Evidence map›Paper›PMID 39463987›Full record

ArticlebioRxiv : the preprint server for biology2024

Chronic recording of brain activity in awake toads.

Daniel A Shaykevich, Grace A Woods, Lauren A O'Connell, Guosong Hong

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Daniel A ShaykevichDepartment of Biology, Stanford University, Stanford, CA, USA.ORCID 0000-0003-3850-0986
Grace A WoodsDepartment of Applied Physics, Stanford University, Stanford, CA, USA.
Lauren A O'ConnellDepartment of Biology, Stanford University, Stanford, CA, USA.ORCID 0000-0002-2706-4077
Guosong HongWu Tsai Institute for Neuroscience, Stanford University, Stanford CA, USA.ORCID 0000-0002-8858-4471

Funding

Supplement to Enhance Wellness and Resiliency in the Graduate EnvironmentT32GM007276 · NIGMS · STANFORD UNIVERSITY · PI MORRISON, ASHBY J. · 1985 to 2023
$32.9M
Mesh electronics for understanding space encoding in the amphibian brainR34NS127103 · NINDS · STANFORD UNIVERSITY · PI GIOCOMO, LISA, HONG, GUOSONG · 2022 to 2022
$653k
NIGMS NIH HHS T32 GM007276NINDS NIH HHS R34 NS127103
6 · The paper itself

Abstract

Background: Amphibians represent an important evolutionary transition from aquatic to terrestrial environments and they display a large variety of complex behaviors despite a relatively simple brain. However, their brain activity is not as well characterized as that of many other vertebrates, partially due to physiological traits that have made electrophysiology recordings difficult to perform in awake and moving animals. New method: We implanted flexible mesh electronics in the cane toad ( Results: We recorded brain activity over five consecutive days in awake toads and over a 15 week period in a toad that was anesthetized during recordings. We were able to perform spike sorting and identified single- and multi-unit activity in all toads. Comparison with existing methods: To our knowledge, this is the first report of a modern method to perform electrophysiology in non-paralyzed toads over multiple days, though there are historical references to short term recordings in the past. Conclusions: Implementing flexible mesh electronics in amphibian species will allow for advanced studies of the neural basis of amphibian behaviors.

Indexed as

cane toadelectrophysiologymesh electrodesneural recordingRhinella marina

Identifiers

PMID39463987
PMCPMC11507864

What OpenQuestion holds

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LicenceCC BY-NC
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.