Evidence map›Paper›PMID 42846320›Full record

ReviewFrontiers in neuroscience2026

Endovascular approaches to neural interfacing: lessons from cardiovascular technologies.

Leire Landeira-Suquia, Aaron Lee, Estelle A Cuttaz, Josef Goding, Sam E John, Rylie A Green

Abstract readReview
In one paragraph

Review in Frontiers in neuroscience, 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.

Leire Landeira-SuquiaDepartment of Bioengineering, Imperial College London, London, United Kingdom.
Aaron LeeDepartment of Bioengineering, Imperial College London, London, United Kingdom.
Estelle A CuttazDepartment of Bioengineering, Imperial College London, London, United Kingdom.
Josef GodingDepartment of Bioengineering, Imperial College London, London, United Kingdom.
Sam E JohnDepartment of Biomedical Engineering, The University of Melbourne, Parkville, VIC, Australia.
Rylie A GreenDepartment of Bioengineering, Imperial College London, London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Endovascular neural interfaces (ENIs) have emerged as a minimally invasive alternative to traditional neural interfaces. These devices are implanted within blood vessels adjacent to neural tissue to record or stimulate neural activity across the vessel wall. This enables minimally invasive implantation through angiographic procedures and reduces the risk of neural tissue damage. As they are deployed in the intravascular space, ENIs have a similar technological evolution to cardiovascular devices and share many features and constraints. First-generation ENIs borrowed guide wires and catheters employed in cardiovascular procedures for endovascular neural recording but were limited to acute settings. Concurrently, the cardiovascular field explored the possibility of integrating electronics onto endovascular devices. Catheters have been used for endovascular stimulation as a treatment for cardiovascular conditions. Cardiovascular stents have been integrated with wireless sensors, enabling self-reporting stents to monitor implant health. In 2016, a breakthrough in the field of ENIs was achieved by leveraging the chronic stability of stents to support an electrode array. Exemplified by Synchron's Stentrode™, stent electrode arrays have been successfully employed as a brain-computer interface for chronic motor cortex recording. Subsequent research in the field has focused on expanding applications and improving spatial resolution. Incorporating valuable lessons from the field of interventional cardiology will be key to accelerate ENI development, especially in the areas of device miniaturisation, enhancement of stimulation capabilities, and wireless communication. Addressing these limitations could revolutionise the treatment of neurological disorders, enabling high spatial resolution recording and stimulation possible through minimally invasive, accessible procedures.

Indexed as

bioelectronicsendovascular electronicsendovascular neural interfacesneural interfacesstent-electrode array

Identifiers

PMID42846320
PMCPMC13643711

What OpenQuestion holds

Textmetadata
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.