Creating and parameterizing patient-specific deep brain stimulation pathway-activation models using the hyperdirect pathway as an example.

dc.contributor.author

Gunalan, Kabilar

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Chaturvedi, Ashutosh

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Howell, Bryan

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Duchin, Yuval

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Lempka, Scott F

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Patriat, Remi

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Sapiro, Guillermo

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Harel, Noam

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McIntyre, Cameron C

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Toft, Mathias

dc.date.accessioned

2021-09-28T18:47:22Z

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2021-09-28T18:47:22Z

dc.date.issued

2017-01

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2021-09-28T18:47:19Z

dc.description.abstract

Background

Deep brain stimulation (DBS) is an established clinical therapy and computational models have played an important role in advancing the technology. Patient-specific DBS models are now common tools in both academic and industrial research, as well as clinical software systems. However, the exact methodology for creating patient-specific DBS models can vary substantially and important technical details are often missing from published reports.

Objective

Provide a detailed description of the assembly workflow and parameterization of a patient-specific DBS pathway-activation model (PAM) and predict the response of the hyperdirect pathway to clinical stimulation.

Methods

Integration of multiple software tools (e.g. COMSOL, MATLAB, FSL, NEURON, Python) enables the creation and visualization of a DBS PAM. An example DBS PAM was developed using 7T magnetic resonance imaging data from a single unilaterally implanted patient with Parkinson's disease (PD). This detailed description implements our best computational practices and most elaborate parameterization steps, as defined from over a decade of technical evolution.

Results

Pathway recruitment curves and strength-duration relationships highlight the non-linear response of axons to changes in the DBS parameter settings.

Conclusion

Parameterization of patient-specific DBS models can be highly detailed and constrained, thereby providing confidence in the simulation predictions, but at the expense of time demanding technical implementation steps. DBS PAMs represent new tools for investigating possible correlations between brain pathway activation patterns and clinical symptom modulation.
dc.identifier

PONE-D-16-34171

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1932-6203

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1932-6203

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https://hdl.handle.net/10161/23850

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eng

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Public Library of Science (PLoS)

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PloS one

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10.1371/journal.pone.0176132

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Humans

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Deep Brain Stimulation

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Models, Neurological

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Software

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Workflow

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Precision Medicine

dc.title

Creating and parameterizing patient-specific deep brain stimulation pathway-activation models using the hyperdirect pathway as an example.

dc.type

Journal article

duke.contributor.orcid

Howell, Bryan|0000-0002-3329-8478

pubs.begin-page

e0176132

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4

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Pratt School of Engineering

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Computer Science

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Electrical and Computer Engineering

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Duke Institute for Brain Sciences

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Duke

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Trinity College of Arts & Sciences

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University Institutes and Centers

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Institutes and Provost's Academic Units

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Biomedical Engineering

pubs.publication-status

Published

pubs.volume

12

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