Evidence map›Paper›PMID 42228692›Full record

ArticlePloS one2026

Integrated hierarchical surface restructuring of assembled electrode arrays for next-generation neural interfaces.

Alexander Blagojevic, Wesley Roser, Wesley Seche, Pouya Tavousi, Sina Shahbazmohamadi, Shahram Amini

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Alexander BlagojevicDepartment of Biomedical Engineering, University of Connecticut, Storrs, Connecticut, United States of America.ORCID https://orcid.org/0009-0004-9081-5381
Wesley RoserDepartment of Biomedical Engineering, University of Connecticut, Storrs, Connecticut, United States of America.
Wesley SechePulse Technologies Inc. (An Integer Holdings Company), Research and Development, Quakertown, Pennsylvania, United States of America.
Pouya TavousiDepartment of Biomedical Engineering, University of Connecticut, Storrs, Connecticut, United States of America.
Sina ShahbazmohamadiDepartment of Biomedical Engineering, University of Connecticut, Storrs, Connecticut, United States of America.
Shahram AminiDepartment of Biomedical Engineering, University of Connecticut, Storrs, Connecticut, United States of America.ORCID https://orcid.org/0000-0002-3363-5884

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neurostimulation devices rely on electrode arrays to deliver targeted electrical stimulation for modulating nerve activity. Enhancing stimulation specificity, device battery and energy efficiency, and device miniaturization requires low-profile electrodes with exceptional electrochemical performance. Hierarchical Surface Restructuring (HSR™), a femtosecond laser-based electrode surface treatment technology, enables these improvements by significantly increasing the electrochemically active surface area of the electrode contacts through the formation of highly textured, multi-scale architectures. Although HSR™ offers substantial potential to enable both high-performance electrodes and further miniaturization of electrode arrays, its broader adoption in medical device manufacturing has been limited by cost considerations and the inherent complexities of integrating new surface modification steps into established production workflows. This study investigates the feasibility of applying HSR™ technology to commercially available Pt-10Ir paddle-type electrode arrays and, for the first time, demonstrates that HSR™ can be implemented as a stand-alone, post-fabrication surface modification process that is compatible with existing device geometries and material constraints. This advancement represents a significant step toward broader adoption of HSR™ by medical device manufacturers and demonstrates its overall manufacturing viability. The process developed in this study circumvents key barriers to industrial implementation by enabling HSR™ to be seamlessly integrated into existing production lines as a post-fabrication surface modification step, thereby eliminating the need for major or costly process changes. The morphology, electrochemical performance, and processing efficiency of the restructured electrodes were systematically characterized. HSR™ enhanced key electrochemical metrics-including charge storage capacity, specific capacitance, and impedance-by up to two orders of magnitude, while maintaining short processing times and full compatibility with the device's geometry and constituent materials. These findings demonstrate the potential for HSR™ to be seamlessly integrated into existing manufacturing workflows as a post-fabrication step, providing a scalable and cost-effective approach for enhancing the electrochemical performance of neurostimulation electrode arrays. Furthermore, in-operando CO2-snow-assisted processing was shown to be equally compatible with established production lines, improving electrode stability and surface cleanliness without necessitating any upstream process modifications.

Indexed as

Electric StimulationImplantable NeurostimulatorsElectrodesEquipment DesignSurface Properties

Identifiers

PMID42228692
PMCPMC13229339

What OpenQuestion holds

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LicenceCC BY
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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.