任务难度调节单词生成过程中功能连接的年龄相关差异

IF 2.1 2区 心理学 Q1 AUDIOLOGY & SPEECH-LANGUAGE PATHOLOGY Brain and Language Pub Date : 2023-05-01 DOI:10.1016/j.bandl.2023.105263
Haoyun Zhang , Michele T. Diaz
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引用次数: 0

摘要

老年人通常报告说语言产生的困难增加,而其神经基础则不太清楚。本研究以任务型功能连通性为研究重点,探讨了词汇水平语言生成年龄差异的神经基础和任务难度的调节作用。使用英语语音的Go/No-Go图片命名任务,通过改变命名试验(Go试验)和抑制试验(No-Go试验)的比例来操纵任务难度。在行为上,与年轻人相比,老年人的表现更差,任务难度的影响更大。在神经方面,与年轻人相比,老年人的语言网络连通性较低。此外,随着任务难度的增加,老年人的语言网络变得不那么孤立。这些结果与补偿相关的神经回路利用假说一致,表明大脑随着任务难度的增加而变得不那么特定和高效,并且这些影响在老年人中更强(即更多的去分化)。
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Task difficulty modulates age-related differences in functional connectivity during word production

Older adults typically report increased difficulty with language production, while its neural bases are less clear. The current study investigated the neural bases of age-related differences in language production at the word level and the modulating effect of task difficulty, focusing on task-based functional connectivity. Using an English phonological Go/No-Go picture naming task, task difficulty was manipulated by varying the proportion of naming trials (Go trials) and inhibition trials (No-Go trials) across runs. Behaviorally, compared to younger adults, older adults performed worse, and showed larger effects of task difficulty. Neurally, older adults had lower within language network connectivity compared to younger adults. Moreover, older adults’ language network became less segregated as task difficulty increased. These results are consistent with the Compensation-Related Utilization of Neural Circuits Hypothesis, suggesting that the brain becomes less specified and efficient with increased task difficulty, and that these effects are stronger among older adults (i.e., more dedifferentiated).

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来源期刊
Brain and Language
Brain and Language 医学-神经科学
CiteScore
4.50
自引率
8.00%
发文量
82
审稿时长
20.5 weeks
期刊介绍: An interdisciplinary journal, Brain and Language publishes articles that elucidate the complex relationships among language, brain, and behavior. The journal covers the large variety of modern techniques in cognitive neuroscience, including functional and structural brain imaging, electrophysiology, cellular and molecular neurobiology, genetics, lesion-based approaches, and computational modeling. All articles must relate to human language and be relevant to the understanding of its neurobiological and neurocognitive bases. Published articles in the journal are expected to have significant theoretical novelty and/or practical implications, and use perspectives and methods from psychology, linguistics, and neuroscience along with brain data and brain measures.
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