Evidence map›Paper›PMID 32202494›Full record

ArticleeLife2020

A model for focal seizure onset, propagation, evolution, and progression.

Jyun-You Liou, Elliot H Smith, Lisa M Bateman, Samuel L Bruce, Guy M McKhann, Robert R Goodman, Ronald G Emerson, Catherine A Schevon, L F Abbott

Open access · goldAbstract read
In one paragraph

Article in eLife, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
7.6field-weighted citation impact, top 2% 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

44 citing papers in PubMed, 104 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 1 country.

Jyun-You LiouDepartment of Physiology and Cellular Biophysics, Columbia University, New York, United States.ORCID 0000-0003-4851-3676
Elliot H SmithDepartment of Neurological Surgery, Columbia University Medical Center, New York, United States.ORCID 0000-0003-4323-4643
Lisa M BatemanDepartment of Neurology, Columbia University Medical Center, New York, United States.
Samuel L BruceVagelos College of Physicians & Surgeons, Columbia University, New York, United States.
Guy M McKhannDepartment of Neurological Surgery, Columbia University Medical Center, New York, United States.
Robert R GoodmanDepartment of Neurological Surgery, Columbia University Medical Center, New York, United States.
Ronald G EmersonDepartment of Neurology, Columbia University Medical Center, New York, United States.
Catherine A SchevonDepartment of Neurology, Columbia University Medical Center, New York, United States.ORCID 0000-0002-4485-7933
L F AbbottDepartment of Physiology and Cellular Biophysics, Columbia University, New York, United States.
Columbia University Irving Medical Center · USColumbia University · USNewYork–Presbyterian Hospital · US

Funding

Seizure localization in humans: the effect of inhibitory surround on the EEGR01NS084142 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SCHEVON, CATHERINE A · 2013 to 2022
$6.0M
Understanding the Fast and Slow Spatiotemporal Dynamics of Human SeizuresR01NS110669 · NINDS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI CASH, SYDNEY S, EDEN, URI TZVI · 2019 to 2023
$2.3M
CRCNS: Neural Populations, High Frequency Oscillations and EEG seizuresR01NS095368 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SCHEVON, CATHERINE A · 2015 to 2017
$966k
National Science Foundation DBI-1707398NINDS NIH HHS R01 NS084142NINDS NIH HHS R01 NS095368NINDS NIH HHS R01 NS110669
6 · The paper itself

Abstract

We developed a neural network model that can account for major elements common to human focal seizures. These include the tonic-clonic transition, slow advance of clinical semiology and corresponding seizure territory expansion, widespread EEG synchronization, and slowing of the ictal rhythm as the seizure approaches termination. These were reproduced by incorporating usage-dependent exhaustion of inhibition in an adaptive neural network that receives global feedback inhibition in addition to local recurrent projections. Our model proposes mechanisms that may underline common EEG seizure onset patterns and status epilepticus, and postulates a role for synaptic plasticity in the emergence of epileptic foci. Complex patterns of seizure activity and bi-stable seizure end-points arise when stochastic noise is included. With the rapid advancement of clinical and experimental tools, we believe that this model can provide a roadmap and potentially an in silico testbed for future explorations of seizure mechanisms and clinical therapies.

Indexed as

Disease SusceptibilityModels, TheoreticalDisease ProgressionElectroencephalographyFemaleHumansMaleMicroelectrodesNeuronal PlasticityNeuronsPyramidal CellsSeizuresSeverity of Illness Indexcomputational biologyEEGepilepsyfocal seizurehumanneuroscienceseizure modelssynaptic plasticitysystems biologytraveling waves

Identifiers

PMID32202494
PMCPMC7089769
OpenAlexW3012706327

What OpenQuestion holds

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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.