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一生中的脑信号变异性与执行功能

Brain signal variability and executive functions across the life span.

作者信息

Goodman Zachary T, Nomi Jason S, Kornfeld Salome, Bolt Taylor, Saumure Roger A, Romero Celia, Bainter Sierra A, Uddin Lucina Q

机构信息

Department of Psychology, University of Miami, Coral Gables, FL, USA.

Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, USA.

出版信息

Netw Neurosci. 2024 Apr 1;8(1):226-240. doi: 10.1162/netn_a_00347. eCollection 2024.

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 that fluctuate over the life span. Neural variability can be quantified via the BOLD signal in resting-state 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 life span 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 life span. 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 life span. Findings suggest that brain signal variability may help to explain to age-related differences in executive functions across the life span.

摘要

神经变异性被认为通过灵活适应不断变化的环境需求来促进生存。在人类中,这种灵活适应能力可能表现为流体推理、自动反应抑制以及心理定势转换技能,这些技能属于执行功能的广泛范畴,且在整个生命周期中会有所波动。神经变异性可通过静息态功能磁共振成像中的血氧水平依赖(BOLD)信号进行量化。大规模脑网络的变异性被认为是支持需要多个脑区之间相互作用的复杂认知活动的基础。很少有研究考察在整个生命周期中,网络层面的脑信号变异性在多大程度上映射到执行功能范畴内的高级过程。本研究利用一个大型公开可用的神经影像数据集来探究整个生命周期中信号变异性与执行功能之间的关系。脑信号变异性与执行功能之间的关联随年龄而变化。边缘系统特异性变异性始终与执行功能各子成分的更好表现相关。执行功能子成分与默认模式网络和中央执行网络的网络层面变异性以及全脑变异性之间的关联在整个生命周期中各不相同。研究结果表明,脑信号变异性可能有助于解释整个生命周期中执行功能与年龄相关的差异。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bceb/10918754/58ebda42e685/netn-8-1-226-g001.jpg

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