Keogh Bart P, Cordes Dietmar
Section of Neuroradiology, Department of Radiology, University of Washington, Seattle, Washington 98195, USA.
Epilepsia. 2007;48 Suppl 4:27-36. doi: 10.1111/j.1528-1167.2007.01239.x.
The application of functional magnetic resonance imaging (fMRI) to elucidation of seizures and epilepsy has been built primarily upon a framework derived from cortical responses to periodic sensory (and cognitive) stimuli. This analytical approach relies upon assumptions that may be less applicable to the problem of seizure origination. Because of the heterogeneous and complex nature of seizures, a number of quantitative methodologies have been derived to understand fMRI changes that are associated with epileptiform neural activity. Separated broadly, these can be divided into those making some set of assumptions about the form of the MRI signal response to neural activation (the general linear model), and those that are data driven. It is likely that a combination of methodologies, where data driven methods are "informed" by knowledge of the underlying neurobiological process will provide the greatest insight into the underlying neurobiological basis of seizure origination.
功能磁共振成像(fMRI)在癫痫发作和癫痫症阐释中的应用主要基于一个源自皮质对周期性感觉(和认知)刺激反应的框架。这种分析方法依赖的假设可能不太适用于癫痫发作起源问题。由于癫痫发作具有异质性和复杂性,已经衍生出了许多定量方法来理解与癫痫样神经活动相关的fMRI变化。大致分开来说,这些方法可分为对神经激活的MRI信号响应形式做出某种假设的方法(一般线性模型)和数据驱动的方法。很可能将数据驱动方法通过对潜在神经生物学过程的了解进行“告知”的多种方法相结合,将能为癫痫发作起源的潜在神经生物学基础提供最大的见解。