Evidence map›Paper›PMID 40787928›Full record

ArticleACS nano2025

An Implantable, Ultralow Distortion Bioelectronic Interface Integrating Light-Emitting Diodes and Graphene Field-Effect Transistors.

Yingqi Qiang, Xincheng Zhang, Xiaoting Xue, Lucy Homer, Grace Jos, Zhengyan Weng, Huijie Li, Insoo Kim, Yi Zhang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in ACS nano, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

9 authors.

Yingqi QiangDepartment of Biomedical Engineering, University of Connecticut, Storrs, Connecticut 06269, United States.ORCID 0000-0001-8763-2323
Xincheng ZhangDepartment of Biomedical Engineering, University of Connecticut, Storrs, Connecticut 06269, United States.
Xiaoting XueDepartment of Biomedical Engineering, University of Connecticut, Storrs, Connecticut 06269, United States.
Lucy HomerDepartment of Biomedical Engineering, University of Connecticut, Storrs, Connecticut 06269, United States.
Grace JosDepartment of Biomedical Engineering, University of Connecticut, Storrs, Connecticut 06269, United States.
Zhengyan WengDepartment of Biomedical Engineering, University of Connecticut, Storrs, Connecticut 06269, United States.ORCID 0009-0007-3949-4780
Huijie LiDepartment of Biomedical Engineering, University of Connecticut, Storrs, Connecticut 06269, United States.ORCID 0000-0002-8304-5241
Insoo KimDepartment of Biomedical Engineering, University of Connecticut, Storrs, Connecticut 06269, United States.ORCID 0000-0001-6539-1776
Yi ZhangDepartment of Biomedical Engineering, University of Connecticut, Storrs, Connecticut 06269, United States.ORCID 0000-0002-0907-663X

Funding

A Wireless, Closed-Loop Neural Probe for Optogenetics, Pharmacology and Neurochemical MonitoringRF1NS118287 · NINDS · UNIVERSITY OF CONNECTICUT STORRS · PI ZHANG, YI · 2020 to 2020
$3.3M
A Wireless, Multimodal Neural Probe for Simultaneous Membrane-Free Neurochemical Sampling and NeuropharmacologyR01MH128721 · NIMH · UNIVERSITY OF CONNECTICUT STORRS · PI Yi Zhang · 2022 to 2026
$2.7M
NIMH NIH HHS R01 MH128721NINDS NIH HHS RF1 NS118287
6 · The paper itself

Abstract

Microscale inorganic light-emitting diodes (μ-ILEDs) and field-effect transistors (FETs) are two widely used electronic components for high-resolution neural modulations and multimodal recordings. Integrating these devices into minimally invasive bioelectronic interfaces provides opportunities for investigating neural signaling at the cellular and molecular levels. However, such integration poses challenges due to crosstalk-induced signal distortions. Here, we present an implantable Opto-FET bioelectronic interface that incorporates μ-ILEDs and graphene-FETs in a compact configuration with ultralow distortions. Our work systematically identifies and mitigates two major sources of distortion: electromagnetic interference and photon-induced doping in graphene channels. We demonstrate that a combination of electromagnetic shielding and a light-blocking barrier effectively suppresses the distortion, reducing the maximum signal distortion level from 10-15% to 0.3-0.9%. We finally validate the distortion suppression strategy in vivo through real-time electrophysiological recordings during the operation of the μ-ILED. Overall, this study establishes a foundation for the development of next-generation multimodal neural probes enabling simultaneous optical stimulation and neural recordings.

Indexed as

GraphiteProstheses and ImplantsSemiconductorsTransistors, ElectronicAnimalsEquipment DesignLightGraphitebioelectronic interfacesgraphene field-effect transistorsimplantable neural probesultralow distortionsμ-ILEDs

Identifiers

PMID40787928
PMCPMC12975131

What OpenQuestion holds

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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.