Biomarkers and stimulation algorithms for adaptive brain stimulation

KB Hoang, IR Cassar, WM Grill… - Frontiers in neuroscience, 2017 - frontiersin.org
The goal of this review is to describe in what ways feedback or adaptive stimulation may be
delivered and adjusted based on relevant biomarkers. Specific treatment mechanisms …

Clinical applications of neurochemical and electrophysiological measurements for closed-loop neurostimulation

JB Price, AE Rusheen, AS Barath, JMR Cabrera… - Neurosurgical …, 2020 - thejns.org
The development of closed-loop deep brain stimulation (DBS) systems represents a
significant opportunity for innovation in the clinical application of neurostimulation therapies …

A translational platform for prototyping closed-loop neuromodulation systems

P Afshar, A Khambhati, S Stanslaski… - Frontiers in neural …, 2013 - frontiersin.org
While modulating neural activity through stimulation is an effective treatment for neurological
diseases such as Parkinson's disease and essential tremor, an opportunity for improving …

[HTML][HTML] Machine learning based brain signal decoding for intelligent adaptive deep brain stimulation

T Merk, V Peterson, R Köhler, S Haufe… - Experimental …, 2022 - Elsevier
Sensing enabled implantable devices and next-generation neurotechnology allow real-time
adjustments of invasive neuromodulation. The identification of symptom and disease …

Unraveling the complexities of programming neural adaptive deep brain stimulation in Parkinson's disease

KB Wilkins, JA Melbourne, P Akella… - Frontiers in Human …, 2023 - frontiersin.org
Over the past three decades, deep brain stimulation (DBS) for Parkinson's disease (PD) has
been applied in a continuous open loop fashion, unresponsive to changes in a given …

The RNS System: brain-responsive neurostimulation for the treatment of epilepsy

B Jarosiewicz, M Morrell - Expert review of medical devices, 2021 - Taylor & Francis
Introduction: Epilepsy affects more than 1% of the US population, and over 30% of adults
with epilepsy do not respond to antiseizure medications without life-impacting medication …

Computational modeling of neurostimulation in brain diseases

Y Wang, F Hutchings, M Kaiser - Progress in brain research, 2015 - Elsevier
Neurostimulation as a therapeutic tool has been developed and used for a range of different
diseases such as Parkinson's disease, epilepsy, and migraine. However, it is not known why …

[HTML][HTML] Toward electrophysiology-based intelligent adaptive deep brain stimulation for movement disorders

WJ Neumann, RS Turner, B Blankertz, T Mitchell… - …, 2019 - Elsevier
Deep brain stimulation (DBS) represents one of the major clinical breakthroughs in the age
of translational neuroscience. In 1987, Benabid and colleagues demonstrated that high …

[HTML][HTML] Identifying controllable cortical neural markers with machine learning for adaptive deep brain stimulation in Parkinson's disease

S Castaño-Candamil, T Piroth, P Reinacher… - NeuroImage: Clinical, 2020 - Elsevier
The identification of oscillatory neural markers of Parkinson's disease (PD) can contribute
not only to the understanding of functional mechanisms of the disorder, but may also serve …

Long-term wireless streaming of neural recordings for circuit discovery and adaptive stimulation in individuals with Parkinson's disease

R Gilron, S Little, R Perrone, R Wilt… - Nature …, 2021 - nature.com
Neural recordings using invasive devices in humans can elucidate the circuits underlying
brain disorders, but have so far been limited to short recordings from externalized brain …