Evidence map›Paper›PMID 26740532›Full record

ArticleJournal of neurophysiology2016

Systems-level neurophysiological state characteristics for drug evaluation in an animal model of levodopa-induced dyskinesia.

Martin Tamtè, Ivani Brys, Ulrike Richter, Nedjeljka Ivica, Pär Halje, Per Petersson

Open access · greenAbstract read
In one paragraph

Article in Journal of neurophysiology, 2016. 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
2.2field-weighted citation impact, top 13% 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, 25 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Neurophysiological treatment effects of mesdopetam, pimavanserin and clozapine in a rodent model of Parkinson's disease psychosis.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2024
    Article
  5. Pathological cell assembly dynamics in a striatal MSN network model.Frontiers in computational neuroscience · 2024
    Article
  6. Distinctive Effects of D1 and D2 Receptor Agonists on Cortico-Basal Ganglia Oscillations in a Rodent Model of L-DOPA-Induced Dyskinesia.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2023
    Article
  7. Article
  8. Article
  9. On the neuronal circuitry mediating L-DOPA-induced dyskinesia.Journal of neural transmission (Vienna, Austria : 1996) · 2018
    Review
  10. 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

6 authors at 1 institution in 1 country.

Martin TamtèIntegrative Neurophysiology and Neurotechnology, Neuronano Research Center, Department of Experimental Medical Sciences, Lund University, Lund, Sweden.
Ivani BrysIntegrative Neurophysiology and Neurotechnology, Neuronano Research Center, Department of Experimental Medical Sciences, Lund University, Lund, Sweden.
Ulrike RichterIntegrative Neurophysiology and Neurotechnology, Neuronano Research Center, Department of Experimental Medical Sciences, Lund University, Lund, Sweden.
Nedjeljka IvicaIntegrative Neurophysiology and Neurotechnology, Neuronano Research Center, Department of Experimental Medical Sciences, Lund University, Lund, Sweden.
Pär HaljeIntegrative Neurophysiology and Neurotechnology, Neuronano Research Center, Department of Experimental Medical Sciences, Lund University, Lund, Sweden.
Per PeterssonIntegrative Neurophysiology and Neurotechnology, Neuronano Research Center, Department of Experimental Medical Sciences, Lund University, Lund, Sweden Per.Petersson@med.lu.se.
Lund University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Disorders affecting the central nervous system have proven particularly hard to treat, and disappointingly few novel therapies have reached the clinics in recent decades. A better understanding of the physiological processes in the brain underlying various symptoms could therefore greatly improve the rate of progress in this field. We here show how systems-level descriptions of different brain states reliably can be obtained through a newly developed method based on large-scale recordings in distributed neural networks encompassing several different brain structures. Using this technology, we characterize the neurophysiological states associated with parkinsonism and levodopa-induced dyskinesia in a rodent model of Parkinson's disease together with pharmacological interventions aimed at reducing dyskinetic symptoms. Our results show that the obtained electrophysiological data add significant information to conventional behavioral evaluations and hereby elucidate the underlying effects of treatments in greater detail. Taken together, these results potentially open up for studies of neurophysiological mechanisms underlying symptoms in a wide range of neurological and psychiatric conditions that until now have been very hard to investigate in animal models of disease.

Indexed as

AnimalsAntiparkinson AgentsBrain WavesDisease Models, AnimalDopaminergic NeuronsDrug Evaluation, PreclinicalDyskinesia, Drug-InducedElectroencephalographyFemaleLevodopaRatsRats, Sprague-DawleyAntiparkinson AgentsLevodopalevodopaParkinson's diseasesystems neurophysiology

Identifiers

PMID26740532
PMCPMC4809970
OpenAlexW2226635847

What OpenQuestion holds

Textmetadata
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.