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本文引用的文献

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Fast Automated Stereo-EEG Electrode Contact Identification and Labeling Ensemble.快速自动立体脑电图电极接触识别和标记集成。
Stereotact Funct Neurosurg. 2021;99(5):393-404. doi: 10.1159/000515090. Epub 2021 Apr 13.
2
High-gamma modulation language mapping with stereo-EEG: A novel analytic approach and diagnostic validation.高γ调制语言映射的立体脑电图:一种新的分析方法和诊断验证。
Clin Neurophysiol. 2020 Dec;131(12):2851-2860. doi: 10.1016/j.clinph.2020.09.023. Epub 2020 Oct 16.
3
Neuropsychological outcomes after pediatric epilepsy surgery: Role of electrical stimulation language mapping.儿童癫痫手术后的神经心理学结果:电刺激语言映射的作用。
Seizure. 2020 Aug;80:183-191. doi: 10.1016/j.seizure.2020.06.029. Epub 2020 Jun 25.
4
Electrical stimulation mapping of language with stereo-EEG.立体脑电图引导的语言电刺激定位。
Epilepsy Behav. 2019 Oct;99:106395. doi: 10.1016/j.yebeh.2019.06.038. Epub 2019 Aug 15.
5
A model for visual naming based on spatiotemporal dynamics of ECoG high-gamma modulation.基于 ECoG 高频伽马调制时空动力学的视觉命名模型。
Epilepsy Behav. 2019 Oct;99:106455. doi: 10.1016/j.yebeh.2019.106455. Epub 2019 Aug 13.
6
Functional mapping of the human insula: Data from electrical stimulations.人类脑岛的功能映射:电刺激数据。
Rev Neurol (Paris). 2019 Mar;175(3):150-156. doi: 10.1016/j.neurol.2018.12.003. Epub 2019 Mar 1.
7
Neuropsychological outcomes after resection of cortical sites with visual naming associated electrocorticographic high-gamma modulation.切除与视觉命名相关的皮质部位后,皮质电描记术γ调制的神经心理学结果。
Epilepsy Res. 2019 Mar;151:17-23. doi: 10.1016/j.eplepsyres.2019.01.011. Epub 2019 Jan 29.
8
Four-dimensional functional cortical maps of visual and auditory language: Intracranial recording.视觉和听觉语言的四维功能皮质图:颅内记录
Epilepsia. 2019 Feb;60(2):255-267. doi: 10.1111/epi.14648. Epub 2019 Feb 1.
9
The auditory cortex network in the posterior superior temporal area.后上颞区的听觉皮层网络。
Clin Neurophysiol. 2018 Oct;129(10):2132-2136. doi: 10.1016/j.clinph.2018.07.014. Epub 2018 Aug 1.
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A lexical semantic hub for heteromodal naming in middle fusiform gyrus.中梭状回的异模态命名的词汇语义枢纽。
Brain. 2018 Jul 1;141(7):2112-2126. doi: 10.1093/brain/awy120.

分布式网络支持视觉命名的时空大脑动力学。

A distributed network supports spatiotemporal cerebral dynamics of visual naming.

机构信息

Comprehensive Epilepsy Center, Division of Neurology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA; Department of Electrical Engineering and Computer Science, University of Cincinnati, Cincinnati, Ohio, USA.

Comprehensive Epilepsy Center, Division of Neurology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.

出版信息

Clin Neurophysiol. 2021 Dec;132(12):2948-2958. doi: 10.1016/j.clinph.2021.09.003. Epub 2021 Sep 30.

DOI:10.1016/j.clinph.2021.09.003
PMID:34715419
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8629967/
Abstract

OBJECTIVE

Cerebral spatiotemporal dynamics of visual naming were investigated in epilepsy patients undergoing stereo-electroencephalography (SEEG) monitoring.

METHODS

Brain networks were defined by Parcel-Activation-Resection-Symptom matching (PARS) approach by matching high-gamma (50-150 Hz) modulations (HGM) in neuroanatomic parcels during visual naming, with neuropsychological outcomes after resection/ablation of those parcels. Brain parcels with >50% electrode contacts simultaneously showing significant HGM were aligned, to delineate spatiotemporal course of naming-related HGM.

RESULTS

In 41 epilepsy patients, neuroanatomic parcels showed sequential yet temporally overlapping HGM course during visual naming. From bilateral occipital lobes, HGM became increasingly left lateralized, coursing through limbic system. Bilateral superior temporal HGM was noted around response time, and right frontal HGM thereafter. Correlations between resected/ablated parcels, and post-surgical neuropsychological outcomes showed specific regional groupings.

CONCLUSIONS

Convergence of data from spatiotemporal course of HGM during visual naming, and functional role of specific parcels inferred from neuropsychological deficits after resection/ablation of those parcels, support a model with six cognitive subcomponents of visual naming having overlapping temporal profiles.

SIGNIFICANCE

Cerebral substrates supporting visual naming are bilaterally distributed with relative hemispheric contribution dependent on cognitive demands at a specific time. PARS approach can be extended to study other cognitive and functional brain networks.

摘要

目的

通过立体脑电图(SEEG)监测,研究癫痫患者视觉命名的大脑时空动力学。

方法

通过Parcel-Activation-Resection-Symptom matching(PARS)方法,将神经解剖学区域在视觉命名过程中高伽马(50-150 Hz)调制(HGM)与切除/消融这些区域后的神经心理学结果相匹配,定义大脑网络。具有> 50%的电极同时显示显著 HGM 的脑区被对齐,以描绘命名相关 HGM 的时空过程。

结果

在 41 名癫痫患者中,神经解剖学区域在视觉命名过程中表现出顺序但时间上重叠的 HGM 过程。从双侧枕叶开始,HGM 变得越来越左侧化,通过边缘系统传播。在反应时间前后,双侧颞上 HGM 被注意到,此后右侧额叶 HGM 被注意到。切除/消融的区域与术后神经心理学结果之间的相关性显示出特定的区域分组。

结论

视觉命名过程中 HGM 的时空过程数据的收敛,以及从切除/消融这些区域后的神经心理学缺陷推断出的特定区域的功能作用,支持了一个有六个认知子成分的视觉命名的模型,它们具有重叠的时间分布。

意义

支持视觉命名的大脑中枢呈双侧分布,在特定时间的认知需求依赖于相对半球的贡献。PARS 方法可以扩展到研究其他认知和功能大脑网络。