ISFC）与面部识别分数的关系，我们在典型成年人中（N=517）测量了对动态电影的皮质连接模式。我们发现与识别分数呈正相关的是连接枕叶视觉和前颞区的边缘，与连接注意力背侧、额叶默认和枕叶视觉区的边缘呈负相关。我们在单个 TR 分辨率下测量主体间的刺激诱发反应，并证明在选择性边缘上的共波动与核心选择性区域的活动有关，并且 ISFC 模式在电影片段之间的边界而不是在存在面孔时达到峰值。我们的方法展示了面部处理如何与注意力、记忆和感知神经回路的细粒度动态相关联。
