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.
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.
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。
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