Bio-integrative design of the neural tissue-device interface DOI
Delin Shi, Vaishnavi Dhawan, Xinyan Tracy Cui

et al.

Current Opinion in Biotechnology, Journal Year: 2021, Volume and Issue: 72, P. 54 - 61

Published: Oct. 26, 2021

Language: Английский

Toward nanobioelectronic medicine: Unlocking new applications using nanotechnology DOI
Steven Gibney, Jacqueline M. Hicks,

Andie Robinson

et al.

Wiley Interdisciplinary Reviews Nanomedicine and Nanobiotechnology, Journal Year: 2021, Volume and Issue: 13(3)

Published: Jan. 14, 2021

Abstract Bioelectronic medicine aims to interface electronic technology with biological components and design more effective therapeutic diagnostic tools. Advances in nanotechnology have moved the field forward improving seamless interaction between components. In lab many of these nanobioelectronic devices potential improve current treatment approaches, including those for cancer, cardiovascular disorders, disease underpinned by malfunctions neuronal electrical communication. While promising, technologies require further development before they can be successfully applied a clinical setting. Here, we highlight recent work which is close achieving this goal, discussion nanoparticles, carbon nanotubes, nanowires medical applications. We also look toward next decade determine how developments could shape growing bioelectronic medicine. This article categorized under: Therapeutic Approaches Drug Discovery > Emerging Technologies Nanotechnology Biology Nanoscale Systems Diagnostic Tools Biosensing

Language: Английский

Citations

33

PtNPs/rGO-GluOx/mPD Directionally Electroplated Dual-Mode Microelectrode Arrays for Detecting the Synergistic Relationship between the Cortex and Hippocampus of Epileptic Rats DOI
Jingyu Xie, Yuchuan Dai, Yu Xing

et al.

ACS Sensors, Journal Year: 2023, Volume and Issue: 8(4), P. 1810 - 1818

Published: April 4, 2023

Precise and directional couplings of functional nanomaterials with implantable microelectrode arrays (IMEAs) are critical for the manufacture sensitive enzyme-based electrochemical neural sensors. However, there is a gap between microscale IMEA conventional bioconjugation techniques enzyme immobilization, which leads to series challenges such as limited sensitivity, signal crosstalk, high detection voltage. Here, we developed novel method using carboxylated graphene oxide (cGO) directionally couple glutamate oxidase (GluOx) biomolecules onto monitor concentration electrophysiology in cortex hippocampus epileptic rats under RuBi-GABA modulation. The resulting exhibited good performance involving less crosstalk microelectrodes, lower reaction potential (0.1 V), higher linear sensitivity (141.00 ± 5.66 nA μM–1 mm–2). excellent linearity ranged from 0.3 68 μM (R = 0.992), limit was μM. For rats, proposed sensitively obtained synergetic variations action (Spike), local field potentials (LFPs), during seizure inhibition. We found that increase preceded burst electrophysiological signals. At same time, both changes cortex. This reminded us could serve important indicators early warning epilepsy. Our findings provided new technical strategy stabilizing enzymes versatile implications various biomolecules' modification facilitated development detecting tools understanding mechanism.

Language: Английский

Citations

15

Beyond Tissue replacement: The Emerging role of smart implants in healthcare DOI Creative Commons
Elena Abyzova, Elizaveta Dogadina, Raúl D. Rodriguez

et al.

Materials Today Bio, Journal Year: 2023, Volume and Issue: 22, P. 100784 - 100784

Published: Aug. 29, 2023

Smart implants are increasingly used to treat various diseases, track patient status, and restore tissue organ function. These devices support internal organs, actively stimulate nerves, monitor essential functions. With continuous monitoring or stimulation, observation quality subsequent treatment can be improved. Additionally, using biodegradable entirely excreted implant materials eliminates the need for surgical removal, providing a patient-friendly solution. In this review, we classify smart discuss latest prototypes, materials, technologies employed in their creation. Our focus lies exploring medical beyond replacing an incorporating new functionality through sensors electronic circuits. We also examine advantages, opportunities, challenges of creating implantable that preserve all critical By presenting in-depth overview current state-of-the-art implants, shed light on persistent issues limitations while discussing potential avenues future advancements these devices.

Language: Английский

Citations

14

Review of wearable technologies and machine learning methodologies for systematic detection of mild traumatic brain injuries DOI Creative Commons
William Schmid, Yingying Fan, Taiyun Chi

et al.

Journal of Neural Engineering, Journal Year: 2021, Volume and Issue: 18(4), P. 041006 - 041006

Published: July 30, 2021

Mild traumatic brain injuries (mTBIs) are the most common type of injury. Timely diagnosis mTBI is crucial in making 'go/no-go' decision order to prevent repeated injury, avoid strenuous activities which may prolong recovery, and assure capabilities high-level performance subject. If undiagnosed, lead various short- long-term abnormalities, include, but not limited impaired cognitive function, fatigue, depression, irritability, headaches. Existing screening diagnostic tools detect acute andearly-stagemTBIs have insufficient sensitivity specificity. This results uncertainty clinical decision-making regarding returning activity or requiring further medical treatment. Therefore, it important identify relevant physiological biomarkers that can be integrated into a mutually complementary set provide combination data modalities for improved on-site mTBI. In recent years, processing power, signal fidelity, number recording channels wearable healthcare devices tremendously generated an enormous amount data. During same period, there been incredible advances machine learning methodologies. These achievements enabling clinicians engineers develop implement multiparametric high-precision this review, we first assess challenges mTBI, then consider hardware implementation sensing technologies used related Finally, discuss state art learning-based detection how more diverse list quantitative biomarker features improve current data-driven approaches providing patients timely

Language: Английский

Citations

32

Bio-integrative design of the neural tissue-device interface DOI
Delin Shi, Vaishnavi Dhawan, Xinyan Tracy Cui

et al.

Current Opinion in Biotechnology, Journal Year: 2021, Volume and Issue: 72, P. 54 - 61

Published: Oct. 26, 2021

Language: Английский

Citations

28