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  Using The Virtual Brain to reveal the role of oscillations and plasticity in shaping the brain's dynamical landscape

Roy, D., Sigala, R., Breakspear, M., McIntosh, A. R., Jirsa, V. K., Deco, G., et al. (2014). Using The Virtual Brain to reveal the role of oscillations and plasticity in shaping the brain's dynamical landscape. Brain Connectivity, 4(10), 791-811. doi:10.1089/brain.2014.0252.

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Roy, Dipanjan1, 2, Author
Sigala, Rodrigo1, 2, Author
Breakspear, Michael3, 4, 5, Author
McIntosh, Anthony R.6, Author
Jirsa, Viktor K.7, Author
Deco, Gustavo8, Author
Ritter, Petra1, 2, 9, 10, Author           
1Department of Neurology, Charité University Medicine Berlin, Germany, ou_persistent22              
2Bernstein Center for Computational Neuroscience, Berlin, Germany, ou_persistent22              
3Division of Mental Health Research, Queensland Institute of Medical Research, Brisbane, Australia, ou_persistent22              
4School of Psychiatry, The Black Dog Institute, University of New South Wales, Sydney, Australia, ou_persistent22              
5The Royal Brisbane and Woman's Hospital, Australia, ou_persistent22              
6Rotman Research Institute, University of Toronto, ON, Canada, ou_persistent22              
7Institut de Neurosciences des Systèmes, Aix-Marseille Université Faculté de Médecine, France, ou_persistent22              
8Brain and Cognition Unit, University Pompeu Fabra, Barcelona, Spain, ou_persistent22              
9Minerva Research Group Brain Modes, MPI for Human Cognitive and Brain Sciences, Max Planck Society, Leipzig, DE, ou_751546              
10Berlin School of Mind and Brain, Humboldt University Berlin, Germany, ou_persistent22              


Free keywords: STDP; Plasticity; Resting state; Alpha rhythm; Network dynamics; The Virtual Brain; Whole brain simulations
 Abstract: Spontaneous brain activity, that is, activity in the absence of controlled stimulus input or an explicit active task, is topologically organized in multiple functional networks (FNs) maintaining a high degree of coherence. These “resting state networks” are constrained by the underlying anatomical connectivity between brain areas. They are also influenced by the history of task-related activation. The precise rules that link plastic changes and ongoing dynamics of resting-state functional connectivity (rs-FC) remain unclear. Using the framework of the open source neuroinformatics platform “The Virtual Brain,” we identify potential computational mechanisms that alter the dynamical landscape, leading to reconfigurations of FNs. Using a spiking neuron model, we first demonstrate that network activity in the absence of plasticity is characterized by irregular oscillations between low-amplitude asynchronous states and high-amplitude synchronous states. We then demonstrate the capability of spike-timing-dependent plasticity (STDP) combined with intrinsic alpha (8–12 Hz) oscillations to efficiently influence learning. Further, we show how alpha-state-dependent STDP alters the local area dynamics from an irregular to a highly periodic alpha-like state. This is an important finding, as the cortical input from the thalamus is at the rate of alpha. We demonstrate how resulting rhythmic cortical output in this frequency range acts as a neuronal tuner and, hence, leads to synchronization or de-synchronization between brain areas. Finally, we demonstrate that locally restricted structural connectivity changes influence local as well as global dynamics and lead to altered rs-FC.


Language(s): eng - English
 Dates: 2014-08-1620142014-10-142014-12-15
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1089/brain.2014.0252
PMID: 25131838
 Degree: -



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Title: Brain Connectivity
Source Genre: Journal
Publ. Info: Mary Ann Liebert
Pages: - Volume / Issue: 4 (10) Sequence Number: - Start / End Page: 791 - 811 Identifier: Other: 2158-0022
CoNE: https://pure.mpg.de/cone/journals/resource/2158-0022