SIGNAL-SPACE PROJECTIONS OF MEG DATA CHARACTERIZE BOTH DISTRIBUTED AND WELL-LOCALIZED NEURONAL SOURCES
SIGNAL-SPACE PROJECTIONS OF MEG DATA CHARACTERIZE BOTH DISTRIBUTED AND WELL-LOCALIZED NEURONAL SOURCES
复制标题
DOI：
10.1016/0013-4694(95)00064-6
复制
发表时间：
1995-09-01
期刊：
影响因子：
--
通讯作者：
SALONEN, O
中科院分区：
文献类型：
--
作者：
TESCHE, CD;UUSITALO, MA;SALONEN, O
我们描述了使用信号空间投影（SSP）来检测和表征同时和/或顺序激活的神经元源分布。在这个分析中，一个共同的信号空间被用来表示由检测器阵列和潜在的大脑源测量的信号。这对脑电图和脑磁图数据的分析具有明显的优势。高度局域化和分布式源的特征是由探测器测量的场模式的组成部分。因此，获得了任意源配置的统一描述，从而允许各种分析技术的一致实现。通过对听觉、视觉和体感诱发反应脑磁图数据的应用，说明了该方法的有效性。通过SSP获得的自发活动的单迹诱发反应表明，可以实现对系统噪声和不相关的大脑活动的相当大的区分。在频域中确定的信号空间投影对自发活动的应用说明了将时间关系纳入分析的可能性。最后，我们证明了SSP对于描述分布式活动的多个来源以及在各种不同范式或主体条件下比较特定神经元来源的强度特别有用。
We describe the use of signal-space projection (SSP) for the detection and characterization of simultaneous and/or sequential activation of neuronal source distributions. In this analysis, a common signal space is used to represent both the signals measured by an array of detectors and the underlying brain sources. This presents distinct advantages for the analysis of EEG and MEG data. Both highly localized and distributed sources are characterized by the components of the field patterns which are measured by the detectors. As a result, a unified description of arbitrary source configurations is obtained which permits the consistent implementation of a variety of analysis techniques. The method is illustrated by the application of SSP to auditory, visual and somatosensory evoked-response MEG data. Single-trace evoked responses obtained by SSP of spontaneous activity demonstrate that a considerable discrimination against both system noise and uncorrelated brain activity may be achieved. Application of signal-space projections determined in the frequency domain to spontaneous activity illustrates the possibility of including temporal relationships into the analysis. Finally, we demonstrate that SSP is particularly useful for the description of multiple sources of distributed activity and for the comparison of the strengths of specific neuronal sources under a variety of different paradigms or subject conditions.