Evidence map›Paper›PMID 20179943›Full record

ArticleJournal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology2010

Electrophysiological properties of isthmic neurons in frogs revealed by in vitro and in vivo studies.

Matthew S Caudill, Adam T Eggebrecht, Edward R Gruberg, Ralf Wessel

Abstract read
In one paragraph

Article in Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Response properties of visual neurons in the turtle nucleus isthmi.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2011
    Article
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

4 authors.

Matthew S CaudillDepartment of Physics, Washington University in St. Louis, St. Louis, MO 63130-4899, USA. mcaudill@physics.wustl.edu
Adam T Eggebrecht
Edward R Gruberg
Ralf Wessel

Funding

Cellular Mechanisms of Spatiotemporal ProcessingR01EY015678 · NEI · WASHINGTON UNIVERSITY · PI WESSEL, RALF · 2005 to 2008
$1.2M
NEURAL FEEDBACK MECHANISMS FOR VISUAL PROCESSINGR01EY018818 · NEI · WASHINGTON UNIVERSITY · PI WESSEL, RALF · 2009 to 2010
$760k
NEI NIH HHS EY 15678NEI NIH HHS EY 18818NEI NIH HHS R01 EY015678NEI NIH HHS R01 EY018818
6 · The paper itself

Abstract

The frog nucleus isthmi (parabigeminal nucleus in mammals) is a visually responsive, cholinergic and anatomically well-defined group of neurons in the midbrain. It shares reciprocal topographic projections with the ipsilateral optic tectum (superior colliculus in mammals) and strongly influences visual processing. Anatomical and biochemical information indicates the existence of distinct neural populations within the frog nucleus isthmi, which raises the question: are there electrophysiological distinctions between neurons that are putatively classified by their anatomical and biochemical properties? To address this question, we measured frog nucleus isthmi neuron cellular properties in vitro and visual response properties in vivo. No evidence for distinct electrophysiological classes of neurons was found. We thus conclude that, despite the anatomical and biochemical differences, the cells of the frog nucleus isthmi respond homogeneously to both current injections and simple visual stimuli.

Indexed as

AnimalsElectrophysiological PhenomenaPatch-Clamp TechniquesPhotic StimulationRana pipiensSensory Receptor CellsSynaptic TransmissionVisual Pathways

Identifiers

PMID20179943
PMCPMC2860605

What OpenQuestion holds

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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.