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Stimulation-Based Control of Dynamic Brain Networks
2016
PLoS Computational Biology
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Stimulation-Based Control of Dynamic Brain Networks PLOS Computational Biology | ...
To study the system wide impact of regional stimulation, we employ a data-driven computational model of nonlinear brain dynamics to systematically explore the effects of targeted stimulation. ...
Stimulation-Based Control of Dynamic Brain Networks structural effect, while stimulation of regions with a high modal controllability results in a higher structural effect. ...
doi:10.1371/journal.pcbi.1005076
pmid:27611328
pmcid:PMC5017638
fatcat:b5pqgv5j7vgafoeugeh4b3ilde
Stimulation-based control of dynamic brain networks
[article]
2016
arXiv
pre-print
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To study the system wide impact of regional stimulation, we employ a data-driven computational model of nonlinear brain dynamics to systematically explore the effects of targeted stimulation. ...
Despite the growing interest in brain stimulation as a form of neuromodulation, much remains unknown about the network-level impact of these focal perturbations. ...
Supplementary Information for "Stimulation-based control of dynamic brain networks" ...
arXiv:1601.00987v1
fatcat:tyhf5hx3erdahk2jafr76mgncu
Design and Implementation of Neural Network Based Chaotic System Model for the Dynamical Control of Brain Stimulation
unpublished
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In order to generate accurate stimulation signals in brain stimulation treatment, it is beneficial to establish an ANN model to simulate the brain dynamics and study the effects of various stimulation ...
The aim of this research is to implement an optimal ANN architecture model to generate the output pattern of a chaotic system, which can be used to simulate the brain dynamics under stimulation. ...
Network control theory has been used to study the effects of stimulation on brain networks [20] . ...
fatcat:6nijeoqiazaodeqa42cndl6lqi
Functional control of electrophysiological network architecture using direct neurostimulation in humans
2019
Network Neuroscience
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Here, we use tools from network control theory to examine the dynamic reconfiguration of functionally interacting neuronal ensembles during targeted neurostimulation of cortical and subcortical brain structures ...
Stimulation of areas with structurally weak connections largely modulates the functional hubness of downstream areas and concurrently propels the brain towards more difficult-to-reach dynamical states. ...
ACKNOWLEDGMENTS We thank Blackrock Microsystems for providing neural recording and stimulation equipment. ...
doi:10.1162/netn_a_00089
pmid:31410383
pmcid:PMC6663306
fatcat:tnkjw7lr4bf4vbk2peak6p6au4
Predictive control of electrophysiological network architecture using direct, single-node neurostimulation in humans
[article]
2018
bioRxiv
pre-print
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Here, we use tools from network control theory to examine the dynamic reconfiguration of functionally interacting neuronal ensembles during targeted neurostimulation of cortical and subcortical brain structures ...
Stimulation of areas with structurally weak connections largely modulates the functional hubness of downstream areas and concurrently propels the brain towards more difficult-to-reach dynamical states. ...
to control a subset of dynamical modes of the network. ...
doi:10.1101/292748
fatcat:dgvpuflcp5dahaej6mva3orvui
Structural controllability predicts functional patterns and neuromodulatory benefits associated with working memory
[article]
2019
bioRxiv
pre-print
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account of local influences on global brain dynamics. ...
The brain is an inherently dynamic system, and much work has focused on the ability to modify neural activity through both local perturbations and changes in the function of global network ensembles. ...
approaches based on the dynamic control of global brain states. ...
doi:10.1101/794388
fatcat:ezippjz5l5hc7dxajsp3b5gfta
Challenges of understanding brain function by selective modulation of neuronal subpopulations
2013
Trends in Neurosciences
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Such methods could dramatically increase the effectiveness of selective modulation and may lead to a mechanistic understanding of principles underlying brain function. ...
Neuronal networks confront researchers with an overwhelming complexity of interactions between their elements. ...
Cluster of Excellence funded by the German Research Foundation (DFG) grant EXC 1086, is gratefully acknowledged. ...
doi:10.1016/j.tins.2013.06.005
pmid:23876423
fatcat:4mjh3mx2rnfsjolkh6xn6lpzwm
Colloquium : Control of dynamics in brain networks
2018
Reviews of Modern Physics
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Efforts to address this gap include the construction of tools for the control of brain networks, mostly adapted from control and dynamical systems theory. ...
We present intriguing recent developments for effective strategies of control in dynamic brain networks, and we also describe potential mechanisms that underlie such processes. ...
