Evidence map›Paper›PMID 40043180›Full record

ReviewBrain : a journal of neurology2025

Towards precision MRI biomarkers in epilepsy with normative modelling.

Remika Mito, James H Cole, Sila Genc, Graeme D Jackson, Andrew Zalesky

Abstract readReview
In one paragraph

Review in Brain : a journal of neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Review
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

5 authors.

Remika MitoDepartment of Psychiatry, The University of Melbourne, Parkville, VIC 3052, Australia.ORCID 0000-0003-3945-2293
James H ColeDepartment of Computer Science, Hawkes Institute, University College London, London WC1V 6LJ, UK.ORCID 0000-0003-1908-5588
Sila GencDepartment of Neurosurgery, Neuroscience Advanced Clinical Imaging Service (NACIS), Royal Children's Hospital, Parkville, VIC 3052, Australia.
Graeme D JacksonFlorey Department of Neuroscience and Mental Health, The University of Melbourne, Heidelberg, VIC 3084, Australia.ORCID 0000-0002-7917-5326
Andrew ZaleskyDepartment of Psychiatry, The University of Melbourne, Parkville, VIC 3052, Australia.

Funding

Australian Epilepsy Project RFRHPSI000008Australian Research Council DE240101035Cooper FoundationRoyal Children's Hospital Foundation RCHF 2022-1402
6 · The paper itself

Abstract

Epilepsy is recognized as one of the leading targets for precision medicine, following on from the successes in cancer therapy, due to its substantial clinical heterogeneity and divergent therapeutic options. To bring personalized care to the epilepsies, there is a need for appropriate precision biomarkers that can identify disease processes or predict treatment outcomes at the individual patient level. Neuroimaging techniques, including MRI, have been transformative for clinical practice, particularly in medically refractory focal epilepsies. Advanced MRI techniques have the potential to bring precision medicine clearly into view for epileptology; however, there are challenges that must be overcome before cutting-edge neuroimaging tools can be used in clinical practice. In this review article, we communicate our view that implementation of normative modelling frameworks will help to deliver robust quantitative MRI biomarkers for individualized prediction. Here, we provide recommendations for researchers and clinicians alike, from careful research design to clinical applications, that will help to identify diagnostic and predictive imaging biomarkers. Such precision markers will be key to delivering personalized medicine for the epilepsies.

Indexed as

BrainEpilepsyMagnetic Resonance ImagingNeuroimagingPrecision MedicineBiomarkersHumansBiomarkersepilepsyfocal cortical dysplasiaMRI biomarkersneuroimagingnormative modelling

Identifiers

PMID40043180
PMCPMC12233557

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.