Artificial neural network based characterization of the volume of tissue activated during deep brain stimulation

Influence of Uncertainties in the Material Properties of Brain Tissue on the Probabilistic Volume of Tissue Activated

(2012) C. Schmidt et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Predicting myelinated axon activation using spatial characteristics of the extracellular field

(2011) E J Peterson et al.   Journal of Neural Engineering

Reversing cognitive–motor impairments in Parkinson’s disease patients using a computational modelling approach to deep brain stimulation programming

(2010) Anneke M. M. Frankemolle et al.   BRAIN

Patient-specific models of deep brain stimulation: Influence of field model complexity on neural activation predictions

(2010) Ashutosh Chaturvedi et al.   Brain Stimulation

Spatial steering of deep brain stimulation volumes using a novel lead design

(2010) H.C.F. Martens et al.   CLINICAL NEUROPHYSIOLOGY

Evaluating the impact of the deep brain stimulation induced electric field on subthalamic neurons: A computational modelling study

(2010) Nada Yousif et al.   JOURNAL OF NEUROSCIENCE METHODS

Automated Optimal Coordination of Multiple-DOF Neuromuscular Actions in Feedforward Neuroprostheses

(2009) J.L. Lujan et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Experimental and theoretical characterization of the voltage distribution generated by deep brain stimulation

(2008) Svjetlana Miocinovic et al.   EXPERIMENTAL NEUROLOGY