Evidence map›Paper›PMID 39632788›Full record

ArticleMicrosystems & nanoengineering2024

Supra- and sub-threshold intracellular-like recording of 2D and 3D neuronal networks using nanopillar electrode arrays.

Shivani Shukla, Joshua L Schwartz, Callum Walsh, Wen Mai Wong, Vrund Patel, Yu-Peng Hsieh, Chichi Onwuasoanya, Shaoming Chen, Andreas Offenhäusser, Gert Cauwenberghs and 5 more

Abstract read
In one paragraph

Article in Microsystems & nanoengineering, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
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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

15 authors.

Shivani ShuklaShu Chien-Gene Lay Department of Bioengineering, University of California San Diego, La Jolla, CA, 92093, USA.
Joshua L SchwartzDepartment of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, 92093, USA.
Callum WalshMolecular Neurobiology Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, 92037, USA.
Wen Mai WongMolecular Neurobiology Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, 92037, USA.
Vrund PatelAiiso Yufeng Li Family Department of Chemical and Nano Engineering, University of California San Diego, La Jolla, CA, 92093, USA.ORCID http://orcid.org/0000-0003-1711-0487
Yu-Peng HsiehShu Chien-Gene Lay Department of Bioengineering, University of California San Diego, La Jolla, CA, 92093, USA.
Chichi OnwuasoanyaAiiso Yufeng Li Family Department of Chemical and Nano Engineering, University of California San Diego, La Jolla, CA, 92093, USA.
Shaoming ChenAiiso Yufeng Li Family Department of Chemical and Nano Engineering, University of California San Diego, La Jolla, CA, 92093, USA.
Andreas OffenhäusserInstitute of Biological Information Processing-Bioelectronics, IBI-3, Forschungszentrum Jülich, Jülich, 52428, Germany.ORCID http://orcid.org/0000-0001-6143-2702
Gert CauwenberghsShu Chien-Gene Lay Department of Bioengineering, University of California San Diego, La Jolla, CA, 92093, USA.
Francesca SantoroInstitute of Biological Information Processing-Bioelectronics, IBI-3, Forschungszentrum Jülich, Jülich, 52428, Germany.ORCID http://orcid.org/0000-0001-7323-9504
Alysson R MuotriDepartment of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, 92093, USA.
Gene W YeoDepartment of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, 92093, USA.
Sreekanth H ChalasaniMolecular Neurobiology Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, 92037, USA.ORCID http://orcid.org/0000-0003-2522-8338
Zeinab JahedShu Chien-Gene Lay Department of Bioengineering, University of California San Diego, La Jolla, CA, 92093, USA. Zjahed@ucsd.edu.ORCID http://orcid.org/0000-0002-0139-3219

Funding

Single-cell approaches to deconvolution of disease-associated signalsU19MH107367 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MUOTRI, ALYSSON R. · 2015 to 2019
$15.0M
Human Isogenic Organoid Models of Genetic Forms of Autism to Identify Convergent and Divergent Pathomechanisms in AutismR01MH131907 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Stefan Aigner, Eugene Wei-Ming Yeo · 2023 to 2026
$3.1M
Sonogenetic control of neurons in a large volume of the rodent brainR01NS115591 · NINDS · SALK INSTITUTE FOR BIOLOGICAL STUDIES · PI CHALASANI, SREEKANTH H. · 2020 to 2020
$2.6M
NIMH NIH HHS R01 MH131907NIMH NIH HHS U19 MH107367NINDS NIH HHS R01 NS115591United States Department of Defense | United States Air Force | AFMC | Air Force Office of Scientific Research (AF Office of Scientific Research) 311616-00001
6 · The paper itself

Abstract

The brain integrates activity across networks of interconnected neurons to generate behavioral outputs. Several physiological and imaging-based approaches have been previously used to monitor responses of individual neurons. While these techniques can identify cellular responses greater than the neuron's action potential threshold, less is known about the events that are smaller than this threshold or are localized to subcellular compartments. Here we use NEAs to obtain temporary intracellular access to neurons allowing us to record information-rich data that indicates action potentials, and sub-threshold electrical activity. We demonstrate these recordings from primary hippocampal neurons, induced pluripotent stem cell-derived (iPSC) neurons, and iPSC-derived brain organoids. Moreover, our results show that our arrays can record activity from subcellular compartments of the neuron. We suggest that these data might enable us to correlate activity changes in individual neurons with network behavior, a key goal of systems neuroscience.

Identifiers

PMID39632788
PMCPMC11618331

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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.