Zobrazeno 1 - 10
of 63
pro vyhledávání: '"Yeo Bt"'
Autor:
Nicolaisen-Sobesky, Eliana, Mihalik, Agoston, Kharabian-Masouleh, Shahrzad, Ferreira, Fabio S, Hoffstaedter, Felix, Schwender, Holger, Maleki Balajoo, Somayeh, Valk, Sofie L, Eickhoff, Simon B, Yeo, BT Thomas, Mourao-Miranda, Janaina, Genon, Sarah
Publikováno v:
Communications biology 5(1), 1297 (2022). doi:10.1038/s42003-022-04244-5
Communications Biology
Communications Biology
Communications biology 5(1), 1297 (2022). doi:10.1038/s42003-022-04244-5
Identifying associations between interindividual variability in brain structure and behaviour requires large cohorts, multivariate methods, out-of-sample validation and, id
Identifying associations between interindividual variability in brain structure and behaviour requires large cohorts, multivariate methods, out-of-sample validation and, id
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d6312c2426b1cc71476a97ec23e98aa7
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:
Peter Kochunov, Vos de Wael R, Şeyma Bayrak, Jessica Royer, Richard A. I. Bethlehem, Kharabian Masouleh S, Daniel S. Margulies, Ting Xu, Bo-yong Park, Sofie L. Valk, Smallwood J, Casey Paquola, Boris C. Bernhardt, Simon B. Eickhoff, Yeo Bt
Publikováno v:
Nature Communications
Nature Communications, Vol. 13, No. 1
Nature Communications 13(1), 2341 (2022). doi:10.1038/s41467-022-29886-1
Nature Communications, Vol. 13, No. 1
Nature Communications 13(1), 2341 (2022). doi:10.1038/s41467-022-29886-1
Nature Communications 13(1), 2341 (2022). doi:10.1038/s41467-022-29886-1
Brain structure scaffolds intrinsic function, supporting cognition and ultimately behavioral flexibility. However, it remains unclear how a static, genetically controlled a
Brain structure scaffolds intrinsic function, supporting cognition and ultimately behavioral flexibility. However, it remains unclear how a static, genetically controlled a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7e2eba5e107b5e4b8d963dfb8839d299
Autor:
Siyuan Zhang, Danilo Bzdok, Eickenberg M, Vos de Wael R, Yeo Bt, Oualid Benkarim, Seok-Jun Hong, Boris C. Bernhardt, Bo-yong Park, Casey Paquola, Tian Ge, Kebets, Jean-Baptiste Poline
Brain-imaging research enjoys increasing adoption of supervised machine learning for singlesubject disease classification. Yet, the success of these algorithms likely depends on population diversity, including demographic differences and other factor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe0c34ba7437118089ad37d4784d7683
https://doi.org/10.1101/2021.06.16.448764
https://doi.org/10.1101/2021.06.16.448764
Autor:
Kraljevic, Nevena, Schaare, H Lina, Eickhoff, Simon B, Kochunov, Peter, Yeo, BT Thomas, Masouleh, Shahrzad Kharabian, Valk, Sofie L
Affective experience and cognitive abilities are key human traits that are interrelated in behavior and brain. Individual variation of affective and cognitive traits, as well as brain structure, has been shown to partly underlie genetic effects. Howe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3364::bfe344ca7ae87037b61d45a396afdee8
https://hdl.handle.net/2128/30520
https://hdl.handle.net/2128/30520
There is significant interest in using brain imaging data to predict non-brain-imaging phenotypes in individual participants. However, most prediction studies are underpowered, relying on less than a few hundred participants, leading to low reliabili
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::11335cbea5ebb4d1c02219a49a7e258e
https://doi.org/10.1101/2020.08.10.245373
https://doi.org/10.1101/2020.08.10.245373
Autor:
