Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Andrea Avena-Koenigsberger"'
Publikováno v:
Network Neuroscience, Vol 4, Iss 4, Pp 976-979 (2020)
AbstractCommunication models describe the flow of signals among nodes of a network. In neural systems, communication models are increasingly applied to investigate network dynamics across the whole brain, with the ultimate aim to understand how signa
Externí odkaz:
https://doaj.org/article/b8f1eb7100094b1cba9cd2a69cfb26bf
Autor:
Attila Csoma, Attila Kőrösi, Gábor Rétvári, Zalán Heszberger, József Bíró, Mariann Slíz, Andrea Avena-Koenigsberger, Alessandra Griffa, Patric Hagmann, András Gulyás
Publikováno v:
Scientific Reports, Vol 7, Iss 1, Pp 1-7 (2017)
Abstract The last two decades of network science have discovered stunning similarities in the topological characteristics of real life networks (many biological, social, transportation and organizational networks) on a strong empirical basis. However
Externí odkaz:
https://doaj.org/article/5f2d5e151c914d93960d7b56727eea38
Autor:
Andrea Avena-Koenigsberger, Xiaoran Yan, Artemy Kolchinsky, Martijn P van den Heuvel, Patric Hagmann, Olaf Sporns
Publikováno v:
PLoS Computational Biology, Vol 15, Iss 3, p e1006833 (2019)
Communication of signals among nodes in a complex network poses fundamental problems of efficiency and cost. Routing of messages along shortest paths requires global information about the topology, while spreading by diffusion, which operates accordi
Externí odkaz:
https://doaj.org/article/3da7f61dcb75406c8eedf61fdff67ffb
Autor:
Joey A. Contreras, Andrea Avena-Koenigsberger, Shannon L. Risacher, John D. West, Eileen Tallman, Brenna C. McDonald, Martin R. Farlow, Liana G. Apostolova, Joaquín Goñi, Mario Dzemidzic, Yu-Chien Wu, Daniel Kessler, Lucas Jeub, Santo Fortunato, Andrew J. Saykin, Olaf Sporns
Publikováno v:
NeuroImage: Clinical, Vol 22, Iss , Pp - (2019)
Alzheimer's disease is considered a disconnection syndrome, motivating the use of brain network measures to detect changes in whole-brain resting state functional connectivity (FC). We investigated changes in FC within and among resting state network
Externí odkaz:
https://doaj.org/article/344e3795dbed4b25886c116e42330129
Autor:
Joaquín Goñi, Andrea Avena-Koenigsberger, Nieves Velez de Mendizabal, Martijn P van den Heuvel, Richard F Betzel, Olaf Sporns
Publikováno v:
PLoS ONE, Vol 8, Iss 3, p e58070 (2013)
Graph theoretical analysis has played a key role in characterizing global features of the topology of complex networks, describing diverse systems such as protein interactions, food webs, social relations and brain connectivity. How system elements c
Externí odkaz:
https://doaj.org/article/1841b5d9cf07421d9e5518715a6751ad
Autor:
Olaf Sporns, Colleen Hughes, Andrea Avena-Koenigsberger, Joshua Faskowitz, Brittany S. Cassidy, Anne C. Krendl
Publikováno v:
Neuroimage
Theory of mind (i.e., the ability to infer others’ mental states) – a fundamental social cognitive ability – declines with increasing age. Prior investigations have focused on identifying task-evoked differences in neural activation that underl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9040dc5be9a49d23e7db30b6bad40577
https://doi.org/10.1016/j.neuroimage.2019.02.024
https://doi.org/10.1016/j.neuroimage.2019.02.024
Publikováno v:
Network Neuroscience
Network Neuroscience, Vol 4, Iss 4, Pp 976-979 (2020)
Network Neuroscience, Vol 4, Iss 4, Pp 976-979 (2020)
Communication models describe the flow of signals among nodes of a network. In neural systems, communication models are increasingly applied to investigate network dynamics across the whole brain, with the ultimate aim to understand how signal flow g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e30baf63a0a46ecf8a7385ba080e25b9
https://pubmed.ncbi.nlm.nih.gov/33195944
https://pubmed.ncbi.nlm.nih.gov/33195944
Autor:
Soichi Hayashi, Raymond W. Perigo, Michael D. Young, Meenakshisundaram Paramasivam, John D. West, Arvind Gopu, Robert Henschel, Andrea Avena Koenigsberger
Publikováno v:
Medical Imaging 2020: Imaging Informatics for Healthcare, Research, and Applications.
Medical imaging, a key component in clinical diagnosis of and research on numerous medical conditions, is very costly and can generate massive datasets. For instance, a single scanned subject produces hundreds of thousands of images and millions of k
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1fbb210ba20d0dc9827bf3cad1f0bc6f
https://doi.org/10.1117/12.2549722
https://doi.org/10.1117/12.2549722
Publikováno v:
ICNSC
We propose a information theoretical framework to capture transition and information costs of network navigation models. Based on the minimum description length principle and the Markov decision process, we demonstrate that efficient global navigatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d8b74758bc036cfb602d26a8b78354e2
http://arxiv.org/abs/2001.02274
http://arxiv.org/abs/2001.02274
Publikováno v:
Nature Reviews Neuroscience. 19:17-33
Neuronal signalling and communication underpin virtually all aspects of brain activity and function. Network science approaches to modelling and analysing the dynamics of communication on networks have proved useful for simulating functional brain co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e92799438280f43ad7e2631130c10cb
https://doi.org/10.1038/nrn.2017.149
https://doi.org/10.1038/nrn.2017.149