Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Kevin M. Aquino"'
Publikováno v:
Frontiers in Human Neuroscience, Vol 16 (2022)
Neuroscience has had access to high-resolution recordings of large-scale cortical activity and structure for decades, but still lacks a generally adopted basis to analyze and interrelate results from different individuals and experiments. Here it is
Externí odkaz:
https://doaj.org/article/1fd447b8b0604157b2be5ca7831c5d7b
Publikováno v:
Neuroimage: Reports, Vol 2, Iss 3, Pp 100103- (2022)
Neural field theories successfully describe normal, awake mesoscale to macroscale brain activity using linearized partial differential equations that involve a Laplacian operator. These neural field theories therefore predict spatial brain activity p
Externí odkaz:
https://doaj.org/article/4749cb9380f44c2e900da98874986226
Autor:
Kevin M. Aquino, Ben Fulcher, Stuart Oldham, Linden Parkes, Leonardo Gollo, Gustavo Deco, Alex Fornito
Publikováno v:
NeuroImage, Vol 256, Iss , Pp 119051- (2022)
Large-scale dynamics of the brain are routinely modelled using systems of nonlinear dynamical equations that describe the evolution of population-level activity, with distinct neural populations often coupled according to an empirically measured stru
Externí odkaz:
https://doaj.org/article/d9b5664168d748858818f44a7fd36897
Autor:
Peter A. Robinson, James A. Henderson, Natasha C. Gabay, Kevin M. Aquino, Tara Babaie-Janvier, Xiao Gao
Publikováno v:
Frontiers in Human Neuroscience, Vol 15 (2021)
Spectral analysis based on neural field theory is used to analyze dynamic connectivity via methods based on the physical eigenmodes that are the building blocks of brain dynamics. These approaches integrate over space instead of averaging over time a
Externí odkaz:
https://doaj.org/article/49dd55b02435487082ca62d12e4625a8
Publikováno v:
NeuroImage, Vol 212, Iss , Pp 116614- (2020)
One of the most controversial procedures in the analysis of resting-state functional magnetic resonance imaging (rsfMRI) data is global signal regression (GSR): the removal, via linear regression, of the mean signal averaged over the entire brain. On
Externí odkaz:
https://doaj.org/article/d6d9dbff90884e85946cc4a4887d1f53
Autor:
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, Romain Brette, Tomas Van Pottelbergh, Rodolphe Sepulchre, Alex D. Bird, Hermann Cuntz, Pedro J. Gonçalves, Jan-Matthis Lueckmann, Giacomo Bassetto, Marcel Nonnenmacher, Jakob H. Macke, Audrey J. Sederberg, Jason N. MacLean, Stephanie E. Palmer, Ulisse Ferrari, Christophe Gardella, Olivier Marre, Thierry Mora, Emina Ibrahimovic, Martin Müller, Jean-Pascal Pfister, Tushar Chauhan, Timothée Masquelier, Alexandre Montlibert, Benoit R. Cottereau, Moritz Helias, Jannis Schuecker, David Dahmen, Sven Goedeke, Alexandre Hyafil, Ainhoa Hermoso-Mendizabal, Pavel E. Rueda-Orozco, Santiago Jaramillo, David Robbe, Jaime de la Rocha, Marie Rooy, Fani Koukouli, David DiGregorio, Uwe Maskos, Boris Gutkin, Andrey Yu Verisokin, Darya V. Verveyko, Dmitry E. Postnov, Willy Wong, Omid Talakoub, Robert Chen, Milos Popovic, Dmitriy Lisitsyn, Eric Drebitz, Iris Grothe, Sunita Mandon, Andreas Kreiter, Udo Ernst, Peter A. Robinson, Xuelong Zhao, Kevin M. Aquino, John D. Griffiths, Grishma Mehta-Pandejee, Natasha Gabay, James MacLaurin, Somwrita Sarkar, Tim Kunze, Jens Haueisen, Thomas R. Knösche, Subutai Ahmad, Yuwei Cui, Marcus Lewis, Jeff Hawkins, Simona Olmi, Spase Petkoski, Fabrice Bartolomei, Maxime Guye, Viktor Jirsa, Hazem Toutounji, Daniel Durstewitz, Matteo Cantarelli, Adrian Quintana, Boris Marin, Matt Earnshaw, Padraig Gleeson, Robert Court, Robert McDougal, R. Angus Silver, Salvador Dura-Bernal, Stephen Larson, William W. Lytton, Giovanni Idili, Lorenzo Posani, Simona Cocco, Karel Ježek, Rémi Monasson
Publikováno v:
BMC Neuroscience, Vol 18, Iss S1, Pp 1-14 (2017)
Externí odkaz:
https://doaj.org/article/bd330ab82bcf4be09169d9b39d1bfad7
Autor:
James C. Pang, Kevin M. Aquino, Marianne Oldehinkel, Peter A. Robinson, Ben D. Fulcher, Michael Breakspear, Alex Fornito
Publikováno v:
Nature, 618, 566-574
Nature, 618, 7965, pp. 566-574
Nature, 618, 7965, pp. 566-574
Contains fulltext : 293762.pdf (Publisher’s version ) (Open Access) The anatomy of the brain necessarily constrains its function, but precisely how remains unclear. The classical and dominant paradigm in neuroscience is that neuronal dynamics are d
Autor:
Alexander Holmes, Priscila T. Levi, Yu-Chi Chen, Sidhant Chopra, Kevin M. Aquino, James C. Pang, Alex Fornito
BackgroundThe cerebral cortex is organised hierarchically along an axis that spans unimodal sensorimotor to transmodal association areas. This hierarchy is often characterised using low-dimensional embeddings, termed gradients, of inter-regional func
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::918d89c658b90b7d5a6b379508aa8e41
https://doi.org/10.1101/2023.05.02.23289376
https://doi.org/10.1101/2023.05.02.23289376
Autor:
Yu-Chi Chen, Jeggan Tiego, Ashlea Segal, Sidhant Chopra, Alexander Holmes, Chao Suo, James C. Pang, Alex Fornito, Kevin M. Aquino
BackgroundPsychosis has often been linked to abnormal cortical asymmetry, but prior results have been inconsistent. Here, we applied a novel spectral shape analysis to characterize cortical shape asymmetries in patients with early psychosis across di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b7a2fefdfa076b6d78b6976b6333fd1e
https://doi.org/10.1101/2023.04.29.23289297
https://doi.org/10.1101/2023.04.29.23289297
Autor:
Trang Cao, James C. Pang, Ashlea Segal, Yu-Chi Chen, Kevin M. Aquino, Michael Breakspear, Alex Fornito
Voxel-based morphometry (VBM) and surface-based morphometry (SBM) are two widely used neuroimaging techniques for investigating brain anatomy. These techniques rely on statistical inferences at individual points (voxels or vertices), clusters of poin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::88a7f1a21666a7d70e0131f94bcd5d79
https://doi.org/10.1101/2023.02.26.529328
https://doi.org/10.1101/2023.02.26.529328