Reading anxiety modulates the functional connectivity of the reading-related network during adult reading

IF 2.1 2区心理学 Q1 AUDIOLOGY & SPEECH-LANGUAGE PATHOLOGY Brain and Language Pub Date : 2023-07-01 DOI:10.1016/j.bandl.2023.105278

Hehui Li , Binke Yuan , Yue-Jia Luo , Jie Liu

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Abstract

Researchers have studied cognitive and linguistic skills in predicting reading abilities, but the impact of affective factors such as anxiety on reading at the neurobiological level is not well understood. Here, we used functional magnetic resonance imaging to investigate the neural correlates of reading anxiety in adult readers performing a semantic judgment task. The results showed that reading anxiety was significantly correlated with response time but not with accuracy. Neurobiologically, functional connectivity strength rather than activation level of semantic-related areas significantly predicted reading anxiety. Activation of regions (i.e., the right putamen and right precentral gyrus) external to the semantic-related areas positively correlated with reading anxiety levels. These findings suggest that reading anxiety influences adult reading by modulating functional connections of semantic-related areas and brain activation of semantic-unrelated areas. This study provides insights into the neural mechanisms underlying reading anxiety experienced by adult readers.

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阅读焦虑调节成人阅读过程中阅读相关网络的功能连接

研究人员研究了预测阅读能力的认知和语言技能，但在神经生物学层面上，焦虑等情感因素对阅读的影响尚不清楚。在这里，我们使用功能磁共振成像来研究执行语义判断任务的成年读者阅读焦虑的神经相关性。结果表明，阅读焦虑与反应时间显著相关，但与准确性无关。神经生物学上，功能连接强度而非语义相关区域的激活水平显著预测阅读焦虑。语义相关区域外部区域（即右壳核和右中央前回）的激活与阅读焦虑水平呈正相关。这些发现表明，阅读焦虑通过调节语义相关区域的功能连接和大脑对语义无关区域的激活来影响成人阅读。这项研究深入了解了成年读者阅读焦虑的神经机制。

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来源期刊

Brain and Language 医学-神经科学

CiteScore

4.50

自引率

8.00%

发文量

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.