Trial reportNeurosurgical focus2020
Accuracy analysis of fMRI and MEG activations determined by intraoperative mapping.
Trial report in Neurosurgical focus, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01535430 (Assessment of Reorganization and Plasticity of Eloquent Function in Patients With Brain Tumors), which is not on this map. Cited by 19 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Assessment of Reorganization and Plasticity of Eloquent Function in Patients With Brain Tumors
Who cites it
19 citing papers in PubMed, 34 citations in OpenAlex.
- A systematic review of the impact of stimulus presentation modality on fMRI studies for presurgical mapping.Neuroimage. Reports · 2026Review
- Spatiotemporal dynamics of lexical and morphosyntactic planning during language production revealed by magnetoencephalography.bioRxiv : the preprint server for biology · 2026Article
- Intraoperative functional brain mapping for glioma surgery: a comprehensive review of the University of California San Francisco mapping protocol.Journal of neuro-oncology · 2026Review
- Navigated Transcranial Magnetic Stimulation (nTMS): From Functional Brain Mapping to Clinical Applications in Neurosurgery and Neurology.Biomedicines · 2026Review
- Comparison of lateralization and spatial patterns of hemodynamic and neuromagnetic language brain mapping.Clinical neurophysiology practice · 2025Article
- Longitudinal changes in brain connectivity correlate with neuropsychological testing in brain tumor resection patients.Frontiers in neuroscience · 2025Article
- Treatment Options for IDH-Mutant Malignant Gliomas.Current treatment options in oncology · 2024Review
- Review
- BOLD Activation During the Application of MOXO-CPT in School Patients With and Without Attention Deficit Hyperactivity Disorder.Journal of attention disorders · 2024Article
- Comparing the efficacy of awake and sedated MEG to TMS in mapping hand sensorimotor cortex in a clinical cohort.NeuroImage. Clinical · 2024Article
- The surgical management of diffuse gliomas: Current state of neurosurgical management and future directions.Neuro-oncology · 2023Article
- Pre-Operative Functional Mapping in Patients with Brain Tumors by fMRI and MEG: Advantages and Disadvantages in the Use of One Technique over the Other.Life (Basel, Switzerland) · 2023Review
- Large-scale brain networks and intra-axial tumor surgery: a narrative review of functional mapping techniques, critical needs, and scientific opportunities.Frontiers in human neuroscience · 2023Review
- Maximal safe resection of diffuse lower grade gliomas primarily within central lobe using cortical/subcortical direct electrical stimulation under awake craniotomy.Frontiers in oncology · 2023Article
- Motor Mapping with Functional Magnetic Resonance Imaging: Comparison with Electrical Cortical Stimulation.Neurologia medico-chirurgica · 2022Article
- Advanced Imaging Techniques for Newly Diagnosed and Recurrent Gliomas.Frontiers in neuroscience · 2022Review
- Structural Brain Imaging Predicts Individual-Level Task Activation Maps Using Deep Learning.Frontiers in neuroimaging · 2022Article
- Organizing Variables Affecting fMRI Estimates of Language Dominance in Patients with Brain Tumors.Brain sciences · 2021Review
- Multitask fMRI and machine learning approach improve prediction of differential brain activity pattern in patients with insomnia disorder.Scientific reports · 2021Article
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 2 institutions in 1 country.
Funding
Abstract
objectiveBy looking at how the accuracy of preoperative brain mapping methods vary according to differences in the distance from the activation clusters used for the analysis, the present study aimed to elucidate how preoperative functional neuroimaging may be used in such a way that maximizes the mapping accuracy.
methodsThe eloquent function of 19 patients with a brain tumor or cavernoma was mapped prior to resection with both functional MRI (fMRI) and magnetoencephalography (MEG). The mapping results were then validated using direct cortical stimulation mapping performed immediately after craniotomy and prior to resection. The subset of patients with equivalent MEG and fMRI tasks performed for motor (n = 14) and language (n = 12) were evaluated as both individual and combined predictions. Furthermore, the distance resulting in the maximum accuracy, as evaluated by the J statistic, was determined by plotting the sensitivities and specificities against a linearly increasing distance threshold.
resultsfMRI showed a maximum mapping accuracy at 5 mm for both motor and language mapping. MEG showed a maximum mapping accuracy at 40 mm for motor and 15 mm for language mapping. At the standard 10-mm distance used in the literature, MEG showed a greater specificity than fMRI for both motor and language mapping but a lower sensitivity for motor mapping. Combining MEG and fMRI showed a maximum accuracy at 15 mm and 5 mm-MEG and fMRI distances, respectively-for motor mapping and at a 10-mm distance for both MEG and fMRI for language mapping. For motor mapping, combining MEG and fMRI at the optimal distances resulted in a greater accuracy than the maximum accuracy of the individual predictions.
conclusionsThis study demonstrates that the accuracy of language and motor mapping for both fMRI and MEG is heavily dependent on the distance threshold used in the analysis. Furthermore, combining MEG and fMRI showed the potential for increased motor mapping accuracy compared to when using the modalities separately.Clinical trial registration no.: NCT01535430 (clinicaltrials.gov).
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.