Zobrazeno 1 - 10
of 81
pro vyhledávání: '"Tibor, Auer"'
Autor:
Ádám Nárai, Petra Hermann, Tibor Auer, Péter Kemenczky, János Szalma, István Homolya, Eszter Somogyi, Pál Vakli, Béla Weiss, Zoltán Vidnyánszky
Publikováno v:
Scientific Data, Vol 9, Iss 1, Pp 1-6 (2022)
Measurement(s) brain measurement Technology Type(s) Magnetization-Prepared Rapid Gradient Echo MRI Factor Type(s) level of head motion Sample Characteristic - Organism Homo sapiens
Externí odkaz:
https://doaj.org/article/dc604febd2d3415ba68b1c3399f9d4c4
Autor:
Agah Karakuzu, Stefan Appelhoff, Tibor Auer, Mathieu Boudreau, Franklin Feingold, Ali R. Khan, Alberto Lazari, Chris Markiewicz, Martijn Mulder, Christophe Phillips, Taylor Salo, Nikola Stikov, Kirstie Whitaker, Gilles de Hollander
Publikováno v:
Scientific Data, Vol 9, Iss 1, Pp 1-9 (2022)
Abstract The Brain Imaging Data Structure (BIDS) established community consensus on the organization of data and metadata for several neuroimaging modalities. Traditionally, BIDS had a strong focus on functional magnetic resonance imaging (MRI) datas
Externí odkaz:
https://doaj.org/article/af384ee16cf04efa9bd9f9af834616d0
Autor:
Amelie Haugg, Fabian M. Renz, Andrew A. Nicholson, Cindy Lor, Sebastian J. Götzendorfer, Ronald Sladky, Stavros Skouras, Amalia McDonald, Cameron Craddock, Lydia Hellrung, Matthias Kirschner, Marcus Herdener, Yury Koush, Marina Papoutsi, Jackob Keynan, Talma Hendler, Kathrin Cohen Kadosh, Catharina Zich, Simon H. Kohl, Manfred Hallschmid, Jeff MacInnes, R. Alison Adcock, Kathryn C. Dickerson, Nan-Kuei Chen, Kymberly Young, Jerzy Bodurka, Michael Marxen, Shuxia Yao, Benjamin Becker, Tibor Auer, Renate Schweizer, Gustavo Pamplona, Ruth A. Lanius, Kirsten Emmert, Sven Haller, Dimitri Van De Ville, Dong-Youl Kim, Jong-Hwan Lee, Theo Marins, Fukuda Megumi, Bettina Sorger, Tabea Kamp, Sook-Lei Liew, Ralf Veit, Maartje Spetter, Nikolaus Weiskopf, Frank Scharnowski, David Steyrl
Publikováno v:
NeuroImage, Vol 237, Iss , Pp 118207- (2021)
Real-time fMRI neurofeedback is an increasingly popular neuroimaging technique that allows an individual to gain control over his/her own brain signals, which can lead to improvements in behavior in healthy participants as well as to improvements of
Externí odkaz:
https://doaj.org/article/a02d62b9cbe24b19b6aba414fbe6d977
Publikováno v:
Frontiers in Human Neuroscience, Vol 15 (2021)
Neurofeedback (NF) is a complex learning scenario, as the task consists of trying out mental strategies while processing a feedback signal that signifies activation in the brain area to be self-regulated and acts as a potential reward signal. In an a
Externí odkaz:
https://doaj.org/article/4736ccf5620a4cd4a7d0fc6ba75e6e7c
Publikováno v:
Frontiers in Neuroinformatics, Vol 14 (2020)
In recent years, deep learning (DL) has become more widespread in the fields of cognitive and clinical neuroimaging. Using deep neural network models to process neuroimaging data is an efficient method to classify brain disorders and identify individ
Externí odkaz:
https://doaj.org/article/ab230ced5ab44452a78aed20a61017cb
Autor:
