| Literature DB >> 26523416 |
Peter M Lauro1, Nora Vanegas-Arroyave1,2, Ling Huang1, Paul A Taylor3,4, Kareem A Zaghloul5, Codrin Lungu1, Ziad S Saad6, Silvina G Horovitz2.
Abstract
Deep brain stimulation (DBS) is an effective surgical treatment for movement disorders. Although stimulation sites for movement disorders such as Parkinson's disease are established, the therapeutic mechanisms of DBS remain controversial. Recent research suggests that specific white-matter tract and circuit activation mediates symptom relief. To investigate these questions, we have developed a patient-specific open-source software pipeline called 'DBSproc' for (1) localizing DBS electrodes and contacts from postoperative CT images, (2) processing structural and diffusion MRI data, (3) registering all images to a common space, (4) estimating DBS activation volume from patient-specific voltage and impedance, and (5) understanding the DBS contact-brain connectivity through probabilistic tractography. In this paper, we explain our methodology and provide validation with anatomical and tractographic data. This method can be used to help investigate mechanisms of action of DBS, inform surgical and clinical assessments, and define new therapeutic targets. Published 2015. This article is a U.S. Government work and is in the public domain in the USA.Entities:
Keywords: Parkinson's disease (PD); deep brain stimulation (DBS); diffusion tensor imaging (DTI); magnetic resonance imaging (MRI); neurostimulation
Mesh:
Year: 2015 PMID: 26523416 PMCID: PMC5217472 DOI: 10.1002/hbm.23039
Source DB: PubMed Journal: Hum Brain Mapp ISSN: 1065-9471 Impact factor: 5.038