Zobrazeno 1 - 10
of 1 446
pro vyhledávání: '"Davis, Kathryn A"'
Autor:
Goldblum, Zack, Xu, Zhongchuan, Shi, Haoer, Orzechowski, Patryk, Spence, Jamaal, Davis, Kathryn A, Litt, Brian, Sinha, Nishant, Wagenaar, Joost
The exponential growth of neuroscientific data necessitates platforms that facilitate data management and multidisciplinary collaboration. In this paper, we introduce Pennsieve - an open-source, cloud-based scientific data management platform built t
Externí odkaz:
http://arxiv.org/abs/2409.10509
Autor:
Conrad, Erin C., Bernabei, John M., Kini, Lohith G., Shah, Preya, Mikhail, Fadi, Kheder, Ammar, Shinohara, Russell T., Davis, Kathryn A., Bassett, Danielle S., Litt, Brian
Publikováno v:
Network Neuroscience, Vol 4, Iss 2, Pp 484-506 (2020)
Network neuroscience applied to epilepsy holds promise to map pathological networks, localize seizure generators, and inform targeted interventions to control seizures. However, incomplete sampling of the epileptic brain because of sparse placement o
Externí odkaz:
https://doaj.org/article/f968b22ce1f843a68565e524b036098e
Autor:
Gallagher, Ryan S, Sinha, Nishant, Pattnaik, Akash R, Ojemann, William K. S., Lucas, Alfredo, LaRocque, Joshua J., Bernabei, John M, Greenblatt, Adam S, Sweeney, Elizabeth M, Chen, H Isaac, Davis, Kathryn A, Conrad, Erin C, Litt, Brian
Intracranial EEG (IEEG) is used for 2 main purposes, to determine: (1) if epileptic networks are amenable to focal treatment and (2) where to intervene. Currently these questions are answered qualitatively and sometimes differently across centers. Th
Externí odkaz:
http://arxiv.org/abs/2307.15170
Autor:
Acharya, Gagan1 (AUTHOR), Davis, Kathryn A.2,3,4 (AUTHOR), Nozari, Erfan1,5,6 (AUTHOR) erfan.nozari@ucr.edu
Publikováno v:
Communications Biology. 9/28/2024, Vol. 7 Issue 1, p1-11. 11p.
Autor:
Gugger, James J, Sinha, Nishant, Huang, Yiming, Walter, Alexa, Lynch, Cillian, Morrison, Justin, Smyk, Nathan, Sandsmark, Danielle, Diaz-Arrastia, Ramon, Davis, Kathryn A
The trajectory of an individual's recovery after traumatic brain injury (TBI) is heterogeneous, with complete recovery in some cases but persistent disability in others. We hypothesized that changes in structural brain network abnormalities guide the
Externí odkaz:
http://arxiv.org/abs/2205.14663
Autor:
Sinha, Nishant, Duncan, John S., Diehl, Beate, Chowdhury, Fahmida A., de Tisi, Jane, Miserocchi, Anna, McEvoy, Andrew W., Davis, Kathryn A., Vos, Sjoerd B., Winston, Gavin P., Wang, Yujiang, Taylor, Peter N.
Alterations to structural and functional brain networks have been reported across many neurological conditions. However, the relationship between structure and function -- their coupling -- is relatively unexplored, particularly in the context of an
Externí odkaz:
http://arxiv.org/abs/2204.08086
Autor:
Zhou, Daniel J., Woodson-Smith, Sarah, Emmert, Brian E., Kornspun, Alana, Larocque, Joshua, Kulick-Soper, Catherine V., Qiu, Maylene K., Ellis, Colin A., Gugger, James J., Conrad, Erin C., Waldman, Genna, Ganguly, Taneeta, Sinha, Saurabh R., Davis, Kathryn A., Stein, Joel M., Liu, Grant T., Gelfand, Michael, Raghupathi, Ramya
Publikováno v:
In Epilepsy & Behavior September 2024 158
Publikováno v:
Using Technology to Enhance Special Education
Autor:
Emmert, Brian E., Xie, Kevin, Conrad, Erin C., Ghosn, Nina J., Bauman, Kristie, Korzun, Jacob, Kulick-Soper, Catherine V., Naveed, Omer, Hartmann, Nicole, LaRocque, Joshua J., Mindy Ganguly, Taneeta, Gugger, James J., Raghupathi, Ramya, Gelfand, Michael A., Davis, Kathryn A., Sinha, Saurabh R., Litt, Brian, Shinohara, Russell T., Ellis, Colin A.
Publikováno v:
In Epilepsy & Behavior January 2024 150
Autor:
Bernabei, John M., Owoputi, Olaoluwa, Small, Shyon D., Nyema, Nathaniel T., Dumenyo, Elom, Kim, Joongwon, Baldassano, Steven N., Painter, Christopher, Conrad, Erin C., Ganguly, Taneeta M., Balu, Ramani, Davis, Kathryn A., Pathmanathan, Jay, Litt, Brian
Objective: Continuous EEG (cEEG) monitoring is associated with lower mortality in critically ill patients, however it is underutilized due to the difficulty of manually interpreting prolonged streams of cEEG data. Here we present a novel real-time, m
Externí odkaz:
http://arxiv.org/abs/2009.01920