Brain–machine interfaces from motor to mood

MM Shanechi - Nature neuroscience, 2019 - nature.com
Brain–machine interfaces (BMIs) create closed-loop control systems that interact with the
brain by recording and modulating neural activity and aim to restore lost function, most …

Adaptive deep brain stimulation (aDBS) controlled by local field potential oscillations

A Priori, G Foffani, L Rossi, S Marceglia - Experimental neurology, 2013 - Elsevier
Despite their proven efficacy in treating neurological disorders, especially Parkinson's
disease, deep brain stimulation (DBS) systems could be further optimized to maximize …

Modelling and prediction of the dynamic responses of large-scale brain networks during direct electrical stimulation

Y Yang, S Qiao, OG Sani, JI Sedillo… - Nature biomedical …, 2021 - nature.com
Direct electrical stimulation can modulate the activity of brain networks for the treatment of
several neurological and neuropsychiatric disorders and for restoring lost function. However …

Brain–computer interfaces for neuropsychiatric disorders

LL Oganesian, MM Shanechi - Nature Reviews Bioengineering, 2024 - nature.com
Neuropsychiatric disorders such as major depression are a leading cause of disability
worldwide with standard treatments, including psychotherapy or medication, failing many …

A control-theoretic system identification framework and a real-time closed-loop clinical simulation testbed for electrical brain stimulation

Y Yang, AT Connolly… - Journal of neural …, 2018 - iopscience.iop.org
Objective. Closed-loop electrical brain stimulation systems may enable a precisely-tailored
treatment for neurological and neuropsychiatric disorders by controlling the stimulation …

Closing the loop of deep brain stimulation

R Carron, A Chaillet, A Filipchuk… - Frontiers in systems …, 2013 - frontiersin.org
High-frequency deep brain stimulation is used to treat a wide range of brain disorders, like
Parkinson's disease. The stimulated networks usually share common electrophysiological …

State-space optimal feedback control of optogenetically driven neural activity

MF Bolus, AA Willats, CJ Rozell… - Journal of neural …, 2021 - iopscience.iop.org
Objective. The rapid acceleration of tools for recording neuronal populations and targeted
optogenetic manipulation has enabled real-time, feedback control of neuronal circuits in the …

Robust adaptive deep brain stimulation control of in-silico non-stationary parkinsonian neural oscillatory dynamics

H Fang, SA Berman, Y Wang… - Journal of Neural …, 2024 - iopscience.iop.org
Objective. Closed-loop deep brain stimulation (DBS) is a promising therapy for Parkinson's
disease (PD) that works by adjusting DBS patterns in real time from the guidance of …

Adaptive delivery of continuous and delayed feedback deep brain stimulation-a computational study

OV Popovych, PA Tass - Scientific Reports, 2019 - nature.com
Adaptive deep brain stimulation (aDBS) is a closed-loop method, where high-frequency
DBS is turned on and off according to a feedback signal, whereas conventional high …

Design strategies for dynamic closed-loop optogenetic neurocontrol in vivo

MF Bolus, AA Willats, CJ Whitmire… - Journal of neural …, 2018 - iopscience.iop.org
Objective. Controlling neural activity enables the possibility of manipulating sensory
perception, cognitive processes, and body movement, in addition to providing a powerful …