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Stimulation-Based Control of Dynamic Brain Networks

Sarah Feldt Muldoon, Fabio Pasqualetti, Shi Gu, Matthew Cieslak, Scott T. Grafton, Jean M. Vettel, Danielle S. Bassett, Claus C. Hilgetag
2016 PLoS Computational Biology  
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]

Sarah Feldt Muldoon, Fabio Pasqualetti, Shi Gu, Matthew Cieslak, Scott T. Grafton, Jean M. Vettel, Danielle S. Bassett
2016 arXiv   pre-print
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

Lei Zhang
unpublished
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

Ankit N. Khambhati, Ari E. Kahn, Julia Costantini, Youssef Ezzyat, Ethan A. Solomon, Robert E. Gross, Barbara C. Jobst, Sameer A. Sheth, Kareem A. Zaghloul, Gregory Worrell, Sarah Seger, Bradley C. Lega (+11 others)
2019 Network Neuroscience  
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]

Ankit Narendra Khambhati, Ari E Kahn, Julia Costantini, Youssef Ezzyat, Ethan A Solomon, Robert E Gross, Barbara C Jobst, Sameer A Sheth, Kareem A Zaghloul, Gregory Worrell, Sarah Seger, Bradley C Lega (+11 others)
2018 bioRxiv   pre-print
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]

Lysianne Beynel, Lifu Deng, Courtney Crowell, Moritz Dannhauer, Hannah Palmer, Susan Hilbig, Angel V Peterchev, Bruce Luber, Sarah H Lisanby, Roberto Cabeza, Lawrence G Appelbaum, Simon W Davis
2019 bioRxiv   pre-print
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

Arvind Kumar, Ioannis Vlachos, Ad Aertsen, Clemens Boucsein
2013 Trends in Neurosciences  
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

Evelyn Tang, Danielle S. Bassett
2018 Reviews of Modern Physics  
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

Peter A Tass
2011 BMC Neuroscience  
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]

John D. Medaglia, Perry Zurn, Walter Sinnott-Armstrong, Danielle S. Bassett
2017 arXiv   pre-print
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

Meng Cao, Jeffery M. Halperin, Xiaobo Li
2021 Brain Sciences  
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]

Jennifer Stiso, Ankit N. Khambhati, Tommaso Menara, Ari E. Kahn, Joel M. Stein, Sandihitsu R. Das, Richard Gorniak, Joseph Tracy, Brian Litt, Kathryn A. Davis, Fabio Pasqualetti, Timothy Lucas, Danielle S. Bassett
2018 arXiv   pre-print
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

Kanika Bansal, Johan Nakuci, Sarah Feldt Muldoon
2018 Current Opinion in Neurobiology  
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

Kai Li, Jiang Wang, Shanshan Li, Bin Deng, Haitao Yu
2022 IEEE transactions on neural systems and rehabilitation engineering  
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

Roxana A. Stefanescu, R.G. Shivakeshavan, Sachin S. Talathi
2012 Seizure  
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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