Results 11 to 20 of about 1,563,994 (267)
Entropy in Brain Networks [PDF]
Entropy, 2021 A thorough and comprehensive understanding of the human brain ultimately depends on knowledge of large-scale brain organization[...]
Jesús Poza +2 more
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Multilayer Brain Networks [PDF]
Journal of Nonlinear Science, 2018 The field of neuroscience is facing an unprecedented expanse in the volume and diversity of available data. Traditionally, network models have provided key insights into the structure and function of the brain. With the advent of big data in neuroscience, both more sophisticated models capable of characterizing the increasing complexity of the data and
Michael Vaiana, Sarah Feldt Muldoon
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Annual Review of Psychology, 2016 The development of new technologies for mapping structural and functional brain connectivity has led to the creation of comprehensive network maps of neuronal circuits and systems. The architecture of these brain networks can be examined and analyzed with a large variety of graph theory tools. Methods for detecting modules, or network communities, are
Olaf, Sporns, Richard F, Betzel
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Topological learning for brain networks [PDF]
The Annals of Applied Statistics, 2020 AbstractThis paper proposes a novel topological learning framework that can integrate networks of different sizes and topology through persistent homology. This is possible through the introduction of a new topological loss function that enables such challenging task. The use of the proposed loss function bypasses the intrinsic computational bottleneck
Songdechakraiwut, Tananun, Chung, Moo K.
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Hodge Laplacian of Brain Networks
IEEE Transactions on Medical Imaging, 2023 The closed loops or cycles in a brain network embeds higher order signal transmission paths, which provide fundamental insights into the functioning of the brain. In this work, we propose an efficient algorithm for systematic identification and modeling of cycles using persistent homology and the Hodge Laplacian.
D. Vijay Anand, Moo K. Chung
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Navigation of brain networks [PDF]
Proceedings of the National Academy of Sciences, 2018 Significance We show that the combination of topology and geometry in mammalian cortical networks allows for near-optimal decentralized communication under navigation routing. Following a simple propagation rule based on local knowledge of the distance between cortical regions, we demonstrate that brain networks can be successfully navigated ...
Seguin, C +2 more
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Essential tremor amplitude modulation by median nerve stimulation
Scientific Reports, 2021 Essential tremor is a common neurological disorder, characterised by involuntary shaking of a limb. Patients are usually treated using medications which have limited effects on tremor and may cause side-effects.
Carolina Reis +4 more
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Resolving structural variability in network models and the brain [PDF]
, 2013 Large-scale white matter pathways crisscrossing the cortex create a complex pattern of connectivity that underlies human cognitive function. Generative mechanisms for this architecture have been difficult to identify in part because little is known about
Bassett, Danielle S +4 more
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npj Parkinson's Disease, 2023 In patients with Parkinson’s disease (PD), suppression of beta and increase in gamma oscillations in the subthalamic nucleus (STN) have been associated with both levodopa treatment and motor functions.
Flavie Torrecillos +3 more
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The envirome and the connectome: exploring the structural noise in the human brain associated with socioeconomic deprivation [PDF]
, 2013 Complex cognitive functions are widely recognized to be the result of a number of brain regions working together as large-scale networks. Recently, complex network analysis has been used to characterize various structural properties of the large scale ...
Batty, D. +7 more
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