IF 2.1 2区 心理学 Q1 AUDIOLOGY & SPEECH-LANGUAGE PATHOLOGY Brain and Language Pub Date : 2025-01-24 DOI:10.1016/j.bandl.2025.105537
Miaomiao Zhu, Qing Cai
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引用次数: 0

摘要

不同功能的半球特化被认为会带来进化上的益处,然而侧化对行为的影响及其认知和神经机制仍不清楚。本研究调查了语言和空间注意之间的侧化模式对双任务表现的影响及其与胼胝体连接的关联。研究使用 fMRI 语言流畅性和地标任务评估功能侧化,并通过扩散加权成像评估半球间连接。与共侧化模式(两个功能都侧向一个半球)相比,典型的侧化模式提高了整体表现,减少了双重任务的干扰。然而,在镜像模式(右侧语言优势和左侧注意力优势)和共侧化模式之间没有观察到差异。虽然胼胝体连通性在各组之间没有明显差异,但侧化程度与胼胝体连通性之间存在负相关。我们的研究结果部分支持了功能拥挤假说,并为脑损伤后功能重组的神经认知机制提供了启示。
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Hemispheric co-lateralization of language and spatial attention reduces performance in dual-task.

Hemispheric specialization of different functions is proposed to confer evolutionary benefits, yet the behavioral impacts of lateralization and its cognitive and neural mechanisms remain unclear. This study investigated the effect of lateralization pattern between language and spatial attention on dual-task performance and its association with callosal connectivity. Functional lateralization was assessed using fMRI verbal fluency and landmark tasks, and interhemispheric connections were evaluated through diffusion-weighted imaging. The typical lateralization pattern enhanced overall performance and reduced interference in dual-task compared to the co-lateralized pattern (both functions lateralized to one hemisphere). However, no differences were observed between the mirrored pattern (right language dominance and left attention dominance) and the co-lateralized pattern. While callosal connectivity did not significantly differ among groups, a negative correlation was observed between the lateralization degree and callosal connectivity. Our findings partially support the functional crowding hypothesis and offer insights into neurocognitive mechanisms underlying functional reorganization after brain lesions.

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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.
期刊最新文献
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