Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Deirel Paz Linares"'
Autor:
Anisleidy González Mitjans, Deirel Paz Linares, Carlos López Naranjo, Ariosky Areces Gonzalez, Min Li, Ying Wang, Ronaldo Garcia Reyes, Maria L. Bringas-Vega, Ludovico Minati, Alan C. Evans, Pedro A. Valdes-Sosa
Publikováno v:
NeuroImage, Vol 274, Iss , Pp 120137- (2023)
This paper introduces methods and a novel toolbox that efficiently integrates high-dimensional Neural Mass Models (NMMs) specified by two essential components. The first is the set of nonlinear Random Differential Equations (RDEs) of the dynamics of
Externí odkaz:
https://doaj.org/article/7923c2c9d91241ef8d4a007f4f7d207f
Autor:
Maria L. Bringas Vega, Yanbo Guo, Qin Tang, Fuleah A. Razzaq, Ana Calzada Reyes, Peng Ren, Deirel Paz Linares, Lidice Galan Garcia, Arielle G. Rabinowitz, Janina R. Galler, Jorge Bosch-Bayard, Pedro A. Valdes Sosa
Publikováno v:
Frontiers in Neuroscience, Vol 13 (2019)
We have identified an electroencephalographic (EEG) based statistical classifier that correctly distinguishes children with histories of Protein Energy Malnutrition (PEM) in the first year of life from healthy controls with 0.82% accuracy (area under
Externí odkaz:
https://doaj.org/article/d82d53de192a45b48cc0e6e27b444c68
Autor:
Mauricio González-López, Eduardo Gonzalez-Moreira, Ariosky Areces-González, Deirel Paz-Linares, Thalía Fernández
Publikováno v:
Frontiers in Neurology, Vol 13 (2022)
IntroductionAge is the main risk factor for the development of neurocognitive disorders, with Alzheimer's disease being the most common. Its physiopathological features may develop decades before the onset of clinical symptoms. Quantitative electroen
Externí odkaz:
https://doaj.org/article/2f1af2aa4ad541c0bc8826ecb4aea752
Autor:
Min Li, Ying Wang, Carlos Lopez-Naranjo, Shiang Hu, Ronaldo César García Reyes, Deirel Paz-Linares, Ariosky Areces-Gonzalez, Aini Ismafairus Abd Hamid, Alan C. Evans, Alexander N. Savostyanov, Ana Calzada-Reyes, Arno Villringer, Carlos A. Tobon-Quintero, Daysi Garcia-Agustin, Dezhong Yao, Li Dong, Eduardo Aubert-Vazquez, Faruque Reza, Fuleah Abdul Razzaq, Hazim Omar, Jafri Malin Abdullah, Janina R. Galler, John F. Ochoa-Gomez, Leslie S. Prichep, Lidice Galan-Garcia, Lilia Morales-Chacon, Mitchell J. Valdes-Sosa, Marius Tröndle, Mohd Faizal Mohd Zulkifly, Muhammad Riddha Bin Abdul Rahman, Natalya S. Milakhina, Nicolas Langer, Pavel Rudych, Thomas Koenig, Trinidad A. Virues-Alba, Xu Lei, Maria L. Bringas-Vega, Jorge F. Bosch-Bayard, Pedro Antonio Valdes-Sosa
Publikováno v:
NeuroImage, Vol 256, Iss , Pp 119190- (2022)
This paper extends frequency domain quantitative electroencephalography (qEEG) methods pursuing higher sensitivity to detect Brain Developmental Disorders. Prior qEEG work lacked integration of cross-spectral information omitting important functional
Externí odkaz:
https://doaj.org/article/b104c9ced51e4e139aaadb4579e05f0a
Autor:
Pedro Valdés-Sosa, Jorge Bosch-Bayard, Maria L Bringas-Vega, Michael Y. Kpiebaareh, Ying Wang, Min Li, Usama Riaz, Deirel Paz-Linares, Ariosky Areces Gonzalez
Extracting cortical features, which are the most relevant at characterizing structure and function for normal or abnormal brain conditions, would greatly benefit from multimodal neuroimage processing following the surface-based style. This style reco
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2123f2c01f9363c8d5873bb3ab787c83
https://doi.org/10.36227/techrxiv.22276549.v1
https://doi.org/10.36227/techrxiv.22276549.v1
Autor:
