Spatiotemporal processing of real faces is modified by visual sensing

IF 4.7 2区医学 Q1 NEUROIMAGING

NeuroImage Pub Date : 2025-04-17 DOI:10.1016/j.neuroimage.2025.121219

Megan Kelley , Mark Tiede , Xian Zhang , J․Adam Noah , Joy Hirsch

{"title":"Spatiotemporal processing of real faces is modified by visual sensing","authors":"Megan Kelley , Mark Tiede , Xian Zhang , J․Adam Noah , Joy Hirsch","doi":"10.1016/j.neuroimage.2025.121219","DOIUrl":null,"url":null,"abstract":"<div><div>Live human faces, when engaged as visual stimuli, recruit unique and extensive patterns of neural activity. However, the underlying neural mechanisms that underly these live face-to-face processes are not known. We hypothesized that the neural correlates for live face processes are modulated by both spatial and temporal features of the live faces as well as visual sensing parameters. Hemodynamic signals detected by functional near infrared spectroscopy (fNIRS) were acquired concurrently with co-activated electroencephalographic (EEG) and eye-tracking signals during interactive gaze at a live human face or gaze at a human-like robot face. Regression of the fNIRS signals with two eye-gaze variables, fixation duration and dwell time, revealed separate regions of neural correlates, right supramarginal gyrus (lateral visual stream) and right inferior parietal sulcus (dorsal visual stream), respectively. These two areas served as the regions of interest for the EEG analysis. Standardized low-resolution brain electromagnetic tomography (sLORETA) was applied to determine theta (4 – 7 Hz) and alpha (8–13 Hz) oscillatory activity in these regions. Variations in oscillatory patterns corresponding to the neural correlates of the visual sensing parameters suggest an increase in spatial binding for the dorsal relative to the lateral regions of interest during live face-to-face visual stimulation.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"312 ","pages":"Article 121219"},"PeriodicalIF":4.7000,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"NeuroImage","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1053811925002228","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"NEUROIMAGING","Score":null,"Total":0}

引用次数: 0

Abstract

Live human faces, when engaged as visual stimuli, recruit unique and extensive patterns of neural activity. However, the underlying neural mechanisms that underly these live face-to-face processes are not known. We hypothesized that the neural correlates for live face processes are modulated by both spatial and temporal features of the live faces as well as visual sensing parameters. Hemodynamic signals detected by functional near infrared spectroscopy (fNIRS) were acquired concurrently with co-activated electroencephalographic (EEG) and eye-tracking signals during interactive gaze at a live human face or gaze at a human-like robot face. Regression of the fNIRS signals with two eye-gaze variables, fixation duration and dwell time, revealed separate regions of neural correlates, right supramarginal gyrus (lateral visual stream) and right inferior parietal sulcus (dorsal visual stream), respectively. These two areas served as the regions of interest for the EEG analysis. Standardized low-resolution brain electromagnetic tomography (sLORETA) was applied to determine theta (4 – 7 Hz) and alpha (8–13 Hz) oscillatory activity in these regions. Variations in oscillatory patterns corresponding to the neural correlates of the visual sensing parameters suggest an increase in spatial binding for the dorsal relative to the lateral regions of interest during live face-to-face visual stimulation.

查看原文本刊更多论文

利用视觉感知对真实人脸的时空处理进行改进

活生生的人脸，当作为视觉刺激时，会引起独特而广泛的神经活动模式。然而，这些现场面对面过程背后的潜在神经机制尚不清楚。我们假设活人脸过程的神经关联受到活人脸的空间和时间特征以及视觉感知参数的调节。在交互注视活人面部或注视类人机器人面部时，通过功能性近红外光谱（fNIRS）检测到的血流动力学信号与协同激活脑电图（EEG）和眼动追踪信号同时获得。用注视时间和停留时间两个注视变量对fNIRS信号进行回归，发现右侧边缘上回（侧视流）和右侧顶叶下沟（背视流）是不同的神经相关区域。这两个区域作为EEG分析的兴趣区域。应用标准低分辨率脑电磁断层扫描（sLORETA）测定这些区域的θ (4 - 7 Hz)和α (8-13 Hz)振荡活动。与视觉感知参数的神经关联相对应的振荡模式的变化表明，在面对面的视觉刺激过程中，相对于感兴趣的外侧区域，背侧区域的空间绑定增加。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

NeuroImage 医学-核医学

CiteScore

11.30

自引率

10.50%

发文量

809

审稿时长

63 days

期刊介绍： NeuroImage, a Journal of Brain Function provides a vehicle for communicating important advances in acquiring, analyzing, and modelling neuroimaging data and in applying these techniques to the study of structure-function and brain-behavior relationships. Though the emphasis is on the macroscopic level of human brain organization, meso-and microscopic neuroimaging across all species will be considered if informative for understanding the aforementioned relationships.