Evidence map›Paper›PMID 38848714›Full record

ArticleCell reports methods2024

ElecFeX is a user-friendly toolbox for efficient feature extraction from single-cell electrophysiological recordings.

Xinyue Ma, Loïs S Miraucourt, Haoyi Qiu, Mengyi Xu, Erik P Cook, Arjun Krishnaswamy, Reza Sharif-Naeini, Anmar Khadra

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cell reports methods, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Article
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

8 authors.

Xinyue MaIntegrated Program in Neuroscience, McGill University, Montreal, QC H3G 1Y6, Canada.
Loïs S MiraucourtAlan Edwards Center for Research on Pain, McGill University, Montreal, QC H3G 1Y6, Canada; Department of Physiology, McGill University, Montreal, QC H3G 1Y6, Canada.
Haoyi QiuAlan Edwards Center for Research on Pain, McGill University, Montreal, QC H3G 1Y6, Canada; Department of Physiology, McGill University, Montreal, QC H3G 1Y6, Canada.
Mengyi XuAlan Edwards Center for Research on Pain, McGill University, Montreal, QC H3G 1Y6, Canada; Department of Physiology, McGill University, Montreal, QC H3G 1Y6, Canada.
Erik P CookIntegrated Program in Neuroscience, McGill University, Montreal, QC H3G 1Y6, Canada; Department of Physiology, McGill University, Montreal, QC H3G 1Y6, Canada; Department of Quantitative Life Sciences, McGill University, Montreal, QC H3G 1Y6, Canada.
Arjun KrishnaswamyIntegrated Program in Neuroscience, McGill University, Montreal, QC H3G 1Y6, Canada; Department of Physiology, McGill University, Montreal, QC H3G 1Y6, Canada; Department of Quantitative Life Sciences, McGill University, Montreal, QC H3G 1Y6, Canada.
Reza Sharif-NaeiniAlan Edwards Center for Research on Pain, McGill University, Montreal, QC H3G 1Y6, Canada; Department of Physiology, McGill University, Montreal, QC H3G 1Y6, Canada. Electronic address: reza.sharif@mcgill.ca.
Anmar KhadraIntegrated Program in Neuroscience, McGill University, Montreal, QC H3G 1Y6, Canada; Department of Physiology, McGill University, Montreal, QC H3G 1Y6, Canada; Department of Quantitative Life Sciences, McGill University, Montreal, QC H3G 1Y6, Canada. Electronic address: anmar.khadra@mcgill.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Characterizing neurons by their electrophysiological phenotypes is essential for understanding the neural basis of behavioral and cognitive functions. Technological developments have enabled the collection of hundreds of neural recordings; this calls for new tools capable of performing feature extraction efficiently. To address the urgent need for a powerful and accessible tool, we developed ElecFeX, an open-source MATLAB-based toolbox that (1) has an intuitive graphical user interface, (2) provides customizable measurements for a wide range of electrophysiological features, (3) processes large-size datasets effortlessly via batch analysis, and (4) yields formatted output for further analysis. We implemented ElecFeX on a diverse set of neural recordings; demonstrated its functionality, versatility, and efficiency in capturing electrical features; and established its significance in distinguishing neuronal subgroups across brain regions and species. ElecFeX is thus presented as a user-friendly toolbox to benefit the neuroscience community by minimizing the time required for extracting features from their electrophysiological datasets.

Indexed as

Electrophysiological PhenomenaSingle-Cell AnalysisSoftwareAnimalsBrainHumansMiceNeuronsRatsCP: Neurosciencecurrent-clamp recordingsdatasetelectrophysiological feature extractiongraphical user interfaceMATLABopen sourcesingle-cell electrophysiologyspike detectionspike propertiestoolbox

Identifiers

PMID38848714
PMCPMC11228277

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.