Aki Nikolaidis, Matteo Manchini, Tibor Auer, Katherine L. Bottenhorn, Eva Alonso-Ortiz, Gabriel Gonzalez-Escamilla, Sofie Valk, Tristan Glatard, Melvin Selim Atay, Johanna M.M. Bayer, Janine Bijsterbosch, Johannes Algermissen, Natacha Beck, Patrick Bermudez, Isil Poyraz Bilgin, Steffen Bollmann, Claire Bradley, Megan E.J. Campbell, Bryan Caron, Oren Civier, Luis Pedro Coelho, Shady El Damaty, Samir Das, Mathieu Dugré, Eric Earl, Stefanie Evas, Nastassja Lopes Fischer, De Fu Yap, Kelly G. Garner, Remi Gau, Giorgio Ganis, Dylan G. E. Gomes, Martin Grignard, Samuel Guay, Omer Faruk Gulban, Sarah Hamburg, Yaroslav O. Halchenko, Valerie Hayot-Sasson, Dawn Liu Holford, Laurentius Huber, Manuel Illanes, Tom Johnstone, Avinash Kalyani, Kinshuk Kashyap, Han Ke, Ibrahim Khormi, Gregory Kiar, Vanja Ković, Tristan Kuehn, Achintya Kumar, Xavier Lecours-Boucher, Michael Lührs, Robert Luke, Cecile Madjar, Sina Mansour L., Chris Markeweicz, Paula Andrea Martinez, Alexandra McCarroll, Léa Michel, Stefano Moia, Aswin Narayanan, Guiomar Niso, Emmet A. O’Brien, Kendra Oudyk, François Paugam, Yuri G. Pavlov, Jean-Baptiste Poline, Benedikt A. Poser, Céline Provins, Pradeep Reddy Raamana, Pierre Rioux, David Romero-Bascones, Ekansh Sareen, Antonio Schettino, Alec Shaw, Thomas Shaw, Cooper A. Smout, Anđdela Šoškié, Jessica Stone, Suzy J Styles, Ryan Sullivan, Naoyuki Sunami, Shamala Sundaray, Jasmine Wei Rou, Dao Thanh Thuy, Sebastien Tourbier, Sebastián Urch, Alejandro de la Vega, Niruhan Viswarupan, Adina Wagner, Lennart Walger, Hao-Ting Wang, Fei Ting Woon, David White, Christopher Wiggins, Will Woods, Yu-Fang Yang, Ksenia Zaytseva, Judy D. Zhu, Marcel P. Zwiers
Publikováno v:
Aperture Neuro.
Autor:
Nikita Davydov, Lucas Peek, Tibor Auer, Evgeny Prilepin, Nicolas Gninenko, Dimitri Van De Ville, Artem Nikonorov, Yury Koush
Publikováno v:
Neuroinformatics. 20:897-917
Real-time quality assessment (rtQA) of functional magnetic resonance imaging (fMRI) based on blood oxygen level-dependent (BOLD) signal changes is critical for neuroimaging research and clinical applications. The losses of BOLD sensitivity because of
Publikováno v:
Frontiers in Human Neuroscience, Vol 12 (2018)
Background: Neurofeedback training (NFT) to decrease the theta/beta ratio (TBR) has been used for treating hyperactivity and impulsivity in attention deficit hyperactivity disorder (ADHD); however, often with low efficiency. Individual variance in EE
Externí odkaz:
https://doaj.org/article/55cf8250573c465d8024a3e17fb62927
Autor:
Krzysztof J Gorgolewski, Fidel Alfaro-Almagro, Tibor Auer, Pierre Bellec, Mihai Capotă, M Mallar Chakravarty, Nathan W Churchill, Alexander Li Cohen, R Cameron Craddock, Gabriel A Devenyi, Anders Eklund, Oscar Esteban, Guillaume Flandin, Satrajit S Ghosh, J Swaroop Guntupalli, Mark Jenkinson, Anisha Keshavan, Gregory Kiar, Franziskus Liem, Pradeep Reddy Raamana, David Raffelt, Christopher J Steele, Pierre-Olivier Quirion, Robert E Smith, Stephen C Strother, Gaël Varoquaux, Yida Wang, Tal Yarkoni, Russell A Poldrack
Publikováno v:
PLoS Computational Biology, Vol 13, Iss 3, p e1005209 (2017)
The rate of progress in human neurosciences is limited by the inability to easily apply a wide range of analysis methods to the plethora of different datasets acquired in labs around the world. In this work, we introduce a framework for creating, tes
Externí odkaz:
https://doaj.org/article/3104ecfd7dcb4833982f436f752842e0
One of the significant challenges in real-time fMRI environments is to ensure that the functional images are exported in real-time. The prerequired ability to reconstruct these images immediately after the acquisition has already been resolved in 200
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c987d4053a557ce3517318db893d6b25
https://doi.org/10.1101/2022.06.27.497807
https://doi.org/10.1101/2022.06.27.497807