Estimation of the cortical functional connectivity with the multimodal integration of high-resolution EEG and fMRI data by directed transfer function.

TL;DR: A freely available MATLAB toolbox--'Granger causal connectivity analysis' (GCCA)--which provides a core set of methods for performing this analysis on a variety of neuroscience data types including neuroelectric, neuromagnetic, functional MRI, and other neural signals.

TL;DR: This paper is the first validated application of real-time cortical connectivity analysis and cognitive state classification from highdensity wearable dry EEG to 64-channel dry EEG, addressing a need for robust real- time measurement and interpretation of complex brain activity in the dynamic environment of the wearable setting.

TL;DR: A review of recent mathematical and computational advances in optical tomography can be found in this paper, where the physical foundations of forward models for light propagation on microscopic, mesoscopic and macroscopic scales are discussed.

TL;DR: California has significantly reduced building energy demand through a series of progressive appliance and building standards that promote energy efficiency, which mean that California has among the lowest per capita electricity consumption rates in the nation.

TL;DR: It was observed that the best estimation of cortical source currents were performed with the inverse operator that use the event-related fMRI information, and results open the avenue for the use of fMRI-based inverse operator in the estimation of cortex current strengths from motor and cognitive task in the human brain.

TL;DR: This paper proposes the use of the DTF method on cortical signals estimated from high resolution EEG recordings, which exhibit a higher spatial resolution than conventional cerebral electromagnetic measures and provides an application to the estimation of cortical connectivity from highresolution EEG recordings related to finger tapping movements.

TL;DR: A comprehensive linear approach to the problem of imaging brain activity with high temporal as well as spatial resolution based on combining EEG and MEG data with anatomical constraints derived from MRI images is described.

TL;DR: The main themes that emerged included the importance of anatomical knowledge in understanding functional interactions the brain, the need to establish common definitions for terms used across disciplines, and the role of experimental paradigms that exploit the functional imaging of perturbations to cortical interactions.