Combining fMRI with EEG and MEG in order to relate patterns of brain activity to cognition.
Combining fMRI with EEG and MEG in order to relate patterns of brain activity to cognition.
复制标题
DOI：
10.1016/j.ijpsycho.2008.12.019
复制
发表时间：
2009-07
影响因子：
3
通讯作者：
Menon, Vinod
中科院分区：
文献类型：
--
作者：
Freeman, Walter J.;Ahlfors, Seppo P.;Menon, Vinod
关键词：
构成几种脑功能成像基础的共同因素是大量树突的电流。驱动树突电流所需的巨大能量需求通过fMRI和PET技术可视化的血流动力学和代谢反应来满足。平行树突轴中的高电流密度和树突外部的环路电流的广泛分布产生头皮EEG和MEG中看到的磁场。的.图像强度和势场的测量为建模提供状态变量。电流密度的强度与电、磁和血液动力学状态变量之间的关系是复杂的，并且远不成比例。状态变量是互补的，因为它们传递的信息来自不同的神经群体，尽管重叠，因此交叉验证与特定认知行为相关的神经活动定位的努力并不总是成功的。我们提出了一种替代方法，使用这三种方法相结合，通过研究半球范围内，高分辨率的时空模式的神经活动记录非侵入性和多变量统计分析。成功地完成这一奋进需要明确要寻找什么样的模式。在目前的理解水平，一个适当的模式是任何显着偏离随机噪声在频谱，时间和空间域，可以缩放到粗粒度的时间由fMRI/BOLD和粗粒度的空间由EEG和MEG。在这里，必要的模式被预测为大规模的空间振幅调制（AM）的同步神经元信号的β和γ范围内的协调，但不相关的功能磁共振成像强度。
The common factor that underlies several types of functional brain imaging is the electric current of masses of dendrites. The prodigious demands for the energy that is required to drive the dendritic currents are met by hemodynamic and metabolic responses that are visualized with fMRI and PET techniques. The high current densities in parallel dendritic shafts and the broad distributions of the loop currents outside the dendrites generate both the scalp EEG and the magnetic fields seen in the MEG. The. Measurements of image intensities and potential fields provide state variables for modeling. The relationships between the intensities of current density and the electric, magnetic, and hemodynamic state variables are complex and far from proportionate. The state variables are complementary, because the information they convey comes from differing albeit overlapping neural populations, so that efforts to cross-validate localization of neural activity relating to specified cognitive behaviors have not always been successful. We propose an alternative way to use the three methods in combination through studies of hemisphere-wide, high-resolution spatiotemporal patterns of neural activity recorded non-invasively and analyzed with multivariate statistics. Success in this proposed endeavor requires specification of what patterns to look for. At the present level of understanding, an appropriate pattern is any significant departure from random noise in the spectral, temporal and spatial domains that can be scaled into the coarse-graining of time by fMRI/BOLD and the coarse-graining of space by EEG and MEG. Here the requisite patterns are predicted to be large-scale spatial amplitude modulation (AM) of synchronized neuronal signals in the beta and gamma ranges that are coordinated but not correlated with fMRI intensities.
登录
查看更多内容
DOI：
10.1073/pnas.0308538101
发表时间：
2004-06-29
影响因子：
11.1
作者：
Brovelli, A;Ding, MZ;Bressler, SL
通讯作者：
Bressler, SL
影响因子：
7.8
作者：
Freeman, Walter J.
通讯作者：
Freeman, Walter J.
影响因子：
4.8
作者：
Freeman, WJ;Burke, BC;Holmes, MD
通讯作者：
Holmes, MD
影响因子：
2.5
作者：
Barrie, JM;Freeman, WJ;Lenhart, MD
通讯作者：
Lenhart, MD
影响因子：
2.5
作者：
Ahlfors, SP;Simpson, GV;Ilmoniemi, RJ
通讯作者：
Ilmoniemi, RJ