Evidence map›Paper›PMID 27920665›Full record

ArticleFrontiers in neuroscience2016

Multiple Single-Unit Long-Term Tracking on Organotypic Hippocampal Slices Using High-Density Microelectrode Arrays.

Wei Gong, Jure Senčar, Douglas J Bakkum, David Jäckel, Marie Engelene J Obien, Milos Radivojevic, Andreas R Hierlemann

Abstract read
In one paragraph

Article in Frontiers in neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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.

Wei GongBio Engineering Laboratory, Department of Biosystems Science and Engineering ETH Zürich, Basel, Switzerland.
Jure SenčarFaculty of Electrical Engineering, University of Ljubljana Ljubljana, Slovenia.
Douglas J BakkumBio Engineering Laboratory, Department of Biosystems Science and Engineering ETH Zürich, Basel, Switzerland.
David JäckelBio Engineering Laboratory, Department of Biosystems Science and Engineering ETH Zürich, Basel, Switzerland.
Marie Engelene J ObienBio Engineering Laboratory, Department of Biosystems Science and Engineering ETH Zürich, Basel, Switzerland.
Milos RadivojevicBio Engineering Laboratory, Department of Biosystems Science and Engineering ETH Zürich, Basel, Switzerland.
Andreas R HierlemannBio Engineering Laboratory, Department of Biosystems Science and Engineering ETH Zürich, Basel, Switzerland.

Funding

European Research Council 267351European Research Council 694829
6 · The paper itself

Abstract

A novel system to cultivate and record from organotypic brain slices directly on high-density microelectrode arrays (HD-MEA) was developed. This system allows for continuous recording of electrical activity of specific individual neurons at high spatial resolution while monitoring at the same time, neuronal network activity. For the first time, the electrical activity patterns of single neurons and the corresponding neuronal network in an organotypic hippocampal slice culture were studied during several consecutive weeks at daily intervals. An unsupervised iterative spike-sorting algorithm, based on PCA and k-means clustering, was developed to assign the activities to the single units. Spike-triggered average extracellular waveforms of an action potential recorded across neighboring electrodes, termed "footprints" of single-units were generated and tracked over weeks. The developed system offers the potential to study chronic impacts of drugs or genetic modifications on individual neurons in slice preparations over extended times.

Indexed as

HD-MEA recordinghippocampusneuron trackingnew deviceorganotypic slice

Identifiers

PMID27920665
PMCPMC5118563

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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.