ArticleNano research2024
Triboelectric nanogenerators for self-powered neurostimulation.
Article in Nano research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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.
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.
Who cites it
9 citing papers in PubMed.
- A wireless bioresorbable triboelectric system for postoperative pain control.National science review · 2026Article
- Smart Nanotechnologies for Multimodal Neuromodulation and Brain Interfacing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Review
- African minors' health challenges are comparable to those in the rest of the world.World journal of clinical pediatrics · 2025Article
- Implantable Self-Powered Systems for Electrical Stimulation Medical Devices.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Review
- Implantable bioelectronic devices for photoelectrochemical and electrochemical modulation of cells and tissues.Nature reviews bioengineering · 2025Article
- The "Cocombola Study": A Physical Phantom Model for tDCS-Induced Electric Field Distribution.Bioengineering (Basel, Switzerland) · 2025Article
- Advances in piezoelectric nanogenerators for self-powered cardiac care.Nano trends (2023) · 2024Article
- Advances in Machine Learning for Wearable Sensors.ACS nano · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
The burgeoning field of soft bioelectronics heralds a new dawn in medical treatment for neurological and psychiatric conditions, presenting innovative methods for the stimulation, inhibition, and precise sensing of neuronal activities. Central to these advancements is the challenge of power supply; devices dependent on traditional batteries face limitations regarding miniaturization and require invasive surgeries for battery replacement. Triboelectric nanogenerators (TENGs), which generate power from biomechanical movements, offer a promising solution for developing self-powered neurostimulation devices without the need for an external power supply. This review delves into recent progress in TENGs, with a focus on their application in self-powered neurostimulation systems. The utility of TENGs across various nervous systems-including the center, autonomic, and somatic nervous systems-is explored and presented, highlighting the potential for these devices to facilitate neurological treatments. By summarizing TENGs' operational details and the potential for clinical translation, this review also identifies challenges associated with the implantation and integration of neural electrodes and presents recent advances in solutions, aiming to reshape electric treatments for neurological diseases.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.