Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Nicholas F Wymbs"'
Autor:
Petko Bogdanov, Nazli Dereli, Xuan-Hong Dang, Danielle S Bassett, Nicholas F Wymbs, Scott T Grafton, Ambuj K Singh
Publikováno v:
PLoS ONE, Vol 12, Iss 10, p e0184344 (2017)
Modeling the brain as a functional network can reveal the relationship between distributed neurophysiological processes and functional interactions between brain structures. Existing literature on functional brain networks focuses mainly on a battery
Externí odkaz:
https://doaj.org/article/2663950e2d82477bbb2c6b14c14dd855
Autor:
Danielle S Bassett, Nicholas F Wymbs, M Puck Rombach, Mason A Porter, Peter J Mucha, Scott T Grafton
Publikováno v:
PLoS Computational Biology, Vol 9, Iss 9, p e1003171 (2013)
As a person learns a new skill, distinct synapses, brain regions, and circuits are engaged and change over time. In this paper, we develop methods to examine patterns of correlated activity across a large set of brain regions. Our goal is to identify
Externí odkaz:
https://doaj.org/article/9d2226d25df84d7ca963e2b76d6511da
Publikováno v:
Cereb Cortex
Children with autism spectrum disorder (ASD) have difficulties perceiving and producing skilled gestures, or praxis. The inferior parietal lobule (IPL) is crucial to praxis acquisition and expression, yet how IPL connectivity contributes to autism-as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e376f4c4b2759760d25e9af6a3f2b6e9
https://doi.org/10.1093/cercor/bhaa380
https://doi.org/10.1093/cercor/bhaa380
Autor:
Linda R. Petzold, Nina Lauharatanahirun, Brian Mitchell, Nicholas F. Wymbs, Scott T. Grafton, Javier O. Garcia, Jean M. Vettel
Publikováno v:
Neural computation, vol 31, iss 10
Even highly trained behaviors demonstrate variability, which is correlated with performance on current and future tasks. An objective of motor learning that is general enough to explain these phenomena has not been precisely formulated. In this six-w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bcdf5c98db16772dada27e58b973ccbf
https://doi.org/10.1162/neco_a_01219
https://doi.org/10.1162/neco_a_01219
Autor:
Stewart H. Mostofsky, Deana Crocetti, Mary Beth Nebel, Nicholas F. Wymbs, Joshua Robinson, Niharika Shimona D'Souza, Archana Venkataraman
Publikováno v:
NeuroImage
NeuroImage, Vol 241, Iss, Pp 118388-(2021)
NeuroImage, Vol 241, Iss, Pp 118388-(2021)
We propose a novel integrated framework that jointly models complementary information from resting-state functional MRI (rs-fMRI) connectivity and diffusion tensor imaging (DTI) tractography to extract biomarkers of brain connectivity predictive of b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8279fe4b35047bfae0433b1df1de1823
Autor:
Archana Venkataraman, Niharika Shimona D'Souza, Stewart H. Mostofsky, Mary Beth Nebel, Nicholas F. Wymbs
Publikováno v:
Neuroimage
NeuroImage, Vol 206, Iss, Pp 116314-(2020)
NeuroImage, Vol 206, Iss, Pp 116314-(2020)
We propose a novel optimization framework to predict clinical severity from resting state fMRI (rs-fMRI) data. Our model consists of two coupled terms. The first term decomposes the correlation matrices into a sparse set of representative subnetworks
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c918193abff0977c204e9061db9a57d7
Autor:
Stewart H. Mostofsky, Archana Venkataraman, Mary Beth Nebel, Deana Crocetti, Nicholas F. Wymbs, Niharika Shimona D'Souza, Joshua Robinson
Publikováno v:
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 ISBN: 9783030597276
MICCAI (7)
MICCAI (7)
We propose an integrated deep-generative framework, that jointly models complementary information from resting-state functional MRI (rs-fMRI) connectivity and diffusion tensor imaging (DTI) tractography to extract predictive biomarkers of a disease.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::13c8188a239ee10ff9cba2ea306b4a3f
https://doi.org/10.1007/978-3-030-59728-3_43
https://doi.org/10.1007/978-3-030-59728-3_43
Autor:
Scott T. Grafton, Marcelo G. Mattar, Andrew Murphy, Danielle S. Bassett, Pranav G. Reddy, Nicholas F. Wymbs, Theodore D. Satterthwaite
Publikováno v:
NeuroImage
Learning requires the traversal of inherently distinct cognitive states to produce behavioral adaptation. Yet, tools to explicitly measure these states with non-invasive imaging -- and to assess their dynamics during learning -- remain limited. Here,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fcfc01b754073f6e1366c54e1892420b
https://doi.org/10.1016/j.neuroimage.2017.12.093
https://doi.org/10.1016/j.neuroimage.2017.12.093
Autor:
Scott T. Grafton, Danielle S. Bassett, Ankit N. Khambhati, Marcelo G. Mattar, Nicholas F. Wymbs
Publikováno v:
NeuroImage. 166:385-399
The human brain is in constant flux, as distinct areas engage in transient communication to support basic behaviors as well as complex cognition. The collection of interactions between cortical and subcortical areas forms a functional brain network w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::29cabe4007026913dd6ee5700a7ecca2
https://doi.org/10.1016/j.neuroimage.2017.11.015
https://doi.org/10.1016/j.neuroimage.2017.11.015
Autor:
Qawi K. Telesford, Nicholas F. Wymbs, Jean M. Vettel, Danielle S. Bassett, Scott T. Grafton, Arian Ashourvan
Publikováno v:
Human Brain Mapping
Human behavior is supported by flexible neurophysiological processes that enable the fine‐scale manipulation of information across distributed neural circuits. Yet, approaches for understanding the dynamics of these circuit interactions have been l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::29bab092c7ca7a0f690d1091b94a54a4
https://doi.org/10.1002/hbm.23699
https://doi.org/10.1002/hbm.23699