Utilising activity patterns of a complex biophysical network model to optimise intra-striatal deep brain stimulation
A large-scale biophysical network model for the isolated striatal body is developed to
optimise potential intrastriatal deep brain stimulation applied to, eg obsessive-compulsive …
optimise potential intrastriatal deep brain stimulation applied to, eg obsessive-compulsive …
Data-driven modelling of brain activity using neural networks, diffusion maps, and the Koopman operator
We propose a machine-learning approach to construct reduced-order models (ROMs) to
predict the long-term out-of-sample dynamics of brain activity (and in general, high …
predict the long-term out-of-sample dynamics of brain activity (and in general, high …
Towards an optimised deep brain stimulation using a large-scale computational network and realistic volume conductor model
K Spiliotis, K Butenko, J Starke… - Journal of Neural …, 2024 - iopscience.iop.org
Objective. Constructing a theoretical framework to improve deep brain stimulation (DBS)
based on the neuronal spatiotemporal patterns of the stimulation-affected areas constitutes …
based on the neuronal spatiotemporal patterns of the stimulation-affected areas constitutes …
Data-driven and equation-free methods for neurological disorders: analysis and control of the striatum network
The striatum as part of the basal ganglia is central to both motor, and cognitive functions.
Here, we propose a large-scale biophysical network for this part of the brain, using modified …
Here, we propose a large-scale biophysical network for this part of the brain, using modified …
Adaptive Stimulations in a Biophysical Network Model of Parkinson's Disease
T Stojsavljevic, Y Guo, D Macaluso - International journal of molecular …, 2023 - mdpi.com
Deep brain stimulation (DBS)—through a surgically implanted electrode to the subthalamic
nucleus (STN)—has become a widely used therapeutic option for the treatment of …
nucleus (STN)—has become a widely used therapeutic option for the treatment of …
Evaluating the Impact of a Complex Volume Conductor Model on Network Dynamics for Deep Brain Stimulation
Computational modelling of deep brain stimulation for obsessive-compulsive disorder is vital
for understanding the complex neural mechanisms underlying the disorder and for …
for understanding the complex neural mechanisms underlying the disorder and for …
Employing a Patient-specific Volume Conductor Model as Input for a Biophysical Network Model for Deep Brain Stimulation
Deep Brain Stimulation (DBS) is an established treatment not only for motor symptoms of
various brain disorders like Parkinson's disease and dystonia but also for non-motor …
various brain disorders like Parkinson's disease and dystonia but also for non-motor …