Zobrazeno 1 - 10
of 1 270
pro vyhledávání: '"Arthur W Toga"'
Autor:
Ben A Duffy, Lu Zhao, Farshid Sepehrband, Joyce Min, Danny JJ Wang, Yonggang Shi, Arthur W Toga, Hosung Kim
Publikováno v:
NeuroImage, Vol 230, Iss , Pp 117756- (2021)
Head motion during MRI acquisition presents significant challenges for neuroimaging analyses. In this work, we present a retrospective motion correction framework built on a Fourier domain motion simulation model combined with established 3D convolut
Externí odkaz:
https://doaj.org/article/db9599bdbff2485485df6adb919ae50d
Autor:
Simeone Marino, Yi Zhao, Nina Zhou, Yiwang Zhou, Arthur W Toga, Lu Zhao, Yingsi Jian, Yichen Yang, Yehu Chen, Qiucheng Wu, Jessica Wild, Brandon Cummings, Ivo D Dinov
Publikováno v:
PLoS ONE, Vol 15, Iss 8, p e0228520 (2020)
Health advances are contingent on continuous development of new methods and approaches to foster data-driven discovery in the biomedical and clinical sciences. Open-science and team-based scientific discovery offer hope for tackling some of the diffi
Externí odkaz:
https://doaj.org/article/349de7cc7c8c4d0891deeb1f02762038
Autor:
Junhao Wen, Zhijian Yang, Ilya M. Nasrallah, Yuhan Cui, Guray Erus, Dhivya Srinivasan, Ahmed Abdulkadir, Elizabeth Mamourian, Gyujoon Hwang, Ashish Singh, Mark Bergman, Jingxuan Bao, Erdem Varol, Zhen Zhou, Aleix Boquet-Pujadas, Jiong Chen, Arthur W. Toga, Andrew J. Saykin, Timothy J. Hohman, Paul M. Thompson, Sylvia Villeneuve, Randy Gollub, Aristeidis Sotiras, Katharina Wittfeld, Hans J. Grabe, Duygu Tosun, Murat Bilgel, Yang An, Daniel S. Marcus, Pamela LaMontagne, Tammie L. Benzinger, Susan R. Heckbert, Thomas R. Austin, Lenore J. Launer, Mark Espeland, Colin L. Masters, Paul Maruff, Jurgen Fripp, Sterling C. Johnson, John C. Morris, Marilyn S. Albert, R. Nick Bryan, Susan M. Resnick, Luigi Ferrucci, Yong Fan, Mohamad Habes, David Wolk, Li Shen, Haochang Shou, Christos Davatzikos
Publikováno v:
Translational Psychiatry, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Alzheimer’s disease (AD) is associated with heterogeneous atrophy patterns. We employed a semi-supervised representation learning technique known as Surreal-GAN, through which we identified two latent dimensional representations of brain a
Externí odkaz:
https://doaj.org/article/56d631e8319148739bce0f8e8b35d005
Publikováno v:
Frontiers in Neurology, Vol 7 (2016)
Background: The nigrosome-1 region of the substantia nigra (SN) undergoes the greatest and earliest dopaminergic neuron loss in Parkinson’s disease (PD). As T2-weighted MRI scans are often collected with routine clinical MRI protocols, this investi
Externí odkaz:
https://doaj.org/article/eadbf70306774ff1bde45bd4ec2cb3a6
Autor:
Ivo D Dinov, Ben Heavner, Ming Tang, Gustavo Glusman, Kyle Chard, Mike Darcy, Ravi Madduri, Judy Pa, Cathie Spino, Carl Kesselman, Ian Foster, Eric W Deutsch, Nathan D Price, John D Van Horn, Joseph Ames, Kristi Clark, Leroy Hood, Benjamin M Hampstead, William Dauer, Arthur W Toga
Publikováno v:
PLoS ONE, Vol 11, Iss 8, p e0157077 (2016)
BACKGROUND:A unique archive of Big Data on Parkinson's Disease is collected, managed and disseminated by the Parkinson's Progression Markers Initiative (PPMI). The integration of such complex and heterogeneous Big Data from multiple sources offers un
Externí odkaz:
https://doaj.org/article/ca430ef7d7a84ff78b823dffaac7fd15
Publikováno v:
Frontiers in Neuroinformatics, Vol 9 (2016)
This work is focused on mapping biomedical datasets to a common representation, as an integral part of data harmonization for integrated biomedical data access and sharing. We present GEM, an intelligent software assistant for automated data mapping
Externí odkaz:
https://doaj.org/article/ba65314709b8483c8ac3e30488d69a2b
Autor:
Junhao Wen, Bingxin Zhao, Zhijian Yang, Guray Erus, Ioanna Skampardoni, Elizabeth Mamourian, Yuhan Cui, Gyujoon Hwang, Jingxuan Bao, Aleix Boquet-Pujadas, Zhen Zhou, Yogasudha Veturi, Marylyn D. Ritchie, Haochang Shou, Paul M. Thompson, Li Shen, Arthur W. Toga, Christos Davatzikos
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-15 (2024)
Abstract The complex biological mechanisms underlying human brain aging remain incompletely understood. This study investigated the genetic architecture of three brain age gaps (BAG) derived from gray matter volume (GM-BAG), white matter microstructu
Externí odkaz:
https://doaj.org/article/0b986bda725642da9bd3943d43862752
Autor:
Naveen eAshish, Arthur W Toga
Publikováno v:
Frontiers in Neuroinformatics, Vol 9 (2015)
This paper presents an approach to and system for declaratively transforming medical subjects’ data into a common data model representation. Our work is part of the GAAIN project on Alzheimer’s disease data federation. We present a general purpos
Externí odkaz:
https://doaj.org/article/1ccdf9b287e14fb9815e12a75b104a17
Autor:
Ivo D Dinov, Petros ePetrosyan, Zhizhong eLiu, Paul eEggert, Sam eHobel, Seok Woo eMoon, John D Van Horn, Joe eFranco, Arthur W Toga
Publikováno v:
Frontiers in Neuroinformatics, Vol 8 (2014)
Many contemporary neuroscientific investigations face significant challenges in terms of data management, computational processing, data mining and results interpretation. These four pillars define the core infrastructure necessary to plan, organize,
Externí odkaz:
https://doaj.org/article/801e01478ec04f8f8319ea18eee90597
Autor:
Christine eSchneider, Christoph eHelmstaedter, Eileen eLuders, Paul Matthew Thompson, Arthur W Toga, Christian E Elger, Bernd eWeber
Publikováno v:
Frontiers in Neurology, Vol 5 (2014)
The main objective of this paper is to analyse the influence of mesial temporal lobe epilepsy (TLE) on the morphology of the corpus callosum (CC) and its relation to cognitive abilities. More specifically, we investigated correlations between intelle
Externí odkaz:
https://doaj.org/article/14d88422422c48e5ada8d072756605a8