Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Ani Eloyan"'
Autor:
Susie Y. Huang, Qiuyun Fan, Natalya Machado, Ani Eloyan, John D. Bireley, Andrew W. Russo, Sean M. Tobyne, Kevin R. Patel, Kristina Brewer, Sarah F. Rapaport, Aapo Nummenmaa, Thomas Witzel, Janet C. Sherman, Lawrence L. Wald, Eric C. Klawiter
Publikováno v:
Annals of Clinical and Translational Neurology, Vol 6, Iss 5, Pp 882-892 (2019)
Abstract Objective To evaluate alterations in apparent axon diameter and axon density obtained by high‐gradient diffusion MRI in the corpus callosum of MS patients and the relationship of these advanced diffusion MRI metrics to neurologic disabilit
Externí odkaz:
https://doaj.org/article/2e7d321a38814b6bbd9db9d24460607c
Autor:
Elizabeth M. Sweeney, Russell T. Shinohara, Blake E. Dewey, Matthew K. Schindler, John Muschelli, Daniel S. Reich, Ciprian M. Crainiceanu, Ani Eloyan
Publikováno v:
NeuroImage: Clinical, Vol 10, Iss C, Pp 1-17 (2016)
The formation of multiple sclerosis (MS) lesions is a complex process involving inflammation, tissue damage, and tissue repair — all of which are visible on structural magnetic resonance imaging (MRI) and potentially modifiable by pharmacological t
Externí odkaz:
https://doaj.org/article/d627075779af43c4823555a1d1eab203
Autor:
Shaojie Chen, Lei Huang, Huitong Qiu, Mary Beth Nebel, Stewart H Mostofsky, James J Pekar, Martin A Lindquist, Ani Eloyan, Brian S Caffo
Publikováno v:
PLoS ONE, Vol 12, Iss 3, p e0173496 (2017)
Independent component analysis (ICA) is widely used in the field of functional neuroimaging to decompose data into spatio-temporal patterns of co-activation. In particular, ICA has found wide usage in the analysis of resting state fMRI (rs-fMRI) data
Externí odkaz:
https://doaj.org/article/4b9775c3f9db43ddaa5ef0a106c50bf2
Autor:
Ani Eloyan, Haochang Shou, Russell T Shinohara, Elizabeth M Sweeney, Mary Beth Nebel, Jennifer L Cuzzocreo, Peter A Calabresi, Daniel S Reich, Martin A Lindquist, Ciprian M Crainiceanu
Publikováno v:
PLoS ONE, Vol 9, Iss 9, p e107263 (2014)
Brain lesion localization in multiple sclerosis (MS) is thought to be associated with the type and severity of adverse health effects. However, several factors hinder statistical analyses of such associations using large MRI datasets: 1) spatial regi
Externí odkaz:
https://doaj.org/article/d315f552e7874357b682eabe9986236d
Publikováno v:
PLoS ONE, Vol 9, Iss 2, p e89470 (2014)
Functional magnetic resonance imaging (fMRI) is a thriving field that plays an important role in medical imaging analysis, biological and neuroscience research and practice. This manuscript gives a didactic introduction to the statistical analysis of
Externí odkaz:
https://doaj.org/article/75370786635542a48cb30916a373a018
Autor:
Shanshan Li, Ani Eloyan, Suresh Joel, Stewart Mostofsky, James Pekar, Susan Spear Bassett, Brian Caffo
Publikováno v:
PLoS ONE, Vol 7, Iss 11, p e49340 (2012)
Functional magnetic resonance imaging (fMRI) is a powerful tool for the in vivo study of the pathophysiology of brain disorders and disease. In this manuscript, we propose an analysis stream for fMRI functional connectivity data and apply it to a nov
Externí odkaz:
https://doaj.org/article/79a4b7c4d7e343058db2d16c8d3531cc
Autor:
Paige E. Logan, Sára Nemes, Leonardo Iaccarino, Nidhi S. Mundada, Renaud La Joie, Paul Aisen, Jeffrey L. Dage, Ani Eloyan, Anne M. Fagan, Tatiana M. Foroud, Constantine Gatsonis, Dustin B. Hammers, Clifford R. Jack, Joel H. Kramer, Robert Koeppe, Andrew J. Saykin, Arthur W. Toga, Prashanthi Vemuri, Alireza Atri, Gregory S. Day, Ranjan Duara, Neill R. Graff‐Radford, Lawrence S. Honig, David T. Jones, Joseph C. Masdeu, Mario F. Mendez, Chiadi U. Onyike, Emily J. Rogalski, Sharon Sha, Robert W. Turner, Kyle B. Womack, Maria C. Carrillo, Gil D. Rabinovici, Bradford C. Dickerson, Liana G. Apostolova
Publikováno v:
Alzheimer's & Dementia. 18
Autor:
Steve Salloway, Anne M. Fagan, Neill R. Graff-Radford, Robert A. Koeppe, Ani Eloyan, Lea T. Grinberg, Bradford C. Dickerson, Constantine Gatsonis, Walter A. Kukull, Thomas S. Wingo, Amy Trullinger, Gregory S. Day, Emily Rogalski, David A. Wolk, Paul S. Aisen, Prashanthi Vemuri, Joel H. Kramer, Gil D. Rabinovici, Erik S. Musiek, Tatiana Foroud, Arthur W. Toga, Clifford R. Jack, Mario F. Mendez, Leonardo Iaccarino, Joseph C. Masdeu, Malia Rumbaugh, Keith N. Fargo, Liana G. Apostolova, Chiadi U. Onyike, Kelly N.H. Nudelman, Lawrence S. Honig, Maria C. Carrillo, Melissa E. Murray, David T.W. Jones
Publikováno v:
Alzheimer's & Dementia. 17:2043-2055
Patients with early-onset Alzheimer's disease (EOAD) are commonly excluded from large-scale observational and therapeutic studies due to their young age, atypical presentation, or absence of pathogenic mutations. The goals of the Longitudinal EOAD St
Autor:
Russell T. Shinohara, Blake E. Dewey, Menghan Hu, Ciprian M. Crainiceanu, Daniel S. Reich, Matthew K. Schindler, Ani Eloyan
Publikováno v:
Biostatistics
Summary Our main goal is to study and quantify the evolution of multiple sclerosis lesions observed longitudinally over many years in multi-sequence structural magnetic resonance imaging (sMRI). To achieve that, we propose a class of functional model
Publikováno v:
J Inherit Metab Dis
BACKGROUND Current outcomes used to evaluate adrenomyeloneuropathy are limited by rater bias, not sensitive to preclinical changes and require years to decades to detect disease progression. Quantitative outcomes are needed that detect meaningful cha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eb5a8ef7fb94ef0d101ae732a5fc26e0
https://europepmc.org/articles/PMC8987487/
https://europepmc.org/articles/PMC8987487/