Evidence map›Paper›PMID 31578819›Full record

ArticleAnnals of clinical and translational neurology2019

Naming fMRI predicts the effect of temporal lobe resection on language decline.

Karin Trimmel, Louis A van Graan, Gloria G Gonzálvez, Anja Haag, Lorenzo Caciagli, Sjoerd B Vos, Silvia Bonelli, Meneka Sidhu, Pamela J Thompson, Matthias J Koepp and 1 more

Open access · goldAbstract read
In one paragraph

Article in Annals of clinical and translational neurology, 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.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
3.5field-weighted citation impact, top 7% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 43 citations in OpenAlex.

  1. Pooled it
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  5. A Rapid fMRI Paradigm for Localisation of the Language Network.The European journal of neuroscience · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 1 institution in 2 countries.

Karin TrimmelEpilepsy Society MRI Unit, Chalfont Centre for Epilepsy, Chalfont St Peter, SL9 0LR, United Kingdom.ORCID 0000-0002-9203-5344
Louis A van GraanEpilepsy Society MRI Unit, Chalfont Centre for Epilepsy, Chalfont St Peter, SL9 0LR, United Kingdom.
Gloria G GonzálvezEpilepsy Society MRI Unit, Chalfont Centre for Epilepsy, Chalfont St Peter, SL9 0LR, United Kingdom.
Anja HaagEpilepsy Society MRI Unit, Chalfont Centre for Epilepsy, Chalfont St Peter, SL9 0LR, United Kingdom.
Lorenzo CaciagliEpilepsy Society MRI Unit, Chalfont Centre for Epilepsy, Chalfont St Peter, SL9 0LR, United Kingdom.ORCID 0000-0001-7189-9699
Sjoerd B VosEpilepsy Society MRI Unit, Chalfont Centre for Epilepsy, Chalfont St Peter, SL9 0LR, United Kingdom.
Silvia BonelliEpilepsy Society MRI Unit, Chalfont Centre for Epilepsy, Chalfont St Peter, SL9 0LR, United Kingdom.
Meneka SidhuEpilepsy Society MRI Unit, Chalfont Centre for Epilepsy, Chalfont St Peter, SL9 0LR, United Kingdom.
Pamela J ThompsonEpilepsy Society MRI Unit, Chalfont Centre for Epilepsy, Chalfont St Peter, SL9 0LR, United Kingdom.
Matthias J KoeppEpilepsy Society MRI Unit, Chalfont Centre for Epilepsy, Chalfont St Peter, SL9 0LR, United Kingdom.
John S DuncanEpilepsy Society MRI Unit, Chalfont Centre for Epilepsy, Chalfont St Peter, SL9 0LR, United Kingdom.
National Hospital for Neurology and Neurosurgery · GB

Funding

Alfonso Martín Escudero Foundation SpainAustrian Society of NeurologyBrain Research UKEpilepsy Society Chalfont St. Peter, BuckinghamshireEuropean Academy of NeurologyNational Institute for Health Research University College London Hospitals Biomedical Research Centre
6 · The paper itself

Abstract

objectiveTo develop language functional MRI (fMRI) methods that accurately predict postsurgical naming decline in temporal lobe epilepsy (TLE).

methodsForty-six patients with TLE (25 left) and 19 controls underwent two overt fMRI paradigms (auditory naming and picture naming, both with active baseline conditions) and one covert task (verbal fluency). Clinical naming performance was assessed preoperatively and 4 months following anterior temporal lobe resection. Preoperative fMRI activations were correlated with postoperative naming decline. Individual laterality indices (LI) were calculated for temporal (auditory and picture naming) and frontal regions (verbal fluency) and were considered as predictors of naming decline in multiple regression models, along with other clinical variables (age at onset of seizures, preoperative naming scores, hippocampal volume, age).

resultsIn left TLE patients, activation of the left posterior inferior temporal gyrus during auditory naming and activation of left fusiform gyrus during picture naming were related to greater postoperative naming decline. Activation LI were the best individual predictors of naming decline in a multivariate regression model. For picture naming, an LI of higher than 0.34 gave 100% sensitivity and 92% specificity (positive predictive value (PPV) 91.6%). For auditory naming, a temporal lobe LI higher than 0.18 identified all patients with a clinically significant naming decline with 100% sensitivity and 58% specificity (PPV: 58.3%). No effect was seen for verbal fluency.

interpretationAuditory and picture naming fMRI are clinically applicable to predict postoperative naming decline after left temporal lobe resection in individual patients, with picture naming being more specific.

Indexed as

AdultAnterior Temporal LobectomyBrain MappingEpilepsy, Temporal LobeFemaleHumansLanguage DisordersMagnetic Resonance ImagingMaleMiddle AgedYoung Adult

Identifiers

PMID31578819
PMCPMC6856622
OpenAlexW2978357350

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.