Evidence map›Paper›PMID 35322352›Full record

ArticleNeurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics2022

Seed-Based Connectivity Prediction of Initial Outcome of Subthalamic Nuclei Deep Brain Stimulation.

Yingchuan Chen, Guanyu Zhu, Defeng Liu, Yuye Liu, Xin Zhang, Tingting Du, Jianguo Zhang

Abstract read
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In one paragraph

Article in Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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.

Yingchuan ChenDepartment of Neurosurgery, Fengtai Dist, Beijing Tiantan Hospital, Capital Medical University, South Four Ring West Road No. 119, B district, Beijing, 100070, China.
Guanyu ZhuDepartment of Neurosurgery, Fengtai Dist, Beijing Tiantan Hospital, Capital Medical University, South Four Ring West Road No. 119, B district, Beijing, 100070, China.
Defeng LiuDepartment of Neurosurgery, Fengtai Dist, Beijing Tiantan Hospital, Capital Medical University, South Four Ring West Road No. 119, B district, Beijing, 100070, China.
Yuye LiuDepartment of Neurosurgery, Fengtai Dist, Beijing Tiantan Hospital, Capital Medical University, South Four Ring West Road No. 119, B district, Beijing, 100070, China.
Xin ZhangDepartment of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, Beijing, 100070, China.
Tingting DuDepartment of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, Beijing, 100070, China. dt1098_good@126.com.
Jianguo ZhangDepartment of Neurosurgery, Fengtai Dist, Beijing Tiantan Hospital, Capital Medical University, South Four Ring West Road No. 119, B district, Beijing, 100070, China. jg.zhang@ccmu.edu.cn.ORCID 0000-0002-0009-0574

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Subthalamic nuclei deep brain stimulation (STN-DBS) is a well-established treatment for Parkinson's disease (PD). Some studies have confirmed the long-term efficacy is associated with brain connectivity; however, whether the initial outcome is associated with brain connectivity and efficacy of prediction based on these factors has not been well investigated. In the present study, a total of 98 patients were divided into a training set (n = 78) and a test set (n = 20). The stimulation and medication responses were calculated based on the motor performance. The functional and structural connectomes were established based on a public database and used to measure the association between stimulation response and brain connectivity. The prediction of initial outcome was achieved via a machine learning algorithm-support vector machine based on the model established with the training set. It was found that the initial outcome of STN-DBS was associated with functional/structural connectivities between the volume of tissue activated and multiple brain regions, including the supplementary motor area, precentral and frontal areas, cingulum, temporal cortex, and striatum. These factors could be used to predict the initial outcome, with an r value of 0.4978 (P = 0.0255). Our study demonstrates a correlation between a specific connectivity pattern and initial outcome of STN-DBS, which could be used to predict the initial outcome of DBS.

Indexed as

Deep Brain StimulationMotor CortexParkinson DiseaseSubthalamic NucleusHumansNerve NetTreatment OutcomeBrain connectivityDeep brain stimulationParkinson’s diseasePredictionSubthalamic nuclei

Identifiers

PMID35322352
PMCPMC9226252

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.