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Scale-invariant rearrangement of resting state networks in the human brain under sustained stimulation

Silvia Tommasin, Daniele Mascali, Marta Moraschi, Tommaso Gili, Ibrahim Eid Hassan, Michela Fratini, Mauro DiNuzzo, Richard G. Wise, Silvia Mangia, Emiliano Macaluso, Federico Giove
2018 NeuroImage  
We found that the transition from the resting state to the task state involves a behaviourally relevant and scale-invariant modulation of synchronization patterns within both task-positive and default  ...  In spite of large and widespread changes of connectivity strength, the overall topology of brain networks is remarkably preserved.  ...  premiale NETFUN: NETwork FUNzionali cerebrali studiati con NMR" (Functional brain networks studied by NMR).  ... 
doi:10.1016/j.neuroimage.2018.06.006 pmid:29908935 pmcid:PMC6538940 fatcat:ck74qmcuarajjmkzad6d6af6wy

Neurophysiological Hallmarks of Neurodegenerative Cognitive Decline: The Study of Brain Connectivity as A Biomarker of Early Dementia

Paolo Maria Rossini, Francesca Miraglia, Francesca Alù, Maria Cotelli, Florinda Ferreri, Riccardo Di Iorio, Francesco Iodice, Fabrizio Vecchio
2020 Journal of Personalized Medicine  
brain to preserve most of its functions within the "normality" frame.  ...  If the risk factors favoring degenerative mechanisms are modified during early stages (i.e., in the prodromal), the degenerative process and the loss of abilities in daily living activities will be delayed  ...  The analyses were carried out in the whole brain-as well as for the left and the right hemisphere separately-and in three specific resting=state sub-networks defined as follows: attentional network (AN  ... 
doi:10.3390/jpm10020034 pmid:32365890 pmcid:PMC7354555 fatcat:srfn4n6ohnhovcxql26exo7vly

Colloquium : Criticality and dynamical scaling in living systems

Miguel A. Muñoz
2018 Reviews of Modern Physics  
Criticality, with its concomitant scale invariance, can be conjectured to emerge in living systems as the result of adaptive and evolutionary processes that, for reasons to be fully elucidated, select  ...  , halfway between order and disorder, i.e. in the vicinity of the critical point of a phase transition.  ...  Neural activity and brain networks Spontaneous cortical activity The cerebral-cortex of mammalians is never silent, not even under resting conditions nor in the absence of stimuli; instead, it exhibits  ... 
doi:10.1103/revmodphys.90.031001 fatcat:xre2l2lxq5bwdgzdq2yizynim4

29th Annual Computational Neuroscience Meeting: CNS*2020

2020 BMC Neuroscience  
by visual experience, and (iii) how patterns of neural activity in the zebrafish brain develop to facilitate precisely targeted hunting behaviour.  ...  Investigations of this question have, to date, focused largely on deep neural networks trained using supervised learning, in tasks such as image classification.  ...  Acknowledgments: The research reported here was supported, in part, by NSF grant #1544383 and in part by AFOSR grant #FA9550-16-1-0410.  ... 
doi:10.1186/s12868-020-00593-1 pmid:33342424 fatcat:edosycf35zfifm552a2aogis7a

Foundations for Understanding and Building Conscious Systems using Stable Parallel Looped Dynamics [article]

Muralidhar Ravuri
2011 arXiv   pre-print
The relationships between everyday events are now built using relationships between fixed sets, until our brain creates a unique dynamical state called the self-sustaining threshold 'membrane' of fixed  ...  A synthetic system built to satisfy this equivalent self-sustaining membrane condition appears indistinguishable from human consciousness.  ...  Acknowledgements I thank my wife Sridevi Ravuri for over ten years of discussions, comments and for the emotional support.  ... 
arXiv:1102.3680v2 fatcat:fw47klnpybdg3miro7ylnikos4

