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临床和神经科学背景下用于直接电刺激的术中认知映射任务

Intraoperative Cognitive Mapping Tasks for Direct Electrical Stimulation in Clinical and Neuroscientific Contexts.

作者信息

Bu Linghao, Lu Junfeng, Zhang Jie, Wu Jinsong

机构信息

Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.

Brain Function Laboratory, Neurosurgical Institute of Fudan University, Shanghai, China.

出版信息

Front Hum Neurosci. 2021 Mar 2;15:612891. doi: 10.3389/fnhum.2021.612891. eCollection 2021.

DOI:10.3389/fnhum.2021.612891
PMID:33762913
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7982856/
Abstract

Direct electrical stimulation (DES) has been widely applied in both guidance of lesion resection and scientific research; however, the design and selection of intraoperative cognitive mapping tasks have not been updated in a very long time. We introduce updated mapping tasks for language and non-language functions and provide recommendations for optimal design and selection of intraoperative mapping tasks. In addition, with DES becoming more critical in current neuroscientific research, a task design that has not been widely used in DES yet (subtraction and conjunction paradigms) was introduced for more delicate mapping of brain functions especially for research purposes. We also illustrate the importance of designing a common task series for DES and other non-invasive mapping techniques. This review gives practical updated guidelines for advanced application of DES in clinical and neuroscientific research.

摘要

直接电刺激(DES)已广泛应用于病变切除的引导和科学研究;然而,术中认知图谱任务的设计和选择在很长一段时间内都没有更新。我们介绍了针对语言和非语言功能的更新后的图谱任务,并为术中图谱任务的最佳设计和选择提供建议。此外,随着DES在当前神经科学研究中变得越来越重要,我们引入了一种尚未在DES中广泛使用的任务设计(减法和联合范式),用于更精细地绘制脑功能图谱,特别是用于研究目的。我们还阐述了为DES和其他非侵入性图谱技术设计通用任务系列的重要性。本综述为DES在临床和神经科学研究中的高级应用提供了实用的更新指南。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ed4d/7982856/89d3c0a05b47/fnhum-15-612891-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ed4d/7982856/23b338d64b28/fnhum-15-612891-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ed4d/7982856/4a75f73c94be/fnhum-15-612891-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ed4d/7982856/89d3c0a05b47/fnhum-15-612891-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ed4d/7982856/23b338d64b28/fnhum-15-612891-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ed4d/7982856/4a75f73c94be/fnhum-15-612891-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ed4d/7982856/89d3c0a05b47/fnhum-15-612891-g003.jpg

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Intrinsic network architecture predicts the effects elicited by intracranial electrical stimulation of the human brain.内在网络结构可预测人脑颅内电刺激所引发的效应。
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