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一种适用于语言功能磁共振成像的“一刀切”方法:通过添加自定进度组件提高特异性和适用性。

A "one size fits all" approach to language fMRI: increasing specificity and applicability by adding a self-paced component.

作者信息

Máté Adrienn, Lidzba Karen, Hauser Till-Karsten, Staudt Martin, Wilke Marko

机构信息

Department of Neurosurgery, Faculty of Medicine, University of Szeged, Szeged, Hungary.

Department of Pediatric Neurology and Developmental Medicine, Children's Hospital, Hoppe-Seyler-Str. 1, 72076, Tübingen, Germany.

出版信息

Exp Brain Res. 2016 Mar;234(3):673-84. doi: 10.1007/s00221-015-4473-8. Epub 2015 Oct 29.

DOI:10.1007/s00221-015-4473-8
PMID:26514810
Abstract

We have previously established an fMRI task battery suitable for mapping the language processing network in children. Among the tasks used, the synonyms and the vowel identification task induced robust task-related activations in children with average language abilities; however, the fixed presentation time seems to be a drawback in participants with above- or below-average language abilities. This feasibility study in healthy adults (n = 20) was aimed at adapting these tasks to the individual level of each patient by implementing a self-paced stimulus presentation. The impact of using a block- versus an event-related statistical approach was also evaluated. The self-paced modification allowed our participants with above-average language abilities to process stimuli much faster than originally implemented, likely increasing task adherence. A higher specificity of the event-related analysis was confirmed by stronger left inferior frontal and crossed cerebellar activations. We suggest that self-paced paradigms and event-related analyses may both increase specificity and applicability.

摘要

我们之前建立了一个适用于绘制儿童语言处理网络的功能磁共振成像(fMRI)任务组。在所使用的任务中,同义词和元音识别任务在语言能力中等的儿童中诱发了强烈的任务相关激活;然而,固定的呈现时间对于语言能力高于或低于平均水平的参与者来说似乎是一个缺点。这项针对20名健康成年人的可行性研究旨在通过实施自定步速的刺激呈现,使这些任务适应每个患者的个体水平。还评估了使用组块设计与事件相关统计方法的影响。自定步速的修改使我们语言能力高于平均水平的参与者能够比最初实施的速度更快地处理刺激,这可能提高了任务依从性。事件相关分析的更高特异性通过更强的左下额叶和交叉小脑激活得到证实。我们建议自定步速范式和事件相关分析可能都能提高特异性和适用性。

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