Fuchs M, Wagner M, Wischmann H A, Köhler T, Theissen A, Drenckhahn R, Buchner H
Philips Research Laboratories Hamburg, Germany.
Electroencephalogr Clin Neurophysiol. 1998 Aug;107(2):93-111. doi: 10.1016/s0013-4694(98)00046-7.
A framework for combining bioelectric and biomagnetic data is presented. The data are transformed to signal-to-noise ratios and reconstruction algorithms utilizing a new regularization approach are introduced.
Extensive simulations are carried out for 19 different EEG and MEG montages with radial and tangential test dipoles at different eccentricities and noise levels. The methods are verified by real SEP/SEF measurements. A common realistic volume conductor is used and the less well known in vivo conductivities are matched by calibration to the magnetic data. Single equivalent dipole fits as well as spatio-temporal source models are presented for single and combined modality evaluations and overlaid to anatomic MR images.
Normalized sensitivity and dipole resolution profiles of the different EEG/MEG acquisition systems are derived from the simulated data. The methods and simulations are verified by simultaneously measured somatosensory data.
Superior spatial resolution of the combined data studies is revealed, which is due to the complementary nature of both modalities and the increased number of sensors. A better understanding of the underlying neuronal processes can be achieved, since an improved differentiation between quasi-tangential and quasi-radial sources is possible.
提出一种整合生物电和生物磁数据的框架。将数据转换为信噪比，并引入利用新正则化方法的重建算法。
针对19种不同的脑电图（EEG）和脑磁图（MEG）导联组合进行了广泛模拟，这些导联组合具有位于不同偏心度和噪声水平的径向和切向测试偶极子。通过实际体感诱发电位/体感诱发场（SEP/SEF）测量对这些方法进行验证。使用了一个通用的现实体积导体，并通过对磁数据进行校准来匹配鲜为人知的体内电导率。给出了单等效偶极子拟合以及用于单模态和联合模态评估的时空源模型，并将其叠加到解剖学磁共振图像上。
从模拟数据中得出了不同EEG/MEG采集系统的归一化灵敏度和偶极子分辨率分布。这些方法和模拟通过同时测量的体感数据得到验证。
揭示了联合数据研究具有卓越的空间分辨率，这归因于两种模态的互补性质以及传感器数量的增加。由于能够更好地区分准切向源和准径向源，因此可以更深入地了解潜在的神经元过程。
