ArticleHuman brain mapping2018
Presurgical language fMRI: Technical practices in epilepsy surgical planning.
Article in Human brain mapping, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 2 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
33 citing papers in PubMed, 2 syntheses or guidelines pooled it, 52 citations in OpenAlex.
- The utilisation of fMRI for pre-operative mapping in the paediatric population with central nervous system tumours: a systematic review.Neuroradiology · 2025Pooled it
- Utilization of functional MRI language paradigms for pre-operative mapping: a systematic review.Neuroradiology · 2020Pooled it
- A systematic review of the impact of stimulus presentation modality on fMRI studies for presurgical mapping.Neuroimage. Reports · 2026Review
- Mapping and anatomo-surgical techniques for language preservation in brain tumours (Review).Experimental and therapeutic medicine · 2026Review
- Beyond Broca and Wernicke: Epilepsy surgery in the language areas.Epileptic disorders : international epilepsy journal with videotape · 2026Review
- Separating the forest from the palm trees: Individual variation in a presurgical language mapping task.NeuroImage. Clinical · 2026Article
- Improving presurgical language mapping by a method for optimally sorting independent components of resting-state fMRI.Brain imaging and behavior · 2025Article
- Consensus recommendations for clinical functional MRI applied to language mapping.Aperture neuro · 2025Article
- Predicting memory decline from left temporal lobe epilepsy surgery using preoperative fMRI: a multicenter study.NeuroImage. Clinical · 2025Observational
- Mapping Cognition in Epilepsy: From the Lab to the Clinic.Epilepsy currents · 2024Review
- Seeing more than the Tip of the Iceberg: Approaches to Subthreshold Effects in Functional Magnetic Resonance Imaging of the Brain.Clinical neuroradiology · 2024Review
- Functional Magnetic Resonance Imaging and Diffusion Tensor Imaging-Tractography in Resective Brain Surgery: Lesion Coverage Strategies and Patient Outcomes.Brain sciences · 2023Article
- Mapping cortical activations underlying covert and overt language production using high-density diffuse optical tomography.NeuroImage · 2023Article
- Task-Based and Resting-State Functional MRI in Observing Eloquent Cerebral Areas Personalized for Epilepsy and Surgical Oncology Patients: A Review of the Current Evidence.Journal of personalized medicine · 2023Review
- Standardization of presurgical language fMRI in Greek population: Mapping of six critical regions.Brain and behavior · 2022Article
- Improved localization of language areas using single voxel signal analysis of unprocessed fMRI data.Frontiers in radiology · 2022Article
- A New Functional Magnetic Resonance Imaging Localizer for Preoperative Language Mapping Using a Sentence Completion Task: Validity, Choice of Baseline Condition, and Test-Retest Reliability.Frontiers in human neuroscience · 2022Article
- Overt speech critically changes lateralization index and did not allow determination of hemispheric dominance for language: an fMRI study.BMC neuroscience · 2021Article
- Automated eloquent cortex localization in brain tumor patients using multi-task graph neural networks.Medical image analysis · 2021Article
- General principles governing the amount of neuroanatomical overlap between languages in bilinguals.Neuroscience and biobehavioral reviews · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors at 8 institutions in 4 countries.
Funding
Abstract
Little is known about how language functional MRI (fMRI) is executed in clinical practice in spite of its widespread use. Here we comprehensively documented its execution in surgical planning in epilepsy. A questionnaire focusing on cognitive design, image acquisition, analysis and interpretation, and practical considerations was developed. Individuals responsible for collecting, analyzing, and interpreting clinical language fMRI data at 63 epilepsy surgical programs responded. The central finding was of marked heterogeneity in all aspects of fMRI. Most programs use multiple tasks, with a fifth routinely using 2, 3, 4, or 5 tasks with a modal run duration of 5 min. Variants of over 15 protocols are in routine use with forms of noun-verb generation, verbal fluency, and semantic decision-making used most often. Nearly all aspects of data acquisition and analysis vary markedly. Neither of the two best-validated protocols was used by more than 10% of respondents. Preprocessing steps are broadly consistent across sites, language-related blood flow is most often identified using general linear modeling (76% of respondents), and statistical thresholding typically varies by patient (79%). The software SPM is most often used. fMRI programs inconsistently include input from experts with all required skills (imaging, cognitive assessment, MR physics, statistical analysis, and brain-behavior relationships). These data highlight marked gaps between the evidence supporting fMRI and its clinical application. Teams performing language fMRI may benefit from evaluating practice with reference to the best-validated protocols to date and ensuring individuals trained in all aspects of fMRI are involved to optimize patient care.
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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.