Pre-stimulus gamma power in human posteromedial cortex shows supra-modal mechanisms in predicting the amplitude and latency of task-induced suppression

刺激(心理学) 刺激形态 听觉皮层 神经科学 感觉系统 心理学 视皮层 听力学 认知心理学 医学
作者
Jie Ma,Lu Shen,Song Li,Qiang Guo,Josef Parvizi,Biao Han,Qi Chen
出处
期刊:Cerebral Cortex [Oxford University Press]
卷期号:33 (12): 7843-7856
标识
DOI:10.1093/cercor/bhad083
摘要

Abstract Upon repetitively performing the same well-practiced task on identical bottom-up stimuli, our performance still varies. Although it has been well documented that elevated pre-stimulus baseline activity in the human default-mode network impairs the subsequent task performance, it remains unknown (i) the fine-grained temporal dynamics and (ii) whether the underlying neural dynamics are supra-modal or modality-specific. We utilized intracranial recordings in the human posteromedial cortex (PMC) during a simple visual and an auditory detection task. Our findings suggested that the pre-stimulus gamma power in PMC predicted the subsequent task performance. Critically, the higher the pre-stimulus gamma power, the longer it took for it to be suppressed, and the less suppressed it was during the task performance, which eventually resulted in deleterious effects on task performance, i.e. longer reaction times. These fine-grained temporal dynamics were consistent between the visual and auditory simple detection task. In addition, a direct comparison between the visual and auditory modality showed that the between-modality difference emerged during the recovery period from the maximal gamma suppression back to the baseline. Taken together, the present results contribute novel spatio-temporal mechanisms in human PMC on how simple detection performance varies across multiple repetitions, irrespective of the sensory modality involved.
最长约 10秒,即可获得该文献文件

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
13679165979发布了新的文献求助10
1秒前
13679165979发布了新的文献求助10
1秒前
13679165979发布了新的文献求助10
1秒前
13679165979发布了新的文献求助10
1秒前
13679165979发布了新的文献求助10
1秒前
1秒前
Su发布了新的文献求助10
1秒前
1秒前
淡定的思松应助呆萌士晋采纳,获得10
1秒前
2秒前
3秒前
dilli完成签到 ,获得积分10
3秒前
cwy发布了新的文献求助10
5秒前
wz发布了新的文献求助10
5秒前
balzacsun发布了新的文献求助10
7秒前
JamesPei应助星星采纳,获得10
7秒前
8秒前
8秒前
laodie完成签到,获得积分10
9秒前
彭于晏应助ipeakkka采纳,获得10
9秒前
9秒前
敏感的芷发布了新的文献求助10
9秒前
susan发布了新的文献求助10
9秒前
10秒前
李爱国应助轻松的贞采纳,获得10
10秒前
wz完成签到,获得积分10
11秒前
子川完成签到 ,获得积分10
11秒前
怕孤独的鹭洋完成签到,获得积分10
11秒前
12秒前
耍酷的夏云完成签到,获得积分10
12秒前
laodie发布了新的文献求助10
13秒前
13秒前
小达完成签到,获得积分10
13秒前
nenoaowu发布了新的文献求助10
13秒前
文章要有性价比完成签到,获得积分10
14秒前
俏皮半烟完成签到,获得积分10
14秒前
Aki发布了新的文献求助10
14秒前
111完成签到,获得积分10
16秒前
耗尽完成签到,获得积分10
16秒前
烂漫驳发布了新的文献求助10
18秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
Luis Lacasa - Sobre esto y aquello 700
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527990
求助须知:如何正确求助?哪些是违规求助? 3108173
关于积分的说明 9287913
捐赠科研通 2805882
什么是DOI,文献DOI怎么找? 1540119
邀请新用户注册赠送积分活动 716941
科研通“疑难数据库(出版商)”最低求助积分说明 709824