Evidence map›Paper›PMID 39520988›Full record

ArticleCell reports methods2024

MEA-NAP: A flexible network analysis pipeline for neuronal 2D and 3D organoid multielectrode recordings.

Timothy P H Sit, Rachael C Feord, Alexander W E Dunn, Jeremi Chabros, David Oluigbo, Hugo H Smith, Lance Burn, Elise Chang, Alessio Boschi, Yin Yuan and 10 more

Abstract read
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 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors.

Timothy P H SitDepartment of Physiology, Development and Neuroscience, University of Cambridge, CB2 3DY Cambridge, UK; Queen Square Institute of Neurology, University College London, WC1N 3BG London, UK.
Rachael C FeordDepartment of Physiology, Development and Neuroscience, University of Cambridge, CB2 3DY Cambridge, UK.
Alexander W E DunnDepartment of Physiology, Development and Neuroscience, University of Cambridge, CB2 3DY Cambridge, UK.
Jeremi ChabrosDepartment of Physiology, Development and Neuroscience, University of Cambridge, CB2 3DY Cambridge, UK.
David OluigboDepartment of Neurology, Brigham & Women's Hospital, Boston, MA 02115, USA; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Hugo H SmithDepartment of Physiology, Development and Neuroscience, University of Cambridge, CB2 3DY Cambridge, UK.
Lance BurnDepartment of Physiology, Development and Neuroscience, University of Cambridge, CB2 3DY Cambridge, UK.
Elise ChangDepartment of Physiology, Development and Neuroscience, University of Cambridge, CB2 3DY Cambridge, UK.
Alessio BoschiDepartment of Neurology, Brigham & Women's Hospital, Boston, MA 02115, USA; Istituto Italiano di Tecnologia, 16163 Genoa, Italy.
Yin YuanDepartment of Physiology, Development and Neuroscience, University of Cambridge, CB2 3DY Cambridge, UK.
George M GibbonsDepartment of Physiology, Development and Neuroscience, University of Cambridge, CB2 3DY Cambridge, UK; John van Geest Centre for Brain Repair, Department of Clinical Neurosciences, University of Cambridge, CB2 0PY Cambridge, UK.
Mahsa Khayat-KhoeiDepartment of Neurology, Brigham & Women's Hospital, Boston, MA 02115, USA.
Francesco De AngelisIstituto Italiano di Tecnologia, 16163 Genoa, Italy.
Erik HembergComputer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Martin HembergGene Lay Institute for Immunology and Inflammation, Brigham and Women's Hospital, Boston, MA 02115, USA; Harvard Medical School, Boston, MA 02115, USA.
Madeline A LancasterMRC Laboratory for Molecular Biology, University of Cambridge, CB2 0QH Cambridge, UK.
Andras LakatosJohn van Geest Centre for Brain Repair, Department of Clinical Neurosciences, University of Cambridge, CB2 0PY Cambridge, UK; Cambridge University Hospitals, Cambridge Biomedical Campus, CB2 0QQ Cambridge, UK.
Stephen J EglenDepartment of Applied Mathematics and Theoretical Physics, University of Cambridge, CB3 0WA Cambridge, UK.
Ole PaulsenDepartment of Physiology, Development and Neuroscience, University of Cambridge, CB2 3DY Cambridge, UK.
Susanna B MierauDepartment of Physiology, Development and Neuroscience, University of Cambridge, CB2 3DY Cambridge, UK; Department of Neurology, Brigham & Women's Hospital, Boston, MA 02115, USA; Harvard Medical School, Boston, MA 02115, USA. Electronic address: smierau@bwh.harvard.edu.

Funding

RESTORING CORTICAL NETWORK FUNCTION IN RETT SYNDROMEK02NS131521 · NINDS · BRIGHAM AND WOMEN'S HOSPITAL · PI Susanna Mierau · 2024 to 2026
$773k
Medical Research Council MC_UP_1201/9NINDS NIH HHS K02 NS131521
6 · The paper itself

Abstract

Microelectrode array (MEA) recordings are commonly used to compare firing and burst rates in neuronal cultures. MEA recordings can also reveal microscale functional connectivity, topology, and network dynamics-patterns seen in brain networks across spatial scales. Network topology is frequently characterized in neuroimaging with graph theoretical metrics. However, few computational tools exist for analyzing microscale functional brain networks from MEA recordings. Here, we present a MATLAB MEA network analysis pipeline (MEA-NAP) for raw voltage time series acquired from single- or multi-well MEAs. Applications to 3D human cerebral organoids or 2D human-derived or murine cultures reveal differences in network development, including topology, node cartography, and dimensionality. MEA-NAP incorporates multi-unit template-based spike detection, probabilistic thresholding for determining significant functional connections, and normalization techniques for comparing networks. MEA-NAP can identify network-level effects of pharmacologic perturbation and/or disease-causing mutations and thus can provide a translational platform for revealing mechanistic insights and screening new therapeutic approaches. VIDEO ABSTRACT.

Indexed as

MicroelectrodesNeuronsOrganoidsAction PotentialsAnimalsBrainHumansMiceNerve NetCP: neurosciencedimensionality reductionfunctional connectivitygraph theoryhuman cerebral organoidsinduced pluripotent stem cell-derived neuronsmicroelectrode arraymulti-unit spike detectionnetwork dynamicsnetwork topologyneuronal culturesnode cartographyprobabilistic thresholdingspike time tiling coefficient

Identifiers

PMID39520988
PMCPMC11706071

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.