Evidence map›Paper›PMID 19228559›Full record

ArticleIEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society2009

Causes of transient instabilities in the dynamic clamp.

Amanda J Preyer, Robert J Butera

Open access · greenAbstract read
In one paragraph

Article in IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 31% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Single electrode dynamic clamp with StdpC.Journal of neuroscience methods · 2012
    Article
  5. Dynamic clamp with StdpC software.Nature protocols · 2011
    Article
  6. Dynamic clamp: alteration of response properties and creation of virtual realities in neurophysiology.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2010
    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

2 authors at 1 institution in 1 country.

Amanda J PreyerGeorgia Institute of Technology, Atlanta, GA 30332, USA.
Robert J Butera
Georgia Institute of Technology · US

Funding

Synchronization in Noisy, Heterogeneous Excitatory/Inhibitory NetworksR01NS054281 · NINDS · LSU HEALTH SCIENCES CENTER · PI CANAVIER, CARMEN CASTRO · 2005 to 2022
$5.4M
Real-Time Control System for Biological ExperimentsR01RR020115 · NCRR · WEILL MEDICAL COLL OF CORNELL UNIV · PI CHRISTINI, DAVID J. · 2004 to 2011
$3.9M
NCRR NIH HHS R01 RR020115NCRR NIH HHS R01-RR20115NINDS NIH HHS R01 NS054281NINDS NIH HHS R01-NS054281
6 · The paper itself

Abstract

The dynamic clamp is a widely used method for integrating mathematical models with electrophysiological experiments. This method involves measuring the membrane voltage of a cell, using it to solve computational models of ion channel dynamics in real-time, and injecting the calculated current(s) back into the cell. Limitations of this technique include those associated with single electrode current clamping and the sampling effects caused by the dynamic clamp. In this study, we show that the combination of these limitations causes transient instabilities under certain conditions. Through physical experiments and simulations, we show that dynamic clamp instability is directly related to the sampling delay and the maximum simulated conductance being injected. It is exaggerated by insufficient electrode series resistance and capacitance compensation. Increasing the sampling rate of the dynamic clamp system increases dynamic clamp stability; however, this improvement, is constrained by how well the electrode series resistance and capacitance are compensated. At present, dynamic clamp sampling rates are justified solely on the temporal dynamics of the models being simulated; here we show that faster rates increase the stable range of operation for the dynamic clamp system. In addition, we show that commonly accepted levels of resistance compensation nevertheless significantly compromise the stability of a dynamic clamp system.

Indexed as

Models, StatisticalAction PotentialsAnimalsAplysiaComputer SimulationElectrophysiologyGanglia, InvertebrateMembrane PotentialsMicroelectrodesNervous System Physiological PhenomenaNeural ConductionNeuronsPatch-Clamp TechniquesVertebrates

Identifiers

PMID19228559
PMCPMC2748832
OpenAlexW2155958918

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.