Work

An open-source user interface for real-time ultra-fast solving of electric fields around segmented deep brain stimulation electrodes

Year: 2024

Type: article

Abstract: Deep brain stimulation (DBS) programming protocols have traditionally relied on trial-and-error methods, requiring up to 36 hours of testing in the first-year post-implant [1]. Even with a standard four-electrode lead configuration, clinicians face over 13,000 potential programming combinations not exceeding the charge density limit set by the FDA [2]. This complexity is further compounded with the advent of next-generation directional DBS leads, which feature segmented electrodes capable of directing current for asymmetric neuronal stimulation [3,4].

Source: Brain stimulation

DOI: 10.1016/j.brs.2024.11.002

Authors: Kaylee R. Henry, Mark Ingersoll, William Wartman, Fuchang Jiang, Dexuan Tang, Laleh Golestanirad, Sergey N. Makaroff

Institutions: Northwestern University, Worcester Polytechnic Institute, Harvard University, Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging

Language: English

Topic: Neurological disorders and treatments

Subfield: Neurology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $4,020

Funders: National Science Foundation, National Institute of Mental Health, National Institute of Biomedical Imaging and Bioengineering, National Science Foundation Graduate Research Fellowship Program

Awards: Reconfigurable MRI technology for safe and high-resolution imaging of deep brain stimulation at 3T, Graduate Research Fellowship Program (GRFP), G4719189355, CRSNS: Development of EEG/MEG Source Reconstruction with Fast Multipole Method, Charge-Based Brain Modeling Engine with Boundary Element Fast Multipole Method

OpenAlex ID: W4404146535

FWCI:

Cites: 10

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Related to: 10