AI Article Synopsis
- - Thiol-ene/acrylate shape-memory polymers are being explored as suitable materials for neural electrodes that help treat neurological disorders by influencing nerve impulse conduction.
- - The study focuses on identifying the best synthesis methods for these polymers, considering factors like curing conditions, polymer thickness, monomer ratios, and water absorption to achieve optimal properties.
- - Results indicate that polymers with a minimum of 50% acrylate content and cured for at least 1 hour at a wavelength of 365 nm show great potential for use as neural electrode substrates due to their favorable characteristics.
Article Abstract
Thiol-ene/acrylate shape-memory polymers can be used as base substrates for neural electrodes to treat neurological dysfunction. Neural electrodes are implanted into the body to alter or record impulse conduction. This study characterizes thiol-ene/acrylate polymers to determine which synthesis methods constitute an ideal substrate for neural implants. To achieve a desired between 50 and 56.5 °C, curing conditions, polymer thickness, monomer ratios, and water uptake were all examined and controlled for. Characterization with dynamic mechanical analysis and thermal gravimetric analysis reveals that thin, thiol-ene/acrylate polymers composed of at least 50 mol % acrylate content and cured for at least 1 h at 365 nm are promising as substrates for neural electrodes.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6044618 | PMC |
| http://dx.doi.org/10.1021/acsomega.7b00834 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Classification of Imagined Speech Signals Using Functional Connectivity Graphs and Machine Learning Models.
Brain Topogr
January 2025
Department of Electrical Engineering, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, 247667, India.
EEG involves recording electrical activity generated by the brain through electrodes placed on the scalp. Imagined speech classification has emerged as an essential area of research in brain-computer interfaces (BCIs). Despite significant advances, accurately classifying imagined speech signals remains challenging due to their complex and non-stationary nature.
View Article and Find Full Text PDFBioaugmented design and functional evaluation of low damage implantable array electrodes.
Bioact Mater
May 2025
State Key Laboratory for Manufacturing System Engineering, School of Mechanical Engineering, Xi'an Jiaotong University, China.
Implantable neural electrodes are key components of brain-computer interfaces (BCI), but the mismatch in mechanical and biological properties between electrode materials and brain tissue can lead to foreign body reactions and glial scarring, and subsequently compromise the long-term stability of electrical signal transmission. In this study, we proposed a new concept for the design and bioaugmentation of implantable electrodes (bio-array electrodes) featuring a heterogeneous gradient structure. Different composite polyaniline-gelatin-alginate based conductive hydrogel formulations were developed for electrode surface coating.
View Article and Find Full Text PDFFeasibility of Self-Programming of the Speech Processor Via Remote Assistant Fitting in Experienced Cochlear Implant Users.
Int Arch Otorhinolaryngol
January 2025
Department of Otolaryngology, Hospital das Clínicas, Faculty of Medicine, Universidade de São Paulo, São Paulo, SP, Brazil.
Adults with cochlear implants (CIs) need periodic programming of their speech processors to take advantage of alternative adjustments. However, this requires patients to attend the CI center in person. To evaluate the feasibility of speech processor (SP) self-programming with remote assistance in CI users.
View Article and Find Full Text PDFState-dependent neurovascular modulation induced by transcranial ultrasound stimulation.
Med Biol Eng Comput
January 2025
School of Biomedical Engineering, Shanghai Jiao Tong University, No.1954 Huashan Road, Shanghai, 200030, Shanghai, China.
Previous studies reported baseline state-dependent effects on neural and hemodynamic responses to transcranial ultrasound stimulation. However, due to neurovascular coupling, neither neural nor hemodynamic baseline alone can fully explain the ultrasound-induced responses. In this study, using a general linear model, we aimed to investigate the roles of both neural and hemodynamic baseline status as well as their interactions in ultrasound-induced responses.
View Article and Find Full Text PDFSustainability metrics targeted optimization and electric discharge process modelling by neural networks.
Sci Rep
January 2025
Center for Automation and Robotics, CSIC-Universidad Politécnica de Madrid, Arganda del Rey, Madrid, 28500, Spain.
Aluminium and its alloys, especially Al6061, have gathered significant interest among researchers due to its less density, great durability, and high strength. Due to their lightweight properties, the precise machining of these alloys can become expensive through conventional machining operations for intricate products. Therefore, non-traditional machining such as electric discharge machining (EDM) can potentially be opted for the cutting of Al6061.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!