Neural Representations of Perspectival Shapes and Attentional Effects: Evidence from fMRI and MEG

脑磁图 心理学 功能磁共振成像 代表(政治) 视皮层 枕叶 维数(图论) 颞叶 刺激(心理学) 颞叶皮质 视觉感受 认知心理学 神经科学 认知科学 感知 脑电图 数学 政治 政治学 纯数学 法学 癫痫
作者
Yi Lin,Yu‐Jen Hsu,Tony Cheng,Pin-Cheng Hsiung,Chenwei Wu,Po‐Jang Hsieh
出处
期刊:Cortex [Elsevier]
标识
DOI:10.1016/j.cortex.2024.04.003
摘要

Does the human brain represent perspectival shapes, i.e., viewpoint-dependent object shapes, especially in relatively higher-level visual areas such as the lateral occipital cortex? What is the temporal profile of the appearance and disappearance of neural representations of perspectival shapes? And how does attention influence these neural representations? To answer these questions, we employed functional magnetic resonance imaging (fMRI), magnetoencephalography (MEG), and multivariate decoding techniques to investigate spatiotemporal neural representations of perspectival shapes. Participants viewed rotated objects along with the corresponding objective shapes and perspectival shapes (i.e., rotated round, round, and oval) while we measured their brain activities. Our results revealed that shape classifiers trained on the basic shapes (i.e., round and oval) consistently identified neural representations in the lateral occipital cortex corresponding to the perspectival shapes of the viewed objects regardless of attentional manipulations. Additionally, this classification tendency toward the perspectival shapes emerged approximately 200ms after stimulus presentation. Moreover, attention influenced the spatial dimension as the regions showing the perspectival shape classification tendency propagated from the occipital lobe to the temporal lobe. As for the temporal dimension, attention led to a more robust and enduring classification tendency towards perspectival shapes. In summary, our study outlines a spatiotemporal neural profile for perspectival shapes that suggests a greater degree of perspectival representation than is often acknowledged.

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
专注的芷发布了新的文献求助10
刚刚
111发布了新的文献求助10
刚刚
刚刚
传奇3应助刘晓倩采纳,获得10
1秒前
2秒前
thin完成签到,获得积分10
2秒前
Nthorn_rone完成签到,获得积分10
6秒前
6秒前
6秒前
7秒前
8秒前
狒狒发布了新的文献求助10
8秒前
四叱冬青木完成签到,获得积分10
9秒前
cj819完成签到,获得积分10
9秒前
科研通AI6.3应助凡酒权采纳,获得10
9秒前
9秒前
10秒前
啦啦发布了新的文献求助10
10秒前
12秒前
linqitc发布了新的文献求助10
12秒前
12秒前
刘晓倩发布了新的文献求助10
13秒前
BigF发布了新的文献求助10
13秒前
zimin发布了新的文献求助10
13秒前
所所应助欣慰的汉堡采纳,获得10
14秒前
汉堡包应助emily采纳,获得10
15秒前
15秒前
风清扬发布了新的文献求助10
15秒前
Everything发布了新的文献求助10
15秒前
慈祥的蛋挞完成签到 ,获得积分10
16秒前
16秒前
as发布了新的文献求助10
16秒前
852应助花痴的白筠采纳,获得10
17秒前
乐乐应助儒雅的凤凰采纳,获得10
17秒前
mumu驳回了kai chen应助
17秒前
宁羽完成签到,获得积分20
18秒前
18秒前
18秒前
烟花应助懒惰依秋采纳,获得10
20秒前
syjjj完成签到,获得积分10
22秒前
高分求助中
Modern Epidemiology, Fourth Edition 5000
Kinesiophobia : a new view of chronic pain behavior 5000
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 3000
Digital Twins of Advanced Materials Processing 2000
Propeller Design 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Handbook of pharmaceutical excipients, Ninth edition 1500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 纳米技术 化学工程 生物化学 物理 计算机科学 内科学 复合材料 催化作用 物理化学 光电子学 电极 冶金 细胞生物学 基因
热门帖子
关注 科研通微信公众号,转发送积分 6011205
求助须知:如何正确求助?哪些是违规求助? 7559747
关于积分的说明 16136440
捐赠科研通 5157970
什么是DOI,文献DOI怎么找? 2762598
邀请新用户注册赠送积分活动 1741303
关于科研通互助平台的介绍 1633583