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绘制与动作、行为抑制和冲动相关的大规模网络。

Mapping Large-Scale Networks Associated with Action, Behavioral Inhibition and Impulsivity.

机构信息

Mental Health Service, VA San Diego Healthcare System, La Jolla, CA 92161.

Department of Psychiatry, University of California San Diego, La Jolla, CA 92093.

出版信息

eNeuro. 2021 Feb 26;8(1). doi: 10.1523/ENEURO.0406-20.2021. Print 2021 Jan-Feb.

Abstract

A key aspect of behavioral inhibition is the ability to wait before acting. Failures in this form of inhibition result in impulsivity and are commonly observed in various neuropsychiatric disorders. Prior evidence has implicated medial frontal cortex, motor cortex, orbitofrontal cortex (OFC), and ventral striatum in various aspects of inhibition. Here, using distributed recordings of brain activity [with local-field potentials (LFPs)] in rodents, we identified oscillatory patterns of activity linked with action and inhibition. Low-frequency (δ) activity within motor and premotor circuits was observed in two distinct networks, the first involved in cued, sensory-based responses and the second more generally in both cued and delayed actions. By contrast, θ activity within prefrontal and premotor regions (medial frontal cortex, OFC, ventral striatum, and premotor cortex) was linked with inhibition. Connectivity at θ frequencies was observed within this network of brain regions. Interestingly, greater connectivity between primary motor cortex (M1) and other motor regions was linked with greater impulsivity, whereas greater connectivity between M1 and inhibitory brain regions (OFC, ventral striatum) was linked with improved inhibition and diminished impulsivity. We observed similar patterns of activity on a parallel task in humans: low-frequency activity in sensorimotor cortex linked with action, θ activity in OFC/ventral prefrontal cortex (PFC) linked with inhibition. Thus, we show that δ and θ oscillations form distinct large-scale networks associated with action and inhibition, respectively.

摘要

行为抑制的一个关键方面是在行动之前等待的能力。这种抑制形式的失败导致冲动,并且在各种神经精神障碍中经常观察到。先前的证据表明,内侧前额叶皮层、运动皮层、眶额皮层(OFC)和腹侧纹状体在抑制的各个方面都有涉及。在这里,我们使用啮齿动物的脑活动分布式记录(局部场电位 [LFPs]),确定了与动作和抑制相关的活动的振荡模式。在两个不同的网络中观察到运动和运动前回路中的低频(δ)活动,第一个网络涉及提示、基于感觉的反应,第二个网络更普遍地涉及提示和延迟的动作。相比之下,前额叶和运动前区域(内侧前额叶皮层、OFC、腹侧纹状体和运动前皮层)内的θ活动与抑制有关。在这个大脑区域网络中观察到θ频率的连接。有趣的是,初级运动皮层(M1)和其他运动区域之间更大的连接性与更高的冲动性有关,而 M1 和抑制性大脑区域(OFC、腹侧纹状体)之间更大的连接性与更好的抑制和减少的冲动性有关。我们在人类的平行任务中观察到了类似的活动模式:感觉运动皮层中的低频活动与动作有关,OFC/腹侧前额叶皮层(PFC)中的θ活动与抑制有关。因此,我们表明,δ和θ振荡分别形成与动作和抑制相关的不同的大规模网络。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f273/7920541/afb98ae294db/SN-ENUJ210021F001.jpg

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