Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Adam G. Thomas"'
Autor:
Allison C. Nugent, Adam G. Thomas, Margaret Mahoney, Alison Gibbons, Jarrod T. Smith, Antoinette J. Charles, Jacob S. Shaw, Jeffrey D. Stout, Anna M. Namyst, Arshitha Basavaraj, Eric Earl, Travis Riddle, Joseph Snow, Shruti Japee, Adriana J. Pavletic, Stephen Sinclair, Vinai Roopchansingh, Peter A. Bandettini, Joyce Chung
Publikováno v:
Scientific Data, Vol 9, Iss 1, Pp 1-10 (2022)
Measurement(s) brain activity • Blood Oxygen Level-Dependent Functional MRI • regional part of brain • cerebral white matter structure • cerebral blood flow Technology Type(s) Magnetoencephalography • Functional Magnetic Resonance Imaging
Externí odkaz:
https://doaj.org/article/ae9bc5ce06d4469faf9474eb06d62b76
Publikováno v:
Royal Society Open Science, Vol 9, Iss 2 (2022)
In mental health research, it has proven difficult to find measures of brain function that provide reliable indicators of mental health and well-being, including susceptibility to mental health disorders. Recently, a family of data-driven analyses ha
Externí odkaz:
https://doaj.org/article/47c0fbd216cf43f18eb78098126f15f4
Autor:
Patrick McClure, Nao Rho, John A. Lee, Jakub R. Kaczmarzyk, Charles Y. Zheng, Satrajit S. Ghosh, Dylan M. Nielson, Adam G. Thomas, Peter Bandettini, Francisco Pereira
Publikováno v:
Frontiers in Neuroinformatics, Vol 13 (2019)
In this paper, we describe a Bayesian deep neural network (DNN) for predicting FreeSurfer segmentations of structural MRI volumes, in minutes rather than hours. The network was trained and evaluated on a large dataset (n = 11,480), obtained by combin
Externí odkaz:
https://doaj.org/article/29e5883782744dd692e3551264dfbd88
Autor:
Julia C. Nantes, Adam G. Thomas, Natalie L. Voets, Jonathan G. Best, Clive R. Rosenthal, Adam Al-Diwani, Sarosh R. Irani, Charlotte J. Stagg
Publikováno v:
Frontiers in Neurology, Vol 9 (2018)
This is the first study to investigate functional brain activity in patients affected by autoimmune encephalitis with faciobrancial dystonic seizures (FBDS). Multimodal 3T MRI scans, including structural neuroimaging (T1-weighted, diffusion weighted)
Externí odkaz:
https://doaj.org/article/b49cac386ff54dd9a6a8e8081cd3cc47
Autor:
Satrajit S. Ghosh, Jean-Baptiste Poline, David B. Keator, Yaroslav O. Halchenko, Adam G. Thomas, Daniel A. Kessler, David N. Kennedy
Publikováno v:
F1000Research, Vol 6 (2017)
Reproducible research is a key element of the scientific process. Re-executability of neuroimaging workflows that lead to the conclusions arrived at in the literature has not yet been sufficiently addressed and adopted by the neuroimaging community.
