Evidence map›Paper›PMID 40254187›Full record

ArticleJournal of neuroscience methods2025

Chronic recording of brain activity in awake toads.

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

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Article in Journal of neuroscience methods, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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. Electronic address: d.a.shaykevich@gmail.com.
Grace A WoodsDepartment of Applied Physics, Stanford University, Stanford, CA, USA; Wu Tsai Institute for Neuroscience, Stanford University, Stanford CA, USA.
Lauren A O'ConnellDepartment of Biology, Stanford University, Stanford, CA, USA; Wu Tsai Institute for Neuroscience, Stanford University, Stanford CA, USA.
Guosong HongWu Tsai Institute for Neuroscience, Stanford University, Stanford CA, USA; Department of Material Science and Engineering, Stanford University, Stanford, CA, USA.

Funding

Mesh electronics for understanding space encoding in the amphibian brainR34NS127103 · NINDS · STANFORD UNIVERSITY · PI GIOCOMO, LISA, HONG, GUOSONG · 2022 to 2022
$653k
NINDS NIH HHS R34 NS127103
6 · The paper itself

Abstract

backgroundAmphibians 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

methodWe implanted flexible mesh electronics in the cane toad (Rhinella marina) and performed extracellular recordings in the telencephalon of anesthetized toads and awake toads over multiple days.

resultsThough we struggled with maintaining implants in all operated animals, we recorded brain activity over five consecutive days in 5 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

methodsTo 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.

conclusionsOptimizing flexible mesh electronics in amphibian species will allow for advanced studies of the neural basis of amphibian behaviors.

Indexed as

BrainElectrophysiologyWakefulnessAction PotentialsAnimalsBufo marinusElectrodes, ImplantedCane toadElectrophysiologyMesh electrodesNeural recordingRhinella marina

Identifiers

PMID40254187
PMCPMC13289586

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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.