多巴胺信号调节大脑内在网络的稳定性和整合

G. Shafiei, Y. Zeighami, C. Clark, J. Coull, A. Nagano-Saito, M. Leyton, A. Dagher, B. Mišić
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引用次数: 83

摘要

多巴胺能投射被假设为稳定神经信号和神经表征,但它们如何塑造区域信息处理和大规模网络相互作用尚不清楚。在这里,我们研究了多巴胺水平降低对健康大脑休息时区域内时间信号变异性(通过样本熵测量)和区域间功能连通性(通过两两时间相关性测量)的影响。采用急性苯丙氨酸和酪氨酸耗损(APTD)方法对51名接受静息状态功能磁共振成像(fMRI)扫描的健康参与者进行多巴胺合成降低。对每个参与者的功能连通性和区域信号变异性进行了估计。多变量偏最小二乘(PLS)分析用于统计评估与平衡对照治疗相比,APTD后信号变异性的变化。该分析捕获了多巴胺耗竭后区域信号变异性增加的模式。血流动力学信号变异性的变化伴随着功能连通性的变化,因此多巴胺耗竭后信号变异性增加最大的节点也经历了功能连通性的最大下降。我们的研究结果表明,多巴胺可能起到稳定神经信号的作用,特别是在与运动功能和将注意力定向到行为相关刺激的网络中。此外,多巴胺依赖的信号变异性与大规模网络中单个区域的功能嵌入密切相关。
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Dopamine Signaling Modulates the Stability and Integration of Intrinsic Brain Networks
Dopaminergic projections are hypothesized to stabilize neural signaling and neural representations, but how they shape regional information processing and large-scale network interactions remains unclear. Here we investigated effects of lowered dopamine levels on within-region temporal signal variability (measured by sample entropy) and between-region functional connectivity (measured by pairwise temporal correlations) in the healthy brain at rest. The acute phenylalanine and tyrosine depletion (APTD) method was used to decrease dopamine synthesis in 51 healthy participants who underwent resting-state functional MRI (fMRI) scanning. Functional connectivity and regional signal variability were estimated for each participant. Multivariate partial least squares (PLS) analysis was used to statistically assess changes in signal variability following APTD as compared to the balanced control treatment. The analysis captured a pattern of increased regional signal variability following dopamine depletion. Changes in hemodynamic signal variability were concomitant with changes in functional connectivity, such that nodes with greatest increase in signal variability following dopamine depletion also experienced greatest decrease in functional connectivity. Our results suggest that dopamine may act to stabilize neural signaling, particularly in networks related to motor function and orienting attention towards behaviorally-relevant stimuli. Moreover, dopaminedependent signal variability is critically associated with functional embedding of individual areas in large-scale networks.
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