Effects of age, gender, and education on task performance and prefrontal cortex processing during emotional and non-emotional verbal fluency tests

IF 2.1 2区 心理学 Q1 AUDIOLOGY & SPEECH-LANGUAGE PATHOLOGY
Michael K. Yeung
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Abstract

The emotional semantic fluency test (SFT) is an emerging verbal fluency test that requires controlled access to emotional lexical information. Currently, how demographic variables influence neurocognitive processing during this test remains elusive. The present study compared the effects of age, gender, and education on task performance and prefrontal cortex (PFC) processing during the non-emotional and emotional SFTs. One-hundred and thirty-three Cantonese-speaking adults aged 18–79 performed the non-emotional and emotional SFTs while their PFC activation was measured using functional near-infrared spectroscopy. Results showed that more education predicted better non-emotional SFT performance, whereas younger age, being female, and more education predicted better emotional SFT performance. Only age significantly affected PFC activation during the SFTs, and the effect was comparable between the two SFTs. Thus, compared with its non-emotional analog, the emotional SFT is influenced by overlapping yet distinct demographic variables. There is a similar age-related reorganization of PFC function across SFT performances.

在情绪和非情绪言语流利性测试中,年龄、性别和教育对任务表现和前额叶皮层处理的影响。
情感语义流利性测试(SFT)是一种新兴的语言流利性测试,需要控制对情感词汇信息的访问。目前,人口统计学变量如何影响这项测试中的神经认知处理仍然难以捉摸。本研究比较了年龄、性别和教育对非情绪和情绪SFT期间任务表现和前额叶皮层(PFC)处理的影响。133名年龄在18-79岁的讲广东话的成年人进行了非情感和情感SFT,同时使用功能性近红外光谱测量了他们的PFC激活。结果表明,受教育程度越高,非情绪性SFT表现越好,而年龄越小,女性受教育程度越多,非情绪化SFT表现就越好。在SFT期间,只有年龄显著影响PFC的激活,并且两种SFT之间的效果相当。因此,与非情绪类似物相比,情绪SFT受到重叠但不同的人口统计学变量的影响。在SFT性能中,PFC功能也存在类似的年龄相关重组。
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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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