Evidence map›Paper›PMID 40124055›Full record

ArticleACS omega2025

A Highly Efficient Low-Cost Flexible Neural Probe for Scalable Mass Fabrication.

Haeyun Lee, Seungbin Lee, Seungjun Lee, Jimin Lee, Namsun Chou, Hyogeun Shin

Abstract read
In one paragraph

Article in ACS omega, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 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

6 authors.

Haeyun LeeSchool of Electronic and Electrical Engineering, College of IT Engineering, Kyungpook National University, Daegu 41566, Republic of Korea.
Seungbin LeeSchool of Electronics Engineering, College of IT Engineering, Kyungpook National University, Daegu 41566, Republic of Korea.
Seungjun LeeEmotion, Cognition & Behavior Research Group, Korea Brain Research Institute (KBRI), Daegu 41062, Republic of Korea.
Jimin LeeEmotion, Cognition & Behavior Research Group, Korea Brain Research Institute (KBRI), Daegu 41062, Republic of Korea.
Namsun ChouEmotion, Cognition & Behavior Research Group, Korea Brain Research Institute (KBRI), Daegu 41062, Republic of Korea.
Hyogeun ShinSchool of Electronic and Electrical Engineering, College of IT Engineering, Kyungpook National University, Daegu 41566, Republic of Korea.ORCID https://orcid.org/0000-0002-3784-2717

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neural probes capable of the precise recording and control of brain signals are essential tools for brain-computer interfaces and neuroscience research. However, conventional neural probes have not been widely adopted due to the high costs associated with semiconductor fabrication and complex packaging procedures. Herein, we present a breakthrough in this area in the form of a highly efficient flexible neural probe with a production cost of only 1.5 dollars per unit that can be mass-produced (1000 units within 3 days). The probe design is based on a standardized flexible printed circuit board (PCB) process that ensures large-scale producibility and minimizes device performance variation. The device features four independent neural probes that enable flexible targeting of multiple brain regions and a reusable interface PCB that minimizes packaging complexity. The neural signal recording performance of the fabricated probe is comparable to that of traditional silicon-based probes and is scalable with eight electrodes capable of simultaneous measurements. We anticipate that our innovative device will significantly improve the accessibility of neuroscience research.

Identifiers

PMID40124055
PMCPMC11923641

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.