Evidence map›Paper›PMID 32194384›Full record

ArticleFrontiers in human neuroscience2020

Interictal Epileptiform Discharges and the Quality of Human Intracranial Neurophysiology Data.

Simon G Ammanuel, Jonathan K Kleen, Matthew K Leonard, Edward F Chang

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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.2field-weighted citation impact, top 51% 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

7 citing papers in PubMed, 12 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

4 authors at 2 institutions in 1 country.

Simon G AmmanuelDepartment of Neurological Surgery, University of California, San Francisco, San Francisco, CA, United States.
Jonathan K KleenDepartment of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States.
Matthew K LeonardDepartment of Neurological Surgery, University of California, San Francisco, San Francisco, CA, United States.
Edward F ChangDepartment of Neurological Surgery, University of California, San Francisco, San Francisco, CA, United States.
University of California, San Francisco · USNeurological Surgery · US

Funding

Functional organization of the superior temporal gyrus for speech perceptionR01DC012379 · NIDCD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Edward Chang · 2012 to 2026
$8.3M
NINDS Research Education Programs for Residents and Fellows in Neurology, Neurosurgery, Neuropathology, Neuroradiology and Emergency Medicine (R25)R25NS070680 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JOSEPHSON, SCOTT ANDREW · 2010 to 2023
$6.8M
Neural Systems in Auditory and Speech CategorizationR01DC015504 · NIDCD · UNIVERSITY OF TEXAS AT AUSTIN · PI CHANDRASEKARAN, BHARATH · 2017 to 2021
$2.3M
Hippocampal-cortical networks underlying memory retrieval of linguistic knowledgeK23NS110920 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KLEEN, JONATHAN · 2019 to 2023
$1.0M
Neocortical Mechanisms of Categorical Speech PerceptionR00NS065120 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CHANG, EDWARD · 2010 to 2012
$729k
The Neurophysiological Dynamics of Lexical and Sub-Lexical RepresentationsF32DC013486 · NIDCD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LEONARD, MATTHEW KANTER · 2013 to 2016
$168k
NIDCD NIH HHS F32 DC013486NIDCD NIH HHS R01 DC012379NIDCD NIH HHS R01 DC015504NINDS NIH HHS K23 NS110920NINDS NIH HHS R00 NS065120NINDS NIH HHS R25 NS070680
6 · The paper itself

Abstract

Intracranial electroencephalography (IEEG) involves recording from electrodes placed directly onto the cortical surface or deep brain locations. It is performed on patients with medically refractory epilepsy, undergoing pre-surgical seizure localization. IEEG recordings, combined with advancements in computational capacity and analysis tools, have accelerated cognitive neuroscience. This Perspective describes a potential pitfall latent in many of these recordings by virtue of the subject population-namely interictal epileptiform discharges (IEDs), which can cause spurious results due to the contamination of normal neurophysiological signals by pathological waveforms related to epilepsy. We first discuss the nature of IED hazards, and why they deserve the attention of neurophysiology researchers. We then describe four general strategies used when handling IEDs (manual identification, automated identification, manual-automated hybrids, and ignoring by leaving them in the data), and discuss their pros, cons, and contextual factors. Finally, we describe current practices of human neurophysiology researchers worldwide based on a cross-sectional literature review and a voluntary survey. We put these results in the context of the listed strategies and make suggestions on improving awareness and clarity of reporting to enrich both data quality and communication in the field.

Indexed as

data qualityepilepsyinterictal dischargesintracranial recordingssignal processing

Identifiers

PMID32194384
PMCPMC7062638
OpenAlexW3010073984

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.