TAP: targeting and analysis pipeline for optimization and verification of coil placement in transcranial magnetic stimulation.

dc.contributor.author

Dannhauer, Moritz

dc.contributor.author

Huang, Ziping

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Beynel, Lysianne

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Wood, Eleanor

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Bukhari-Parlakturk, Noreen

dc.contributor.author

Peterchev, Angel V

dc.date.accessioned

2025-02-08T17:25:31Z

dc.date.available

2025-02-08T17:25:31Z

dc.date.issued

2022-04

dc.description.abstract

Objective.Transcranial magnetic stimulation (TMS) can modulate brain function via an electric field (E-field) induced in a brain region of interest (ROI). The ROI E-field can be computationally maximized and set to match a specific reference using individualized head models to find the optimal coil placement and stimulus intensity. However, the available software lacks many practical features for prospective planning of TMS interventions and retrospective evaluation of the experimental targeting accuracy.Approach.The TMS targeting and analysis pipeline (TAP) software uses an MRI/fMRI-derived brain target to optimize coil placement considering experimental parameters such as the subject's hair thickness and coil placement restrictions. The coil placement optimization is implemented in SimNIBS 3.2, for which an additional graphical user interface (TargetingNavigator) is provided to visualize/adjust procedural parameters. The coil optimization process also computes the E-field at the target, allowing the selection of the TMS device intensity setting to achieve specific E-field strengths. The optimized coil placement information is prepared for neuronavigation software, which supports targeting during the TMS procedure. The neuronavigation system can record the coil placement during the experiment, and these data can be processed in TAP to quantify the accuracy of the experimental TMS coil placement and induced E-field.Main results.TAP was demonstrated in a study consisting of three repetitive TMS sessions in five subjects. TMS was delivered by an experienced operator under neuronavigation with the computationally optimized coil placement. Analysis of the experimental accuracy from the recorded neuronavigation data indicated coil location and orientation deviations up to about 2 mm and 2°, respectively, resulting in an 8% median decrease in the target E-field magnitude compared to the optimal placement.Significance.TAP supports navigated TMS with a variety of features for rigorous and reproducible stimulation delivery, including planning and evaluation of coil placement and intensity selection for E-field-based dosing.

dc.identifier.issn

1741-2560

dc.identifier.issn

1741-2552

dc.identifier.uri

https://hdl.handle.net/10161/32056

dc.language

eng

dc.publisher

IOP Publishing

dc.relation.ispartof

Journal of neural engineering

dc.relation.isversionof

10.1088/1741-2552/ac63a4

dc.rights.uri

https://creativecommons.org/licenses/by-nc/4.0

dc.subject

Brain

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Humans

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Neuronavigation

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Retrospective Studies

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Prospective Studies

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Transcranial Magnetic Stimulation

dc.title

TAP: targeting and analysis pipeline for optimization and verification of coil placement in transcranial magnetic stimulation.

dc.type

Journal article

duke.contributor.orcid

Bukhari-Parlakturk, Noreen|0000-0001-9878-6459

duke.contributor.orcid

Peterchev, Angel V|0000-0002-4385-065X

pubs.begin-page

026050

pubs.end-page

026050

pubs.issue

2

pubs.organisational-group

Duke

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Pratt School of Engineering

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School of Medicine

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Clinical Science Departments

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Biomedical Engineering

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Electrical and Computer Engineering

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Psychiatry & Behavioral Sciences

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University Institutes and Centers

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Duke Institute for Brain Sciences

pubs.organisational-group

Neurology

pubs.organisational-group

Neurology, Movement Disorders

pubs.organisational-group

Neurosurgery

pubs.organisational-group

Psychiatry & Behavioral Sciences, Behavioral Medicine & Neurosciences

pubs.publication-status

Published

pubs.volume

19

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