Srinivasan Ramesh
Department of Cognitive Sciences, University of California, 3151 SSPA, Irvine, CA 92697-5100, USA.
Technol Cancer Res Treat. 2006 Aug;5(4):389-99.
Electroencephalography (EEG) remains the primary tool for measuring changes in dynamic brain function due to disease state with the millisecond temporal resolution of neuronal activity. In recent decades EEG has been supplanted by CT and MRI for the localization of tumors and lesions in the brain. In contrast to the excellent temporal resolution of EEG, the spatial information in EEG is limited by the volume conduction of currents through the tissues of the head. We have extracted source models (position and orientation) from MRI scans to investigate the theoretical relationship between brain sources and EEG recorded on the scalp. Although detailed information about the boundaries between different tissues can also be obtained from MRI, these models are only approximate because of our relatively poor knowledge of the conductivities of the different tissue compartments in living heads. We also compare the resolution of EEG with magnetoecephalography (MEG), which offers the advantage of requiring less detail about volume conduction in the head. The brain's magnetic field depends only on the position of sources in the brain and the position and orientation of the sensors. We demonstrate that EEG and MEG space average neural activity over comparably large volumes of the brain; however, they are preferentially sensitive to sources of different orientation suggesting a complementary role for EEG and MEG. High-resolution EEG methods potentially yield much better localization of source activity in superficial brain areas. These methods do not make any assumptions about the sources, and can be easily co-registered with the brain surface derived from MRI. While there is much information to be gained by using anatomical MRI to develop models of the generators of EEG/MEG, functional neuroimaging (e.g., fMRI) signals and EEG/MEG signals are not easily related.
脑电图(EEG)仍然是测量由于疾病状态导致的动态脑功能变化的主要工具,具有神经元活动的毫秒级时间分辨率。在最近几十年中,用于脑部肿瘤和病变定位的CT和MRI已经取代了EEG。与EEG出色的时间分辨率相比,EEG中的空间信息受电流通过头部组织的容积传导限制。我们已从MRI扫描中提取源模型(位置和方向),以研究脑源与头皮记录的EEG之间的理论关系。虽然也可以从MRI获得有关不同组织之间边界的详细信息,但由于我们对活体头部不同组织隔室电导率的了解相对较少,这些模型只是近似的。我们还将EEG的分辨率与脑磁图(MEG)进行了比较,MEG的优势在于对头部容积传导的细节要求较低。脑磁场仅取决于脑中源的位置以及传感器的位置和方向。我们证明,EEG和MEG对相当大的脑容积内的神经活动进行空间平均;然而,它们对不同方向的源具有优先敏感性,这表明EEG和MEG具有互补作用。高分辨率EEG方法有可能在浅表脑区中对源活动进行更好的定位。这些方法不对源做任何假设,并且可以很容易地与从MRI得出的脑表面进行配准。虽然使用解剖学MRI来开发EEG/MEG发生器模型可以获得很多信息,但功能神经成像(例如fMRI)信号和EEG/MEG信号之间不容易建立联系。