Evidence map›Paper›PMID 20427230›Full record

ReviewClinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology2010

Deciphering the contribution of intrinsic and synaptic currents to the effects of transient synaptic inputs on human motor unit discharge.

Randall K Powers, Kemal S Türker

Open access · greenAbstract readReview
In one paragraph

Review in Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.3field-weighted citation impact, top 20% of its field
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

10 citing papers in PubMed, 18 citations in OpenAlex.

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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

2 authors at 2 institutions in 2 countries.

Randall K PowersDepartment of Physiology and Biophysics, University of Washington, Seattle, WA 98195, USA. rkpowers@u.washington.edu
Kemal S Türker
Ege University · TRUniversity of Washington · US

Funding

Computer Models of Normal and Abnormal Discharge Patterns in Human MotoneuronsR01NS062200 · NINDS · UNIVERSITY OF WASHINGTON · PI POWERS, RANDALL K · 2009 to 2013
$2.4M
INPUT-OUTPUT BEHAVIOR OF REAL AND MODEL MOTONEURONSR01NS031925 · NINDS · UNIVERSITY OF WASHINGTON · PI POWERS, RANDALL K · 1994 to 2002
$640k
NINDS NIH HHS NS062200NINDS NIH HHS R01 NS031925NINDS NIH HHS R01 NS062200
6 · The paper itself

Abstract

The amplitude and time course of synaptic potentials in human motoneurons can be estimated in tonically discharging motor units by measuring stimulus-evoked changes in the rate and probability of motor unit action potentials. However, in spite of the fact that some of these techniques have been used for over 30 years, there is still no consensus on the best way to estimate the characteristics of synaptic potentials or on the accuracy of these estimates. In this review, we compare different techniques for estimating synaptic potentials from human motor unit discharge and also discuss relevant animal models in which estimated synaptic potentials can be compared to those directly measured from intracellular recordings. We also review the experimental evidence on how synaptic noise and intrinsic motoneuron properties influence their responses to synaptic inputs. Finally, we consider to what extent recordings of single motor unit discharge in humans can be used to distinguish the contribution of changes in synaptic inputs versus changes in intrinsic motoneuron properties to altered motoneuron responses following CNS injury.

Indexed as

Action PotentialsAnimalsElectric StimulationHumansMotor NeuronsMuscle ContractionMuscle, SkeletalSynapses

Identifiers

PMID20427230
PMCPMC2913158
OpenAlexW2046894301

What OpenQuestion holds

Textmetadata
LicenceTDM
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.