Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Aahana, Bajracharya"'
Autor:
Arefeh Sherafati, Noel Dwyer, Aahana Bajracharya, Mahlega Samira Hassanpour, Adam T Eggebrecht, Jill B Firszt, Joseph P Culver, Jonathan E Peelle
Publikováno v:
eLife, Vol 11 (2022)
Cochlear implants are neuroprosthetic devices that can restore hearing in people with severe to profound hearing loss by electrically stimulating the auditory nerve. Because of physical limitations on the precision of this stimulation, the acoustic i
Externí odkaz:
https://doaj.org/article/84c0de2579d04cb28b184211eee2a107
Publikováno v:
Aperture neuro. 2
Subject motion during fMRI can affect our ability to accurately measure signals of interest. In recent years, frame censoring-that is, statistically excluding motion-contaminated data within the general linear model using nuisance regressors-has appe
Autor:
Arefeh Sherafati, Noel Dwyer, Aahana Bajracharya, Mahlega Samira Hassanpour, Adam T Eggebrecht, Jill B Firszt, Joseph P Culver, Jonathan E Peelle
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e3348f9332e3e7301febea34962568c1
https://doi.org/10.7554/elife.75323.sa2
https://doi.org/10.7554/elife.75323.sa2
Publikováno v:
Neural Imaging and Sensing 2022.
Autor:
Joseph P. Culver, Aahana Bajracharya, Mahlega S. Hassanpour, Noël Y. Dwyer, Jill B. Firszt, Jonathan E. Peelle, Arefeh Sherafati, Adam T. Eggebrecht
Cochlear implants are neuroprosthetic devices that can restore hearing in people with severe to profound hearing loss by electrically stimulating the auditory nerve. Because of physical limitations on the precision of this stimulation, the acoustic i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e9b6fb03f02095ad30a15736450e467f
https://doi.org/10.1101/2021.10.16.464654
https://doi.org/10.1101/2021.10.16.464654
Subject motion during fMRI can affect our ability to accurately measure signals of interest. In recent years, frame censoring—that is, statistically excluding motion-contaminated data within the general linear model using nuisance regressors—has
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::712e4958fe51f018ddb3c9c0b2fdcb86
https://doi.org/10.1101/2021.10.12.464075
https://doi.org/10.1101/2021.10.12.464075
Autor:
Richard C. Reynolds, Jeremy Hogeveen, Joseph T. McGuire, Vittorio Iacovella, Gregory R. Samanez-Larkin, Cemal Koba, Paolo Avesani, Mikella A. Green, Margaret L. Schlichting, Claudio Toro-Serey, Tristan Glatard, Phui Cheng Lim, Emily A. Yearling, Simon B. Eickhoff, Katherine L. Bottenhorn, Susanne Weis, Andrew Erhart, Doris Pischedda, Mauricio R. Delgado, William A. Cunningham, Robert Langner, Matthew B. Wall, Amr Eed, Jorge Moll, Jeffrey B. Dennison, Wouter D. Weeda, Annabel B. Losecaat Vermeer, Anthony C. Juliano, Felix Hoffstaedter, Julia A. Camilleri, Nadège Bault, Cristian Buc Calderon, Xu Zhang, Gustav Tinghög, Vuong Truong, Leah Bakst, Stephan Heunis, Bertrand Thirion, Colin F. Camerer, Bradley C. Love, Tom Verguts, Luca Cecchetti, Patricia A. Reuter-Lorenz, Camille Maumet, Gabrielle Herman, Giacomo Handjaras, Michalis Kassinopoulos, Anthony Romyn, Xiangzhen Kong, Michael Notter, Nina Lauharatanahirun, Claire Donnat, Norberto Malpica, Jelle J. Goeman, Kamalaker Dadi, Michael Mack, Joke Durnez, Alberto De Luca, Margaret A. Sheridan, Shruti Ray, Colin Hawco, Enrico Glerean, J. Paul Hamilton, Qiang Shen, Sebastian Bobadilla-Suarez, Andrea Leo, David Wisniewski, Ayse Ilkay Isik, Lei Zhang, Bharat B. Biswal, Rotem Botvinik-Nezer, Flora Li, Bronson Harry, Andrew Jahn, Elise Lesage, Jean M. Vettel, Marco Barilari, Adrian I. Onicas, Susan Holmes, Khoi Vo, Aahana Bajracharya, Matthew Hughes, Rui Yuan, Nuri Erkut Kucukboyaci, Remi Gau, Sangsuk Yoon, Hongmi Lee, Alexandru D. Iordan, John Thorp, Russell A. Poldrack, Anna Dreber, Joshua E. Zosky, Dylan M. Nielson, Adriana S. Méndez Leal, Erin W. Dickie, Roeland Hancock, Tiago Bortolini, Kaustubh R. Patil, Monica Y.C. Li, Kristin N. Meyer, Fu Shiguang, Kenny Skagerlund, Juan Carlos de la Torre, Jennifer A. Silvers, R. Alison Adcock, Gustav Nilsonne, Zachary J. Cole, Emilio Sanz-Morales, Charles P. Davis, Michael Joseph, Sangil Lee, Tom Johnstone, Peder M. Isager, Jonathan E. Peelle, Emiliano Ricciardi, Scott