Evidence map›Paper›PMID 33605514›Full record

ArticleHuman brain mapping2021

Fiber ball white matter modeling in focal epilepsy.

Lorna Bryant, Emilie T McKinnon, James A Taylor, Jens H Jensen, Leonardo Bonilha, Christophe de Bezenac, Barbara A K Kreilkamp, Guleed Adan, Udo C Wieshmann, Shubhabrata Biswas and 2 more

Open access · goldAbstract read
In one paragraph

Article in Human brain mapping, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

9 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Review
  3. 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
  4. Article
  5. Article
  6. Article
  7. Article
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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

12 authors at 2 institutions in 3 countries.

Lorna BryantDepartment of Pharmacology and Therapeutics, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, UK.
Emilie T McKinnonCenter for Biomedical Imaging, Medical University of South Carolina, Charleston, South Carolina, USA.
James A TaylorCenter for Biomedical Imaging, Medical University of South Carolina, Charleston, South Carolina, USA.
Jens H JensenCenter for Biomedical Imaging, Medical University of South Carolina, Charleston, South Carolina, USA.
Leonardo BonilhaDepartment of Neurology, Medical University of South Carolina, Charleston, South Carolina, USA.
Christophe de BezenacDepartment of Pharmacology and Therapeutics, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, UK.
Barbara A K KreilkampDepartment of Pharmacology and Therapeutics, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, UK.ORCID 0000-0001-6881-5191
Guleed AdanDepartment of Pharmacology and Therapeutics, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, UK.
Udo C WieshmannThe Walton Centre NHS Foundation Trust, Liverpool, UK.
Shubhabrata BiswasThe Walton Centre NHS Foundation Trust, Liverpool, UK.
Anthony G MarsonDepartment of Pharmacology and Therapeutics, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, UK.
Simon S KellerDepartment of Pharmacology and Therapeutics, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, UK.ORCID 0000-0001-5247-9795
University of Liverpool · GBMedical University of South Carolina · US

Funding

Medical Research Council MR/K023152/1Medical Research Council MR/S00355X/1
6 · The paper itself

Abstract

Multicompartment diffusion magnetic resonance imaging (MRI) approaches are increasingly being applied to estimate intra-axonal and extra-axonal diffusion characteristics in the human brain. Fiber ball imaging (FBI) and its extension fiber ball white matter modeling (FBWM) are such recently described multicompartment approaches. However, these particular approaches have yet to be applied in clinical cohorts. The modeling of several diffusion parameters with interpretable biological meaning may offer the development of new, noninvasive biomarkers of pharmacoresistance in epilepsy. In the present study, we used FBI and FBWM to evaluate intra-axonal and extra-axonal diffusion properties of white matter tracts in patients with longstanding focal epilepsy. FBI/FBWM diffusion parameters were calculated along the length of 50 white matter tract bundles and statistically compared between patients with refractory epilepsy, nonrefractory epilepsy and controls. We report that patients with chronic epilepsy had a widespread distribution of extra-axonal diffusivity relative to controls, particularly in circumscribed regions along white matter tracts projecting to cerebral cortex from thalamic, striatal, brainstem, and peduncular regions. Patients with refractory epilepsy had significantly greater markers of extra-axonal diffusivity compared to those with nonrefractory epilepsy. The extra-axonal diffusivity alterations in patients with epilepsy observed in the present study could be markers of neuroinflammatory processes or a reflection of reduced axonal density, both of which have been histologically demonstrated in focal epilepsy. FBI is a clinically feasible MRI approach that provides the basis for more interpretive conclusions about the microstructural environment of the brain and may represent a unique biomarker of pharmacoresistance in epilepsy.

Indexed as

AdultBiomarkersDiffusion Tensor ImagingDrug Resistant EpilepsyEpilepsies, PartialFemaleHumansMaleMiddle AgedModels, TheoreticalWhite MatterBiomarkersbiomarkersdiffusion MRIepilepsy

Identifiers

PMID33605514
PMCPMC8090772
OpenAlexW3131999127

What OpenQuestion holds

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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.