A guideline for head volume conductor modeling in EEG and MEG

By J. Vorwerk, Jae-Hyun Cho, S. Rampp, H. Hamer, Thomas R. Knösche, Carsten H. Wolters. NeuroImage, 2014

296 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/9efcfa6e09e35a1254777df24eef7e3137a9b704

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cognitive Neuroscience

1. Andreas Kupsch
2. Andreas Horn

In Radiology, Nuclear Medicine and Imaging

1. Andreas Horn

Citations in the corpus

• Lead-DBS v2: Towards a comprehensive pipeline for deep brain stimulation imaging (2018, unknown): “Similar values were used in modeling EEG data (e.g. Buzsáki, 2006; Vorwerk et al., 2014) and in most previous DBS models (e.”
• Connectivity Predicts Deep Brain Stimulation Outcome in Parkinson Disease (2017, methodology): “14S/m were assigned to gray and white matter, respectively.(30) For the platinum/iridium contacts and insulated parts of the electrodes, values of 10(8)S/m and 10(216)S/m were used, respectively.”