Noninvasive Electromagnetic Source Imaging and Granger Causality Analysis: An Electrophysiological Connectome (eConnectome) Approach
We present an electrophysiological connectome (eConnectome) approach to study underlying brain networks in a noninvasive manner. This approach was directly tested by estimating epileptic networks from EEG/MEG measurements in patients suffering from focal epilepsy. The results obtained from the proposed approach were consistent with invasive clinical findings, in these patients.
Electrical Stimulation of the Human Cerebral Cortex by Extracranial Muscle Activity: Effect Quantification with Intracranial EEG and FEM Simulations
One’s own EMG activity may act as an endogenous modality of brain stimulation. Using electrocorticography (ECoG) recordings combined with detailed finite element method (FEM) head modeling we show first results suggesting that the temporal pole might be exposed to EMG electric fields strong enough to modulate ongoing neuronal activity. This modulation could represent a new potential mechanism for the puzzling effects of gum chewing on cognition.
Time-Frequency Strategies for Increasing High-Frequency Oscillation Detectability in Intracerebral EEG
High-frequency oscillations (HFOs) are considered to be a good marker of the tissues which have to be removed. We investigated several methods to flatten (i.e. whiten) the spectrum to improve HFO detectability. Our method, the H0 z-score, provides an optimal framework for representing and detecting HFOs, independent of a baseline and a priori frequency bands.
Fast Electromagnetic Analysis of MRI Transmit RF Coils based on Accelerated Integral Equation Methods
This work combines the integral equation method with sophisticated numerical techniques, and the newly introduced magnetic resonance Green functions, into an efficient full-wave frequency-domain simulation tool for the analysis of interactions between electromagnetic waves created by arbitrary RF coils and realistic human body models, including the virtual family population.
One-Day Bayesian Cloning of Type 1 Diabetes Subjects: Towards a Single-Day UVA/Padova Type 1 Diabetes Simulator
The current version of the Type 1 Diabetes (T1DM) simulator is “single-meal” while making it “single-day centric”, i.e. by describing intra-day variability, would be a step forward to create more realistic in silico scenarios. Here we propose a Bayesian method for the identification of the model from plasma glucose and insulin concentrations only, by exploiting the prior model parameter distribution.
Steering of Magnetic Devices using a Magnetic Particle Imaging System
A newly developed magnetic particle imaging (MPI) system combines fast imaging with a flexible and powerful field applicator. This work demonstrates that it is therefore well suited for controlled steering of small magnetic devices. Experimental evidence is presented on steering a prototype device in arbitrary direction and with variable force under real-time imaging control.