Enhancing Cognitive Control with Transcranial Magnetic Stimulation in Subject-Specific Frontoparietal Networks

心理学 磁刺激 任务切换 认知 斯特罗普效应 工作记忆 神经科学 认知心理学 集合(抽象数据类型) 任务正网络 任务(项目管理) 功能磁共振成像 脑刺激 认知神经科学 刺激 默认模式网络 计算机科学 管理 经济 程序设计语言
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]
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.
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