Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Julie A. DiCarlo"'
Autor:
Rashida Nayeem, Won Joon Sohn, Julie A. DiCarlo, Perman Gochyyev, David J. Lin, Dagmar Sternad
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 31, Pp 426-436 (2023)
Many persons with stroke exhibit upper extremity motor impairments. These impairments often lead to dysfunction and affect performance in activities of daily living, where successful manipulation of objects is essential. Hence, understanding how uppe
Externí odkaz:
https://doaj.org/article/4530cc73a0af4acea4d08eef806ceb5e
Autor:
Julie A. DiCarlo, Kimberly S. Erler, Marina Petrilli, Kristi Emerson, Perman Gochyyev, Lee H. Schwamm, David J. Lin
Publikováno v:
Frontiers in Digital Health, Vol 5 (2023)
IntroductionTraditional methods for obtaining outcomes for patients after acute stroke are resource-intensive. This study aimed to examine the feasibility, reliability, cost, and acceptability of collecting outcomes after acute stroke with a short me
Externí odkaz:
https://doaj.org/article/74027053c65d454b88759a07ba79320b
Autor:
Yi-Ling Kuo, David J. Lin, Isha Vora, Julie A. DiCarlo, Dylan J. Edwards, Teresa J. Kimberley
Publikováno v:
Brain Stimulation, Vol 15, Iss 1, Pp 179-181 (2022)
Externí odkaz:
https://doaj.org/article/7c975bb679524bddb47362fd4e7302c0
Chronic Stroke Sensorimotor Impairment Is Related to Smaller Hippocampal Volumes: An ENIGMA Analysis
Autor:
Artemis Zavaliangos‐Petropulu, Bethany Lo, Miranda R. Donnelly, Nicolas Schweighofer, Keith Lohse, Neda Jahanshad, Giuseppe Barisano, Nerisa Banaj, Michael R. Borich, Lara A. Boyd, Cathrin M. Buetefisch, Winston D. Byblow, Jessica M. Cassidy, Charalambos C. Charalambous, Adriana B. Conforto, Julie A. DiCarlo, Adrienne N. Dula, Natalia Egorova‐Brumley, Mark R. Etherton, Wuwei Feng, Kelene A. Fercho, Fatemeh Geranmayeh, Colleen A. Hanlon, Kathryn S. Hayward, Brenton Hordacre, Steven A. Kautz, Mohamed Salah Khlif, Hosung Kim, Amy Kuceyeski, David J. Lin, Jingchun Liu, Martin Lotze, Bradley J. MacIntosh, John L. Margetis, Feroze B. Mohamed, Fabrizio Piras, Ander Ramos‐Murguialday, Kate P. Revill, Pamela S. Roberts, Andrew D. Robertson, Heidi M. Schambra, Na Jin Seo, Mark S. Shiroishi, Cathy M. Stinear, Surjo R. Soekadar, Gianfranco Spalletta, Myriam Taga, Wai Kwong Tang, Gregory T. Thielman, Daniela Vecchio, Nick S. Ward, Lars T. Westlye, Emilio Werden, Carolee Winstein, George F. Wittenberg, Steven L. Wolf, Kristin A. Wong, Chunshui Yu, Amy Brodtmann, Steven C. Cramer, Paul M. Thompson, Sook‐Lei Liew
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 11, Iss 10 (2022)
Background Persistent sensorimotor impairments after stroke can negatively impact quality of life. The hippocampus is vulnerable to poststroke secondary degeneration and is involved in sensorimotor behavior but has not been widely studied within the
Externí odkaz:
https://doaj.org/article/d8cefc72a6b44c08a3c9c58bb96df519
Autor:
Julie C. DiCarlo, Angela M. Jarrett, Anum S. Kazerouni, John Virostko, Anna Sorace, Kalina P. Slavkova, Stefanie Woodard, Sarah Avery, Debra Patt, Boone Goodgame, Thomas E. Yankeelov
Publikováno v:
Magnetic Resonance in Medicine. 89:1134-1150
A method is presented to select the optimal time points at which to measure DCE-MRI signal intensities, leaving time in the MR exam for high-spatial resolution image acquisition.Simplicial complexes are generated from the Kety-Tofts model pharmacokin
Publikováno v:
Stroke. 54
