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健康衰老过程中流体智力功能补偿的神经证据。

Neural evidence of functional compensation for fluid intelligence in healthy ageing.

作者信息

Knights Ethan, Henson Richard N, Morcom Alexa, Mitchell Daniel J, Tsvetanov Kamen A

机构信息

Medical Research Council Cognition and Brain Sciences Unit, Cambridge, United Kingdom.

Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom.

出版信息

Elife. 2025 Jan 8;13:RP93327. doi: 10.7554/eLife.93327.

Abstract

Functional compensation is a common notion in the neuroscience of healthy ageing, whereby older adults are proposed to recruit additional brain activity to compensate for reduced cognitive function. However, whether this additional brain activity in older participants actually helps their cognitive performance remains debated. We examined brain activity and cognitive performance in a human lifespan sample ( = 223) while they performed a problem-solving task (based on Cattell's test of fluid intelligence) during functional magnetic resonance imaging. Whole-brain univariate analysis revealed that activity in bilateral cuneal cortex for hard vs. easy problems increased both with age and with performance, even when adjusting for an estimate of age-related differences in cerebrovascular reactivity. Multivariate Bayesian decoding further demonstrated that age increased the likelihood that activation patterns in this cuneal region provided non-redundant information about the two task conditions, beyond that of the multiple demand network generally activated in this task. This constitutes some of the strongest evidence yet for functional compensation in healthy ageing, at least in this brain region during visual problem-solving.

摘要

功能补偿是健康老龄化神经科学中的一个常见概念,该概念认为老年人会通过募集额外的大脑活动来补偿认知功能的下降。然而,老年参与者的这种额外大脑活动是否真的有助于他们的认知表现仍存在争议。我们在一个涵盖人类整个生命周期的样本(N = 223)中,让他们在功能磁共振成像期间执行一项解决问题的任务(基于卡特尔的流体智力测试),以此来检测大脑活动和认知表现。全脑单变量分析显示,无论是难题还是简单题,双侧楔叶皮层的活动都会随着年龄和表现的增加而增强,即使在对与年龄相关的脑血管反应性差异进行估计调整之后也是如此。多变量贝叶斯解码进一步表明,年龄增加了楔叶区域激活模式提供有关两种任务条件非冗余信息的可能性,这超出了该任务中通常激活的多重需求网络所提供的信息。这构成了迄今为止关于健康老龄化功能补偿的一些最有力证据,至少在视觉问题解决过程中的这个脑区是如此。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ccde/11709430/ff5acc0d5063/elife-93327-fig1.jpg

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