Entries by andreashorn

Crucial methodological updates for Lead-DBS

We are thrilled that the Lead-DBS v2 methodological paper is out in NeuroImage. Lead-DBS v2: Towards a comprehensive pipeline for deep brain… [An unpaywalled preprint can be found here: https://www.biorxiv.org/content/early/2018/08/28/322008]. Lead-DBS was developed since 2012 and the first methods paper published in 2014. Since then, nearly everything has changed – and this led us to writing […]

Lead-DBS updates in 2018

Three months into 2018, there have been several studies that used Lead-DBS to answer very interesting questions briefly summarized below. 1. Siobhan Ewert and Todd Herrington could recently show that automated segmentations of the STN and GPi performed with Lead-DBS are nearly as precise as manual expert segmentations of the same structures in both a high-definition MRI […]

Commercial vs. Academic Software

Recently, I had the pleasure to meet with an R&D representative of a major DBS electrode manufacturer and we talked about software built to model deep brain stimulation electrodes in computer simulations, such as Lead-DBS. This meeting – and the development of Lead-DBS since 2012 – made me think about pros and cons of academic […]

DBS targets in MNI space

This blog post summarizes the work in Horn, A., Kühn, A. A., Merkl, A., Shih, L., Alterman, R., & Fox, M. (2017). Probabilistic conversion of neurosurgical DBS electrode coordinates into MNI space. NeuroImage, 150, 395–404.  The aim of this study was to transform surgical literature targets – that are conventionally reported relative to the anterior and […]