Evidence map›Paper›PMID 29667119›Full record

ArticleMedical & biological engineering & computing2018

A novel neural electrode with micro-motion-attenuation capability based on compliant mechanisms-physical design concepts and evaluations.

Wenguang Zhang, Jiaqi Tang, Zhengwei Li, Yakun Ma

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Article in Medical & biological engineering & computing, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 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

4 authors.

Wenguang ZhangSchool of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China. zhwg@sjtu.edu.cn.
Jiaqi TangSchool of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China.
Zhengwei LiSchool of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China.
Yakun MaSchool of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China.

Funding

National Natural Science Foundation of China 51675330
6 · The paper itself

Abstract

In order to solve the problem of the short lifespan of the neural electrode caused by micro motion, this study designed a novel neural electrode based on lumped compliance compliant mechanism to control different modes of micro-motion in a more effective way. According to the mathematical modeling of the novel neural electrode, the equivalent bending stiffness and equivalent tensile (compression) stiffness were calculated. The results of the finite element analysis based on the mathematical modeling revealed that the novel neural electrode showed excellent micro-motion-attenuation capability. The static analysis results showed that the novel design dramatically reduced the maximum displacement of the brain in 51% and the maximum stress in 41% under longitudinal micro-motion environment. It also effectively reduced the 5.1% maximum stress while maintaining the maximum displacement under lateral micro-motion environment. The experimental results based on the tissue injury evaluation system also confirmed that the novel electrode is more effective in micro-motion attenuation than the reference one. In detail, the strain of the brain tissue caused by the implantation of the neural electrode was decreased by 1.26 to 27.84% at the insertion depth of 3 mm, and 0.522 to 17.24% at the insertion depth of 4.5 mm, which has convinced the effectiveness of the design. Graphical abstract The schematic of the novel neural electrode and evaluationsystem of tissue injury.

Indexed as

Electrodes, ImplantedMotionBrainComputer SimulationFinite Element AnalysisImaging, Three-DimensionalNeuronsSiliconStress, MechanicalSiliconCompliant mechanismEvaluation experimentFinite element method (FEM)Micro-motionModeling and simulationNeural electrode abutment

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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.