[HTML][HTML] Transparent neural implantable devices: a comprehensive review of challenges and progress

YU Cho, SL Lim, JH Hong, KJ Yu - npj Flexible Electronics, 2022 - nature.com
The key to designing an implantable device lies in condensing the synergistic effects of
diagnostic and therapeutic methods in a single tool. In conjunction with the integration of …

Towards adaptive deep brain stimulation: clinical and technical notes on a novel commercial device for chronic brain sensing

Y Thenaisie, C Palmisano, A Canessa… - Journal of Neural …, 2021 - iopscience.iop.org
Objective. Technical advances in deep brain stimulation (DBS) are crucial to improve
therapeutic efficacy and battery life. We report the potentialities and pitfalls of one of the first …

[HTML][HTML] Machine learning for adaptive deep brain stimulation in Parkinson's disease: closing the loop

AM Oliveira, L Coelho, E Carvalho… - Journal of …, 2023 - Springer
Parkinson's disease (PD) is the second most common neurodegenerative disease bearing a
severe social and economic impact. So far, there is no known disease modifying therapy …

[HTML][HTML] Past, present, and future of deep brain stimulation: hardware, software, imaging, physiology and novel approaches

J Frey, J Cagle, KA Johnson, JK Wong… - Frontiers in …, 2022 - frontiersin.org
Deep brain stimulation (DBS) has advanced treatment options for a variety of neurologic and
neuropsychiatric conditions. As the technology for DBS continues to progress, treatment …

Concurrent stimulation and sensing in bi-directional brain interfaces: a multi-site translational experience

J Ansó, M Benjaber, B Parks, S Parker… - Journal of neural …, 2022 - iopscience.iop.org
Objective. To provide a design analysis and guidance framework for the implementation of
concurrent stimulation and sensing during adaptive deep brain stimulation (aDBS) with …

[HTML][HTML] Neurotechnological approaches to the diagnosis and treatment of Alzheimer's disease

S Ning, M Jorfi, SR Patel, DY Kim… - Frontiers in Neuroscience, 2022 - frontiersin.org
Alzheimer's disease (AD) is the most common cause of dementia in the elderly, clinically
defined by progressive cognitive decline and pathologically, by brain atrophy …

[HTML][HTML] Neuromorphic bioelectronic medicine for nervous system interfaces: from neural computational primitives to medical applications

E Donati, G Indiveri - Progress in Biomedical Engineering, 2023 - iopscience.iop.org
Bioelectronic medicine treats chronic diseases by sensing, processing, and modulating the
electronic signals produced in the nervous system of the human body, labeled'neural …

[HTML][HTML] Deep brain stimulation: emerging tools for simulation, data analysis, and visualization

K Wårdell, T Nordin, D Vogel, P Zsigmond… - Frontiers in …, 2022 - frontiersin.org
Deep brain stimulation (DBS) is a well-established neurosurgical procedure for movement
disorders that is also being explored for treatment-resistant psychiatric conditions. This …

Modelling of magnetoelectric nanoparticles for non-invasive brain stimulation: a computational study

S Fiocchi, E Chiaramello, A Marrella… - Journal of Neural …, 2022 - iopscience.iop.org
Objective. Recently developed magnetoelectric nanoparticles (MENPs) provide a potential
tool to enable different biomedical applications. They could be used to overcome the …

Neural interfaces: Bridging the brain to the world beyond healthcare

S Xu, Y Liu, H Lee, W Li - Exploration, 2024 - Wiley Online Library
Neural interfaces, emerging at the intersection of neurotechnology and urban planning,
promise to transform how we interact with our surroundings and communicate. By recording …