Deirel Paz-Linares, Eduardo Gonzalez-Moreira, Ariosky Areces-Gonzalez, Ying Wang, Min Li, Mayrim Vega-Hernandez, Qing Wang, Jorge Bosch-Bayard, Maria L. Bringas-Vega, Eduardo Martinez-Montes, Mitchel J. Valdes-Sosa, Pedro A. Valdes-Sosa
Publikováno v:
Frontiers in Neuroscience. 17
Oscillatory processes at all spatial scales and on all frequencies underpin brain function. Electrophysiological Source Imaging (ESI) is the data-driven brain imaging modality that provides the inverse solutions to the source processes of the EEG, ME
Autor:
Usama Riaz, Fuleah A Razzaq, Ariosky Areces-Gonzalez, Maria Carla Piastra, Maria L. Bringas Vega, Deirel Paz-Linares, Pedro A. Valdés-Sosa
Publikováno v:
NeuroImage. 273:120091
Autor:
Pedro Valdés-Sosa, Mitchell Valdés-Sosa, Maria L Bringas-Vega, Eduardo Martínez-Montes, Min Li, Ying Wang, Ariosky Areces Gonzalez, Eduardo Gonzalez-Moreira, Deirel Paz-Linares
Identifying the connectivity of functional networks underpinning undirectly observed phenomena for neurosciences or other fields poses a Bayesian inverse-problem. Electromagnetic (EEG or MEG) inverse-solutions unveil the cortical oscillatory networks
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0af427ddbe494dbdc4a2ddb6625f949e
https://doi.org/10.36227/techrxiv.20254563.v1
https://doi.org/10.36227/techrxiv.20254563.v1
Autor:
Armin Raznahan, Eric Courchesne, Andrea Parolin Jackowski, Kamen A. Tsvetanov, Cameron T. Ellis, R.C. Gur, Bin Bae J, Park Mtm, Pedro A. Valdes-Sosa, Simon N. Vandekar, Jacob W. Vogel, Juan Zhou, Machteld Marcelis, Kiho Im, Patricia Ellen Grant, Minhui Ouyang, Blesa Cabez M, Michael V. Lombardo, Sarah E. Morgan, James P. Boardman, Adamson C, Calhoun Vd, Delarue M, James H. Cole, Pichet Binette A, Roberto Toro, David H. Rowitch, Nynke A. Groenewold, Kevin M. Anderson, David T.W. Jones, Michael Schöll, Wang Ys, Aiden Corvin, R.E. Gur, Damien A. Fair, Gareth Ball, Herma Lina Schaare, Andrew Zalesky, Evdokia Anagnostou, Michael J. Meaney, Taki Y, Gareth J. Sullivan, Warrier, Petra E. Vértes, Chixiang Chen, Lisa T. Eyler, Wei Liao, Tomáš Paus, Jeremy A. Elman, Phillip McGuire, Hisham Ziauddeen, William S. Kremen, Etienne Vachon-Presseau, E.T. Bullmore, Christophe Tzourio, White, Hammill Cf, Mothersill D, Richard N. Henson, Jiang Qiu, Duncan E. Astle, Fabrice Crivello, Paul C. Fletcher, Chertavian C, Kim K, Jennifer Crosbie, Russell Schachar, Gabriel A. Devenyi, Manfred G. Kitzbichler, Tianye Jia, Trey Hedden, Sang Jae Lee, Ross D. Markello, Silke Kern, Ian M. Goodyer, Keith A. Johnson, Frauke Beyer, Bernard Mazoyer, A. Heinz, Sylvane Desrivières, Rosenberg, Gary Donohoe, Ong Mq, Alexander D. Edwards, Dan J. Stein, Nenad Medic, Zuo Xn, Travis T. Mallard, Peter Fonagy, Lindsay W. Victoria, Ingmar Skoog, Avram J. Holmes, Jason P. Lerch, Jed T. Elison, Jianfu Li, John H. Gilmore, Rosemary Holt, Caitlin K. Rollins, Carol E. Franz, Pedro Mario Pan, Saashi A Bedford, Yang N, Jonathan C Ipser, Richard A. I. Bethlehem, Tuulari Jj, Stolicyn A, Hua Huang, Bratislav Misic, Conor Liston, Ayub M, Lisa Ronan, Yeo Bt, Sophie Adler, Charles J. Lynch, Faith M. Gunning, Konrad Wagstyl, M. Mallar Chakravarty, John Suckling, Theodore D. Satterthwaite, Bharath Holla, Yap Seng Chong, Jinglei Lv, Jakob Seidlitz, Niall J Bourke, Xinlei Qian, Simon Baron-Cohen, Cynthia M. Ortinau, Deirel Paz Linares, Thyreau B, René S. Kahn, Aaron P. Schultz, Vanessa Cropley, Eric Westman, Mitchell Valdés-Sosa, Rik Ossenkoppele, André Zugman, Hasse Karlsson, Sylvia Villeneuve, Katja Heuer, Di Biase Ma, Margaret