Towards precision MRI biomarkers in epilepsy with normative modelling.

IF 10.6 1区 医学 Q1 CLINICAL NEUROLOGY
Brain Pub Date : 2025-03-05 DOI:10.1093/brain/awaf090
Remika Mito, James Cole, Sila Genc, Graeme Jackson, Andrew Zalesky
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引用次数: 0

Abstract

Epilepsy is recognised 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 personalised 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 magnetic resonance imaging (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 personalised medicine for the epilepsies.

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来源期刊
Brain
Brain 医学-临床神经学
CiteScore
20.30
自引率
4.10%
发文量
458
审稿时长
3-6 weeks
期刊介绍: Brain, a journal focused on clinical neurology and translational neuroscience, has been publishing landmark papers since 1878. The journal aims to expand its scope by including studies that shed light on disease mechanisms and conducting innovative clinical trials for brain disorders. With a wide range of topics covered, the Editorial Board represents the international readership and diverse coverage of the journal. Accepted articles are promptly posted online, typically within a few weeks of acceptance. As of 2022, Brain holds an impressive impact factor of 14.5, according to the Journal Citation Reports.
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