ArticleBrain stimulation
Neuronavigation maximizes accuracy and precision in TMS positioning: Evidence from 11,230 distance, angle, and electric field modeling measurements.
Article in Brain stimulation. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07278206 (Mitigating Cognitive Problems and Fatigue With Brain Stimulation in Long COVID), which is not on this map. Cited by 63 papers, 3 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Mitigating Cognitive Problems and Fatigue With Brain Stimulation in Long COVID
Who cites it
63 citing papers in PubMed, 3 syntheses or guidelines pooled it, 121 citations in OpenAlex.
- Challenges and future directions of transcranial direct current stimulation for depression: insights from a systematic review and meta-analysis.Revista brasileira de psiquiatria (Sao Paulo, Brazil : 1999) · 2025Pooled it
- Accelerated neurostimulation protocols for auditory hallucinations: a systematic review and meta-analysis.Frontiers in psychiatry · 2025Pooled it
- Outcome measures for electric field modeling in tES and TMS: A systematic review and large-scale modeling study.NeuroImage · 2023Pooled it
- Trial
- Individualizing rTMS in treatment-resistant depression from patient-specific perfusion abnormalities a proof-of-concept randomized trial in comparison to standard rTMS and tDCS.European archives of psychiatry and clinical neuroscience · 2025Trial
- Individualized transcranial direct current stimulation combined with foot core exercise improves foot and ankle sensorimotor function and static postural control in individuals with chronic ankle instability.Journal of neuroengineering and rehabilitation · 2025Trial
- Alleviating cognitive impairments in bipolar disorder with a novel DTI-guided multimodal neurostimulation protocol: a double-blind randomized controlled trial.BMC medicine · 2025Trial
- Trial
- Efficacy and Safety of High-Dose TBS on Poststroke Upper Extremity Motor Impairment: A Randomized Controlled Trial.Stroke · 2024Trial
- Connectivity-guided intermittent theta burst versus repetitive transcranial magnetic stimulation for treatment-resistant depression: a randomized controlled trial.Nature medicine · 2024Trial
- Prospective Development of a Whole-Brain Connectivity and Electric Field-Guided Transcranial Magnetic Stimulation Atlas for Posttraumatic Stress Disorder Symptoms.Biological psychiatry global open science · 2026Article
- Precision in Delivery, Variability in Response: A Multiscale Mechanistic Framework for Neuronavigated Transcranial Magnetic Stimulation.Brain sciences · 2026Review
- From Functional Mapping to Functional Recovery: The Emerging Role of Neuronavigated rTMS in Neurorehabilitation.Brain sciences · 2026Review
- Determinants of Repetitive Transcranial Magnetic Stimulation Efficacy in Tobacco Use Disorder: A Pre-Registered Study.medRxiv : the preprint server for health sciences · 2026Article
- Mixed reality assisted target localization for transcranial magnetic stimulation navigation: a feasibility study.Journal of neuroengineering and rehabilitation · 2026Article
- Clinical utility and prospective of TMS-EEG: Updated review from an international expert group.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2026Review
- Digital twin brain reveals state-specific stimulation targets for abnormal brain dynamics in tinnitus.BMC medicine · 2026Article
- Feasibility of transcranial magnetic stimulation adjuvant therapy for chronic respiratory diseases: a narrative review.Frontiers in rehabilitation sciences · 2026Review
- Article
- Effect of database, pre-processing pipeline, and scan duration on rs-fMRI functional connectivity based treatment targets for TMS obtained using the Stanford Neuromodulation Therapy (SNT) protocol.Psychoradiology · 2026Article
3 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
backgroundResearchers and clinicians have traditionally relied on elastic caps with markings to reposition the transcranial magnetic stimulation (TMS) coil between trains and sessions. Newer neuronavigation technology co-registers the patient's head and structural magnetic resonance imaging (MRI) scan, providing the researcher with real-time feedback about how to adjust the coil to be on-target. However, there has been no head to head comparison of accuracy and precision across treatment sessions.
objective/Hypothesis: In this two-part study, we compared elastic cap and neuronavigation targeting methodologies on distance, angle, and electric field (E-field) magnitude values.
methodsIn 42 participants receiving up to 50 total accelerated rTMS sessions in 5 days, we compared cap and neuronavigation targeting approaches in 3408 distance and 6816 angle measurements. In Experiment 1, TMS administrators saved an on-target neuronavigation location at Beam F3, which served as the landmark for all other measurements. Next, the operators placed the TMS coil based on cap markings or neuronavigation software to measure the distance and angle differences from the on-target sample. In Experiment 2, we saved each XYZ coordinate of the TMS coil from cap and neuronavigation targeting in 12 participants to compare the E-field magnitude differences at the cortical prefrontal target in 1106 cap and neuronavigation models.
resultsCap targeting was significantly off-target for distance, placing the coil an average of 10.66 mm off-target (Standard error of the mean; SEM = 0.19 mm) compared to 0.3 mm (SEM = 0.03 mm) for neuronavigation (p < 0.0001). Cap targeting also significantly deviated for angles off-target, averaging 7.79 roll/pitch degrees (SEM = 1.07°) off-target and 5.99 yaw degrees (SEM = 0.12°) off-target; in comparison, neuronavigation targeting positioned the coil 0.34 roll/pitch degrees (SEM = 0.01°) and 0.22 yaw (SEM = 0.004°) off-target (both p < 0.0001). Further analyses revealed that there were significant inter-operator differences on distance and angle positioning for F3 (all p < 0.05), but not neuronavigation. Lastly, cap targeting resulted in significantly lower E-fields at the intended prefrontal cortical target, with equivalent E-fields as 110.7% motor threshold (MT; range = 58.3-127.4%) stimulation vs. 119.9% MT (range = 115-123.3%) from neuronavigated targeting with 120% MT stimulation applied (p < 0.001).
conclusionsCap-based targeting is an inherent source of target variability compared to neuronavigation. Additionally, cap-based coil placement is more prone to differences across operators. Off-target coil placement secondary to cap-based measurements results in significantly lower amounts of stimulation reaching the cortical target, with some individuals receiving only 48.6% of the intended on-target E-field. Neuronavigation technology enables more precise and accurate TMS positioning, resulting in the intended stimulation intensities at the targeted cortical level.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.