Evidence map›Paper›PMID 34225815›Full record

ArticleChinese neurosurgical journal2021

Quantified assessment of deep brain stimulation on Parkinson's patients with task fNIRS measurements and functional connectivity analysis: a pilot study.

Ningbo Yu, Siquan Liang, Jiewei Lu, Zhilin Shu, Haitao Li, Yang Yu, Jialing Wu, Jianda Han

Open access · diamondAbstract read
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Article in Chinese neurosurgical journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.1field-weighted citation impact, top 21% 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

6 citing papers in PubMed, 11 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

8 authors at 2 institutions in 1 country.

Ningbo Yu *College of Artificial Intelligence, Nankai University, Tianjin, China.
Siquan LiangDepartment of Neurosurgery, Tianjin Huanhu Hospital, Tianjin, China.
Jiewei LuCollege of Artificial Intelligence, Nankai University, Tianjin, China.
Zhilin ShuCollege of Artificial Intelligence, Nankai University, Tianjin, China.
Haitao LiDepartment of Neurosurgery, Tianjin Huanhu Hospital, Tianjin, China.
Yang YuDepartment of Neurorehabilitation, Tianjin Huanhu Hospital, Tianjin, China.
Jialing WuDepartment of Neurorehabilitation, Tianjin Huanhu Hospital, Tianjin, China. wywjl2009@hotmail.com.
Jianda HanCollege of Artificial Intelligence, Nankai University, Tianjin, China. hanjianda@nankai.edu.cn.
Nankai University · CNTianjin Huanhu Hospital · CN

Funding

National Natural Science Foundation of China 61720106012National Natural Science Foundation of China 61873135National Natural Science Foundation of China U1913208
6 · The paper itself

Abstract

backgroundDeep brain stimulation (DBS) has proved effective for Parkinson's disease (PD), but the identification of stimulation parameters relies on doctors' subjective judgment on patient behavior.

methodsFive PD patients performed 10-meter walking tasks under different brain stimulation frequencies. During walking tests, a wearable functional near-infrared spectroscopy (fNIRS) system was used to measure the concentration change of oxygenated hemoglobin (△HbO

resultsWe discovered that both the global and regional brain efficiency of all patients varied with stimulation parameters, and the DBS pattern enabling the highest brain efficiency was optimal for each patient, in accordance with the clinical assessments and DBS treatment decision made by the doctors.

conclusionsTask fNIRS assessments and brain functional connectivity analysis promise a quantified and objective solution for patient-specific optimization of DBS treatment.

trial registrationName: Accurate treatment under the multidisciplinary cooperative diagnosis and treatment model of Parkinson's disease. Registration number is ChiCTR1900022715. Date of registration is April 23, 2019.

Indexed as

Brain efficiencyDeep brain stimulation programmingFunctional connectivityParkinson’s disease

Identifiers

PMID34225815
PMCPMC8256573
OpenAlexW3110838187

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.