Spatiotemporal smoothing of single trial MEG data
Spatiotemporal smoothing of single trial MEG data
复制标题
单次试验 MEG 数据的时空平滑
DOI：
10.1016/j.jneumeth.2011.06.004
复制
发表时间：
2011
影响因子：
3
通讯作者：
A. Bowman
中科院分区：
文献类型：
--
作者：
Massimo Ventrucci;Claire E. Miller;J. Gross;J. Schoffelen;A. Bowman
In MEG experiments an electromagnetic field is measured at a very high temporal resolution in many sensors located in a helmet-shaped dewar, producing a very large dataset. Filtering techniques are commonly used to reduce the noise in the data. In this paper, spatiotemporal smoothing across space and time simultaneously is used, not simply as a pre-processing step, but as the central focus of a modelling technique intended to estimate the structure of the spatial and temporal response to stimulus. A particular advantage of this approach is the ability to study responses from individual replicates, rather than averages. The benefits of this form of smoothing are discussed and simulation used to evaluate its performance. The methods are illustrated on an application with real data.