Externí odkaz:
https://doaj.org/article/da55843cf4454330850552519450a0b9
Autor:
David C. Jangraw, Hanna Keren, Haorui Sun, Rachel L. Bedder, Robb B. Rutledge, Francisco Pereira, Adam G. Thomas, Daniel S. Pine, Charles Zheng, Dylan M. Nielson, Argyris Stringaris
Publikováno v:
Nature Human Behaviour
Does our mood change as time passes? This question is central to behavioural and affective science, yet it remains largely unexamined. To investigate, we intermixed subjective momentary mood ratings into repetitive psychology paradigms. We demonstrat
Publikováno v:
Journal of Biological Chemistry. 295:18485-18493
Timely repair of DNA double-strand breaks (DSBs) is essential to maintaining genomic integrity and preventing illnesses induced by genetic abnormalities. We previously demonstrated that the E3 ubiquitin ligase SMURF2 plays a critical tumor suppressin
Autor:
Zho. Wang, Ariane Khaledi, Alice C. McHardy, Anton Korobeynikov, A. Cristian, Gherman Uritskiy, Huijue Jia, Philip Thomas Lanken Conradsen Clausen, Till Strowig, Denis Bertrand, N. Smit, Niranjan Nagarajan, Enrico Seiler, Adam G. Thomas, David Koslicki, Piotr Wojtek Dabrowski, Vitor C. Piro, Andreas Bremges, L. Oliker, Petra Gastmeier, Steven Hofmeyr, Zhe Wang, Jason C. Kwan, Alessio Milanese, Tue Sparholt Jørgensen, Mohammed Alser, J. S. Porter, Alexander Sczyrba, Georg Zeller, Bernhard Y. Renard, Chenhao Li, Riccardo Vicedomini, Chengxuan Tong, Andrew S. Warren, Jaqueline J. Brito, Alexey Gurevich, Axel Kola, C.T. Brown, Julien Tremblay, Shinichi Sunagawa, F. Maechler, G. Robertson, Jakob Nybo Nissen, Ruben Garrido-Oter, Rob Egan, Simon Rasmussen, Katherine Yelick, Fernando Meyer, Zhengqiao Zhao, Daniel R Mende, Shanfeng Zhu, Lizhen Shi, F. Malcher-Miranda, Fengzhu Sun, Zi. Wang, Lars Hestbjerg Hansen, J. Buchmann, S. D. Kieser, Jie Zhu, E. M. Robertsen, Fantin Mesny, Sergey Nurk, Pierre Marijon, Dmitry Meleshko, Gail L. Rosen, Nicola Segata, Nathan LaPierre, Eugene Goltsman, Varuni Sarwal, Mirko Trajkovski, Dmitry Antipov, P. Huang, Vanesa R. Marcelino, Francesco Beghini, Antoine Limasset, Rayan Chikhi, Eleazar Eskin, M. A. Gray, Camille Marchet, Lucas Paoli, Adrian Fritz, Evangelos Georganas, Zhi-Luo Deng, T. Klemetsen, Hans-Joachim Ruscheweyh, Evan R. Rees, S. Häußler, Simona Radutoiu, Stéphane Hacquard, Paul Schulze-Lefert, Mikhail Kolmogorov, N. P. Willassen, Pierre Peterlongo, Knut Reinert, Claire Lemaitre, Ronghui You, Søren J. Sørensen, Aydin Buluc, Luiz Irber, Serghei Mangul, B. Chen, Aaron E. Darling
Evaluating metagenomic software is key for optimizing metagenome interpretation and focus of the community-driven initiative for the Critical Assessment of Metagenome Interpretation (CAMI). In its second challenge, CAMI engaged the community to asses
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::30f2c611599ba0fd5421c09bf5485486
https://doi.org/10.1101/2021.07.12.451567
https://doi.org/10.1101/2021.07.12.451567
Autor:
Ross Blair, Stefan Appelhoff, Mattia Veronese, Tobey J. Betthauser, Jean-Dominique Gallezot, Remi Gau, Matteo Tonietto, Granville J. Matheson, Cyril Pernet, Alexandre Routier, Robert B. Innis, Richard E. Carson, Guiomar Niso, Gaia Rizzo, Graham E. Searle, Gitte M. Knudsen, Franklin Feingold, Thomas Funck, Adam G. Thomas, Martin Nørgaard, Christophe Phillips, Hugo Boniface, Christopher J. Markiewicz, Hanne D. Hansen, Maqsood Yaqub, Krzysztof J. Gorgolewski, Alessio Giacomel, Robert Oostenveld, Melanie Ganz, Ashley Gillman, Jelle R. Dalenberg, Taylor Salo
The Brain Imaging Data Structure (BIDS) is a standard for organizing and describing neuroimaging datasets. It serves not only to facilitate the process of data sharing and aggregation, but also to simplify the application and development of new metho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::150810f5c5779ac1dcf5498d49594e3a
https://doi.org/10.1101/2021.06.16.448390
https://doi.org/10.1101/2021.06.16.448390
Autor:
Marco Garrone, Scott D. Weingart, Cameron Kyle-Sidell, Joshua D. Farkas, Rory Spiegel, Laura V. Duggan, Philippe Rola, Adam G. Thomas
Publikováno v:
Clinical and Experimental Emergency Medicine