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Catecholaminergic Modulation of Large‐Scale Network Dynamics Is Tied to the Reconfiguration of Corticostriatal Connectivity

机译:大规模网络动力学的儿茶酚胺能调节与皮质纹状体连接的重新配置

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摘要

Large‐scale brain network function is critical for healthy cognition, yet links between such network function, neurochemistry, and smaller‐scale neurocircuitry are unclear. Here, we evaluated 59 healthy individuals using resting‐state fMRI to determine how network‐level temporal dynamics were impacted by two well‐characterized pharmacotherapies targeting catecholamines: methylphenidate (20 mg) and haloperidol (2 mg)—administered via randomized, double‐blind, placebo‐controlled design. Network temporal dynamic changes were tested for links with drug‐induced alterations in complex corticostriatal connections as this circuit is a primary site of action for both drugs. Methylphenidate increased time in the default mode network state (DMN p < 0.001) and dorsal attention network state (DAN p < 0.001) and reduced time in the frontoparietal network state (p < 0.01). Haloperidol increased time in a sensory motor‐DMN state (p < 0.01). The magnitude of change in network dynamics induced by methylphenidate vs. placebo correlated with the magnitude of methylphenidate‐induced rearrangement of complex corticostriatal connectivity (R = 0.32, p = 0.014). Haloperidol did not alter complex corticostriatal connectivity. Methylphenidate enhanced time in network states involved in internal and external attention (DMN and DAN, respectively), aligning with methylphenidate's established role in attention. Methylphenidate also significantly changed complex corticostriatal connectivity by altering the relative strength between multiple corticostriatal connections, indicating that methylphenidate may shift which corticostriatal connections are prioritized relative to others. Findings show that these corticostriatal circuit changes are linked with large‐scale network temporal dynamics. Collectively, these findings provide a deeper understanding of large‐scale network function, set a stage for mechanistic understanding of network engagement, and provide useful information to guide medication use based on network‐level effects. Trial Registration: Registry name: ClinicalTrials.gov; URL: Brain Networks and Addiction Susceptibility—Full Text View—ClinicalTrials.gov; URL Plain text: https://classic.clinicaltrials.gov/ct2/show/NCT01924468; Identifier: NCT01924468
机译:大规模的大脑网络功能对健康的认知至关重要,但这种网络功能、神经化学和较小规模的神经回路之间的联系尚不清楚。在这里,我们使用静息态 fMRI 评估了 59 名健康个体,以确定两种针对儿茶酚胺的明确表征的药物治疗如何影响网络水平的时间动力学:哌醋甲酯 (20 mg) 和氟哌啶醇 (2 mg)——通过随机、双盲、安慰剂对照设计给药。测试了网络时间动态变化与药物诱导的复杂皮质纹状体连接改变的联系,因为该回路是两种药物的主要作用部位。哌醋甲酯增加了默认模式网络状态 (DMN p < 0.001) 和背侧注意网络状态 (DAN p < 0.001) 的时间,减少了额顶网络状态的时间 (p < 0.01)。氟哌啶醇增加了感觉运动 DMN 状态的时间 (p < 0.01)。与安慰剂相比,哌醋甲酯诱导的网络动力学变化幅度与哌醋甲酯诱导的复杂皮质纹状体连接重排幅度相关 (R = 0.32,p = 0.014)。氟哌啶醇不改变复杂的皮质纹状体连接。哌醋甲酯增强了涉及内部和外部注意力(分别为 DMN 和 DAN)的网络状态的时间,与哌醋甲酯在注意力中的既定作用一致。哌醋甲酯还通过改变多个皮质纹状体连接之间的相对强度而显着改变了复杂的皮质纹状体连接,表明哌醋甲酯可能会改变哪些皮质纹状体连接相对于其他连接更优先。研究结果表明,这些皮质纹状体回路变化与大规模网络时间动力学有关。总的来说,这些发现提供了对大规模网络功能的更深入理解,为网络参与的机制理解奠定了基础,并为根据网络水平效应指导药物使用提供了有用的信息。试用注册:注册名称:ClinicalTrials.gov;URL:大脑网络和成瘾易感性—全文视图—ClinicalTrials.gov;URL 纯文本:https://classic.clinicaltrials.gov/ct2/show/NCT01924468;标识符:NCT01924468

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