25th Annual Computational Neuroscience Meeting: CNS-2016

Tatyana O. Sharpee, Alain Destexhe, Mitsuo Kawato, Vladislav Sekulić, Frances K. Skinner, Daniel K. Wójcik, Chaitanya Chintaluri, Dorottya Cserpán, Zoltán Somogyvári, Jae Kyoung Kim, Zachary P. Kilpatrick, Matthew R. Bennett (+597 others)
2016 BMC Neuroscience  
I will discuss theoretical results that point to functional advantages of splitting neural populations into subtypes, both in feedforward and recurrent networks.  ...  Part of this complexity is related to the number of different cell types that work together to encode stimuli.  ...  Acknowledgements: The work of JB, RG, and SMC was supported in part by R01MH1006674 from the National Institutes of Health.  ... 
doi:10.1186/s12868-016-0283-6 pmid:27534393 pmcid:PMC5001212 fatcat:bt45etzj2bbolfcxlxo7hlv6ju

30th Annual Computational Neuroscience Meeting: CNS*2021–Meeting Abstracts

2021 Journal of Computational Neuroscience  
One of the goals of neuroscience is to understand the computational principles that describe the formation of behaviorally relevant signals in the brain, as well as how these computations are realized  ...  within the constraints of biological networks.  ...  Programme for Research and Innovation under the Specific Grant Agreement No. 945539 (Human Brain Project SGA3) and No. 785907 (Human Brain Project SGA2).  ... 
doi:10.1007/s10827-021-00801-9 pmid:34931275 pmcid:PMC8687879 fatcat:evpmmfpaivgpxdqpive5xdgmwu

Brain State Is a Major Factor in Preseizure Hippocampal Network Activity and Influences Success of Seizure Intervention

Laura A. Ewell, Liang Liang, Caren Armstrong, Ivan Soltész, Stefan Leutgeb, Jill K. Leutgeb
2015 Journal of Neuroscience  
In healthy animals, hippocampal network activity is shaped by behavioral brain state and, in epilepsy, seizures selectively emerge during specific brain states.  ...  To determine the degree to which changes in network dynamics before seizure are pathological or reflect ongoing fluctuations in brain state, dorsal hippocampal neurons were recorded during spontaneous  ...  However, our results suggest that a careful analysis of the associated changes in brain state is critical to distinguish correctly pathological network activity from standard changes in network state in  ... 
doi:10.1523/jneurosci.5112-14.2015 pmid:26609157 pmcid:PMC4659826 fatcat:j35ud2uu6jbgtgeejnhxipoov4

Letting the Brain Speak for Itself

Gerhard Werner
2011 Frontiers in Physiology  
Metaphors of Computation and Information tended to detract attention from the intrinsic modes of neural system functions, uncontaminated by the observer's role in collection, and interpretation of experimental  ...  Recognizing the self-referential mode of function, and the propensity for self-organization to critical states requires a fundamentally new orientation, based on Complex System Dynamics as non-ergodic,  ...  : there, the critical state is evident as long-range correlation links in scale-free networks, with the same characteristic features that are observed with functional magnetic imaging in brains (Fraiman  ... 
doi:10.3389/fphys.2011.00060 pmid:21960973 pmcid:PMC3178033 fatcat:xhbmd5v3a5gqdeiwcs2wii2wdm

Individual Stable Patterns of Human Brain Rhythms as a Reflection of Mental Processes

G.A. Ivanitsky
2019 Sovremennye tehnologii v medicine  
Later it was found that the arising patterns of brain rhythms were not only different for different types of cognitive tasks but also interrelated with each other in the way similar to the inter-relations  ...  on a subject) by analyzing the EEG spectra and using an artificial neural network.  ...  The group of scientists  ... 
doi:10.17691/stm2019.11.1.14 fatcat:deocidbdrndarci6aclkqputiq

