Evidence map›Paper›PMID 28031219›Full record

ArticleBrain : a journal of neurology2017

Preoperative automated fibre quantification predicts postoperative seizure outcome in temporal lobe epilepsy.

Simon S Keller, G Russell Glenn, Bernd Weber, Barbara A K Kreilkamp, Jens H Jensen, Joseph A Helpern, Jan Wagner, Gareth J Barker, Mark P Richardson, Leonardo Bonilha

Open access · bronzeAbstract read
In one paragraph

Article in Brain : a journal of neurology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed
11.2field-weighted citation impact, top 1% 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

61 citing papers in PubMed, 120 citations in OpenAlex.

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  11. Neurobehavioral and Clinical Comorbidities in Epilepsy: The Role of White Matter Network Disruption.The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry · 2024
    Review
  12. Article
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  16. Structural Fingerprinting of the Frontal Aslant Tract: Predicting Cognitive Control Capacity and Obsessive-Compulsive Symptoms.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023
    Article
  17. Article
  18. Article
  19. Observational
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1 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 5 institutions in 3 countries.

Simon S Keller1 Department of Molecular and Clinical Pharmacology, Institute of Translational Medicine, University of Liverpool, UK simon.keller@liverpool.ac.uk.
G Russell Glenn4 Center for Biomedical Imaging, Medical University of South Carolina, Charleston, USA.
Bernd Weber7 Department of Epileptology, University of Bonn, Germany.
Barbara A K Kreilkamp1 Department of Molecular and Clinical Pharmacology, Institute of Translational Medicine, University of Liverpool, UK.
Jens H Jensen4 Center for Biomedical Imaging, Medical University of South Carolina, Charleston, USA.
Joseph A Helpern4 Center for Biomedical Imaging, Medical University of South Carolina, Charleston, USA.
Jan Wagner7 Department of Epileptology, University of Bonn, Germany.
Gareth J Barker10 Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK.
Mark P Richardson3 Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK.
Leonardo Bonilha12 Department of Neurology, Medical University of South Carolina, Charleston, USA.
Medical University of South Carolina · USKing's College London · GBLife & Brain (Germany) · DEUniversity of Bonn · DEUniversity of Liverpool · GB

Funding

South Carolina Clinical & Translational Research Institute (SCTR)UL1TR000062 · NCATS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI BRADY, KATHLEEN T. · 2012 to 2014
$9.4M
Medical Research Council MR/K023152/1Medical Research Council MR/N026063/1NCATS NIH HHS UL1 TR000062
6 · The paper itself

Abstract

Approximately one in every two patients with pharmacoresistant temporal lobe epilepsy will not be rendered completely seizure-free after temporal lobe surgery. The reasons for this are unknown and are likely to be multifactorial. Quantitative volumetric magnetic resonance imaging techniques have provided limited insight into the causes of persistent postoperative seizures in patients with temporal lobe epilepsy. The relationship between postoperative outcome and preoperative pathology of white matter tracts, which constitute crucial components of epileptogenic networks, is unknown. We investigated regional tissue characteristics of preoperative temporal lobe white matter tracts known to be important in the generation and propagation of temporal lobe seizures in temporal lobe epilepsy, using diffusion tensor imaging and automated fibre quantification. We studied 43 patients with mesial temporal lobe epilepsy associated with hippocampal sclerosis and 44 healthy controls. Patients underwent preoperative imaging, amygdalohippocampectomy and postoperative assessment using the International League Against Epilepsy seizure outcome scale. From preoperative imaging, the fimbria-fornix, parahippocampal white matter bundle and uncinate fasciculus were reconstructed, and scalar diffusion metrics were calculated along the length of each tract. Altogether, 51.2% of patients were rendered completely seizure-free and 48.8% continued to experience postoperative seizure symptoms. Relative to controls, both patient groups exhibited strong and significant diffusion abnormalities along the length of the uncinate bilaterally, the ipsilateral parahippocampal white matter bundle, and the ipsilateral fimbria-fornix in regions located within the medial temporal lobe. However, only patients with persistent postoperative seizures showed evidence of significant pathology of tract sections located in the ipsilateral dorsal fornix and in the contralateral parahippocampal white matter bundle. Using receiver operating characteristic curves, diffusion characteristics of these regions could classify individual patients according to outcome with 84% sensitivity and 89% specificity. Pathological changes in the dorsal fornix were beyond the margins of resection, and contralateral parahippocampal changes may suggest a bitemporal disorder in some patients. Furthermore, diffusion characteristics of the ipsilateral uncinate could classify patients from controls with a sensitivity of 98%; importantly, by co-registering the preoperative fibre maps to postoperative surgical lacuna maps, we observed that the extent of uncinate resection was significantly greater in patients who were rendered seizure-free, suggesting that a smaller resection of the uncinate may represent insufficient disconnection of an anterior temporal epileptogenic network. These results may have the potential to be developed into imaging prognostic markers of postoperative outcome and provide new insights for why some patients with temporal lobe epilepsy continue to experience postoperative seizures.

Indexed as

Outcome Assessment, Health CareAdultAmygdalaDiffusion Tensor ImagingDrug Resistant EpilepsyEpilepsy, Temporal LobeFemaleHippocampusHumansMaleMiddle AgedPostoperative PeriodPreoperative CareWhite Matterimagingoutcomeprognosisseizuressurgery

Identifiers

PMID28031219
PMCPMC5226062
OpenAlexW2552274917

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.