Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Amylase-Responsive Starch-Cellulose Nanofiber Aerogel for Rapid Visual Detection of Pancreatic Fluid Leakage.

ACS applied bio materials·2026
Same author

Smart contact lens-trained digital twin for device-free personalized uric acid prediction.

Science advances·2026
Same author

AI-driven tripartite classification for optimizing wearable bioelectronics in depression management.

Science advances·2026
Same author

Diazo-6Bx, a Six-Branched Diazo Cross-Linker, Enables High-Fidelity Patterning for Solution-Processed Electronics with Stable Operation.

ACS nano·2026
Same author

Structurally engineered ultrasoft PEDOT:PSS fiber microelectrodes with enhanced electrochemical performance for neural interfaces.

Science advances·2026
Same author

Disorder-mediated non-equilibrium photocurrent redistribution enables homeostatic synaptic conditioning in AgBiS<sub>2</sub> heterostructure.

Nature communications·2026
Same journal

Interfacial stabilization enabled by triethyl borate for high-voltage batteries with a wide temperature range.

Materials horizons·2026
Same journal

Bioinspired edible vesicles as standardized nanoestrogens for safe bone remodeling in osteoporosis.

Materials horizons·2026
Same journal

MOF glass-based membranes: a promising platform for advanced separation.

Materials horizons·2026
Same journal

Modulating tris-acid integrated proton-confined motifs for efficient uranium extraction from natural seawater.

Materials horizons·2026
Same journal

Hydrodynamic rotational amplifiers with direction controllability, rotational hysteresis, nonreciprocity, and venturi effect.

Materials horizons·2026
Same journal

<i>Materials Horizons</i> Emerging Investigator Series: Professor Michael T. Yeung, University at Albany, SUNY, United States.

Materials horizons·2026
See all related articles

Related Experiment Video

Updated: May 15, 2025

Fabrication of the Composite Regenerative Peripheral Nerve Interface C-RPNI in the Adult Rat
10:35

Fabrication of the Composite Regenerative Peripheral Nerve Interface C-RPNI in the Adult Rat

Published on: February 25, 2020

8.1K

Emerging fiber-based neural interfaces with conductive composites.

Chihyeong Won1,2, Sungjoon Cho1, Kyung-In Jang3,4

  • 1School of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea. taeyoon.lee@yonsei.ac.kr.

Materials Horizons
|April 8, 2025
PubMed
Summary
This summary is machine-generated.

Flexible fiber electrodes offer advanced neural interfaces for brain-machine applications. These devices enable bidirectional communication, modulating neural activity without tissue damage, paving the way for future innovations in neurological treatments.

More Related Videos

Fabrication of High Contact-Density, Flat-Interface Nerve Electrodes for Recording and Stimulation Applications
09:35

Fabrication of High Contact-Density, Flat-Interface Nerve Electrodes for Recording and Stimulation Applications

Published on: October 4, 2016

9.7K
Open-source Toolkit: Benchtop Carbon Fiber Microelectrode Array for Nerve Recording
07:50

Open-source Toolkit: Benchtop Carbon Fiber Microelectrode Array for Nerve Recording

Published on: October 29, 2021

2.5K

Related Experiment Videos

Last Updated: May 15, 2025

Fabrication of the Composite Regenerative Peripheral Nerve Interface C-RPNI in the Adult Rat
10:35

Fabrication of the Composite Regenerative Peripheral Nerve Interface C-RPNI in the Adult Rat

Published on: February 25, 2020

8.1K
Fabrication of High Contact-Density, Flat-Interface Nerve Electrodes for Recording and Stimulation Applications
09:35

Fabrication of High Contact-Density, Flat-Interface Nerve Electrodes for Recording and Stimulation Applications

Published on: October 4, 2016

9.7K
Open-source Toolkit: Benchtop Carbon Fiber Microelectrode Array for Nerve Recording
07:50

Open-source Toolkit: Benchtop Carbon Fiber Microelectrode Array for Nerve Recording

Published on: October 29, 2021

2.5K

Area of Science:

  • Biomedical Engineering
  • Neuroscience
  • Materials Science

Background:

  • Neural interfaces are vital for treating neurological disorders and advancing brain-machine interfaces.
  • Key challenges include achieving electrophysiological modulation without tissue damage and ensuring long-term usability.
  • Reducing mechanical mismatch between neural electrodes and biological tissues is critical for device efficacy.

Purpose of the Study:

  • To introduce fiber-based neural electrode devices utilizing conductive composites.
  • To discuss fabrication technologies and integration strategies for these advanced neural interfaces.
  • To explore the potential of fiber electrodes in central and peripheral nervous system applications.

Main Methods:

  • Fabrication of fiber electrodes using conductive composites (metal nanoparticles, carbon nanomaterials, conductive polymers).
  • Characterization of electrical conductivity and mechanical properties.
  • Discussion of neural modulation techniques (electrical, optical, chemical) and integration strategies.

Main Results:

  • Fiber electrodes demonstrate remarkable flexibility, scalability, and facile system integration.
  • Conductive composites enhance electrical performance without compromising mechanical properties.
  • Fiber electrodes are suitable for various neural modulation techniques and applications.

Conclusions:

  • Fiber electrodes represent promising candidates for next-generation neural interfaces.
  • Advancements in fabrication and integration are crucial for overcoming current limitations.
  • These devices hold significant potential for future innovations in neuroscience and medicine.