Evidence map›Paper›PMID 30956724›Full record

ArticleCognitive neurodynamics2019

The beta oscillation conditions in a simplified basal ganglia network.

Bing Hu, Xiyezi Diao, Heng Guo, Shasha Deng, Yu Shi, Yuqi Deng, Liqing Zong

Abstract read
In one paragraph

Article in Cognitive neurodynamics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

7 authors.

Bing Hu1Department of Applied Mathematics, Zhejiang University of Technology, Hangzhou, 310023 China.
Xiyezi Diao3Department of Mathematics and Statistics, College of Science, Huazhong Agricultural University, Wuhan, 430070 China.
Heng Guo3Department of Mathematics and Statistics, College of Science, Huazhong Agricultural University, Wuhan, 430070 China.
Shasha Deng3Department of Mathematics and Statistics, College of Science, Huazhong Agricultural University, Wuhan, 430070 China.
Yu Shi3Department of Mathematics and Statistics, College of Science, Huazhong Agricultural University, Wuhan, 430070 China.
Yuqi Deng3Department of Mathematics and Statistics, College of Science, Huazhong Agricultural University, Wuhan, 430070 China.
Liqing Zong3Department of Mathematics and Statistics, College of Science, Huazhong Agricultural University, Wuhan, 430070 China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Parkinson's disease is a type of motor dysfunction disease that is induced mainly by abnormal interactions between the subthalamic nucleus (STN) and globus pallidus (GP) neurons. Periodic oscillatory activities with frequencies of 13-30 Hz are the main physiological characteristics of Parkinson's disease. In this paper, we built a class of STN-GP networks to explore beta oscillation conditions. A theoretical formula was obtained for generating oscillations without internal GP connections. Based on this formula, we studied the effects of cortex inputs, striatum inputs, coupling weights and delays on oscillation conditions, and the theoretical results are in good agreement with the numerical results. The onset mechanism can be explained by the model, and the internal GP connection has little effect on oscillations. Finally, we compared oscillation conditions with those in previous studies and found that the delays and coupling weights required for generating oscillations may decrease as the number of nuclei increases. We hope that the results obtained will inspire future theoretical and experimental studies.

Indexed as

Beta oscillation conditionsGlobus pallidusParkinson’s diseaseSubthalamic nucleus

Identifiers

PMID30956724
PMCPMC6426900

What OpenQuestion holds

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Registered trials

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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.