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通过功能磁共振成像数据的独立成分分析揭示的主动和反应性反应抑制的常见和独特神经网络。

Common and unique neural networks for proactive and reactive response inhibition revealed by independent component analysis of functional MRI data.

作者信息

van Belle Janna, Vink Matthijs, Durston Sarah, Zandbelt Bram B

机构信息

Brain Centre Rudolf Magnus, Department of Psychiatry, University Medical Centre Utrecht, The Netherlands.

Brain Centre Rudolf Magnus, Department of Psychiatry, University Medical Centre Utrecht, The Netherlands.

出版信息

Neuroimage. 2014 Dec;103:65-74. doi: 10.1016/j.neuroimage.2014.09.014. Epub 2014 Sep 16.

DOI:10.1016/j.neuroimage.2014.09.014
PMID:25224995
Abstract

Response inhibition involves proactive and reactive modes. Proactive inhibition is goal-directed, triggered by warning cues, and serves to restrain actions. Reactive inhibition is stimulus-driven, triggered by salient stop-signals, and used to stop actions completely. Functional MRI studies have identified brain regions that activate during proactive and reactive inhibition. It remains unclear how these brain regions operate in functional networks, and whether proactive and reactive inhibition depend on common networks, unique networks, or a combination. To address this we analyzed a large fMRI dataset (N=65) of a stop-signal task designed to measure proactive and reactive inhibition, using independent component analysis (ICA). We found 1) three frontal networks that were associated with both proactive and reactive inhibition, 2) one network in the superior parietal lobe, which also included dorsal premotor cortex and left putamen, that was specifically associated with proactive inhibition, and 3) two right-lateralized frontal and fronto-parietal networks, including the right inferior frontal gyrus and temporoparietal junction as well as a bilateral fronto-temporal network that were uniquely associated with reactive inhibition. Overlap between networks was observed in dorsolateral prefrontal and parietal cortices. Taken together, we offer a new perspective on the neural underpinnings of inhibitory control, by showing that proactive inhibition and reactive inhibition are supported by a group of common and unique networks that appear to integrate and interact in frontoparietal areas.

摘要

反应抑制涉及主动和反应模式。主动抑制是目标导向的,由警告信号触发,用于抑制行动。反应抑制是由显著的停止信号驱动的,用于完全停止行动。功能磁共振成像研究已经确定了在主动和反应抑制过程中激活的脑区。目前尚不清楚这些脑区在功能网络中是如何运作的,以及主动和反应抑制是否依赖于共同的网络、独特的网络或两者的组合。为了解决这个问题,我们使用独立成分分析(ICA)分析了一个大型功能磁共振成像数据集(N = 65),该数据集来自一个旨在测量主动和反应抑制的停止信号任务。我们发现:1)三个额叶网络与主动和反应抑制都相关;2)一个位于顶上叶的网络,其中还包括背侧运动前皮层和左侧壳核,该网络与主动抑制特别相关;3)两个右侧化的额叶和额顶网络,包括右下额叶回和颞顶交界区,以及一个双侧额颞网络,它们与反应抑制独特相关。在背外侧前额叶和顶叶皮层观察到网络之间的重叠。综上所述,我们通过表明主动抑制和反应抑制由一组共同和独特的网络支持,这些网络似乎在前额叶顶叶区域整合和相互作用,为抑制控制的神经基础提供了一个新的视角。

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