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Record W3004863197 · doi:10.1016/j.brs.2020.02.003

A new, open-source 3D-printed transcranial magnetic stimulation (TMS) coil tracker holder for double blind, sham-controlled neuronavigation studies

2020· letter· en· W3004863197 on OpenAlexaboutno aff
Kevin A. Caulfield, James W. Lopez, Claire Cox, Donna R. Roberts, Lisa M. McTeague

Bibliographic record

VenueBrain stimulation · 2020
Typeletter
Languageen
FieldNeuroscience
TopicTranscranial Magnetic Stimulation Studies
Canadian institutionsnot available
FundersEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentNational Institute of General Medical SciencesU.S. Department of Veterans AffairsNational Aeronautics and Space Administration
KeywordsTranscranial magnetic stimulationNeuronavigationElectromagnetic coilNeuromodulationStimulationPhospheneMedicineBiomedical engineeringNeurosciencePsychologyPhysicsMagnetic resonance imagingRadiology

Abstract

fetched live from OpenAlex

Transcranial magnetic stimulation (TMS) is a form of noninvasive neuromodulation that can be combined with neuronavigation to target specific brain regions and/or ensure reliable application to a given brain region. Current neuronavigation systems use a coil tracker holder that attaches around the handle of a TMS coil, and a coil tracker that inserts into the slot of the coil tracker holder (Fig. 1A). This commercially available TMS coil tracker holder design is one-sided, meaning it contains a slot for a coil tracker holder on only one side. Thus, to flip between two sides of the coil, the TMS operator must unscrew/flip the coil tracker holder and recalibrate the coil (Fig. 1A and C). This recalibration procedure can also cause unblinding of the TMS operator, particularly in new high-dose protocols that deliver multiple sessions per day that can include both active and sham stimulation within an individual [1Williams N.R. Sudheimer K.D. Bentzley B.S. Pannu J. Stimpson K.H. Duvio D. et al.High-dose spaced theta-burst TMS as a rapid-acting antidepressant in highly refractory depression.Brain. 2018; 141: e18-eCrossref PubMed Scopus (81) Google Scholar, 2Fitzgerald P.B. Chen L. Richardson K. Daskalakis Z.J. Hoy K.E. A pilot investigation of an intensive theta burst stimulation protocol for patients with treatment resistant depression.Brain stimul. 2020; 13: 137-144Abstract Full Text Full Text PDF PubMed Scopus (28) Google Scholar, 3Caulfield K.A. Is accelerated, high-dose theta burst stimulation a panacea for treatment-resistant depression?.J Neurophysiol. 2020; 123: 1-3Crossref PubMed Scopus (14) Google Scholar]. In this study, we invented an open-source, two-sided, 3D-printed TMS coil tracker holder that has a slot for a TMS coil tracker on both sides (Fig. 1B). This two-sided coil tracker holder allows the user to quickly and easily switch between coil sides by flipping the TMS coil and inserting the coil tracker into the slot on the opposite side (Fig. 1B and C). Notably, moving the coil tracker holder or recalibration is not necessary with this new design. We predicted that this 3D-printed coil tracker holder would be significantly easier and faster to use while remaining just as accurate as a commercially available TMS coil tracker holder requiring separate recalibration on each side. We recruited 11 TMS-trained operator participants (5 women, average TMS experience = 20.1 months, range = 1–72 months; average neuronavigation experience = 15.0 months, range = 0–72 months) for this study who were blinded to the purpose of the experiment. Prior to operator participants entering the room, we registered a confederate’s head to the 6th Generation MNI-152 template brain in the Brainsight neuronavigation system (Rogue Research; Montreal, Canada) and calibrated two TMS coils (a double-blind capable MagVenture Cool-B65 A/P coil with our 3D-printed TMS coil tracker holder and MagVenture C–B60 coil with the commercially available TMS coil tracker holder). Two different TMS coils were used due to the commercial TMS coil tracker holder not fitting on the MagVenture Cool-B65 A/P coil. To test accuracy, participants were asked to hold each TMS coil at a location that we marked on the confederate’s swim cap for left dorsolateral prefrontal cortex (identified via 10–20 EEG probabilistic placement to F3). Notably, operator participants were not allowed to look at the neuronavigation computer monitor as the distance between the initial target and position (in millimeters) was used to assess accuracy. Operator participants held the first TMS coil over the F3 spot and we sampled this location. Next, participants were asked to move the TMS coil at least 1 m on and off F3 5 times, taking 