左颞叶语义功能的分级和急剧转换

IF 2.1 2区 心理学 Q1 AUDIOLOGY & SPEECH-LANGUAGE PATHOLOGY Brain and Language Pub Date : 2024-03-13 DOI:10.1016/j.bandl.2024.105402
Katya Krieger-Redwood , Xiuyi Wang , Nicholas Souter , Tirso Rene del Jesus Gonzalez Alam , Jonathan Smallwood , Rebecca L. Jackson , Elizabeth Jefferies
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引用次数: 0

摘要

最近的研究集中于颞叶内的功能变化模式与全脑内在连通性变化的关系(Margulies 等人,2016 年)。我们研究了两个这样的 "连接梯度",它们反映了(i) 单模态与异模态的分离,以及(ii) 视觉与听觉-运动皮层的分离,研究了视觉呈现的言语联想和特征判断,以及基于图片的语境和情感生成。沿着第一个维度的功能反应有时在模态调谐和异模态皮层之间显示出梯度变化(在言语匹配任务中),有时则显示出急剧的功能转换,在梯度的两端出现失活,中间出现激活(内部生成)。第二个梯度显示,无论内容(联想、特征、语境、情感)或任务过程(匹配/生成)如何,视觉激活都多于听觉-运动激活。我们还发现了每个梯度在内容类型上的细微差别,主要表现为激活或失活的相对幅度不同。
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Graded and sharp transitions in semantic function in left temporal lobe

Recent work has focussed on how patterns of functional change within the temporal lobe relate to whole-brain dimensions of intrinsic connectivity variation (Margulies et al., 2016). We examined two such ‘connectivity gradients’ reflecting the separation of (i) unimodal versus heteromodal and (ii) visual versus auditory-motor cortex, examining visually presented verbal associative and feature judgments, plus picture-based context and emotion generation. Functional responses along the first dimension sometimes showed graded change between modality-tuned and heteromodal cortex (in the verbal matching task), and other times showed sharp functional transitions, with deactivation at the extremes and activation in the middle of this gradient (internal generation). The second gradient revealed more visual than auditory-motor activation, regardless of content (associative, feature, context, emotion) or task process (matching/generation). We also uncovered subtle differences across each gradient for content type, which predominantly manifested as differences in relative magnitude of activation or deactivation.

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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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