Evidence map›Paper›PMID 25834105›Full record

ArticleJournal of neural engineering2015

Compliant intracortical implants reduce strains and strain rates in brain tissue in vivo.

Arati Sridharan, Jessica K Nguyen, Jeffrey R Capadona, Jit Muthuswamy

Open access · greenAbstract read
In one paragraph

Article in Journal of neural engineering, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

53 citing papers in PubMed, 106 citations in OpenAlex.

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  16. Advances in Spinal Cord Stimulation.Bioengineering (Basel, Switzerland) · 2023
    Review
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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 at 3 institutions in 1 country.

Arati SridharanSchool of Biological & Health Systems Engineering, Ira A. Fulton School of Engineering, Arizona State University, Tempe, AZ 85287, USA.
Jessica K Nguyen
Jeffrey R Capadona
Jit Muthuswamy
Arizona State University · USCase Western Reserve University · USLouis Stokes Cleveland VA Medical Center · US

Funding

Integrated Neural Engineering and Rehabilitation Training ProgramT32EB004314 · NIBIB · CASE WESTERN RESERVE UNIVERSITY · PI Jeffrey R Capadona, Robert F. Kirsch · 2004 to 2026
$6.1M
Single neuronal recordings using movable mircroprobesR01NS055312 · NINDS · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI MUTHUSWAMY, JITENDRAN · 2007 to 2010
$1.7M
Novel Bioactive Coatings for Chronically Implanted MEMS based Moveable MicroelectF32NS073422 · NINDS · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI SRIDHARAN, ARATI · 2011 to 2013
$156k
NIBIB NIH HHS 5T32EB004314-14NIBIB NIH HHS T32 EB004314NINDS NIH HHS F32 NS073422NINDS NIH HHS F32 NS073422-02NINDS NIH HHS R01 NS055312NINDS NIH HHS R01NS055312-S1
6 · The paper itself

Abstract

objectiveThe objective of this research is to characterize the mechanical interactions of (1) soft, compliant and (2) non-compliant implants with the surrounding brain tissue in a rodent brain. Understanding such interactions will enable the engineering of novel materials that will improve stability and reliability of brain implants. APPROACH: Acute force measurements were made using a load cell in n = 3 live rats, each with 4 craniotomies. Using an indentation method, brain tissue was tested for changes in force using established protocols. A total of 4 non-compliant, bare silicon microshanks, 3 non-compliant polyvinyl acetate (PVAc)-coated silicon microshanks, and 6 compliant, nanocomposite microshanks were tested. Stress values were calculated by dividing the force by surface area and strain was estimated using a linear stress-strain relationship. Micromotion effects from breathing and vascular pulsatility on tissue stress were estimated from a 5 s interval of steady-state measurements. Viscoelastic properties were estimated using a second-order Prony series expansion of stress-displacement curves for each shank. MAIN

resultsThe distribution of strain values imposed on brain tissue for both compliant nanocomposite microshanks and PVAc-coated, non-compliant silicon microshanks were significantly lower compared to non-compliant bare silicon shanks. Interestingly, step-indentation experiments also showed that compliant, nanocomposite materials significantly decreased stress relaxation rates in the brain tissue at the interface (p < 0.05) compared to non-compliant silicon and PVAc-coated silicon materials. Furthermore, both PVAc-coated non-compliant silicon and compliant nanocomposite shanks showed significantly reduced (by 4-5 fold) stresses due to tissue micromotion at the interface. SIGNIFICANCE: The results of this study showed that soft, adaptive materials reduce strains and strain rates and micromotion induced stresses in the surrounding brain tissue. Understanding the material behavior at the site of tissue contact will help to improve neural implant design.

Indexed as

Electrodes, ImplantedMicroelectrodesAnimalsBrainElastic ModulusEquipment Failure AnalysisFrictionHardnessProsthesis DesignProsthesis ImplantationRatsRats, Sprague-DawleyShear StrengthStress, MechanicalViscosity

Identifiers

PMID25834105
PMCPMC4460006
OpenAlexW2007743066

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.