Introduction: Descending motor pathways, namely the corticospinal (CST) and corticoreticular tracts (CRT), are important for normal gait function and have been implicated in gait recovery after stroke. However, the relationship of structural injury t
Autor:
Sook-Lei Liew, Nicolas Schweighofer, James H. Cole, Artemis Zavaliangos-Petropulu, Bethany P. Lo, Laura K.M. Han, Tim Hahn, Lianne Schmaal, Miranda R. Donnelly, Jessica N. Jeong, Zhizhuo Wang, Aisha Abdullah, Jun H. Kim, Alexandre Hutton, Giuseppe Barisano, Michael R. Borich, Lara A. Boyd, Amy Brodtmann, Cathrin M. Buetefisch, Winston D. Byblow, Jessica M. Cassidy, Charalambos C. Charalambous, Valentina Ciullo, Adriana Bastos Conforto, Rosalia Dacosta-Aguayo, Julie A. DiCarlo, Martin Domin, Adrienne N. Dula, Natalia Egorova-Brumley, Wuwei Feng, Fatemeh Geranmayeh, Chris M. Gregory, Colleen A. Hanlon, Kathryn Hayward, Jess A. Holguin, Brenton Hordacre, Neda Jahanshad, Steven A. Kautz, Mohamed Salah Khlif, Hosung Kim, Amy Kuceyeski, David J. Lin, Jingchun Liu, Martin Lotze, Bradley J. MacIntosh, John L. Margetis, Maria Mataro, Feroze B. Mohamed, Emily R. Olafson, Gilsoon Park, Fabrizio Piras, Kate P. Revill, Pamela Roberts, Andrew D. Robertson, Nerses Sanossian, Heidi M. Schambra, Na Jin Seo, Surjo R. Soekadar, Gianfranco Spalletta, Cathy M. Stinear, Myriam Taga, Wai Kwong Tang, Greg T. Thielman, Daniela Vecchio, Nick S. Ward, Lars T. Westlye, Carolee J. Winstein, George F. Wittenberg, Steven L. Wolf, Kristin A. Wong, Chunshui Yu, Steven C. Cramer, Paul M. Thompson
Background and ObjectivesFunctional outcomes after stroke are strongly related to focal injury measures. However, the role of global brain health is less clear. In this study, we examined the impact of brain age, a measure of neurobiological aging de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d40f7f118b1d89406bf106f704d4bd2e
https://hdl.handle.net/11541.2/34401
https://hdl.handle.net/11541.2/34401
Autor:
Kalina P. Slavkova, Julie C. DiCarlo, Viraj Wadhwa, Sidharth Kumar, Chengyue Wu, John Virostko, Thomas E. Yankeelov, Jonathan I. Tamir
Publikováno v:
Magnetic resonance in medicineREFERENCES.
To implement physics-based regularization as a stopping condition in tuning an untrained deep neural network for reconstructing MR images from accelerated data.The ConvDecoder (CD) neural network was trained with a physics-based regularization term i
Autor:
Anna G. Sorace, Sarah Avery, David A. Ekrut, Boone Goodgame, Debra A. Patt, Chengyue Wu, Anum S. Kazerouni, John Virostko, Angela M. Jarrett, Thomas E. Yankeelov, Julie C. DiCarlo, David A. Hormuth
Publikováno v:
Nat Protoc
This protocol describes a complete data acquisition, analysis and computational forecasting pipeline for employing quantitative MRI data to predict the response of locally advanced breast cancer to neoadjuvant therapy in a community-based care settin
Autor:
Kimberly S. Erler, Rui Wu, Julie A. DiCarlo, Marina F. Petrilli, Perman Gochyyev, Leigh R. Hochberg, Steven A. Kautz, Lee H. Schwamm, Steven C. Cramer, Seth P. Finklestein, David J. Lin
Publikováno v:
Neurology, vol 98, iss 18
Neurology
Neurology
Background and ObjectivesPrecise measurement of outcomes is essential for stroke trials and clinical care. Prior research has highlighted conceptual differences between global outcome measures such as the modified Rankin Scale (mRS) and domain-specif
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::68bfa20a552cb874129cd14f27a9c630
https://escholarship.org/uc/item/2v37z35q
https://escholarship.org/uc/item/2v37z35q