Enhancing cognitive control with transcranial magnetic stimulation in subject-specific frontoparietal networks

心理学 磁刺激 认知 神经科学 认知心理学 控制(管理) 刺激 计算机科学 人工智能
作者
Julia Dengler,Benjamin L. Deck,Harrison Stoll,Guadalupe Fernandez-Nuñez,Apoorva Kelkar,Ryan Rich,Brian Erickson,Fareshte Erani,Olufunsho Faseyitan,Roy H. Hamilton,John D. Medaglia
出处
期刊:Cortex [Elsevier BV]
卷期号:172: 141-158 被引量:5
标识
DOI:10.1016/j.cortex.2023.11.020
摘要

Cognitive control processes, including those involving frontoparietal networks, are highly variable between individuals, posing challenges to basic and clinical sciences. While distinct frontoparietal networks have been associated with specific cognitive control functions such as switching, inhibition, and working memory updating functions, there have been few basic tests of the role of these networks at the individual level. To examine the role of cognitive control at the individual level, we conducted a within-subject excitatory transcranial magnetic stimulation (TMS) study in 19 healthy individuals that targeted intrinsic ("resting") frontoparietal networks. Person-specific intrinsic networks were identified with resting state functional magnetic resonance imaging scans to determine TMS targets. The participants performed three cognitive control tasks: an adapted Navon figure-ground task (requiring set switching), n-back (working memory), and Stroop color-word (inhibition). /Hypothesis: We predicted that stimulating a network associated with externally oriented control (the "FPCN-B") would improve performance on the set switching and working memory task relative to a network associated with attention (the Dorsal Attention Network, DAN) and cranial vertex in a full within-subjects crossover design. We found that set switching performance was enhanced by FPCN-B stimulation along with some evidence of enhancement in the higher-demand n-back conditions. Higher task demands or proactive control might be a distinguishing role of the FPCN-B, and personalized intrinsic network targeting is feasible in TMS designs.

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
布洛芬完成签到,获得积分10
刚刚
刚刚
1秒前
无奈醉柳发布了新的文献求助10
1秒前
领导范儿应助Eva采纳,获得10
2秒前
yuyu完成签到,获得积分10
2秒前
丘比特应助FF采纳,获得10
3秒前
4秒前
香蕉觅云应助小巧的绿凝采纳,获得30
4秒前
Bugu完成签到,获得积分10
4秒前
4秒前
充电宝应助欣欣子采纳,获得10
4秒前
tyh完成签到,获得积分10
4秒前
wxxkx完成签到,获得积分10
4秒前
4秒前
Wang完成签到,获得积分10
4秒前
Whisper发布了新的文献求助10
5秒前
5秒前
5秒前
5秒前
真ikun发布了新的文献求助10
5秒前
5秒前
无花果应助yumin采纳,获得10
6秒前
6秒前
6秒前
浮游应助1234567890采纳,获得10
6秒前
6秒前
6秒前
科研通AI2S应助扶雨至姑苏采纳,获得10
6秒前
6秒前
7秒前
7秒前
7秒前
7秒前
7秒前
张雨完成签到,获得积分10
8秒前
小巧的菲鹰完成签到,获得积分20
8秒前
8秒前
赘婿应助C_采纳,获得10
8秒前
嘻嘻嘻完成签到,获得积分10
9秒前
高分求助中
Inorganic Chemistry Eighth Edition 1200
Standards for Molecular Testing for Red Cell, Platelet, and Neutrophil Antigens, 7th edition 1000
HANDBOOK OF CHEMISTRY AND PHYSICS 106th edition 1000
ASPEN Adult Nutrition Support Core Curriculum, Fourth Edition 1000
The Psychological Quest for Meaning 800
Signals, Systems, and Signal Processing 610
脑电大模型与情感脑机接口研究--郑伟龙 500
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 6303451
求助须知:如何正确求助?哪些是违规求助? 8120119
关于积分的说明 17005167
捐赠科研通 5363328
什么是DOI,文献DOI怎么找? 2848493
邀请新用户注册赠送积分活动 1825953
关于科研通互助平台的介绍 1679821