ArticleEpilepsia2019
fMRI prediction of naming change after adult temporal lobe epilepsy surgery: Activation matters.
Article in Epilepsia, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
21 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Pooled it
- Roles of fMRI and Wada tests in the presurgical evaluation of language functions in temporal lobe epilepsy.Frontiers in neurology · 2022Pooled it
- Contralateral language network integration predicts and protects against naming decline after temporal lobe resection.Epilepsia · 2026Article
- Dynamic neuroplasticity of language networks: The intersection of bilingualism and epilepsy.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Consensus recommendations for clinical functional MRI applied to language mapping.Aperture neuro · 2025Article
- Comparison of lateralization and spatial patterns of hemodynamic and neuromagnetic language brain mapping.Clinical neurophysiology practice · 2025Article
- Short-term changes in brain networks and cognition in children with frontal lobe lesions treated solely with neurosurgical procedures.Scientific reports · 2024Article
- Chinese Verbal Fluency Deficiency in Temporal Lobe Epilepsy with and without Hippocampal Sclerosis: A Multiscale Study.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Naming fMRI-guided white matter language tract volumes influence naming decline after temporal lobe resection.Journal of neurology · 2024Article
- Dynamic causal modeling of reorganization of memory and language networks in temporal lobe epilepsy.Annals of clinical and translational neurology · 2023Article
- Prediction of Naming Outcome With fMRI Language Lateralization in Left Temporal Epilepsy Surgery.Neurology · 2022Article
- Article
- Localization of beta power decrease as measure for lateralization in pre-surgical language mapping with magnetoencephalography, compared with functional magnetic resonance imaging and validated by Wada test.Frontiers in human neuroscience · 2022Article
- Mapping of Language-and-Memory Networks in Patients With Temporal Lobe Epilepsy by Using the GE2REC Protocol.Frontiers in human neuroscience · 2021Article
- Language lateralization from task-based and resting state functional MRI in patients with epilepsy.Human brain mapping · 2020Article
- Article
- Naming fMRI predicts the effect of temporal lobe resection on language decline.Annals of clinical and translational neurology · 2019Article
- A Functional MRI Paradigm Suitable for Language and Memory Mapping in Pediatric Temporal Lobe Epilepsy.Frontiers in neurology · 2019Article
- Language Dominance in Patients With Malformations of Cortical Development and Epilepsy.Frontiers in neurology · 2019Article
- Is fMRI Ready to Replace IAP? Wait, Wait,…We Are Not There Yet!Epilepsy currentsArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
Abstract
objectiveWe aimed to predict language deficits after epilepsy surgery. In addition to evaluating surgical factors examined previously, we determined the impact of the extent of functional magnetic resonance imaging (fMRI) activation that was resected on naming ability.
methodThirty-five adults (mean age 37.5 ± 10.9 years, 13 male) with temporal lobe epilepsy completed a preoperative fMRI auditory description decision task, which reliably activates frontal and temporal language networks. Patients underwent temporal lobe resections (20 left resection). The Boston Naming Test (BNT) was used to determine language functioning before and after surgery. Language dominance was determined for Broca and Wernicke area (WA) by calculating a laterality index following statistical parametric mapping processing. We used an innovative method to generate anatomic resection masks automatically from pre- and postoperative MRI tissue map comparison. This mask provided the following: (a) resection volume; (b) overlap between resection and preoperative activation; and (c) overlap between resection and WA. We examined postoperative language change predictors using stepwise linear regression. Predictors included parameters described above as well as age at seizure onset (ASO), preoperative BNT score, and resection side and its relationship to language dominance.
resultsSeven of 35 adults had significant naming decline (6 dominant-side resections). The final regression model predicted 38% of the naming score change variance (adjusted r SIGNIFICANCE: Resection of fMRI activation during a word-definition decision task is an important factor for postoperative change in naming ability, along with other previously reported predictors. Currently, many centers establish language dominance using fMRI. Our results suggest that the amount of the top 10% of language fMRI activation in the intended resection area provides additional predictive power and should be considered when planning surgical resection.
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.