Evidence map›Paper›PMID 29297466›Full record

ArticleeLife2018

Multi-neuron intracellular recording in vivo via interacting autopatching robots.

Suhasa B Kodandaramaiah, Francisco J Flores, Gregory L Holst, Annabelle C Singer, Xue Han, Emery N Brown, Edward S Boyden, Craig R Forest

Abstract read
In one paragraph

Article in eLife, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

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  11. Review
  12. Bringing Anatomical Information into Neuronal Network Models.Advances in experimental medicine and biology · 2022
    Article
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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.

Suhasa B Kodandaramaiah *Media Lab, Massachusetts Institute of Technology, Cambridge, United States.ORCID http://orcid.org/0000-0002-7767-2644
Francisco J Flores *Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, United States.ORCID http://orcid.org/0000-0002-8974-9717
Gregory L HolstG.W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, United States.
Annabelle C SingerMedia Lab, Massachusetts Institute of Technology, Cambridge, United States.
Xue HanDepartment of Biomedical Engineering, Boston University, Boston, United States.ORCID http://orcid.org/0000-0003-3896-4609
Emery N BrownDepartment of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, United States.
Edward S Boyden *Media Lab, Massachusetts Institute of Technology, Cambridge, United States.
Craig R Forest *G.W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, United States.ORCID http://orcid.org/0000-0001-5343-1769

Funding

Redesigning General Anesthesia (Admin Supp)R01GM104948 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI BOYDEN, EDWARD S., BROWN, EMERY N · 2012 to 2016
$4.4M
High-throughput robotic analysis of integrated neuronal phenotypesR01EY023173 · NEI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI BOYDEN, EDWARD S., FOREST, CRAIG · 2012 to 2016
$4.3M
Scalable Cell- and Circuit-Targeted ElectrophysiologyR01NS102727 · NINDS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI BOYDEN, EDWARD S., FOREST, CRAIG · 2017 to 2020
$2.2M
In-vivo circuit activity measurement at single cell, sub-threshold resolutionU01MH106027 · NIMH · GEORGIA INSTITUTE OF TECHNOLOGY · PI FOREST, CRAIG, STANLEY, GARRETT B. · 2014 to 2016
$1.5M
Supplement: Robotic Platform for High-Densisty in Vivo Intracellular recordingR21NS103098 · NINDS · UNIVERSITY OF MINNESOTA · PI HARNETT, MARK THOMAS, KODANDARAMAIAH, SUHASA B · 2017 to 2018
$483k
NEI NIH HHS R01 EY023173NIGMS NIH HHS P01-GM118620NIGMS NIH HHS R01 GM104948NIGMS NIH HHS R01-GM104948NIMH NIH HHS U01 MH106027NINDS NIH HHS 1R21NS103098-01NINDS NIH HHS R01 NS102727NINDS NIH HHS R21 NS103098
6 · The paper itself

Abstract

The activities of groups of neurons in a circuit or brain region are important for neuronal computations that contribute to behaviors and disease states. Traditional extracellular recordings have been powerful and scalable, but much less is known about the intracellular processes that lead to spiking activity. We present a robotic system, the multipatcher, capable of automatically obtaining blind whole-cell patch clamp recordings from multiple neurons simultaneously. The multipatcher significantly extends automated patch clamping, or 'autopatching', to guide four interacting electrodes in a coordinated fashion, avoiding mechanical coupling in the brain. We demonstrate its performance in the cortex of anesthetized and awake mice. A multipatcher with four electrodes took an average of 10 min to obtain dual or triple recordings in 29% of trials in anesthetized mice, and in 18% of the trials in awake mice, thus illustrating practical yield and throughput to obtain multiple, simultaneous whole-cell recordings in vivo.

Indexed as

Action PotentialsAnesthesiaAnimalsAutomation, LaboratoryCerebral CortexMiceNeuronsPatch-Clamp TechniquesRoboticsWakefulnessAutomationIn vivomouseneurosciencepatch clamping

Identifiers

PMID29297466
PMCPMC5812718

What OpenQuestion holds

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LicenceCC BY
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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.