The functionally defined right occipital and fusiform “face areas” discriminate novel from visually familiar faces

梭状回 梭形面区 纹状体外皮质 心理学 枕叶 面部知觉 视皮层 舌回 颞叶皮质 脑功能偏侧化 神经科学 神经影像学 认知心理学 右半球 颞下回 面子(社会学概念) 颞叶 视觉对象识别的认知神经科学 对象(语法) 功能磁共振成像 人工智能 感知 计算机科学 社会科学 癫痫 社会学
作者
Bruno Rossion,Christine Schiltz,Marc Crommelinck
出处
期刊:NeuroImage [Elsevier]
卷期号:19 (3): 877-883 被引量:189
标识
DOI:10.1016/s1053-8119(03)00105-8
摘要

Neuroimaging (PET and fMRI) studies have identified a set of brain areas responding more to faces than to other object categories in the visual extrastriate cortex of humans. This network includes the middle lateral fusiform gyrus (the fusiform face area, or FFA) as well as the inferior occipital gyrus (occipital face area, OFA). The exact functions of these areas in face processing remain unclear although it has been argued that their primary function is to distinguish faces from nonface object categories—"face detection"—or also to discriminate among faces, irrespective of their visual familiarity to the observer. Here, we combined the data from two previous positron emission tomography (PET) studies to show that the functionally defined face areas are involved in the automatic discrimination between unfamiliar faces and familiar faces. Consistent with previous studies, a face localizer contrast (faces–objects) revealed bilateral activation in the middle lateral fusiform gyrus (FFA, BA37) and in the right inferior occipital cortex (OFA, BA19). Within all the regions of the right hemisphere, larger levels of activation were found for unfamiliar as compared to familiar faces. These results suggest that the very same areas involved in categorizing faces at the basic or individual level, play a role in differentiating familiar faces from new faces, showing an overlap between visual and presemantic mnesic representations of faces in the right hemisphere.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
JamesPei应助科研通管家采纳,获得10
刚刚
ding应助科研通管家采纳,获得10
刚刚
浮游应助科研通管家采纳,获得10
刚刚
搜集达人应助科研通管家采纳,获得10
刚刚
英俊的铭应助科研通管家采纳,获得10
刚刚
浮游应助科研通管家采纳,获得10
刚刚
天天快乐应助科研通管家采纳,获得10
刚刚
赘婿应助科研通管家采纳,获得10
刚刚
asdfzxcv应助科研通管家采纳,获得10
刚刚
刚刚
科研通AI2S应助科研通管家采纳,获得40
1秒前
完美世界应助科研通管家采纳,获得10
1秒前
1秒前
小马甲应助qianqian采纳,获得10
1秒前
qq应助科研通管家采纳,获得10
1秒前
asdfzxcv应助科研通管家采纳,获得10
1秒前
浮游应助科研通管家采纳,获得10
1秒前
上官若男应助科研通管家采纳,获得10
1秒前
asdfzxcv应助科研通管家采纳,获得10
1秒前
CodeCraft应助科研通管家采纳,获得10
1秒前
量子星尘发布了新的文献求助10
1秒前
3秒前
大意的枫完成签到,获得积分10
3秒前
脑洞疼应助元素分希怡采纳,获得10
3秒前
4秒前
高高以松完成签到,获得积分10
4秒前
隐形曼青应助合适惜筠采纳,获得10
4秒前
FashionBoy应助星期8采纳,获得10
4秒前
5秒前
5秒前
5秒前
重要半莲发布了新的文献求助10
6秒前
6秒前
深情白风完成签到,获得积分10
7秒前
科研通AI6应助雨落采纳,获得10
7秒前
7秒前
xx发布了新的文献求助10
8秒前
烟花应助lilac采纳,获得10
8秒前
8秒前
9秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Binary Alloy Phase Diagrams, 2nd Edition 8000
Comprehensive Methanol Science Production, Applications, and Emerging Technologies 2000
Building Quantum Computers 800
Translanguaging in Action in English-Medium Classrooms: A Resource Book for Teachers 700
Exosomes Pipeline Insight, 2025 500
Red Book: 2024–2027 Report of the Committee on Infectious Diseases 500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5655668
求助须知:如何正确求助?哪些是违规求助? 4799897
关于积分的说明 15073450
捐赠科研通 4814035
什么是DOI,文献DOI怎么找? 2575522
邀请新用户注册赠送积分活动 1530862
关于科研通互助平台的介绍 1489554