The KEY Institute for Brain-Mind Research, University Hospital of Psychiatry, Lenggstrasse 31, 8032 Zurich, Switzerland.
Philos Trans A Math Phys Eng Sci. 2011 Oct 13;369(1952):3768-84. doi: 10.1098/rsta.2011.0081.
Scalp electric potentials (electroencephalogram; EEG) are contingent to the impressed current density unleashed by cortical pyramidal neurons undergoing post-synaptic processes. EEG neuroimaging consists of estimating the cortical current density from scalp recordings. We report a solution to this inverse problem that attains exact localization: exact low-resolution brain electromagnetic tomography (eLORETA). This non-invasive method yields high time-resolution intracranial signals that can be used for assessing functional dynamic connectivity in the brain, quantified by coherence and phase synchronization. However, these measures are non-physiologically high because of volume conduction and low spatial resolution. We present a new method to solve this problem by decomposing them into instantaneous and lagged components, with the lagged part having almost pure physiological origin.
头皮电位（脑电图；EEG）与经历突触后过程的皮质锥体细胞释放的感应电流密度有关。EEG 神经影像学包括从头皮记录估计皮质电流密度。我们报告了一种解决此逆问题的方法，该方法可实现精确定位：精确低分辨率脑电磁层析成像（eLORETA）。这种非侵入性方法产生高时间分辨率的颅内信号，可用于评估大脑中的功能动态连接，通过相干性和相位同步进行量化。但是，由于容积传导和低空间分辨率，这些测量值是非生理的高值。我们提出了一种新的方法来解决这个问题，即将它们分解为瞬时和滞后分量，滞后部分具有几乎纯生理起源。