5 or more seconds between each measurement. To test time intensiveness, participants flipped the TMS coil to mimic a double-blind protocol requiring the TMS coil to be flipped. The methodology differed between the two coil trackers. With the commercial tracker, participants performed a conventional, 3 step recalibration procedure. First, participants were instructed to: 1) unscrew the coil tracker holder 2) flip the coil and screw the coil tracker holder onto the opposite coil side, 3) recalibrate the coil (Fig. 1C). With the 3D-printed tracker, participants were instructed to perform a 1 step recalibration procedure. Participants were asked to: 1) take the coil tracker out, flip the coil, and reinsert the coil tracker into the other, symmetrically placed slot (Fig. 1C). Notably, the 3D-printed tracker is two-sided and has a slot on each side, precluding the need for unscrewing the coil tracker holder, flipping the coil tracker holder, or recalibrating the coil. In both cases, we recorded the amount of time it took to flip and recalibrate the coil. After flipping the coil, we again recorded the distance between each target and the initial sampled F3 location 5 times. Operator participants each performed the protocol for both TMS coils in a counterbalanced order (6 used the 3D-printed coil tracker holder first). Following the experiment, participants filled out a questionnaire that assessed the ease of use between each coil tracker holder on scales of 0 (easiest) to 10 (hardest). We used repeated-measures ANOVAs in SPSS 25.0 (Armonk, NY, IBM Corp.) to assess the differences in accuracy, time to flip the coil, and ease of use between TMS coil tracker holders. Accuracy: There was a significant main effect of coil type (F, 1,10) = 11.18, p = 0.007, ɳp2 = 0.528), showing that our 3D-printed coil tracker holder on a MagVenture Cool-B65 A/P coil was more accurate than the commercial coil tracker holder on a MagVenture C–B60 coil (Fig. 1D). However, there was no main effect of coil side, F(1,10) = 4.26, p = 0.066, ɳp2 = 0.299, and no interaction between coil type and side. F(1,10) = 2.49, p = 0.146, ɳp2 = 0.199. Thus, while our 3D-printed coil tracker holder was more accurate, conclusions are limited by the confound of needing to use two different coils in addition to the two coil tracker holders. Time Intensiveness: Participants flipped our 3D-printed coil tracker significantly faster than flipping and recalibrating the commercially available coil tracker, F(1,10) = 126.4, p < 0.001, ɳp2 = 0.927 (Fig. 1E). Participants took an average of 4.75 seconds to flip our 3D-printed coil tracker (SEM = 0.47 seconds, range = 2.3–7.3 seconds) compared to 384.5 seconds (SEM = 33.9 seconds, range = 228–610 seconds) for the commercial TMS coil tracker holder. Ease of Use: Participants rated our 3D-printed coil tracker holder as significantly easier to use, F(1,10) = 119.7, p < 0.001, ɳp2 = 0.923 (Fig. 1F). On a scale from 0 (easiest to use) to 10 (hardest to use), participants rated our 3D-printed tracker an average of 1.20 (SEM = 0.41, range = 0–4.4) and the commercial coil tracker with recalibration an average of 8.05 (SEM = 0.32, range = 6.3–10). In conclusion, using our 3D-printed coil tracker holder to switch between two sides of a double-blind TMS coil is faster and easier, while just as accurate, as a commonly used commercially available coil tracker holder that requires recalibration between coil sides. Studies, in particular, that necessitate 1) precise and 2) reliable stimulation and blinding of both 3) participant and 4) operator in the context of delivery protocols that may include sham and active stimulation in the same day and/or protocol may benefit from utilizing this 3D-printed coil tracker holder. This 3D-printed tracker holder may also be useful for TMS operators who are unfamiliar with neuronavigation as it precludes the need for recalibration between coil sides. Our 3D-printed coil tracker holder is open-source and available online for free (https://www.thingiverse.com/thing:4077389). This study was supported by the Translational Research Institute for Space Health through NASA, NNX16AO69A. We confirm that there are no known conflicts of interest associated with this publication and there was no financial support for this work that could have influenced its outcome.

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How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.508
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.132
GPT teacher head0.357
Teacher spread0.224 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations3
Published2020
Admission routes1
Has abstractyes

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