Evidence map›Paper›PMID 37398164›Full record

ArticlebioRxiv : the preprint server for biology2023

Direct-print three-dimensional electrodes for large- scale, high-density, and customizable neural inter- faces.

Pingyu Wang, Eric G Wu, Hasan Uluşan, A J Phillips, Madeline Rose Hays, Alexandra Kling, Eric T Zhao, Sasidhar Madugula, Ramandeep S Vilkhu, Praful Krishna Vasireddy and 4 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. 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

5 · Who and what money

Authors and funding

14 authors.

Pingyu WangDepartment of Materials Science and Engineering, Stanford University.
Eric G WuDepartment of Electrical Engineering, Stanford University, Stanford University.
Hasan UluşanDepartment of Biosystems Science and Engineering in Basel, ETH Zürich.
A J PhillipsDepartment of Electrical Engineering, Stanford University, Stanford University.
Madeline Rose HaysDepartment of Bioengineering, Stanford University.
Alexandra KlingDepartment of Neurosurgery, Stanford University.
Eric T ZhaoDepartment of Chemical Engineering, Stanford University.
Sasidhar MadugulaSchool of Medicine, Stanford University, Stanford University.
Ramandeep S VilkhuDepartment of Electrical Engineering, Stanford University, Stanford University.
Praful Krishna VasireddyDepartment of Electrical Engineering, Stanford University, Stanford University.
Andreas Hier-LemannDepartment of Biosystems Science and Engineering in Basel, ETH Zürich.
Guosong HongDepartment of Materials Science and Engineering, Stanford University.
E J ChichilniskyDepartment of Neurosurgery, Stanford University.
Nicholas A MeloshDepartment of Materials Science and Engineering, Stanford University.

Funding

Bi-directional neural interface for probing parallel visual pathwaysR01EY032900 · NEI · STANFORD UNIVERSITY · PI CHICHILNISKY, EDUARDO, COGAN, STUART F · 2021 to 2024
$2.8M
NEI NIH HHS R01 EY032900
6 · The paper itself

Abstract

Silicon-based planar microelectronics is a powerful tool for scalably recording and modulating neural activity at high spatiotemporal resolution, but it remains challenging to target neural structures in three dimensions (3D). We present a method for directly fabricating 3D arrays of tissue-penetrating microelectrodes onto silicon microelectronics. Leveraging a high-resolution 3D printing technology based on 2-photon polymerization and scalable microfabrication processes, we fabricated arrays of 6,600 microelectrodes 10-130 μm tall and at 35-μm pitch onto a planar silicon-based microelectrode array. The process enables customizable electrode shape, height and positioning for precise targeting of neuron populations distributed in 3D. As a proof of concept, we addressed the challenge of specifically targeting retinal ganglion cell (RGC) somas when interfacing with the retina. The array was customized for insertion into the retina and recording from somas while avoiding the axon layer. We verified locations of the microelectrodes with confocal microscopy and recorded high-resolution spontaneous RGC activity at cellular resolution. This revealed strong somatic and dendritic components with little axon contribution, unlike recordings with planar microelectrode arrays. The technology could be a versatile solution for interfacing silicon microelectronics with neural structures and modulating neural activity at large scale with single-cell resolution.

Identifiers

PMID37398164
PMCPMC10312573

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.