Application to brain networks To use these methods to answer questions in neuroscience, we must begin by constructing networks based on our knowledge of brain connectivity. ...
doi:10.1103/revmodphys.90.031003
fatcat:ly3t2edoobaezdv7pzeumnyvry
Long-lasting neuronal desynchronization caused by coordinated reset stimulation
2011
BMC Neuroscience
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To overcome limitations of standard HF deep brain stimulation, we use a model based approach. ...
Along the lines of a top-down approach we test our control techniques in oscillator networks as well as neural networks. ...
To overcome limitations of standard HF deep brain stimulation, we use a model based approach. ...
doi:10.1186/1471-2202-12-s1-k3
pmcid:PMC3240168
fatcat:dfijx7fx4fbdfjzkmryasakntq
Mind Control as a Guide for the Mind
[article]
2017
arXiv
pre-print
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While historically a number of tools have been employed to modulate mental states (such as cognitive behavioral therapy and brain stimulation), theoretical frameworks to guide these interventions - and ...
The human brain is a complex network that supports mental function. ...
The content is solely the responsibility of the authors and does not necessarily represent the official views of any of the funding agencies. ...
arXiv:1610.04134v2
fatcat:n7heylmgn5au7hkjocgsfqpim4
Abnormal Functional Network Topology and Its Dynamics during Sustained Attention Processing Significantly Implicate Post-TBI Attention Deficits in Children
2021
Brain Sciences
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Then, the sliding-window-based method was utilized to assess the dynamics of the topological properties in each stimulation stage. ...
This study investigated the topological properties of the functional brain network for sustained attention processing and their dynamics in 42 children with severe post-TBI attention deficits (TBI-A) and ...
During the network dynamics analyses introduced in the following paragraphs, the temporal window-based FC matrices of the early and late-stimulation stages were extracted from only the first four task-stimulation ...
doi:10.3390/brainsci11101348
pmid:34679412
fatcat:giz4cgi4ivb5zpu6nwvfo6iuse
White Matter Network Architecture Guides Direct Electrical Stimulation Through Optimal State Transitions
[article]
2018
arXiv
pre-print
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network control theoretic models of brain response to stimulation. ...
Here, we use network control theory to build a model of brain network function that makes predictions about how stimulation spreads through the brain's white matter network and influences large-scale dynamics ...
Author Declaration The authors declare no conflicts of interest. ...
arXiv:1805.01260v1
fatcat:wlz7mebpere5xan272vvrz7ohy
Personalized brain network models for assessing structure–function relationships
2018
Current Opinion in Neurobiology
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2018 pre-print arXiv:1802.00473v1 fatcat:r72q6ngiyzfspnam2xamraa67m
Finally, we present examples of how personalized brain network models can be used to gain insight into the effects of local stimulation and improve surgical outcomes in epilepsy. ...
Many recent efforts in computational modeling of macro-scale brain dynamics have begun to take a data-driven approach by incorporating structural and/or functional information derived from subject data ...
The content is solely the responsibility of the authors and does not necessarily represent the official views of any of the funding agencies. ...
doi:10.1016/j.conb.2018.04.014
pmid:29704749
fatcat:liix2j37yzakxb74huqdagvxqu
Latent characteristics and neural manifold of brain functional network under acupuncture
2022
IEEE transactions on neural systems and rehabilitation engineering
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Primarily, the low-dimensional embedding neural manifold of brain dynamical functional network is extracted via the reconstructed geodetic distance. ...
It is found that there exhibits stronger acupuncture-specific reconfiguration of brain network. ...
Analysis of brain manifold topology under different acupuncture manipulations Based on the controllability analysis of dynamical functional network, the low-dimensional manifold structural features of ...
doi:10.1109/tnsre.2022.3157380
pmid:35271443
fatcat:qeca6q4sx5gcrp7iek26y67pbe
Computational models of epilepsy
2012
Seizure
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However, approximately 30% of the patients suffer from medically refractory epilepsy, wherein seizures are not controlled by the use of anti-epileptic drugs. ...
In this review article we present a survey of different computational models for epilepsy and discuss how computer models can aid in our understanding of brain mechanisms in epilepsy and the development ...
Acknowledgements SST would like to acknowledge kind support from the Wilder Center of Excellence for Epilepsy Research and the Childrens Miracle Network. ...
doi:10.1016/j.seizure.2012.08.012
pmid:22995680
fatcat:cvhskngawrcu3kgaximxomwhvu
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