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Chasing Language Through the Brain: Successive Parallel Networks
Clinical Neurophysiology ( IF 4.7 ) Pub Date : 2021-01-01 , DOI: 10.1016/j.clinph.2020.10.007
Weili Zheng 1 , Geeth Kavya Minama Reddy 2 , Falcon Dai 2 , Ayushi Chandramani 2 , David Brang 3 , Scott Hunter 4 , Michael H Kohrman 5 , Sandra Rose 2 , Marvin Rossi 6 , James Tao 2 , Shasha Wu 2 , Richard Byrne 7 , David M Frim 8 , Peter Warnke 8 , Vernon L Towle 2
Affiliation  

OBJECTIVE To describe the spatio-temporal dynamics and interactions during linguistic and memory tasks. METHODS Event-related electrocorticographic (ECoG) spectral patterns obtained during cognitive tasks from 26 epilepsy patients (aged: 9-60 y) were analyzed in order to examine the spatio-temporal patterns of activation of cortical language areas. ECoGs (1024 Hz/channel) were recorded from 1567 subdural electrodes and 510 depth electrodes chronically implanted over or within the frontal, parietal, occipital and/or temporal lobes as part of their surgical work-up for intractable seizures. Six language/memory tasks were performed, which required responding verbally to auditory or visual word stimuli. Detailed analysis of electrode locations allowed combining results across patients. RESULTS Transient increases in induced ECoG gamma power (70-100 Hz) were observed in response to hearing words (central superior temporal gyrus), reading text and naming pictures (occipital and fusiform cortex) and speaking (pre-central, post-central and sub-central cortex). CONCLUSIONS Between these activations there was widespread spatial divergence followed by convergence of gamma activity that reliably identified cortical areas associated with task-specific processes. SIGNIFICANCE The combined dataset supports the concept of functionally-specific locally parallel language networks that are widely distributed, partially interacting in succession to serve the cognitive and behavioral demands of the tasks.

中文翻译:

通过大脑追逐语言:连续的并行网络

目的 描述语言和记忆任务期间的时空动态和相互作用。方法 对 26 名癫痫患者(年龄:9-60 岁)在认知任务期间获得的事件相关脑电图 (ECoG) 频谱模式进行分析,以检查皮质语言区域激活的时空模式。ECoGs(1024 Hz/通道)是从 1567 个硬膜下电极和 510 个深度电极长期植入额叶、顶叶、枕叶和/或颞叶内记录的,作为治疗顽固性癫痫的外科手术的一部分。执行了六项语言/记忆任务,需要对听觉或视觉单词刺激做出口头反应。电极位置的详细分析允许合并患者的结果。结果 观察到对听词(中央颞上回)、阅读文本和命名图片(枕叶和梭状皮层)和说话(中央前、中央后和次中央皮层)。结论 在这些激活之间存在广泛的空间发散,随后是伽马活动的收敛,可以可靠地识别与特定任务过程相关的皮层区域。意义 组合数据集支持功能特定的本地并行语言网络的概念,这些网络广泛分布,部分连续交互以满足任务的认知和行为需求。阅读文本和命名图片(枕骨和梭状皮层)和说话(前中央、后中央和次中央皮层)。结论 在这些激活之间存在广泛的空间发散,随后是伽马活动的收敛,可以可靠地识别与特定任务过程相关的皮层区域。意义 组合数据集支持功能特定的本地并行语言网络的概念,这些网络广泛分布,部分连续交互以满足任务的认知和行为需求。阅读文本和命名图片(枕骨和梭状皮层)和说话(前中央、后中央和次中央皮层)。结论 在这些激活之间存在广泛的空间发散,随后是伽马活动的收敛,可以可靠地识别与特定任务过程相关的皮层区域。意义 组合数据集支持功能特定的本地并行语言网络的概念,这些网络广泛分布,部分连续交互以满足任务的认知和行为需求。
更新日期:2021-01-01
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