Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Babatunde Adeyemo"'
Autor:
Zach Ladwig, Benjamin A. Seitzman, Ally Dworetsky, Yuhua Yu, Babatunde Adeyemo, Derek M. Smith, Steven E. Petersen, Caterina Gratton
Publikováno v:
NeuroImage, Vol 260, Iss , Pp 119476- (2022)
Recent work identified single time points (“events”) of high regional cofluctuation in functional Magnetic Resonance Imaging (fMRI) which contain more large-scale brain network information than other, low cofluctuation time points. This suggested
Externí odkaz:
https://doaj.org/article/0d5f7ac53650430aabd9ec46c577b6af
Autor:
Nicole A. Seider, Babatunde Adeyemo, Ryland Miller, Dillan J. Newbold, Jacqueline M. Hampton, Kristen M. Scheidter, Jerrel Rutlin, Timothy O. Laumann, Jarod L. Roland, David F. Montez, Andrew N. Van, Annie Zheng, Scott Marek, Benjamin P. Kay, G. Larry Bretthorst, Bradley L. Schlaggar, Deanna J. Greene, Yong Wang, Steven E. Petersen, Deanna M. Barch, Evan M. Gordon, Abraham Z. Snyder, Joshua S. Shimony, Nico U.F. Dosenbach
Publikováno v:
NeuroImage, Vol 254, Iss , Pp 119138- (2022)
Diffusion imaging aims to non-invasively characterize the anatomy and integrity of the brain's white matter fibers. We evaluated the accuracy and reliability of commonly used diffusion imaging methods as a function of data quantity and analysis metho
Externí odkaz:
https://doaj.org/article/355b97fc2a9f4b1c846b453a5ea28535
Autor:
Adam T. Eggebrecht, Ally Dworetsky, Zoë Hawks, Rebecca Coalson, Babatunde Adeyemo, Savannah Davis, Daniel Gray, Alana McMichael, Steven E. Petersen, John N. Constantino, John R. Pruett
Publikováno v:
Molecular Autism, Vol 11, Iss 1, Pp 1-13 (2020)
Abstract Background Autism spectrum disorder (ASD) is characterized by high population-level heritability and a three-to-one male-to-female ratio that occurs independent of sex linkage. Prior research in a mixed-sex pediatric sample identified neural
Externí odkaz:
https://doaj.org/article/ab226822651e42168636ef07dd0de54b
Autor:
Ally Dworetsky, Benjamin A. Seitzman, Babatunde Adeyemo, Maital Neta, Rebecca S. Coalson, Steven E. Petersen, Caterina Gratton
Publikováno v:
NeuroImage, Vol 237, Iss , Pp 118164- (2021)
Many recent developments surrounding the functional network organization of the human brain have focused on data that have been averaged across groups of individuals. While such group-level approaches have shed considerable light on the brain's large
Externí odkaz:
https://doaj.org/article/3d13e5a3c936425ebdeaf09a385266fd
Autor:
Caterina Gratton, Ally Dworetsky, Rebecca S. Coalson, Babatunde Adeyemo, Timothy O. Laumann, Gagan S. Wig, Tania S. Kong, Gabriele Gratton, Monica Fabiani, Deanna M. Barch, Daniel Tranel, Oscar Miranda-Dominguez, Damien A. Fair, Nico U.F. Dosenbach, Abraham Z. Snyder, Joel S. Perlmutter, Steven E. Petersen, Meghan C. Campbell
Publikováno v:
NeuroImage, Vol 217, Iss , Pp 116866- (2020)
Denoising fMRI data requires assessment of frame-to-frame head motion and removal of the biases motion introduces. This is usually done through analysis of the parameters calculated during retrospective head motion correction (i.e., ‘motion’ para
Externí odkaz:
https://doaj.org/article/32f825d4376848a38db47011f8d97d01
Autor:
Damien A. Fair, Oscar Miranda-Dominguez, Abraham Z. Snyder, Anders Perrone, Eric A. Earl, Andrew N. Van, Jonathan M. Koller, Eric Feczko, M. Dylan Tisdall, Andre van der Kouwe, Rachel L. Klein, Amy E. Mirro, Jacqueline M. Hampton, Babatunde Adeyemo, Timothy O. Laumann, Caterina Gratton, Deanna J. Greene, Bradley L. Schlaggar, Donald J. Hagler, Jr., Richard Watts, Hugh Garavan, Deanna M. Barch, Joel T. Nigg, Steven E. Petersen, Anders M. Dale, Sarah W. Feldstein-Ewing, Bonnie J. Nagel, Nico U.F. Dosenbach
