Evidence map›Paper›PMID 37533306›Full record

ArticleBrain and behavior2023

Improved control effect of pathological oscillations by using delayed feedback stimulation in neural mass model with pedunculopontine nucleus.

Yingpeng Liu, Rui Zhu, Ye Zhou, Jiali Lü, Yuan Chai

Abstract read
In one paragraph

Article in Brain and behavior, 2023. 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. Article
  2. 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

5 authors.

Yingpeng LiuSchool of Mathematics and Physics, Shanghai University of Electric Power, Shanghai, China.
Rui ZhuSchool of Mathematics and Physics, Shanghai University of Electric Power, Shanghai, China.
Ye ZhouSchool of Mathematics and Physics, Shanghai University of Electric Power, Shanghai, China.
Jiali LüSchool of Mathematics and Physics, Shanghai University of Electric Power, Shanghai, China.
Yuan ChaiSchool of Mathematics and Physics, Shanghai University of Electric Power, Shanghai, China.ORCID 0000-0001-9207-6421

Funding

National Natural Science Foundation of China 11502139National Natural Science Foundation of China 12172210
6 · The paper itself

Abstract

backgroundThe role of delayed feedback stimulation in the discussion of Parkinson's disease (PD) has recently received increasing attention. Stimulation of pedunculopontine nucleus (PPN) is an emerging treatment for PD. However, the effect of PPN in regulating PD is ignored, and the delayed feedback stimulation algorithm is facing some problems in parameter selection.

methodsOn the basis of a neural mass model, we established a new network for PPN. Four types of delayed feedback stimulation schemes were designed, such as stimulating subthalamic nucleus (STN) with the local field potentials (LFPs) of STN nucleus, globus pallidus (GPe) with the LFPs of Gpe nucleus, PPN with the LFPs of Gpe nucleus, and STN with the LFPs of PPN nucleus.

resultsIn this study, we found that all four kinds of delayed feedback schemes are effective, suggesting that the algorithm is simple and more effective in experiments. More specifically, the other three control schemes improved the control performance and reduced the stimulation energy expenditure compared with traditional stimulating STN itself only.

conclusionPPN stimulation can affect the new network and help to suppress pathological oscillations for each neuron. We hope that our results can gain an insight into the future clinical treatment.

Indexed as

Deep Brain StimulationModels, NeurologicalParkinson DiseasePedunculopontine Tegmental NucleusAlgorithmsGlobus PallidusHumansSubthalamic Nucleusdelayed feedback stimulationneural mass modelParkinson's diseasepedunculopontine nucleus

Identifiers

PMID37533306
PMCPMC10570496

What OpenQuestion holds

Textmetadata
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.