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Scale-invariant rearrangement of resting state networks in the human brain under sustained stimulation
2018
NeuroImage
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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
2020
Journal of Personalized Medicine
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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
2018
Reviews of Modern Physics
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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
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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]
2011
arXiv
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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
2016
BMC Neuroscience
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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
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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
2015
Journal of Neuroscience
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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
2011
Frontiers in Physiology
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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
2019
Sovremennye tehnologii v medicine
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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
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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
2018
Biochemical and Biophysical Research Communications - BBRC
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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
2017
BMC Neuroscience
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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
2017
BMC Neuroscience
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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]
2018
bioRxiv
pre-print
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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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