Temporal hierarchy of observed goal-directed actions

运动前皮质 动作(物理) 神经科学 等级制度 镜像神经元 计算机科学 心理学 认知心理学 运动皮层 生物 物理 经济 解剖 量子力学 市场经济 刺激
作者
Shahar Aberbach-Goodman,Roy Mukamel
出处
期刊:Scientific Reports [Nature Portfolio]
卷期号:13 (1) 被引量:1
标识
DOI:10.1038/s41598-023-46917-z
摘要

During social interactions, we continuously integrate current and previous information over varying timescales to infer other people's action intentions. Motor cognition theories argue for a hierarchical organization of goal-directed actions based on temporal scales. Accordingly, transient motor primitives are represented at lower levels of the hierarchy, a combination of primitives building motor sequences at subordinate levels, and more stable overarching action goals at superordinate levels. A neural topography of hierarchal timescales for information accumulation was previously shown in the visual and auditory domains. However, whether such a temporal hierarchy can also account for observed goal-directed action representations in motor pathways remains to be determined. Thus, the current study examined the neural architecture underlying the processing of observed goal-directed actions using inter-subject correlation (ISC) of fMRI activity. Observers (n = 24) viewed sequential hand movements presented in their intact order or piecewise scrambled at three timescales pertaining to goal-directed action evolution (Primitives: ± 1.5 s, Sub-Goals: ± 4 s, and High-Goals: ± 10 s). The results revealed differential intrinsic temporal capacities for integrating goal-directed action information across brain areas engaged in action observation. Longer timescales (> ± 10 s) were found in the posterior parietal and dorsal premotor compared to the ventral premotor (± 4 s) and anterior parietal (± 1.5 s) cortex. Moreover, our results revealed a hemispheric bias with more extended timescales in the right MT+, primary somatosensory, and early visual cortices compared to their homotopic regions in the left hemisphere. Our findings corroborate a hierarchical neural mapping of observed actions based on temporal scales of goals and provide further support for a ubiquitous time-dependent neural organization of information processing across multiple modalities.

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
aaaaa888888888完成签到,获得积分20
刚刚
一杯奶茶完成签到,获得积分10
刚刚
2秒前
小休完成签到 ,获得积分10
4秒前
6秒前
Jeff完成签到,获得积分10
6秒前
pb完成签到,获得积分10
7秒前
努力努力哦呵呵完成签到,获得积分10
7秒前
Eclipse12138完成签到,获得积分10
7秒前
8秒前
一样的seal完成签到,获得积分10
10秒前
Sun关闭了Sun文献求助
10秒前
李浩然完成签到,获得积分10
11秒前
12秒前
13秒前
ccc完成签到,获得积分10
13秒前
song_song完成签到,获得积分10
13秒前
yunsww完成签到,获得积分10
13秒前
yao发布了新的文献求助10
14秒前
茶辞完成签到,获得积分10
15秒前
16秒前
无辜的行云完成签到 ,获得积分0
17秒前
阡陌发布了新的文献求助10
18秒前
20秒前
动听的思柔完成签到,获得积分10
24秒前
我要发核心完成签到 ,获得积分10
24秒前
haha发布了新的文献求助10
25秒前
25秒前
舒心的跳跳糖完成签到,获得积分10
26秒前
Awei发布了新的文献求助10
31秒前
贾方硕完成签到,获得积分10
34秒前
37秒前
hhhh完成签到,获得积分10
39秒前
39秒前
LINHAI完成签到,获得积分10
40秒前
40秒前
洛希极限完成签到,获得积分10
41秒前
baolipao完成签到,获得积分10
42秒前
水工佬完成签到,获得积分10
43秒前
肥皂剧完成签到,获得积分10
44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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1000
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Photodetectors: From Ultraviolet to Infrared 500
Cancer Targets: Novel Therapies and Emerging Research Directions (Part 1) 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6359032
求助须知:如何正确求助?哪些是违规求助? 8173021
关于积分的说明 17212158
捐赠科研通 5414033
什么是DOI,文献DOI怎么找? 2865350
邀请新用户注册赠送积分活动 1842737
关于科研通互助平台的介绍 1690871