A. Huettel, G. Matthew Fricke, Leonardo Tozzi, Brice A. Kuhl, Sagana Vijayarajah, Alexander Bowring, Jeanette A. Mumford, Blazej M. Baczkowski, Shabnam Hakimi, Sebastian Kupek, Michael Kirchler, Yanina Prystauka, Niall W. Duncan, Anna van 't Veer, Emily G. Brudner, Jamil P. Bhanji, Sarah M. Tashjian, Senne Braem, Paolo Papale, Simon R. Steinkamp, Georgios D. Mitsis, Kenneth S. L. Yuen, Magnus Johannesson, David J. White, Alec Smith, Krzysztof J. Gorgolewski, Alexander Leemans, Robert W. Cox, Emanuele Olivetti, Luca Turella, Juergen Huber, Tom Schonberg, David V. Smith, Lysia Demetriou, Peter Sokol-Hessner, Juergen Dukart, Glad Mihai, Taylor Salo, Jean-Baptiste Poline, Angela R. Laird, Sergej A.E. Golowin, Sarah Genon, Adriana Galván, Claus Lamm, Joseph W. Kable, Roni Iwanir, Theo Marins, Matthew R. Johnson, Anais Rodriguez-Thompson, Benjamin Meyer, Stefan Czoschke, Loreen Tisdall, Douglas H. Schultz, Evan N. Lintz, Derek Beaton, Peer Herholz, Olivia Guest, Jenny R. Rieck, Laura Fontanesi, Ekaterina Dobryakova, Alexandre Pérez, Olivier Collignon, Xin Di, Ruud Berkers, Sheryl B. Ball, Carlos González-García, Schuyler W. Liphardt, Edna C. Cieslik, Roland G. Benoit, João F. Guassi Moreira, Helena Melero, Jaime J. Castrellon, Hayley R. Brooks, Chuan-Peng Hu, Felix Holzmeister, Cheryl L. Grady, Thomas E. Nichols, Alba Xifra-Porxas, Steven H. Tompson, Kelsey McDonald, Julia Beitner, Timothy R. Koscik
Publikováno v:
Nature
Nature, 2020, 582 (7810), pp.84-88. ⟨10.1038/s41586-020-2314-9⟩
Nature, Vol. 582, No. 7810
Nature 582, 84–88 (2020). doi:10.1038/s41586-020-2314-9
Nature, 582(7810), 84-88. NATURE RESEARCH
Nature, Nature Publishing Group, 2020, 582 (7810), pp.84-88. ⟨10.1038/s41586-020-2314-9⟩
Nature, 582(7810), 84-88. Nature Publishing Group
Nature, 582(7810), 84-88. NATURE PORTFOLIO
bioRxiv
Digital.CSIC. Repositorio Institucional del CSIC
instname
Nature, 2020, 582 (7810), pp.84-88. ⟨10.1038/s41586-020-2314-9⟩
Nature, Vol. 582, No. 7810
Nature
Nature, 582(7810), 84-88. NATURE RESEARCH
Nature, Nature Publishing Group, 2020, 582 (7810), pp.84-88. ⟨10.1038/s41586-020-2314-9⟩
Nature, 582(7810), 84-88. Nature Publishing Group
Nature, 582(7810), 84-88. NATURE PORTFOLIO
bioRxiv
Digital.CSIC. Repositorio Institucional del CSIC
instname
Botvinik-Nezer, Rotem et al.
Data analysis workflows in many scientific domains have become increasingly complex and flexible. Here we assess the effect of this flexibility on the results of functional magnetic resonance imaging by asking 70 ind
Data analysis workflows in many scientific domains have become increasingly complex and flexible. Here we assess the effect of this flexibility on the results of functional magnetic resonance imaging by asking 70 ind
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f510d975b4de2cc451be32f6661fb74
https://hdl.handle.net/1887/3448879
https://hdl.handle.net/1887/3448879
Autor:
Aahana Bajracharya, Shannon M.A. Kundey, Stephen B. Fountain, Eve K. Stump, James D. Rowan, Holly L. Boettger-Tong
Publikováno v:
Learning and Motivation. 76:101761
Recombinant DNA technology has facilitated animal models that could be used to investigate candidate gene contributions to acquisition and retention. In practice, researchers focus on genetics or simple behaviors, rarely combining both or investigati
Autor:
Jonathan E. Peelle, Aahana Bajracharya
Task-based functional magnetic resonance imaging (fMRI) has become the method of choice for studying localized function in the human brain. Functional MRI studies often rely on group-level results to derive conclusions about the neurobiology of langu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b45e30285039e966f225634d8861b4c
https://doi.org/10.31234/osf.io/jru2z
https://doi.org/10.31234/osf.io/jru2z
Autor:
Jonathan E. Peelle, Aahana Bajracharya
Background. Task-based functional MRI has become the method of choice for researchers studying functional localization in the human brain. However, for a deeper understanding of brain function beyond group level generalizations, it is crucial to acco
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::74e1cee5b6ef5d1fe1af674bf5335af1
https://doi.org/10.31234/osf.io/7aru3
https://doi.org/10.31234/osf.io/7aru3