Interindividual variability and consistency of language mapping paradigms for presurgical use

IF 2.1 2区心理学 Q1 AUDIOLOGY & SPEECH-LANGUAGE PATHOLOGY

Brain and Language Pub Date : 2023-08-01 DOI:10.1016/j.bandl.2023.105299

Georgia Thomas , Katie L. McMahon , Emma Finch , David A. Copland

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引用次数: 0

Abstract

Most functional MRI studies of language processing have focussed on group-level inference, but for clinical use, the aim is to predict outcomes at an individual patient level. This requires being able to identify atypical activation and understand how differences relate to language outcomes. A language mapping paradigm that selectively activates left hemisphere language regions in healthy individuals allows atypical activation in a patient to be more easily identified. We investigated the interindividual variability and consistency of language activation in 12 healthy participants using three tasks—verb generation, responsive naming, and sentence comprehension—for future presurgical use. Responsive naming produced the most consistent left-lateralised activation across participants in frontal and temporal regions that postsurgical voxel-based lesion-symptom mapping studies suggest are most critical for language outcomes. Studies with a long-term clinical aim of predicting language outcomes in neurosurgical patients and stroke patients should first establish paradigm validity at an individual level in healthy participants.

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手术前使用的语言映射范式的个体间差异性和一致性

大多数语言处理的功能性MRI研究都集中在群体层面的推理上，但对于临床应用，其目的是预测个体患者层面的结果。这需要能够识别非典型激活，并理解差异与语言结果的关系。一种选择性激活健康个体左半球语言区域的语言映射范式可以更容易地识别患者的非典型激活。我们使用三项任务——动词生成、反应命名和句子理解——对12名健康参与者的语言激活的个体间可变性和一致性进行了调查，以备将来在术前使用。响应性命名在额叶和颞叶区域的参与者中产生了最一致的左侧激活，基于术后体素的病变症状映射研究表明，这对语言结果最为关键。以预测神经外科患者和中风患者语言结果为长期临床目的的研究应首先在健康参与者的个体水平上建立范式有效性。

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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.