The Scalp Time-Varying Networks of N170: Reference, Latency, and Information Flow.
The Scalp Time-Varying Networks of N170: Reference, Latency, and Information Flow.
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N170 的头皮时变网络：参考、延迟和信息流
DOI：
10.3389/fnins.2018.00250
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发表时间：
2018
影响因子：
4.3
通讯作者：
Pang Y
中科院分区：
文献类型：
--
作者：
Tian Y;Xu W;Zhang H;Tam KY;Zhang H;Yang L;Li Z;Pang Y
本研究采用头皮时变网络方法，首次在网络水平上考察了参考对N170的时间影响，N170是一个由面部识别诱发的约170ms的负性事件相关电位(ERP)。通过对N170的时变处理，比较了两种头皮脑电参考值，即AR(所有记录通道的平均值)和参考电极标准化技术(REST)。结果表明，N170的潜伏期和波幅在REST和AR之间有显著差异，前者出现的时间较早，幅度较小。特别是，时变网络中从右侧顶叶P8到左侧P7的信息流在REST中比在AR中更早，并通过仿真再现了这一现象，其中REST在源水平上的表现更接近真实情况。这些发现表明参照在ERP数据解释中起着至关重要的作用，重要的是，新开发的近似零参照休息将是精确评估与各种认知事件相关的头皮时空变化的更好的选择。
Using the scalp time-varying network method, the present study is the first to investigate the temporal influence of the reference on N170, a negative event-related potential component (ERP) appeared about 170 ms that is elicited by facial recognition, in the network levels. Two kinds of scalp electroencephalogram (EEG) references, namely, AR (average of all recording channels) and reference electrode standardization technique (REST), were comparatively investigated via the time-varying processing of N170. Results showed that the latency and amplitude of N170 were significantly different between REST and AR, with the former being earlier and smaller. In particular, the information flow from right temporal-parietal P8 to left P7 in the time-varying network was earlier in REST than that in AR, and this phenomenon was reproduced by simulation, in which the performance of REST was closer to the true case at source level. These findings indicate that reference plays a crucial role in ERP data interpretation, and importantly, the newly developed approximate zero-reference REST would be a superior choice for precise evaluation of the scalp spatio-temporal changes relating to various cognitive events.
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影响因子：
2.7
作者：
Rellecke, Julian;Sommer, Werner;Schacht, Annekathrin
通讯作者：
Schacht, Annekathrin
DOI：
10.1016/s0926-6410(03)00174-5
发表时间：
2003-10-01
期刊：
COGNITIVE BRAIN RESEARCH
影响因子：
--
作者：
Batty, M;Taylor, MJ
通讯作者：
Taylor, MJ
影响因子：
3.2
作者：
Sagiv, N;Bentin, S
通讯作者：
Bentin, S
影响因子：
4.1
作者：
Fritz, Catherine O.;Morris, Peter E.;Richler, Jennifer J.
通讯作者：
Richler, Jennifer J.
影响因子：
56.9
作者：
Moeller, Sebastian;Freiwald, Winrich A.;Tsao, Doris Y.
通讯作者：
Tsao, Doris Y.