Blake A. Richards, Yeo Bt, Jakob Nikolas Kather, Joshua T. Vogelstein, Marc-Andre Schulz, Danilo Bzdok, Janaina Mourao-Miranada, Konrad P. Kording
In recent years, deep learning has unlocked unprecedented success in various domains, especially in image, text, and speech processing. These breakthroughs may hold promise for neuroscience and especially for brain-imaging investigators who start to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b8441c6f9704bdbae9031e86db40cd96
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America, vol 112, iss 49
Network-based analyses of brain imaging data consistently reveal distinct modules and connector nodes with diverse global connectivity across the modules. How discrete the functions of modules are, how dependent the computational load of each module
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______325::b9a24ac38bcf1bde6aa628f22179f5ce
https://escholarship.org/uc/item/4dh0p68t
https://escholarship.org/uc/item/4dh0p68t
Autor:
Marinescu, Razvan V, Oxtoby, Neil P, Young, Alexandra L, Bron, Esther E, Toga, Arthur W, Weiner, Michael W, Barkhof, Frederik, Fox, Nick C, Eshaghi, Arman, Toni, Tina, Salaterski, Marcin, Lunina, Veronika, Ansart, Manon, Durrleman, Stanley, Lu, Pascal, Iddi, Samuel, Li, Dan, Thompson, Wesley K, Donohue, Michael C, Nahon, Aviv, Levy, Yarden, Halbersberg, Dan, Cohen, Mariya, Liao, Huiling, Li, Tengfei, Yu, Kaixian, Zhu, Hongtu, Tamez-Peña, José G, Ismail, Aya, Wood, Timothy, Bravo, Hector Corrada, Nguyen, Minh, Sun, Nanbo, Feng, Jiashi, Yeo, BT Thomas, Chen, Gang, Qi, Ke, Chen, Shiyang, Qiu, Deqiang, Buciuman, Ionut, Kelner, Alex, Pop, Raluca, Rimocea, Denisa, Ghazi, Mostafa M, Nielsen, Mads, Ourselin, Sebastien, Sørensen, Lauge, Venkatraghavan, Vikram, Liu, Keli, Rabe, Christina, Manser, Paul, Hill, Steven M, Howlett, James, Huang, Zhiyue, Kiddle, Steven, Mukherjee, Sach, Rouanet, Anaïs, Taschler, Bernd, Tom, Brian DM, White, Simon R, Faux, Noel, Sedai, Suman, De Velasco Oriol, Javier, Clemente, Edgar EV, Estrada, Karol, Aksman, Leon, Altmann, Andre, Stonnington, Cynthia M, Wang, Yalin, Wu, Jianfeng, Devadas, Vivek, Fourrier, Clementine, Raket, Lars Lau, Sotiras, Aristeidis, Erus, Guray, Doshi, Jimit, Davatzikos, Christos, Vogel, Jacob, Doyle, Andrew, Tam, Angela, Diaz-Papkovich, Alex, Jammeh, Emmanuel, Koval, Igor, Moore, Paul, Lyons, Terry J, Gallacher, John, Tohka, Jussi, Ciszek, Robert, Jedynak, Bruno, Pandya, Kruti, Bilgel, Murat, Engels, William, Cole, Joseph, Golland, Polina, Klein, Stefan, Alexander, Daniel C
Accurate prediction of progression in subjects at risk of Alzheimer's disease is crucial for enrolling the right subjects in clinical trials. However, a prospective comparison of state-of-the-art algorithms for predicting disease onset and progressio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f01aa763a97a511f5e933554025d8dee
Autor:
Adriana Di Martino, Sofie L. Valk, Michael P. Milham, Alessandro Gozzi, Jonathan Smallwood, Oualid Benkarim, Richard A. I. Bethlehem, Boris C. Bernhardt, B.T. Thomas Yeo, Seok-Jun Hong, Casey Paquola, Bo-yong Park
Publikováno v:
Nature Communications
Nature Communications 12(1), 2225 (2021). doi:10.1038/s41467-021-21732-0
Nature Communications, Vol 12, Iss 1, Pp 1-15 (2021)
Nature Communications 12(1), 2225 (2021). doi:10.1038/s41467-021-21732-0
Nature Communications, Vol 12, Iss 1, Pp 1-15 (2021)
The pathophysiology of autism has been suggested to involve a combination of both macroscale connectome miswiring and microcircuit anomalies. Here, we combine connectome-wide manifold learning with biophysical simulation models to understand associat