Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Srinivas Rachakonda"'
Autor:
Flor A. Espinoza, Nathaniel E. Anderson, Victor M. Vergara, Carla L. Harenski, Jean Decety, Srinivas Rachakonda, Eswar Damaraju, Michael Koenigs, David S. Kosson, Keith Harenski, Vince D. Calhoun, Kent A. Kiehl
Publikováno v:
NeuroImage: Clinical, Vol 24, Iss , Pp - (2019)
Studies have used resting-state functional magnetic resonance imaging (rs-fMRI) to examine associations between psychopathy and brain connectivity in selected regions of interest as well as networks covering the whole-brain. One of the limitations of
Externí odkaz:
https://doaj.org/article/98e53d19c9dd44a3a7a705c7d29e7316
Publikováno v:
Frontiers in Neuroscience, Vol 11 (2017)
Studies featuring multimodal neuroimaging data fusion for understanding brain function and structure, or disease characterization, leverage the partial information available in each of the modalities to reveal data variations not exhibited through th
Externí odkaz:
https://doaj.org/article/fd45be01a7d64d8c952b84852e1abee4
Autor:
Yuhui Du, Dongdong Lin, Qingbao Yu, Jing Sui, Jiayu Chen, Srinivas Rachakonda, Tulay Adali, Vince D. Calhoun
Publikováno v:
Frontiers in Neuroscience, Vol 11 (2017)
Spatial group independent component analysis (GICA) methods decompose multiple-subject functional magnetic resonance imaging (fMRI) data into a linear mixture of spatially independent components (ICs), some of which are subsequently characterized as
Externí odkaz:
https://doaj.org/article/2d48188dfa0549efa6511b9912cc1f55
Publikováno v:
Frontiers in Systems Neuroscience, Vol 5 (2011)
The functional architecture of the human brain has been extensively described in terms of complex networks characterized by efficient small-world features. Recent functional magnetic resonance imaging (fMRI) studies have found altered small-world top
Externí odkaz:
https://doaj.org/article/ec00f52c3a67413483c2db245ce2966e
Autor:
Elena A Allen, Erik B Erhardt, Eswar Damaraju, William Gruner, Judith M Segall, Rogers F Silva, Martin eHavlicek, Srinivas Rachakonda, Jill Fries, Ravi Kalyanam, Andrew M Michael, Arvind Caprihan, Jessica A Turner, Tom Eichele, Steven eAdelsheim, Angela D Bryan, Juan eBustillo, Vincent P Clark, Sarah W Feldstein Ewing, Francesca eFilbey, Corey C Ford, Kent eHutchison, Rex E Jung, Kent A Kiehl, Piyadasa eKodituwakku, Yuko M Komesu, Andrew R Mayer, Godfrey D Pearlson, John P Phillips, Joseph R Sadek, Michael Stevens, Ursina eTeuscher, Robert J Thoma, Vince D Calhoun
Publikováno v:
Frontiers in Systems Neuroscience, Vol 5 (2011)
As the size of functional and structural MRI datasets expands, it becomes increasingly important to establish a baseline from which diagnostic relevance may be determined, a processing strategy that efficiently prepares data for analysis, and a stati
Externí odkaz:
https://doaj.org/article/c3594950865e447c9b3d5b1eafea7375
Autor:
Qingbao Yu, Jing Sui, Srinivas Rachakonda, Hao He, William Gruner, Godfrey Pearlson, Kent A Kiehl, Vince D Calhoun
Publikováno v:
PLoS ONE, Vol 6, Iss 9, p e25423 (2011)
Aberrant topological properties of small-world human brain networks in patients with schizophrenia (SZ) have been documented in previous neuroimaging studies. Aberrant functional network connectivity (FNC, temporal relationships among independent com
Externí odkaz:
https://doaj.org/article/ddbacc00c1b745bfbffc704be4ebb939
Autor:
