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伏隔核中谷氨酰胺与谷氨酸的比例可预测人类基于努力的动机行为表现。

Glutamine-to-glutamate ratio in the nucleus accumbens predicts effort-based motivated performance in humans.

作者信息

Strasser Alina, Luksys Gediminas, Xin Lijing, Pessiglione Mathias, Gruetter Rolf, Sandi Carmen

机构信息

Laboratory of Behavioral Genetics (LGC), Brain Mind Institute (BMI), Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.

Centre for Discovery Brain Sciences (CDBS), University of Edinburgh, Edinburgh, UK.

出版信息

Neuropsychopharmacology. 2020 Nov;45(12):2048-2057. doi: 10.1038/s41386-020-0760-6. Epub 2020 Jul 20.

Abstract

Substantial evidence implicates the nucleus accumbens in motivated performance, but very little is known about the neurochemical underpinnings of individual differences in motivation. Here, we applied H magnetic resonance spectroscopy (H-MRS) at ultra-high-field in the nucleus accumbens and inquired whether levels of glutamate (Glu), glutamine (Gln), GABA or their ratios predict interindividual differences in effort-based motivated task performance. Given the incentive value of social competition, we also examined differences in performance under self-motivated or competition settings. Our results indicate that higher accumbal Gln-to-Glu ratio predicts better overall performance and reduced effort perception. As performance is the outcome of multiple cognitive, motor and physiological processes, we applied computational modeling to estimate best-fitting individual parameters related to specific processes modeled with utility, effort and performance functions. This model-based analysis revealed that accumbal Gln-to-Glu ratio specifically relates to stamina; i.e., the capacity to maintain performance over long periods. It also indicated that competition boosts performance from task onset, particularly for low Gln-to-Glu individuals. In conclusion, our findings provide novel insights implicating accumbal Gln and Glu balance on the prediction of specific computational components of motivated performance. This approach and findings can help developing therapeutic strategies based on targeting metabolism to ameliorate deficits in effort engagement.

摘要

大量证据表明伏隔核与动机驱动的行为表现有关,但对于动机方面个体差异的神经化学基础却知之甚少。在此,我们在超高场强下对伏隔核进行了氢磁共振波谱分析(H-MRS),并探究谷氨酸(Glu)、谷氨酰胺(Gln)、γ-氨基丁酸(GABA)的水平或其比例是否能预测基于努力的动机驱动任务表现中的个体差异。鉴于社会竞争的激励价值,我们还研究了在自我激励或竞争环境下的表现差异。我们的结果表明,伏隔核中较高的谷氨酰胺与谷氨酸比例预示着更好的整体表现和更低的努力感知。由于行为表现是多种认知、运动和生理过程的结果,我们应用计算模型来估计与用效用、努力和表现函数建模的特定过程相关的最佳拟合个体参数。这种基于模型的分析表明,伏隔核中谷氨酰胺与谷氨酸的比例特别与耐力相关;即长时间维持表现的能力。它还表明,竞争从任务开始就会提高表现,特别是对于谷氨酰胺与谷氨酸比例低的个体。总之,我们的研究结果提供了新的见解,表明伏隔核中谷氨酰胺和谷氨酸的平衡对动机驱动表现的特定计算成分具有预测作用。这种方法和研究结果有助于开发基于靶向代谢来改善努力参与缺陷的治疗策略。

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