Evidence map›Paper›PMID 32512346›Full record

ArticleClinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology2020

Seizure onset location shapes dynamics of initiation.

Pariya Salami, Noam Peled, Jessica K Nadalin, Louis-Emmanuel Martinet, Mark A Kramer, Jong W Lee, Sydney S Cash

Open access · greenAbstract read
In one paragraph

Article in Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

15 citing papers in PubMed, 34 citations in OpenAlex.

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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 3 institutions in 1 country.

Pariya SalamiDepartment of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA. Electronic address: psalami@mgh.harvard.edu.
Noam PeledDepartment of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Jessica K NadalinDepartment of Mathematics and Statistics, Boston University, Boston, MA, USA.
Louis-Emmanuel MartinetDepartment of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Mark A KramerDepartment of Mathematics and Statistics, Boston University, Boston, MA, USA.
Jong W LeeDepartment of Neurology, Brigham and Women's Hospital, Boston, MA, USA.
Sydney S CashDepartment of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Harvard University · USBoston University · USBrigham and Women's Hospital · US

Funding

Neurophysiology of Human Cortical EpilepsyR01NS062092 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI CASH, SYDNEY S · 2010 to 2021
$4.7M
Multi-Scale Cortical Dynamics in Human EpilepsyR01NS079533 · NINDS · BROWN UNIVERSITY · PI TRUCCOLO, WILSON · 2012 to 2022
$3.4M
Multiscale analysis and modeling of spatiotemporal dynamics in human epilepsyR01NS072023 · NINDS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI EDEN, URI TZVI, KRAMER, MARK ALAN · 2011 to 2015
$1.8M
Measuring, Modeling, and Modulating Cross-Frequency CouplingR01EB026938 · NIBIB · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI EDEN, URI TZVI, KRAMER, MARK ALAN · 2018 to 2020
$1.0M
Seizure focus delineation using spontaneous and stimulus evoked EEG featuresK24NS088568 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI CASH, SYDNEY S · 2015 to 2019
$923k
NIBIB NIH HHS R01 EB026938NINDS NIH HHS K24 NS088568NINDS NIH HHS R01 NS062092NINDS NIH HHS R01 NS072023NINDS NIH HHS R01 NS079533
6 · The paper itself

Abstract

objectiveIctal electrographic patterns are widely thought to reflect underlying neural mechanisms of seizures. Here we studied the degree to which seizure patterns are consistent in a given patient, relate to particular brain regions and if two candidate biomarkers (high-frequency oscillations, HFOs; infraslow activity, ISA) and network activity, as assessed with cross-frequency interactions, can discriminate between seizure types.

methodsWe analyzed temporal changes in low and high frequency oscillations recorded during seizures, as well as phase-amplitude coupling (PAC) to monitor the interactions between delta/theta and ripple/fast ripple frequency bands at seizure onset.

resultsSeizures of multiple electrographic patterns were observed in a given patient and brain region. While there was an increase in HFO rate across different electrographic patterns, there are specific relationships between types of HFO activity and onset region. Similarly, changes in PAC dynamics were more closely related to seizure onset region than they were to electrographic patterns while ISA was a poor indicator for seizure onset.

conclusionsOur findings suggest that the onset region sculpts neurodynamics at seizure initiation and that unique features of the cytoarchitecture and/or connectivity of that region play a significant role in determining seizure mechanism. SIGNIFICANCE: To learn how seizures are initiated, researchers would do well to consider other aspects of their manifestation, in addition to their electrographic patterns. Examination of onset pattern in conjunction with the interactions between different oscillatory frequencies in the context of different brain regions might be more informative and lead to more reliable clinical inference as well as novel therapeutic approaches.

Indexed as

AdolescentAdultBrainBrain MappingBrain WavesChildElectroencephalographyEpilepsyFemaleHumansMaleMiddle AgedSeizuresYoung AdultHigh-frequency oscillationInfraslow-activityPhase-amplitude couplingSeizure generationSeizure onset-pattern

Identifiers

PMID32512346
PMCPMC7386838
OpenAlexW3030045875

What OpenQuestion holds

Textmetadata
LicenceTDM
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.