27th Annual Computational Neuroscience Meeting (CNS*2018): Part One

2018 BMC Neuroscience  
Alliance through the Initiative and Networking Fund of the Helmholtz Association and the Helmholtz Portfolio theme "Supercomputing and Modeling for the Human Brain" and the European Union Seventh Framework  ...  Acknowledgements We acknowledge the Initiative and Networking Fund of the Helmholtz Association, the Helmholtz Association through the Helmholtz Portfolio Theme"Supercomputing and Modeling for the Human  ...  Scale invariance has been observed also across species from invertebrates to fish, birds, and mammals, such as mice, rats, and humans.  ... 
doi:10.1186/s12868-018-0452-x pmid:30373544 pmcid:PMC6205781 fatcat:xv7pgbp76zbdfksl545xof2vzy

Spatiotemporal control of mitochondrial network dynamics in astroglial cells

Jana Göbel, Elisa Motori, Matteo Bergami
2018 Biochemical and Biophysical Research Communications - BBRC  
fundamental functions in astrocytes both under resting conditions and in response to injury.  ...  mitochondria both under basal conditions and following induced stimulation in a Ca 2+ -dependent manner [44, 66] .  ...  Conflict of interest No potential conflicts of interest were disclosed.  ... 
doi:10.1016/j.bbrc.2017.06.191 pmid:28676398 fatcat:jps5a4yakveltmnhm7trm7hlae

26th Annual Computational Neuroscience Meeting (CNS*2017): Part 1

Sue Denham, Panayiota Poirazi, Erik De Schutter, Karl Friston, Ho Ka Chan, Thomas Nowotny, Dongqi Han, Sungho Hong, Sophie Rosay, Tanja Wernle, Alessandro Treves, Sarah Goethals (+90 others)
2017 BMC Neuroscience  
The KnowledgeSpace also represents an important component of the Neuroinformatics Platform being deployed in the Human Brain Project web portal.  ...  To study changes in oscillation patterns with learning, we modeled brain processing using a directed random network of phase-coupled oscillators interacting according to the Kuramoto model [1].  ...  rearrangement of synaptic weights, studying the evolution of connectivity with stimulation history.  ... 
doi:10.1186/s12868-017-0370-3 fatcat:qq2cmqlotbg7vpqlqmmcql4u5i

26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3

Adam J. H. Newton, Alexandra H. Seidenstein, Robert A. McDougal, Alberto Pérez-Cervera, Gemma Huguet, Tere M-Seara, Caroline Haimerl, David Angulo-Garcia, Alessandro Torcini, Rosa Cossart, Arnaud Malvache, Kaoutar Skiker (+526 others)
2017 BMC Neuroscience  
The KnowledgeSpace also represents an important component of the Neuroinformatics Platform being deployed in the Human Brain Project web portal.  ...  To study changes in oscillation patterns with learning, we modeled brain processing using a directed random network of phase-coupled oscillators interacting according to the Kuramoto model [1].  ...  rearrangement of synaptic weights, studying the evolution of connectivity with stimulation history.  ... 
doi:10.1186/s12868-017-0372-1 fatcat:q5x3vgivujgshmtthc6ki4fcfu

Optimization of Energy State Transition Trajectory Supports the Development of Executive Function During Youth [article]

Zaixu Cui, Jennifer Stiso, Graham L. Baum, Jason Z. Kim, David R. Roalf, Richard F. Betzel, Shi Gu, Zhixin Lu, Cedric H. Xia, Rastko Ciric, Tyler M. Moore, Russell T. Shinohara (+7 others)
2018 bioRxiv   pre-print
In a sample of 946 human youths (ages 8-23 yr) who completed diffusion imaging as part of the Philadelphia Neurodevelopment Cohort, we capitalized upon recent advances in network control theory in order  ...  Here, we leverage recent advances in network control theory to establish that structural brain networks evolve in adolescence to lower the energetic cost of activating the frontoparietal system.  ...  Hermundstad AM, et al. (2013) Structural foundations of resting-state and task-based functional connectivity in the human brain. Proc Natl Acad Sci U S A 110(15):6169-6174. 20.  ... 
doi:10.1101/424929 fatcat:rzc5syztlbatdbrleqxbd53xhi
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