Henry Jeremy Bockholt, Mark Scully, William Courtney, Srinivas Rachakonda, Adam Scott, Arvind Caprihan, Jill Fries, Ravi Kalyanam, Judith Segall, Raul De La Garza, Susan Lane, Vince D Calhoun
Publikováno v:
Frontiers in Neuroinformatics, Vol 3 (2010)
A neuroinformatics (NI) system is critical to brain imaging research in order to shorten the time between study conception and results. Such a NI system is required to scale well when large numbers of subjects are studied. Further, when multiple site
Externí odkaz:
https://doaj.org/article/5f42d9b209d14bb1b6a7f1a0e555cc49
Autor:
Enrico Premi, Marcello Giunta, Armin Iraji, Srinivas Rachakonda, VinceD. Calhoun, Stefano Gazzina, Alberto Benussi, Roberto Gasparotti, Silvana Archetti, Martina Bocchetta, Dave Cash, Emily Todd, Georgia Peakman, Rhian Convery, John C. van Swieten, Lize Jiskoot, Raquel Sanchez-Valle, Fermin Moreno, Robert Laforce, Caroline Graff, Matthis Synofzik, Daniela Galimberti, JamesB. Rowe, Mario Masellis, Carmela Tartaglia, Elizabeth Finger, Rik Vandenberghe, Alexandre de Mendonça, Fabrizio Tagliavini, Chris R. Butler, Isabel Santana, Alexander Gerhard, Isabelle Le Ber, Florence Pasquier, Simon Ducharme, Johannes Levin, Adrian Danek, Sandro Sorbi, Markus Otto, Jonathan D. Rohrer, Barbara Borroni
Publikováno v:
Neuroscience Institute Publications
Refers to Enrico Premi, Marcello Giunta, Armin Iraji, Srinivas Rachakonda, Vince D. Calhoun, Stefano Gazzina, Alberto Benussi, Roberto Gasparotti, Silvana Archetti, Martina Bocchetta, Dave Cash, Emily Todd, Georgia Peakman, Rhian Convery, John C. van
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d61f557b3dff2bf235fcb1093cd6173f
https://doi.org/10.1016/j.neurobiolaging.2022.08.005
https://doi.org/10.1016/j.neurobiolaging.2022.08.005
Autor:
Sandro Sorbi, Vince D. Calhoun, James B. Rowe, Isabelle Le Ber, Matthis Synofzik, Roberto Gasparotti, Martina Bocchetta, Enrico Premi, Dave Cash, Alexandre de Mendonça, Armin Iraji, Johannes Levin, Stefano Gazzina, A. Danek, Lize C. Jiskoot, Marcello Giunta, Alexander Gerhard, Markus Otto, Raquel Sánchez-Valle, Emily Todd, Genetic Frontotemporal dementia Initiative, Isabel Santana, Silvana Archetti, Rhian S Convery, Robert Laforce, Srinivas Rachakonda, Florence Pasquier, Fermin Moreno, John C. van Swieten, Georgia Peakman, Elizabeth Finger, Jonathan D. Rohrer, Christopher C Butler, Daniela Galimberti, Alberto Benussi, Carmela Tartaglia, Rik Vandenberghe, Caroline Graff, Mario Masellis, Fabrizio Tagliavini, Barbara Borroni, Simon Ducharme
Publikováno v:
Neurobiology of Aging, 108, 155-167. Elsevier Inc.
The presymptomatic brain changes of granulin (GRN) disease, preceding by years frontotemporal dementia, has not been fully characterized. New approaches focus on the spatial chronnectome can capture both spatial network configurations and their dynam
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b8e506d618663e4dcc4d5c48192a94c
https://doi.org/10.1016/j.neurobiolaging.2021.09.001
https://doi.org/10.1016/j.neurobiolaging.2021.09.001
Publikováno v:
Social Cognitive and Affective Neuroscience
Given the dynamic nature of the brain, there has always been a motivation to move beyond ‘static’ functional connectivity, which characterizes functional interactions over an extended period of time. Progress in data acquisition and advances in a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fe24fba6be7d988c7d91d287956c0268
http://europepmc.org/articles/PMC8343585
http://europepmc.org/articles/PMC8343585