Publikováno v:
NeuroImage, Vol 208, Iss , Pp 116400- (2020)
Head motion represents one of the greatest technical obstacles in magnetic resonance imaging (MRI) of the human brain. Accurate detection of artifacts induced by head motion requires precise estimation of movement. However, head motion estimates may
Externí odkaz:
https://doaj.org/article/42b3cab852ae4d1c90f8151a5c08750e
Publikováno v:
Cell Reports, Vol 17, Iss 5, Pp 1276-1288 (2016)
Summary: Humans easily and flexibly complete a wide variety of tasks. To accomplish this feat, the brain appears to subtly adjust stable brain networks. Here, we investigate what regional factors underlie these modifications, asking whether networks
Externí odkaz:
https://doaj.org/article/405422424ad84c5fa73ce93e25af46b2
Autor:
John R. Pruett, Jr., Sridhar Kandala, Sarah Hoertel, Abraham Z. Snyder, Jed T. Elison, Tomoyuki Nishino, Eric Feczko, Nico U.F. Dosenbach, Binyam Nardos, Jonathan D. Power, Babatunde Adeyemo, Kelly N. Botteron, Robert C. McKinstry, Alan C. Evans, Heather C. Hazlett, Stephen R. Dager, Sarah Paterson, Robert T. Schultz, D. Louis Collins, Vladimir S. Fonov, Martin Styner, Guido Gerig, Samir Das, Penelope Kostopoulos, John N. Constantino, Annette M. Estes, Steven E. Petersen, Bradley L. Schlaggar, Joseph Piven
Publikováno v:
Developmental Cognitive Neuroscience, Vol 12, Iss C, Pp 123-133 (2015)
Human large-scale functional brain networks are hypothesized to undergo significant changes over development. Little is known about these functional architectural changes, particularly during the second half of the first year of life. We used multiva
Externí odkaz:
https://doaj.org/article/8280402f2e0e4aa0b9fefcb9be2ad0f1
Autor:
Sharmila Thippabhotla, Babatunde Adeyemo, Sarah A Cooley, June Roman, Nicholas Metcalf, Anna Boerwinkle, Julie Wisch, Robert Paul, Beau M Ances
Publikováno v:
The Journal of Infectious Diseases.
Background This study examined the effects of HIV on resting state functional connectivity (RSFC) in a large cohort of people living with HIV (PWH) and healthy controls without HIV (PWoH). Within PWH analyses focused on the effects of viral suppressi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::53f7f7fd3e5a64a4a69323e165660269
https://doi.org/10.1093/infdis/jiad180
https://doi.org/10.1093/infdis/jiad180
Autor:
Benjamin P. Kay, David F. Montez, Scott Marek, Brenden Tervo-Clemmens, Joshua S. Siegel, Babatunde Adeyemo, Timothy O. Laumann, Athanasia Metoki, Roselyne J. Chauvin, Andrew N. Van, Samuel R. Krimmel, Ryland L. Miller, Dillan J. Newbold, Annie Zheng, Nicole A. Seider, Kristen M. Scheidter, Julia Monk, Eric Feczko, Anita Randolph, Oscar Miranda-Dominguez, Lucille A. Moore, Anders J. Perrone, Gregory M. Conan, Eric A. Earl, Stephen M. Malone, Michaela Cordova, Olivia Doyle, Benjamin J. Lynch, James C. Wilgenbusch, Thomas Pengo, Alice M. Graham, Jarod L. Roland, Evan M. Gordon, Abraham Z. Snyder, Deanna M. Barch, Damien A. Fair, Nico U.F. Dosenbach
Between-participant differences in head motion introduce systematic bias to resting state fMRI brain-wide association studies (BWAS) that is not completely removed by denoising algorithms. Researchers who study traits, or phenotypes associated with i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc78cd4f42e0ced298a32f32e6043b52
https://doi.org/10.1101/2022.12.16.520797
https://doi.org/10.1101/2022.12.16.520797
