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Interrelation of resting state functional connectivity, striatal GABA levels, and cognitive control processes

机译:休息状态功能连接,纹状体GABA水平和认知控制过程的相互关系

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摘要

Important issues for cognitive control are response selection processes, known to depend on fronto-striatal networks with recent evidence suggesting that striatal gamma-amino butyric acid (GABA) levels play an important role. Regional GABA concentrations have also been shown to modulate intrinsic connectivity, e.g. of the default mode network. However, the interrelation between striatal GABA levels, basal ganglia network (BGN) connectivity, and performance in cognitive control is elusive. In the current study, we measure striatal GABA levels using magnetic resonance spectroscopy (MRS) and resting state parameters using functional magnetic resonance imaging (fMRI). Resting state parameters include activity within the BGN, as determined by the low frequency power (LFP) within the network, and the functional connectivity between the BGN and somatomotor network (SMN). Specifically, we examine the interrelation between GABA, resting state parameters, and performance (i.e., accuracy) in conflict monitoring using a Simon task. Response control was affected by striatal GABA+ levels and activity within the BGN, especially when response selection was complicated by altered stimulus-response mappings. The data suggest that there are two mechanisms supporting response selection accuracy. One is related to resting state activity within the BGN and modulated by striatal GABA+ levels. The other is related to decreased cortico-striatal network connectivity, unrelated to the GABAergic system. The inclusion of all three factors (i.e., striatal GABA+ levels, activity within the BGN, and BGN-SMN network connectivity) explained a considerable amount of variance in task accuracy. Striatal neurobiochemical (GABA+) and parameters of the resting state BGN represent important modulators of response control. Hum Brain Mapp 36:4383-4393, 2015. (c) 2015 Wiley Periodicals, Inc.
机译:认知控制的重要问题是应答选择过程,已知依赖于额纹状体网络,最近的证据表明,纹状体γ-氨基丁酸(GABA)水平起着重要作用。还显示出区域GABA浓度可调节内在连通性,例如的默认模式网络。然而,纹状体GABA水平,基底神经节网络(BGN)连通性和认知控制表现之间的相互关系是难以捉摸的。在当前的研究中,我们使用磁共振波谱(MRS)测量纹状体GABA水平,并使用功能磁共振成像(fMRI)测量静息状态参数。静止状态参数包括BGN内的活动(由网络内的低频功率(LFP)确定)以及BGN和体动网络(SMN)之间的功能连接。具体而言,我们研究了使用Simon任务进行冲突监控时GABA,静止状态参数和性能(即准确性)之间的相互关系。反应控制受到纹状体GABA +水平和BGN内活性的影响,特别是当反应选择因刺激反应图谱的改变而复杂化时。数据表明,有两种机制支持响应选择准确性。一种与BGN内的静止状态活动有关,并受纹状体GABA +水平调节。另一个与皮质-纹状体网络连通性下降有关,与GABA能系统无关。包括所有三个因素(即纹状体GABA +水平,BGN内的活动以及BGN-SMN网络连通性)说明了任务准确性的巨大差异。纹状体神经生化(GABA +)和静止状态BGN的参数代表了反应控制的重要调节剂。嗡嗡声大脑Mapp 36:4383-4393,2015.(c)2015 Wiley Periodicals,Inc.

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