Evidence map›Paper›PMID 34742877›Full record

ArticleNeurobiology of disease2021

Spatial and temporal profile of high-frequency oscillations in posttraumatic epileptogenesis.

Lin Li, Udaya Kumar, Jing You, Yufeng Zhou, Shennan A Weiss, Jerome Engel, Anatol Bragin

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Neurobiology of disease, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
4.1field-weighted citation impact, top 5% 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

19 citing papers in PubMed, 34 citations in OpenAlex.

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  12. Networks through the lens of high-frequency oscillations.Frontiers in network physiology · 2024
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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

7 authors at 4 institutions in 1 country.

Lin LiDepartment of Neurology, University of California Los Angeles, CA 90095, USA; Department of Biomedical Engineering, University of North Texas, TX 76207, USA. Electronic address: lin.li@unt.edu.
Udaya KumarDepartment of Neurology, University of California Los Angeles, CA 90095, USA.
Jing YouDepartment of Biomedical Engineering, University of North Texas, TX 76207, USA.
Yufeng ZhouDepartment of Biomedical Engineering, University of North Texas, TX 76207, USA.
Shennan A WeissDepts. of Neurology, Dept. of Physiology and Pharmacology, State University of New York Downstate, Brooklyn, New York 11203, USA; Department of Neurology, New York City Health + Hospitals/Kings County, Brooklyn, NY 11203, USA.
Jerome EngelDepartment of Neurology, University of California Los Angeles, CA 90095, USA; Brain Research Institute, University of California, Los Angeles, CA 90095, USA; Department of Neurobiology, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA; Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA.
Anatol BraginDepartment of Neurology, University of California Los Angeles, CA 90095, USA; Brain Research Institute, University of California, Los Angeles, CA 90095, USA. Electronic address: abragin@mednet.ucla.edu.
University of North Texas · USUniversity of California, Los Angeles · USNeurobehavioral Systems · USSUNY Downstate Health Sciences University · US

Funding

The Epilepsy Bioinformatics Study for Antiepileptogenic Therapy (EpiBioS4Rx) Public Engagement CoreU54NS100064 · NINDS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI MOSHE, SOLOMON L. · 2017 to 2021
$21.7M
IN VIVO STUDIES OF THE EPILEPTIC HIPPOCAMPUSR01NS033310 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI JEROME NONE ENGEL, Richard Staba · 1994 to 2026
$7.5M
New Electrographic Biomarkers of EpileptogenesisR01NS065877 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BRAGIN, ANATOL · 2010 to 2018
$4.0M
New Biomarkers of EpileptogenesisR56NS065877 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BRAGIN, ANATOL · 2019 to 2019
$540k
NINDS NIH HHS R01 NS033310NINDS NIH HHS R01 NS065877NINDS NIH HHS R56 NS065877NINDS NIH HHS U54 NS100064
6 · The paper itself

Abstract

We studied the role of temporal and spatial changes in high-frequency oscillation (HFO, 80-500 Hz) generation in epileptogenesis following traumatic brain injury (TBI). Experiments were conducted on adult male Sprague Dawley rats. For the TBI group, fluid percussion injury (FPI) on the left sensorimotor area was performed to induce posttraumatic epileptogenesis. For the sham control group, only the craniotomy was performed. After TBI, 8 bipolar micro-electrodes were implanted bilaterally in the prefrontal cortex, perilesional area and homotopic contralateral site, striatum, and hippocampus. Long-term video/local field potential (LFP) recordings were performed for up to 21 weeks to identify and characterize seizures and capture HFOs. The electrode tip locations and the volume of post TBI brain lesions were further estimated by ex-vivo MRI scans. HFOs were detected during slow-wave sleep and categorized as ripple (80-200 Hz) and fast ripple (FR, 250-500 Hz) events. HFO rates and the HFO peak frequencies were compared in the 8 recording locations and across 8-weeks following TBI. Data from 48 rats (8 sham controls and 40 TBI rats) were analyzed. Within the TBI group, 22 rats (55%) developed recurrent spontaneous seizures (E+ group), at an average of 62.2 (+17.1) days, while 18 rats (45%) did not (E- group). We observed that the HFOs in the E+ group had a higher mean peak frequency than the E- group and the sham group (P < 0.05). Furthermore, the FR rate of the E+ group showed a significant increase compared to the E-group (P < 0.01) and sham control group (P < 0.01), specifically in the perilesional area, homotopic contralateral site, bilateral hippocampus, and to a lesser degree bilateral striatum. When compared across time, the increased FR rate in the E+ group occurred immediately after the insult and remained stable across the duration of the experiment. In addition, lesion size was not statistically different in the E+ and E- group and was not correlated with HFO rates. Our results suggest that TBI results in the formation of a widespread epileptogenic network. FR rates serve as a biomarker of network formation and predict the future development of epilepsy, however FR are not a temporally specific biomarker of TBI sequelae responsible for epileptogenesis. These results suggest that in patients, future risk of post-TBI epilepsy can be predicted early using FR.

Indexed as

Brain Injuries, TraumaticEpilepsyAnimalsElectroencephalographyHippocampusHumansMaleRatsRats, Sprague-DawleySeizuresEpileptogenesisExtrahippocampal HFOFast ripplePosttraumatic epilepsyRipple

Identifiers

PMID34742877
PMCPMC9075674
OpenAlexW3208008184

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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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.