使用基于传播子的干涉测量法和神经场理论从功能连接性确定有效脑连接性及其在皮质丘脑系统中的应用。
Determination of effective brain connectivity from functional connectivity using propagator-based interferometry and neural field theory with application to the corticothalamic system.
作者信息
Robinson P A
机构信息
School of Physics, University of Sydney, New South Wales 2006, Australia; Center for Integrative Brain Function, University of Sydney, New South Wales 2006, Australia; Brain Dynamics Center, Westmead Millennium Institute, Darcy Rd, Westmead, New South Wales 2145, Australia; Cooperative Research Center for Alertness, Safety, and Productivity, University of Sydney, New South Wales 2006, Australia; and Neurosleep, 431 Glebe Point Rd., Glebe, New South Wales 2037, Australia.
出版信息
Phys Rev E Stat Nonlin Soft Matter Phys. 2014 Oct;90(4):042712. doi: 10.1103/PhysRevE.90.042712. Epub 2014 Oct 15.
It is shown how to compute both direct and total effective connection matrices (deCMs and teCMs), which embody the strengths of neural connections between regions, from correlation-based functional CMs using propagator-based interferometry, a method that stems from geophysics and acoustics, coupled with the recent identification of deCMs and teCMs with bare and dressed propagators, respectively. The approach incorporates excitatory and inhibitory connections, multiple structures and populations, and measurement effects. The propagator is found for a generalized scalar wave equation derived from neural field theory, and expressed in terms of neural activity correlations and covariances, and wave damping rates. It is then related to correlation matrices that are commonly used to express functional and effective connectivities in the brain. The results are illustrated in analytically tractable test cases.
展示了如何使用基于传播子的干涉测量法从基于相关性的功能连接矩阵中计算直接和总有效连接矩阵（deCMs和teCMs），这些矩阵体现了区域之间神经连接的强度。该方法源于地球物理学和声学，结合了最近分别用裸传播子和修饰传播子识别出的deCMs和teCMs。该方法纳入了兴奋性和抑制性连接、多种结构和群体以及测量效应。从神经场论导出的广义标量波动方程中找到了传播子，并根据神经活动相关性和协方差以及波阻尼率来表示。然后将其与通常用于表达大脑中功能和有效连接性的相关矩阵联系起来。在解析上易于处理的测试案例中展示了结果。
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