Evidence map›Paper›PMID 32581741›Full record

ArticleFrontiers in human neuroscience2020

Identifying the Epileptogenic Zone With the Relative Strength of High-Frequency Oscillation: A Stereoelectroencephalography Study.

Lei Qi, Xing Fan, Xiaorong Tao, Qi Chai, Kai Zhang, Fangang Meng, Wenhan Hu, Lin Sang, Xiaoli Yang, Hui Qiao

Open access · goldAbstract read
In one paragraph

Article in Frontiers in human neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 24% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

10 authors at 4 institutions in 1 country.

Lei QiBeijing Neurosurgical Institute, Capital Medical University, Beijing, China.
Xing FanBeijing Neurosurgical Institute, Capital Medical University, Beijing, China.
Xiaorong TaoBeijing Neurosurgical Institute, Capital Medical University, Beijing, China.
Qi ChaiBeijing Neurosurgical Institute, Capital Medical University, Beijing, China.
Kai ZhangBeijing Neurosurgical Institute, Capital Medical University, Beijing, China.
Fangang MengBeijing Neurosurgical Institute, Capital Medical University, Beijing, China.
Wenhan HuBeijing Neurosurgical Institute, Capital Medical University, Beijing, China.
Lin SangBeijing Fengtai Hospital, Beijing, China.
Xiaoli YangBeijing Fengtai Hospital, Beijing, China.
Hui QiaoBeijing Neurosurgical Institute, Capital Medical University, Beijing, China.
Beijing Institute of Neurosurgery · CNBeijing Tian Tan Hospital · CNBeijing Fengtai Hospital · CNCapital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHigh-frequency oscillation (HFO) represents a promising biomarker of epileptogenicity. However, the significant interindividual differences among patients limit its application in clinical practice. Here, we applied and evaluated an individualized, frequency-based approach of HFO analysis in stereoelectroencephalography (SEEG) data for localizing the epileptogenic zones (EZs).

methodsClinical and SEEG data of 19 patients with drug-resistant focal epilepsy were retrospectively analyzed. The individualized spectral power of all signals recorded by electrode array, i.e., the relative strength of HFO, was computed with a wavelet method for each patient. Subsequently, the clinical value of the relative strength of HFO for identifying the EZ was evaluated.

resultsFocal increase in the relative strength of HFO in SEEG recordings were identified in all 19 patients. HFOs identified inside the clinically identified seizure onset zone had more spectral power than those identified outside (

conclusionThe relative strength of HFO, especially fast ripples, is a promising effective biomarker for identifying the EZ and can lead to a favorable seizure outcome if used to guide epilepsy surgery.

Indexed as

epilepsy surgeryhigh-frequency oscillationseizurestereo-EEGwavelet analysis

Identifiers

PMID32581741
PMCPMC7296092
OpenAlexW3035700451

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.