Biomarkers and stimulation algorithms for adaptive brain stimulation
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 …
delivered and adjusted based on relevant biomarkers. Specific treatment mechanisms …
Clinical applications of neurochemical and electrophysiological measurements for closed-loop neurostimulation
The development of closed-loop deep brain stimulation (DBS) systems represents a
significant opportunity for innovation in the clinical application of neurostimulation therapies …
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 …
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
Sensing enabled implantable devices and next-generation neurotechnology allow real-time
adjustments of invasive neuromodulation. The identification of symptom and disease …
adjustments of invasive neuromodulation. The identification of symptom and disease …
Unraveling the complexities of programming neural adaptive deep brain stimulation in Parkinson's disease
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 …
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 …
with epilepsy do not respond to antiseizure medications without life-impacting medication …
Computational modeling of neurostimulation in brain diseases
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 …
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
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 …
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 …
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
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 …
brain disorders, but have so far been limited to short recordings from externalized brain …
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