Joint Estimation of Effective BrainWave Activation Modes using EEG/MEG Sensor Arrays and Multi-modal MRI Volumes

摘要

In this paper we present a new method for integration of sensor-based multi-frequency bands of EEG and MEG datasets into a voxel-based structural-temporal MRI analysis by utilizing the general Joint ESTimation using Entropy Regularization (>JESTER) framework. This allows the enhancement of the spatial-temporal localization of brain function and the ability to relate it to morphological features and structural connectivity. This method has broad implications for both basic neuroscience research and clinical neuroscience focused on identifying disease-relevant biomarkers by enhancing the spatial-temporal resolution of the estimates derived from current neuroimaging modalities thereby providing a better picture of the normal human brain in basic neuroimaging experiments and variations associated with disease states.