默认模式和运动网络促进了内隐运动序列的早期学习:一项多模态磁共振光谱和功能磁共振成像研究。

IF 4.4 2区 医学 Q1 NEUROSCIENCES
Joshua Hendrikse, Emily Brooks, Sarah Wallis, Dylan Curtin, Nigel C Rogasch, Murat Yücel, Mana Biabani, Charlotte J Stagg, Mark Bellgrove, Richard McIntyre, Chao Suo, James Coxon
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引用次数: 0

摘要

学习新的运动技能是一个基本的过程,涉及到行动的顺序。技能随着练习和时间的推移而发展,表现为快速准确的表现。虽然我们知道学习可以在没有意识意识的情况下通过内隐过程发生,并且跨越多个时间尺度,但介导内隐运动序列学习的精确神经机制仍然知之甚少。同样,对学习和记忆有已知影响的干预措施(如心血管运动)促进内隐学习的能力尚未明确确立。本研究探讨了内隐动作序列学习的神经可塑性和急性运动启动的影响。将年龄为22.55±2.69岁的健康成年人(39.5%为女性)分为高强度间歇训练(HIIT)运动组(n = 16)和极低强度对照组(n = 17)。运动参与者完成一系列反应时间任务后,在运动前后和任务执行期间获得感觉运动GABA的磁共振(MR)波谱估计,并在方案结束时获得静息状态功能磁共振成像(fMRI)。我们发现,学习的早期阶段与默认模式网络连接有关,而持续练习后的整体学习程度与运动网络连接有关。感觉运动GABA浓度与学习的早期阶段有关,并且GABA浓度在HIIT后被调节,尽管两者并不相关。总的来说,通过多种神经成像模式的整合,我们证明了海马体和运动网络之间的相互作用是内隐运动序列学习的基础。关键点:运动学习发生在不同的时间尺度上,可以在没有意识意识的情况下隐性地产生。外显运动学习与大脑的主要抑制性神经递质GABA以及运动和海马体网络的相互作用有关。这些相同的神经机制是否与内隐学习有关尚不清楚。同样,通过启动心血管运动影响内隐学习的能力尚未明确确立。我们发现,早期内隐学习是由默认模式网络连接和感觉运动GABA浓度支持的,而持续练习后的整体学习与运动网络连接有关。我们还发现,高强度间歇训练(HIIT)可以提高感觉运动GABA的浓度,但不会提高内隐学习的强度。总的来说,我们的结果强调了默认模式和运动网络在内隐运动序列学习中的共同参与。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Default mode and motor networks facilitate early learning of implicit motor sequences: a multimodal MR spectroscopy and fMRI study.

Learning new motor skills is a fundamental process that involves the sequencing of actions. Skill develops with practice and time and manifests as performance that is fast and accurate. Although we know that learning can occur through an implicit process in the absence of conscious awareness, and across multiple temporal scales, the precise neural mechanisms mediating implicit motor sequence learning remain poorly understood. Similarly the capacity for interventions with known influence on learning and memory, such as cardiovascular exercise, to facilitate implicit learning is yet to be clearly established. Here we investigated the neuroplasticity of implicit motor sequence learning and the effect of acute exercise priming. Healthy adults (39.5% female) aged 22.55 ± 2.69 years were allocated to either a high-intensity interval training (HIIT) exercise group (n = 16) or to a very low-intensity control group (n = 17). After exercise participants performed a serial reaction time task, magnetic resonance (MR) spectroscopy estimates of sensorimotor GABA were acquired before and after exercise and during task performance, and resting-state functional magnetic resonance imaging (fMRI) was acquired at the end of the protocol. We show that early stages of learning are linked to default mode network connectivity, whereas the overall degree of learning following sustained practice is associated with motor network connectivity. Sensorimotor GABA concentration was linked to the early stages of learning, and GABA concentration was modulated following HIIT, although the two were not related. Overall through the integration of multiple neuroimaging modalities we demonstrate that interactions between hippocampal and motor networks underlie implicit motor sequence learning. KEY POINTS: Motor learning occurs across different temporal scales and can arise implicitly in the absence of conscious awareness. Explicit motor learning is linked to the brain's primary inhibitory neurotransmitter, GABA and interactions across motor and hippocampal networks. Whether these same neural mechanisms are implicated in implicit learning is unclear. Similarly the capacity to influence implicit learning via priming with cardiovascular exercise is yet to be clearly established. We show that early implicit learning is underpinned by default mode network connectivity and sensorimotor GABA concentration, whereas total learning following sustained practice is linked to motor network connectivity. We also found that high-intensity interval training (HIIT) exercise elevated sensorimotor GABA concentration, but not the magnitude of implicit learning. Overall our results highlight shared involvement of default mode and motor networks in implicit motor sequence learning.

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来源期刊
Journal of Physiology-London
Journal of Physiology-London 医学-神经科学
CiteScore
9.70
自引率
7.30%
发文量
817
审稿时长
2 months
期刊介绍: The Journal of Physiology publishes full-length original Research Papers and Techniques for Physiology, which are short papers aimed at disseminating new techniques for physiological research. Articles solicited by the Editorial Board include Perspectives, Symposium Reports and Topical Reviews, which highlight areas of special physiological interest. CrossTalk articles are short editorial-style invited articles framing a debate between experts in the field on controversial topics. Letters to the Editor and Journal Club articles are also published. All categories of papers are subjected to peer reivew. The Journal of Physiology welcomes submitted research papers in all areas of physiology. Authors should present original work that illustrates new physiological principles or mechanisms. Papers on work at the molecular level, at the level of the cell membrane, single cells, tissues or organs and on systems physiology are all acceptable. Theoretical papers and papers that use computational models to further our understanding of physiological processes will be considered if based on experimentally derived data and if the hypothesis advanced is directly amenable to experimental testing. While emphasis is on human and mammalian physiology, work on lower vertebrate or invertebrate preparations may be suitable if it furthers the understanding of the functioning of other organisms including mammals.
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