Dynamics of large-scale cortical interactions at high gamma frequencies during word production: event related causality (ERC) analysis of human electrocorticography (ECoG).
Dynamics of large-scale cortical interactions at high gamma frequencies during word production: event related causality (ERC) analysis of human electrocorticography (ECoG).
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DOI：
10.1016/j.neuroimage.2011.03.030
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发表时间：
2011-06-15
期刊：
影响因子：
5.7
通讯作者：
Crone, Nathan E.
中科院分区：
文献类型：
--
作者：
Korzeniewska, Anna;Franaszczuk, Piotr J.;Crainiceanu, Ciprian M.;Kus, Rafal;Crone, Nathan E.
关键词：
对人类的颅内EEG研究表明，人类皮层的各种功能解剖域中的功能性脑激活与宽范围的高伽马（> 60 Hz）频率下的功率增加相关。虽然这些电生理反应是高度具体的位置和时间的皮层处理和动物记录是高度相关的人口放电率增加，一直没有直接的经验证据，在高伽玛频率的不同记录站点之间的因果关系的相互作用。这种因果关系的相互作用被假设发生在激活多个大脑区域的认知任务中。为了确定这种因果相互作用是否发生在高伽马频率，并调查其功能意义，我们使用事件相关因果关系（ERC）分析，估计动态，方向性和事件相关因果相互作用的大小，使用硬膜下皮层电图（ECoG）记录在两个单词的生产任务：图片命名和听觉单词重复。一个听力正常但精通美国手语（ASL）的临床受试者提供了一个独特的机会来测试我们的假设，参考可预测的因果互动模式，即语言皮层在口语与手语反应期间与感觉运动皮层的不同区域相互作用。我们的ERC分析证实了这一预测。在单词生产与口头回应，大脑外侧裂的语言网站有显着的因果关系与口/舌区的运动皮层，当响应手势的手语，最突出的相互作用涉及手和手臂的运动皮层。此外，我们发现，最多的和突出的因果相互作用起源的网站，即网站与ERC的“分歧”的模式，也是网站的高伽玛功率增加是最突出的和电皮层刺激映射干扰字的生产。这些研究结果表明，事件相关的因果相互作用的数量，强度和方向性可能有助于识别网络节点，这些节点不仅被任务激活，而且对其性能至关重要。
Intracranial EEG studies in humans have shown that functional brain activation in a variety of functional-anatomic domains of human cortex is associated with an increase in power at a broad range of high gamma (> 60 Hz) frequencies. Although these electrophysiological responses are highly specific for the location and timing of cortical processing and in animal recordings are highly correlated with increased population firing rates, there has been little direct empirical evidence for causal interactions between different recording sites at high gamma frequencies. Such causal interactions are hypothesized to occur during cognitive tasks that activate multiple brain regions. To determine whether such causal interactions occur at high gamma frequencies and to investigate their functional significance, we used event-related causality (ERC) analysis to estimate the dynamics, directionality, and magnitude of event-related causal interactions using subdural electrocorticography (ECoG) recorded during two word production tasks: picture naming and auditory word repetition. A clinical subject who had normal hearing but was skilled in American Signed Language (ASL) provided a unique opportunity to test our hypothesis with reference to a predictable pattern of causal interactions, i.e. that language cortex interacts with different areas of sensorimotor cortex during spoken vs. signed responses. Our ERC analyses confirmed this prediction. During word production with spoken responses, perisylvian language sites had prominent causal interactions with mouth/tongue areas of motor cortex, and when responses were gestured in sign language, the most prominent interactions involved hand and arm areas of motor cortex. Furthermore, we found that the sites from which the most numerous and prominent causal interactions originated, i.e. sites with a pattern of ERC “divergence”, were also sites where high gamma power increases were most prominent and where electrocortical stimulation mapping interfered with word production. These findings suggest that the number, strength and directionality of event-related causal interactions may help identify network nodes that are not only activated by a task but are critical to its performance.
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作者：
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通讯作者：
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影响因子：
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