Evidence map›Paper›PMID 35049150›Full record

ArticleCNS neuroscience & therapeutics2022

Predict initial subthalamic nucleus stimulation outcome in Parkinson's disease with brain morphology.

Yingchuan Chen, Guanyu Zhu, Yuye Liu, Defeng Liu, Tianshuo Yuan, Xin Zhang, Yin Jiang, Tingting Du, Jianguo Zhang

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in CNS neuroscience & therapeutics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
2.6field-weighted citation impact, top 9% 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

18 citing papers in PubMed, 2 syntheses or guidelines pooled it, 21 citations in OpenAlex.

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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

9 authors at 1 institution in 1 country.

Yingchuan ChenDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Guanyu ZhuDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Yuye LiuDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Defeng LiuDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Tianshuo YuanDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Xin ZhangDepartment of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.
Yin JiangDepartment of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.
Tingting DuDepartment of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.
Jianguo ZhangDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.ORCID 0000-0002-2751-8462
Capital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimSubthalamic nucleus deep brain stimulation (STN-DBS) has been reported to be effective in treating motor symptoms in Parkinson's disease (PD), which may be attributed to changes in the brain network. However, the association between brain morphology and initial STN-DBS efficacy, as well as the performance of prediction using neuroimaging, has not been well illustrated. Therefore, we aim to investigate these issues.

methodsIn the present study, 94 PD patients underwent bilateral STN-DBS, and the initial stimulation efficacy was evaluated. Brain morphology was examined by magnetic resonance imaging (MRI). The volume of tissue activated in the motor STN was measured with MRI and computed tomography. The prediction of stimulation efficacy was achieved with a support vector machine, using brain morphology and other features, after feature selection and hyperparameter optimization.

resultsA higher stimulation efficacy was correlated with a thicker right precentral cortex. No association with subcortical gray or white matter volumes was observed. These morphological features could estimate the individual stimulation response with an r value of 0.5678, an R

conclusionOur results indicate that changes in morphology are associated with the initial stimulation motor response and could be used to predict individual initial stimulation-related motor responses.

Indexed as

Deep Brain StimulationParkinson DiseaseSubthalamic NucleusWhite MatterHumansMagnetic Resonance Imagingbrain morphologyefficacymachine learningsubthalamic nucleus deep brain stimulation

Identifiers

PMID35049150
PMCPMC8981473
OpenAlexW4205383439

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.