Evidence map›Paper›PMID 31495645›Full record

ArticleNeuron2019

Can One Concurrently Record Electrical Spikes from Every Neuron in a Mammalian Brain?

David Kleinfeld, Lan Luan, Partha P Mitra, Jacob T Robinson, Rahul Sarpeshkar, Kenneth Shepard, Chong Xie, Timothy D Harris

Abstract read
In one paragraph

Article in Neuron, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Capturing the Electrical Activity of all Cortical Neurons: Are Solutions Within Reach?Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. 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

8 authors.

David KleinfeldSection of Neurobiology, University of California, San Diego, CA, USA; Department of Physics, University of California, San Diego, CA, USA. Electronic address: dk@physics.ucsd.edu.
Lan LuanDepartment of Biomedical Engineering, University of Texas, Austin, TX, USA.
Partha P MitraCold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA.
Jacob T RobinsonDepartment of Electrical and Computer Engineering, Rice University, Houston, TX, USA.
Rahul SarpeshkarDepartment of Engineering, Dartmouth, Hanover, NH, USA; Department of Microbiology and Immunology, Dartmouth, Hanover, NH, USA; Department of Molecular and Systems Biology, Dartmouth, Hanover, NH, USA; Department of Physics, Dartmouth, Hanover, NH, USA.
Kenneth ShepardDepartment of Electrical Engineering, Columbia University, New York, NY, USA.
Chong XieDepartment of Biomedical Engineering, University of Texas, Austin, TX, USA.
Timothy D HarrisHoward Hughes Medical Institutes, Janelia Research Campus, Ashburn, VA, USA; Department of Bioengineering, Johns Hopkins University, Baltimore, MD, USA. Electronic address: harrist@janelia.hhmi.org.

Funding

Theory and Modeling of the Orofacial Active SensationU19NS107466 · NINDS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KLEINFELD, DAVID · 2018 to 2022
$14.9M
Optimizing flexible, active electrode arrays for chronic, large-scale recording and stimulation on the scale of 100,000 electrodesU01NS099697 · NINDS · DUKE UNIVERSITY · PI BRAUN, PAUL, PESARAN, BIJAN · 2016 to 2018
$3.5M
Longitudinal multimodal mapping to decipher the neurovascular impact of microinfarctsR01NS109361 · NINDS · UNIVERSITY OF TEXAS AT AUSTIN · PI LUAN, LAN · 2019 to 2023
$2.9M
Wide Deployment of Massively Multiplexed Nanosystems for Brain Activity MappingU01NS099726 · NINDS · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI ROUKES, MICHAEL L, SHEPARD, KENNETH L · 2016 to 2018
$2.9M
Supplement request to: Revealing the connectivity and functionality of brain stem circuitsU01NS090595 · NINDS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DESCHENES, MARTIN, FREUND, YOAV SHAI · 2014 to 2016
$2.6M
Nanoelectronic enabled chronic quantification of neurovascular couplingK25HL140153 · NHLBI · UNIVERSITY OF TEXAS AT AUSTIN · PI LUAN, LAN · 2018 to 2022
$890k
Fluidic microdrives for minimally invasive actuation of flexible electrodesR21EY028397 · NEI · RICE UNIVERSITY · PI ROBINSON, JACOB T. · 2017 to 2018
$475k
NEI NIH HHS R21 EY028397NHLBI NIH HHS K25 HL140153NINDS NIH HHS R01 NS109361NINDS NIH HHS U01 NS090595NINDS NIH HHS U19 NS107466
6 · The paper itself

Abstract

The classic approach to measure the spiking response of neurons involves the use of metal electrodes to record extracellular potentials. Starting over 60 years ago with a single recording site, this technology now extends to ever larger numbers and densities of sites. We argue, based on the mechanical and electrical properties of existing materials, estimates of signal-to-noise ratios, assumptions regarding extracellular space in the brain, and estimates of heat generation by the electronic interface, that it should be possible to fabricate rigid electrodes to concurrently record from essentially every neuron in the cortical mantle. This will involve fabrication with existing yet nontraditional materials and procedures. We further emphasize the need to advance materials for improved flexible electrodes as an essential advance to record from neurons in brainstem and spinal cord in moving animals.

Indexed as

ElectrodesAction PotentialsAnimalsElectrocorticographyEquipment DesignExtracellular SpaceMammalsNeocortexNeuronsSignal-To-Noise RatioSingle-Cell Analysisaction potentialsconnectomicscortexelectrodesmultisite recordingneurocomputation

Identifiers

PMID31495645
PMCPMC6763354

What OpenQuestion holds

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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.