Evidence map›Paper›PMID 38820722›Full record

ArticleBiosensors & bioelectronics2024

Monolayer, open-mesh, pristine PEDOT:PSS-based conformal brain implants for fully MRI-compatible neural interfaces.

Jung-Hoon Hong, Ju Young Lee, Ankan Dutta, Sol Lip Yoon, Young Uk Cho, Kyubeen Kim, Kyowon Kang, Hyun Woo Kim, Dae-Hee Kim, Jaejin Park and 10 more

Erratum issuedAbstract read
In one paragraph

Article in Biosensors & bioelectronics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors.

Jung-Hoon HongFunctional Bio-integrated Electronics and Energy Management Lab, School of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, 03722, Seoul, Republic of Korea.
Ju Young LeeFunctional Bio-integrated Electronics and Energy Management Lab, School of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, 03722, Seoul, Republic of Korea.
Ankan DuttaDepartment of Engineering Science and Mechanics, The Pennsylvania State University, University Park, 16802, State College, PA, USA; Center for Neural Engineering, The Pennsylvania State University, University Park, 16802, State College, PA, USA.
Sol Lip YoonSpine & Spinal Cord Institute, Department of Neurosurgery, College of Medicine, Yonsei University, 03722, Seoul, Republic of Korea.
Young Uk ChoFunctional Bio-integrated Electronics and Energy Management Lab, School of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, 03722, Seoul, Republic of Korea; Center for Emergent Matter Science (CEMS), RIKEN, The Institute of Physical and Chemical Research, 351-0198, Saitama, Japan.
Kyubeen KimFunctional Bio-integrated Electronics and Energy Management Lab, School of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, 03722, Seoul, Republic of Korea.
Kyowon KangFunctional Bio-integrated Electronics and Energy Management Lab, School of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, 03722, Seoul, Republic of Korea.
Hyun Woo KimFunctional Bio-integrated Electronics and Energy Management Lab, School of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, 03722, Seoul, Republic of Korea.
Dae-Hee KimAvison Biomedical Research Center, College of Medicine, Yonsei University, 50-1 Yonsei-ro, Seodaemun-gu, 03722, Seoul, Republic of Korea.
Jaejin ParkFunctional Bio-integrated Electronics and Energy Management Lab, School of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, 03722, Seoul, Republic of Korea.
Myeongki ChoFunctional Bio-integrated Electronics and Energy Management Lab, School of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, 03722, Seoul, Republic of Korea.
Kiho KimFunctional Bio-integrated Electronics and Energy Management Lab, School of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, 03722, Seoul, Republic of Korea.
Jong Bin AnElectronic Device Laboratory, School of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, 03722, Seoul, Republic of Korea.
Hye-Lan LeeSpine & Spinal Cord Institute, Department of Neurosurgery, College of Medicine, Yonsei University, 03722, Seoul, Republic of Korea.
Dosik HwangSchool of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, 03722, Seoul, Republic of Korea.
Hyun Jae KimElectronic Device Laboratory, School of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, 03722, Seoul, Republic of Korea.
Yoon HaSpine & Spinal Cord Institute, Department of Neurosurgery, College of Medicine, Yonsei University, 03722, Seoul, Republic of Korea; POSTECH Biotech Center, Pohang University of Science and Technology (POSTECH), 37673, Pohang, Republic of Korea.
Hye Yeong LeeSpine & Spinal Cord Institute, Department of Neurosurgery, College of Medicine, Yonsei University, 03722, Seoul, Republic of Korea. Electronic address: kimura416@yuhs.ac.
Huanyu ChengDepartment of Engineering Science and Mechanics, The Pennsylvania State University, University Park, 16802, State College, PA, USA; Center for Neural Engineering, The Pennsylvania State University, University Park, 16802, State College, PA, USA. Electronic address: huanyu.cheng@psu.edu.
Ki Jun YuFunctional Bio-integrated Electronics and Energy Management Lab, School of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, 03722, Seoul, Republic of Korea; Department of Electrical and Electronic Engineering, YU-Korea Institute of Science and Technology (KIST) Institute, Yonsei University, 50, Yonsei-ro, Seodaemun-gu, 03722, Seoul, Republic of Korea. Electronic address: kijunyu@yonsei.ac.kr.

Funding

Cross-Disciplinary Neural Engineering (CDNE) Training ProgramT32NS115667 · NINDS · PENNSYLVANIA STATE UNIVERSITY, THE · PI GLUCKMAN, BRUCE J · 2021 to 2025
$1.1M
Smart skin grafts for quantitative assessment and treatment of diabetic woundsR21EB030140 · NIBIB · PENNSYLVANIA STATE UNIVERSITY, THE · PI CHENG, HUANYU · 2021 to 2021
$620k
NIBIB NIH HHS R21 EB030140NINDS NIH HHS T32 NS115667
6 · The paper itself

Abstract

Understanding brain function is essential for advancing our comprehension of human cognition, behavior, and neurological disorders. Magnetic resonance imaging (MRI) stands out as a powerful tool for exploring brain function, providing detailed insights into its structure and physiology. Combining MRI technology with electrophysiological recording system can enhance the comprehension of brain functionality through synergistic effects. However, the integration of neural implants with MRI technology presents challenges because of its strong electromagnetic (EM) energy during MRI scans. Therefore, MRI-compatible neural implants should facilitate detailed investigation of neural activities and brain functions in real-time in high resolution, without compromising patient safety and imaging quality. Here, we introduce the fully MRI-compatible monolayer open-mesh pristine PEDOT:PSS neural interface. This approach addresses the challenges encountered while using traditional metal-based electrodes in the MRI environment such as induced heat or imaging artifacts. PEDOT:PSS has a diamagnetic property with low electrical conductivity and negative magnetic susceptibility similar to human tissues. Furthermore, by adopting the optimized open-mesh structure, the induced currents generated by EM energy are significantly diminished, leading to optimized MRI compatibility. Through simulations and experiments, our PEDOT:PSS-based open-mesh electrodes showed improved performance in reducing heat generation and eliminating imaging artifacts in an MRI environment. The electrophysiological recording capability was also validated by measuring the local field potential (LFP) from the somatosensory cortex with an in vivo experiment. The development of neural implants with maximized MRI compatibility indicates the possibility of potential tools for future neural diagnostics.

Indexed as

BrainMagnetic Resonance ImagingPolymersAnimalsBiosensing TechniquesBridged Bicyclo Compounds, HeterocyclicElectric ConductivityElectrodes, ImplantedEquipment DesignHumansPolystyrenesThiophenesBridged Bicyclo Compounds, Heterocyclicpoly(3,4-ethylene dioxythiophene)poly(3,4-ethylenedioxythiophene)-poly(styrenesulfonate)PolymersPolystyrenesThiophenesMagnetic resonance imagingMRI-compatible neural interfaceNeural implantOpen-mesh structurePEDOT:PSS

Identifiers

PMID38820722
PMCPMC11216815

What OpenQuestion holds

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Registered trials

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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.