L. Westwater, Sofie L. Valk, David J. Sharp, Brigitte Landeau, Matthew Borzage, Kirsten A. Donald, Timothy Rittman, Richard Beare, Giovanni Abrahão Salum, Gunter Schumann, Ryuta Kawashima, Romero-Garcia R, John Blangero, Yun Hj, Russel T. Shinohara, Nicolas Crossley, Simon K. Warfield, Karen Pierce, George S. Alexopoulos, Katharine Dunlop, David C. Glahn, Francois Lalonde, Anqi Qiu, Lana Vasung, Gaël Chételat, Lídice Galán-García, Clifford R. Jack, Reisa A. Sperling, Anna Zettergren, Elizabeth Kelley, Arno Villringer, Andrea Mechelli, Benegal, Aaron Alexander-Bloch, Nicholas B. Turk-Browne, van Amelsvoort T, John D. Lewis, Heather C. Whalley, A. V. Witte, Zdenka Pausova, Joel T. Nigg, Heather J. Zar, Raymond J. Dolan, Christopher D. Smyser, Jay N. Giedd, Lena Palaniyappan, Ali Gholipour, Areces-Gonzalez A, Peter B. Jones, Jacqueline Hoare, Oskar Hansson, Linnea Karlsson, C Pantelis, Paly L, Bonnie Auyeung, Jorge Bosch-Bayard
Publikováno v:
Nature
Nature, 2022, 604 (7906), pp.525-533. ⟨10.1038/s41586-022-04554-y⟩
Nature 604(7906), 525-533 (2022). doi:10.1038/s41586-022-04554-y
Nature, 604(7906), 525-533. Nature Publishing Group
Neuroscience Institute Publications
2022, ' Brain charts for the human lifespan ', Nature . https://doi.org/10.1038/s41586-022-04554-y
3R-BRAIN, AIBL, Alzheimer’s Disease Neuroimaging Initiative, Alzheimer’s Disease Repository Without Borders Investigators, CALM Team, Cam-CAN, CCNP, COBRE, cVEDA, ENIGMA Developmental Brain Age Working Group, Developing Human Connectome Project, FinnBrain, Harvard Aging Brain Study, IMAGEN, KNE96, Mayo Clinic Study of Aging, NSPN, POND, PREVENT-AD Research Group & VETSA 2022, ' Brain charts for the human lifespan ', Nature, vol. 604, no. 7906, pp. 525-533 . https://doi.org/10.1038/s41586-022-04554-y
Nature, 2022, 604 (7906), pp.525-533. ⟨10.1038/s41586-022-04554-y⟩
Nature
Nature, 604(7906), 525-533. Nature Publishing Group
Neuroscience Institute Publications
2022, ' Brain charts for the human lifespan ', Nature . https://doi.org/10.1038/s41586-022-04554-y
3R-BRAIN, AIBL, Alzheimer’s Disease Neuroimaging Initiative, Alzheimer’s Disease Repository Without Borders Investigators, CALM Team, Cam-CAN, CCNP, COBRE, cVEDA, ENIGMA Developmental Brain Age Working Group, Developing Human Connectome Project, FinnBrain, Harvard Aging Brain Study, IMAGEN, KNE96, Mayo Clinic Study of Aging, NSPN, POND, PREVENT-AD Research Group & VETSA 2022, ' Brain charts for the human lifespan ', Nature, vol. 604, no. 7906, pp. 525-533 . https://doi.org/10.1038/s41586-022-04554-y
Over the past few decades, neuroimaging has become a ubiquitous tool in basic research and clinical studies of the human brain. However, no reference standards currently exist to quantify individual differences in neuroimaging metrics over time, in c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8657baebf2a1bd5b6c7b712b1f04f933
https://www.repository.cam.ac.uk/handle/1810/336922
https://www.repository.cam.ac.uk/handle/1810/336922
Autor:
Pedro A. Valdes-Sosa, Thalía Harmony, Lourdes Cubero-Rego, Deirel Paz-Linares, Eduardo Gonzalez-Moreira, Ariosky Areces-Gonzalez
Aimto evaluate EEG connectivity during the first year of age in healthy full-term infants and preterm infants with prenatal and perinatal risk factors for perinatal brain damage.MethodsThree groups of infants were studied: healthy at full-term infant
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f242cbfe4afc0fe5ffae3c1c91a87c6d
https://doi.org/10.1101/2021.11.24.469864
https://doi.org/10.1101/2021.11.24.469864