Neuroimaging for Language, Literacy and Learning, Department of Special Education and Communication Disorders, University of Nebraska-Lincoln, Lincoln, NE, 68583, USA.
Center for Brain, Biology and Behavior, University of Nebraska-Lincoln, Lincoln, NE, 68588, USA.
Brain Imaging Behav. 2022 Apr;16(2):781-791. doi: 10.1007/s11682-021-00550-4. Epub 2021 Sep 25.
Magnetoencephalography (MEG) records brain activity with excellent temporal and good spatial resolution, while functional magnetic resonance imaging (fMRI) offers good temporal and excellent spatial resolution. The aim of this study is to implement a Bayesian framework to use fMRI data as spatial priors for MEG inverse solutions. We used simulated MEG data with both evoked and induced activity and experimental MEG data from sixteen participants to examine the effectiveness of using fMRI spatial priors in MEG source reconstruction. For simulated MEG data, incorporating the prior information from fMRI increased the spatial resolution of MEG source reconstruction by 3 mm on average. For experimental MEG data, fMRI spatial information reduced the spurious clusters for evoked activity and showed more left-lateralized activation pattern for induced activity. The use of fMRI spatial priors greatly reduced location error for induced source in MEG data. Our results provide empirical evidence that the use of fMRI spatial priors improves the accuracy of MEG source reconstruction. The combined MEG and fMRI approach can provide neuroimaging data with better spatial and temporal resolutions to add another perspective to our understanding of the neurobiology of language. The potential clinical applications include pre-surgical evaluation of language function for epilepsy patients and evaluation of language network for children with language disorders.
脑磁图（MEG）以优异的时间和良好的空间分辨率记录大脑活动，而功能磁共振成像（fMRI）则提供良好的时间和出色的空间分辨率。本研究旨在实施贝叶斯框架，利用 fMRI 数据作为 MEG 逆解的空间先验。我们使用模拟的具有诱发和诱导活动的 MEG 数据以及来自 16 名参与者的实验 MEG 数据，来检验在 MEG 源重建中使用 fMRI 空间先验的有效性。对于模拟 MEG 数据，平均而言，纳入 fMRI 的先验信息可将 MEG 源重建的空间分辨率提高 3 毫米。对于实验 MEG 数据，fMRI 空间信息减少了诱发活动的虚假簇，并显示了诱导活动中更多的左侧激活模式。使用 fMRI 空间先验极大地减少了 MEG 数据中诱导源的位置误差。我们的研究结果提供了经验证据，表明使用 fMRI 空间先验可以提高 MEG 源重建的准确性。MEG 和 fMRI 的结合方法可以提供具有更好空间和时间分辨率的神经影像学数据，从而为我们理解语言的神经生物学增加另一个视角。潜在的临床应用包括癫痫患者手术前语言功能的评估和语言障碍儿童语言网络的评估。
