Aging modulates the impact of cognitive interference subtypes on dynamic connectivity across a distributed motor network.

IF 4.1 Q2 GERIATRICS & GERONTOLOGY npj aging Pub Date : 2024-11-23 DOI:10.1038/s41514-024-00182-0
Jake J Son, Yasra Arif, Hannah J Okelberry, Hallie J Johnson, Madelyn P Willett, Alex I Wiesman, Tony W Wilson
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Abstract

Research has shown age-related declines in cognitive control in the context of interference, but these studies have focused on frontoparietal networks and less is known about impacts on motor response-related dynamics in the face of distractors. Thus, we examined whether healthy aging affected connectivity between attention networks and motor circuitry using a multisource interference task and magnetoencephalography in 72 healthy-aging participants (28-63 years-old). Our results indicated stronger beta connectivity with increasing age between bilateral primary motor (M1) and occipital cortices, as well as stronger gamma fronto-motor connectivity during flanker-type interference. Regarding Simon-type interference, stronger beta interactions were observed between left M1 and right temporal and right M1 and left parietal with increasing age. Finally, the superadditivity effect (flanker + Simon presented simultaneously) indicated weaker beta connectivity between right M1 and left premotor with increasing age. These findings suggest exhaustion of age-related compensatory adaptations in the fronto-parieto-motor network with greater interference.

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衰老调节认知干扰亚型对分布式运动网络动态连接的影响。
研究表明,在干扰的情况下,认知控制能力会随着年龄的增长而下降,但这些研究主要集中在前顶叶网络,而对面对干扰因素时运动反应相关动态的影响却知之甚少。因此,我们使用多源干扰任务和脑磁图对 72 名健康老龄参与者(28-63 岁)进行了研究,以了解健康老龄化是否会影响注意力网络和运动回路之间的连接。我们的研究结果表明,随着年龄的增长,双侧初级运动皮层(M1)和枕叶皮层之间的β连通性会增强,在侧翼干扰时,伽马前运动连通性也会增强。在西蒙型干扰中,随着年龄的增长,左侧 M1 和右侧颞叶之间以及右侧 M1 和左侧顶叶之间的β交互作用增强。最后,超叠加效应(同时出现侧翼干扰和西蒙干扰)表明,随着年龄的增长,右侧 M1 和左侧运动前叶之间的贝塔连通性会减弱。这些研究结果表明,随着年龄的增长,与年龄相关的前运动-副运动网络的补偿性适应能力会随着干扰的增加而衰竭。
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CiteScore
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期刊最新文献
Decoding senescence of aging single cells at the nexus of biomaterials, microfluidics, and spatial omics. Association between gut microbiota and locomotive syndrome risk in healthy Japanese adults: a cross-sectional study. Predicting poor performance on cognitive tests among older adults using wearable device data and machine learning: a feasibility study. Aging modulates the impact of cognitive interference subtypes on dynamic connectivity across a distributed motor network. Emerging insights in senescence: pathways from preclinical models to therapeutic innovations.
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