This proof-of-principle study assessed a novel multimodal brain imaging technique namely Variational Bayesian Multimodal Encephalography (VBMEG), which aims to improve the spatial resolution of EEG for tracking the information flow inside the brain and its changes following a stroke.  The results demonstrate the feasibility of VBMEG method in revealing the changes of information flow in the brain after stroke.  This study verified the VBMEG method as an advanced computational approach to track the dynamic information flow in the brain following a stroke. 
VBMEG
This proof-of-principle study assessed a novel multimodal brain imaging technique namely Variational Bayesian Multimodal Encephalography (VBMEG), which aims to improve the spatial resolution of EEG for tracking the information flow inside the brain and its changes following a stroke. 
Variational Bayesian Multimodal Encephalography
Dynamic Information Flow Based on EEG and Diffusion MRI in Stroke: A Proof-of-Principle Study.In hemiparetic stroke, functional recovery of paretic limb may occur with the reorganization of neural networks in the brain.  Neuroimaging techniques, such as magnetic resonance imaging (MRI), have a high spatial resolution which can be used to reveal anatomical changes in the brain following a stroke.  However, low temporal resolution of MRI provides less insight of dynamic changes of brain activity.  The limitations of EEG are complemented by constraints derived from anatomical MRI and diffusion weighted imaging (DWI). 
MRI
Neuroimaging techniques, such as magnetic resonance imaging (MRI), have a high spatial resolution which can be used to reveal anatomical changes in the brain following a stroke. 
Magnetic Resonance Imaging
The limitations of EEG are complemented by constraints derived from anatomical MRI and diffusion weighted imaging (DWI). 
DWI
The limitations of EEG are complemented by constraints derived from anatomical MRI and diffusion weighted imaging (DWI). 
Diffusion Weighted Imaging
Dynamic Information Flow Based on EEG and Diffusion MRI in Stroke: A Proof-of-Principle Study.In hemiparetic stroke, functional recovery of paretic limb may occur with the reorganization of neural networks in the brain.  In contrast, electro-neurophysiological techniques, such as electroencephalography (EEG), have an excellent temporal resolution to measure such transient events, however are hindered by its low spatial resolution.  This proof-of-principle study assessed a novel multimodal brain imaging technique namely Variational Bayesian Multimodal Encephalography (VBMEG), which aims to improve the spatial resolution of EEG for tracking the information flow inside the brain and its changes following a stroke.  The limitations of EEG are complemented by constraints derived from anatomical MRI and diffusion weighted imaging (DWI).  EEG data were acquired from individuals suffering from a stroke as well as able-bodied participants while electrical stimuli were delivered sequentially at their index finger in the left and right hand, respectively. 
EEG
In contrast, electro-neurophysiological techniques, such as electroencephalography (EEG), have an excellent temporal resolution to measure such transient events, however are hindered by its low spatial resolution. 
Electroencephalography