DBSproc: An open source process for DBS electrode localization and tractographic analysis.

Journal: Human brain mapping

Volume: 37

Issue: 1

Year of Publication: 2016

Affiliated Institutions:  Office of the Clinical Director, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland. Department of Human Biology, Faculty of Health Sciences, University of Cape Town, MRC/UCT Medical Imaging Research Unit, Cape Town, South Africa. Surgical Neurology Branch, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland. Statistical and Scientific Computing Core, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland. Human Motor Control Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland.

Abstract summary 

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.

Authors & Co-authors:  Lauro Peter M PM Vanegas-Arroyave Nora N Huang Ling L Taylor Paul A PA Zaghloul Kareem A KA Lungu Codrin C Saad Ziad S ZS Horovitz Silvina G SG

Study Outcome 

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Statistics
Citations :  Anthofer JM, Steib K, Fellner C, Lange M, Brawanski A, Schlaier J (2015): DTI‐based deterministic fibre tracking of the medial forebrain bundle. Acta Neurochir (Wien) 157:469–477.
Authors :  8
Identifiers
Doi : 10.1002/hbm.23039
SSN : 1097-0193
Study Population
Male,Female
Mesh Terms
Aged
Other Terms
Parkinson's disease (PD);deep brain stimulation (DBS);diffusion tensor imaging (DTI);magnetic resonance imaging (MRI);neurostimulation
Study Design
Cross Sectional Study
Study Approach
Country of Study
Publication Country
United States