Brain Signal Variability and Executive Functions Across the Lifespan

IF 3.6 3区 医学 Q2 NEUROSCIENCES Network Neuroscience Pub Date : 2023-11-01 DOI:10.1162/netn_a_00347
Zachary T. Goodman, Jason S. Nomi, Salome Kornfeld, Taylor Bolt, Roger A. Saumure, Celia Romero, Sierra A. Bainter, Lucina Q. Uddin
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Abstract

Abstract Neural variability is thought to facilitate survival through flexible adaptation to changing environmental demands. In humans, such capacity for flexible adaptation may manifest as fluid reasoning, inhibition of automatic responses, and mental set-switching – skills falling under the broad domain of executive functions which fluctuate over the lifespan. Neural variability can be quantified via the blood-oxygenated level-dependent (BOLD) signal in resting-state functional magnetic resonance imaging (fMRI). Variability of large-scale brain networks is posited to underpin complex cognitive activities requiring interactions between multiple brain regions. Few studies have examined the extent to which network-level brain signal variability across the lifespan maps onto high-level processes under the umbrella of executive functions. The present study leveraged a large publicly available neuroimaging dataset to investigate the relationship between signal variability and executive functions across the lifespan. Associations between brain signal variability and executive functions shifted as a function of age. Limbic-specific variability was consistently associated with greater performance across subcomponents of executive functions. Associations between executive function subcomponents and network-level variability of the default mode and central executive networks, as well as whole-brain variability, varied across the lifespan. Findings suggest brain signal variability may help to explain to age-related differences in executive functions across the lifespan.
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大脑信号变异性和整个生命周期的执行功能
神经变异性被认为通过灵活地适应不断变化的环境需求来促进生存。在人类中,这种灵活适应的能力可能表现为流畅的推理、对自动反应的抑制和思维转换——这些技能属于执行功能的广泛领域,在整个生命周期中波动。神经变异性可以通过静息状态功能磁共振成像(fMRI)中的血氧水平依赖(BOLD)信号来量化。大规模大脑网络的可变性被认为是复杂认知活动的基础,需要多个大脑区域之间的相互作用。很少有研究考察了在执行功能的保护伞下,整个生命周期中网络级的大脑信号变异性在多大程度上映射到高级过程。目前的研究利用了一个大型的公开的神经成像数据集来调查整个生命周期中信号变异性和执行功能之间的关系。大脑信号变异性和执行功能之间的联系随着年龄的变化而变化。大脑边缘特定的可变性始终与执行功能子组件的更好表现有关。执行功能子组件与默认模式和中央执行网络的网络水平变异性以及全脑变异性之间的关联在整个生命周期中都有所不同。研究结果表明,大脑信号的变化可能有助于解释与年龄相关的执行功能在整个生命周期中的差异。
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来源期刊
Network Neuroscience
Network Neuroscience NEUROSCIENCES-
CiteScore
6.40
自引率
6.40%
发文量
68
审稿时长
16 weeks
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