Evidence map›Paper›PMID 35149118›Full record

ReviewExperimental neurology2022

Current approaches to characterize micro- and macroscale circuit mechanisms of Parkinson's disease in rodent models.

Yangfan Peng, Nina Schöneberg, Maria Soledad Esposito, Jörg R P Geiger, Andrew Sharott, Philip Tovote

Abstract readReview
In one paragraph

Review in Experimental neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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.

Yangfan PengInstitute of Neurophysiology, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117 Berlin, Germany; Department of Neurology, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117 Berlin, Germany; Medical Research Council Brain Network Dynamics Unit, Nuffield Department of Clinical Neurosciences, University of Oxford, Mansfield Road, Oxford OX13TH, United Kingdom. Electronic address: yangfan.peng@ndcn.ox.ac.uk.
Nina SchönebergInstitute of Clinical Neurobiology, University Hospital Würzburg, Versbacher Str. 5, 97078 Würzburg, Germany.
Maria Soledad EspositoMedical Physics Department, Centro Atomico Bariloche, Comision Nacional de Energia Atomica (CNEA), Consejo Nacional de Investigaciones Cientificas y Tecnicas (CONICET), Av. E. Bustillo 9500, R8402AGP San Carlos de Bariloche, Rio Negro, Argentina.
Jörg R P GeigerInstitute of Neurophysiology, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117 Berlin, Germany.
Andrew SharottMedical Research Council Brain Network Dynamics Unit, Nuffield Department of Clinical Neurosciences, University of Oxford, Mansfield Road, Oxford OX13TH, United Kingdom.
Philip TovoteInstitute of Clinical Neurobiology, University Hospital Würzburg, Versbacher Str. 5, 97078 Würzburg, Germany; Center for Mental Health, University of Würzburg, Margarete-Höppel-Platz 1, 97080 Würzburg, Germany. Electronic address: tovote_p@ukw.de.

Funding

Medical Research Council MC_UU_00003/6
6 · The paper itself

Abstract

Accelerating technological progress in experimental neuroscience is increasing the scale as well as specificity of both observational and perturbational approaches to study circuit physiology. While these techniques have also been used to study disease mechanisms, a wider adoption of these approaches in the field of experimental neurology would greatly facilitate our understanding of neurological dysfunctions and their potential treatments at cellular and circuit level. In this review, we will introduce classic and novel methods ranging from single-cell electrophysiological recordings to state-of-the-art calcium imaging and cell-type specific optogenetic or chemogenetic stimulation. We will focus on their application in rodent models of Parkinson's disease while also presenting their use in the context of motor control and basal ganglia function. By highlighting the scope and limitations of each method, we will discuss how they can be used to study pathophysiological mechanisms at local and global circuit levels and how novel frameworks can help to bridge these scales.

Indexed as

Deep Brain StimulationNeurologyParkinson DiseaseAnimalsBasal GangliaOptogeneticsRodentiaBasal gangliaBrainstemCalcium imagingCircuitCircuitopathyDBSMotorOptogeneticsPatch-clampSilicon probe

Identifiers

PMID35149118
PMCPMC7612860

What OpenQuestion holds

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LicenceCC BY
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.