Quantifying flexibility in thought: The resiliency of semantic networks differs across the lifespan.

Quantifying flexibility in thought: The resiliency of semantic networks differs across the lifespan.
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DOI:
10.1016/j.cognition.2021.104631
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发表时间:
2021-06
期刊:
影响因子:
3.4
通讯作者:
Diaz MT
Diaz MT
中科院分区:
心理学2区
文献类型:
--
作者:
Cosgrove AL;Kenett YN;Beaty RE;Diaz MT

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与年轻人相比,老年人的词汇量更大,这表明他们储存了更丰富的语义知识,但他们的检索能力随着年龄的增长而下降。近年来,基于网络科学的定量方法研究了年龄对语义记忆结构的影响。然而,这是尚未确定的语义记忆结构的老化影响如何涉及到其整体的灵活性。逾渗分析通过检查语义记忆网络如何抵抗“攻击”或分裂,提供了语义网络灵活性的定量测量。在这项研究中,我们采用渗透分析来研究年轻人和老年人的语义网络是如何分裂的,以研究语言产生中与年龄相关的潜在差异。我们应用渗透分析3个独立的数据集(总N = 78年轻人,78老年人),我们产生的语义网络的基础上,语言流畅性的表现。在所有3个数据集中,年轻人的渗透积分都大于老年人,这表明老年人的语义网络比年轻人的语义网络更不灵活,而且崩溃得更快。我们的研究结果提供了定量的证据,老年人的语义网络的灵活性下降,尽管语义知识的稳定性在整个生命周期。这可能是语言产生中与年龄相关的差异的一个因素。
Older adults tend to have a broader vocabulary compared to younger adults – indicating a richer storage of semantic knowledge – but their retrieval abilities decline with age. Recent advances in quantitative methods based on network science have investigated the effect of aging on semantic memory structure. However, it is yet to be determined how this aging effect on semantic memory structure relates to its overall flexibility. Percolation analysis provides a quantitative measure of the flexibility of a semantic network, by examining how a semantic memory network is resistant to “attacks” or breaking apart. In this study, we incorporated percolation analyses to examine how semantic networks of younger and older adults break apart to investigate potential age-related differences in language production. We applied the percolation analysis to 3 independent sets of data (total N = 78 younger, 78 older adults) from which we generated semantic networks based on verbal fluency performance. Across all 3 datasets, the percolation integrals of the younger adults were larger than older adults, indicating that older adults’ semantic networks were less flexible and broke down faster than the younger adults’. Our findings provide quantitative evidence for diminished flexibility in older adults’ semantic networks, despite the stability of semantic knowledge across the lifespan. This may be one contributing factor to age-related differences in language production.
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