Evidence map›Paper›PMID 42871237›Full record

ReviewEpilepsy currents2026

Common Data Elements for Preclinical High-Frequency Oscillations in Epilepsy.

Ziyi Wang, JiaoJiao Guo, Christos Panagiotis Lisgaras

Abstract readReview
In one paragraph

Review in Epilepsy currents, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Ziyi WangCenter for Dementia Research, Laboratory of Brain Oscillations and Advanced Therapeutics, New York State Office of Mental Health, The Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY, USA.
JiaoJiao GuoCenter for Dementia Research, Laboratory of Brain Oscillations and Advanced Therapeutics, New York State Office of Mental Health, The Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY, USA.
Christos Panagiotis LisgarasCenter for Dementia Research, Laboratory of Brain Oscillations and Advanced Therapeutics, New York State Office of Mental Health, The Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY, USA.ORCID https://orcid.org/0000-0003-3712-5993

Funding

High frequency oscillations in Alzheimer's diseaseR21AG086880 · NIA · NATHAN S. KLINE INSTITUTE FOR PSYCH RES · PI LISGARAS, CHRISTOS PANAGIOTIS · 2024 to 2024
$454k
NIA NIH HHS R21 AG086880
6 · The paper itself

Abstract

Normal brain function relies on coordinated oscillations within and across neural circuits. In epilepsy, disruption of these oscillations may reflect pathological excitability associated with seizure generation and/or the emergence of comorbidities. Among these oscillatory activities, high-frequency oscillations (HFOs, typically within 80-500 Hz) are increasingly considered promising electrophysiological biomarkers of epileptogenicity. Preclinical models provide a powerful platform for elucidating the mechanisms underlying HFO generation and for evaluating candidate therapeutic strategies. However, substantial heterogeneity persists across preclinical HFO studies in recording techniques, signal definitions, and reporting practices. This variability limits reproducibility and hampers comparisons between preclinical findings and human data, highlighting the need for greater harmonization. To that end, we propose a set of common data elements (CDEs) organized across 4 domains: (1) HFO recording, (2) HFO definition and detection, (3) HFO reporting and quantification, and (4) biological and disease context CDEs to capture subject- and model-specific parameters that may affect HFO interpretation and comparisons across studies. CDEs are classified as either core, representing the essential information recommended for all HFO studies; or optional, representing additional information recommended when relevant to the experimental design or research question. For practical implementation, CDEs are operationalized through structured case report forms that can be integrated into Research Electronic Data Capture systems for scalable implementation. By promoting harmonized practices, HFO CDEs aim to facilitate a common reporting language in preclinical and translational HFO research in epilepsy, enhance methodological rigor and transparency, and facilitate comparisons across laboratories and experimental models.

Indexed as

biomarkersepilepsyseizuressurgery

Identifiers

PMID42871237
PMCPMC13658628

What OpenQuestion holds

Textmetadata
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.