ReviewEpilepsia2013
Epilepsy biomarkers.
Review in Epilepsia, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 113 papers.
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.
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.
Who cites it
113 citing papers in PubMed.
- Paroxysmal fast activity is a biomarker of treatment response in deep brain stimulation for Lennox-Gastaut syndrome.Epilepsia · 2022Trial
- Exploring the roles of ghrelin and nesfatin-1 as potential biomarkers in human epilepsy: a systematic review.Postepy psychiatrii neurologii · 2026Review
- Selected Molecular Targets for Counteracting Epileptogenesis: What Do We Know About Its Effective Inhibition?Current issues in molecular biology · 2026Review
- Epilepsy as a Multiscale Network Disorder: Integrating Precision Therapeutics and Emerging Experimental Platforms.Pharmaceutics · 2026Review
- Anti-Inflammatory and Antioxidant Strategies in Epilepsy: From Molecular Mechanisms to Threshold Management.International journal of molecular sciences · 2026Review
- Inverse Correlation Between Nesfatin-1 and Ghrelin O-Acyltransferase (GOAT) in Adolescents with Epilepsy: A Cross-Sectional Study.Biomolecules · 2026Article
- Predicting surgical outcome in drug-resistant epilepsy by combining interictal biomarkers within a machine learning framework.Scientific reports · 2026Article
- Predicting Surgical Outcome in Drug-Resistant Epilepsy by Combining Interictal Biomarkers within a Machine Learning Framework.Research square · 2026Article
- Photothrombosis-induced cortical stroke mouse model produces focal electrographic epileptic human biomarkers.Experimental neurology · 2026Article
- Epileptogenesis and Epilepsy Treatment: Advances in Mechanistic Understanding, Therapeutic Approaches, and Future Perspectives.International journal of molecular sciences · 2026Review
- 50 Hz Cortical stimulation increases interictal epileptiform discharges at the seizure onset zone.Brain communications · 2026Article
- Proteome profiling of cerebrospinal fluid-derived extracellular vesicles reveals potential biomarkers for drug-resistant epilepsy.Clinical proteomics · 2025Article
- Standardization of preclinical methodologies for discovery and validation of circulating microRNA biomarkers for post-traumatic epileptogenesis - Lessons learned from the EpiBioS4Rx Project 1.Epilepsy research · 2025Article
- A research roadmap for SCN8A-related disorders: addressing knowledge gaps and aligning research priorities across stakeholders.Orphanet journal of rare diseases · 2025Article
- EEG Spectral Exponents and Visual Chirp Responses Mirror Anti-Seizure Medication Load in Refractory Focal Epilepsy.Annals of clinical and translational neurology · 2025Article
- Preclinical PET imaging in epileptogenesis: towards identification of biomarkers and therapeutic targets.EJNMMI research · 2025Review
- Machine learning on interictal intracranial EEG predicts surgical outcome in drug resistant epilepsy.NPJ digital medicine · 2025Article
- Article
- Improving diagnostic accuracy of routine EEG for epilepsy using deep learning.Brain communications · 2025Article
- Precision medicine for epilepsy: challenges and perspectives for an optimized clinical care pathway.Frontiers in neurology · 2025Review
53 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
Abstract
A biomarker is defined as an objectively measured characteristic of a normal or pathologic biologic process. Identification and proper validation of biomarkers of epileptogenesis (the development of epilepsy) and ictogenesis (the propensity to generate spontaneous seizures) might predict the development of an epilepsy condition; identify the presence and severity of tissue capable of generating spontaneous seizures; measure progression after the condition is established; and determine pharmacoresistance. Such biomarkers could be used to create animal models for more cost-effective screening of potential antiepileptogenic and antiseizure drugs and devices, and to reduce the cost of clinical trials by enriching the trial population, and acting as surrogate markers to shorten trial duration. The objectives of the biomarker subgroup for the London Workshop were to define approaches for identifying possible biomarkers for these purposes. Research to identify reliable biomarkers may also reveal underlying mechanisms that could serve as therapeutic targets for the development of new antiepileptogenic and antiseizure compounds.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.