Jacqueline M. Hampton

According to our database, Jacqueline M. Hampton authored at least 3 papers between 2018 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Accuracy and reliability of diffusion imaging models.

Nicole A. Seider, Babatunde Adeyemo, Ryland Miller, Dillan J. Newbold, Jacqueline M. Hampton, Kristen M. Scheidter, Jerrel Rutlin, Timothy O. Laumann, Jarod 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, Nico U. F. Dosenbach

NeuroImage, 2022

2020

Correction of respiratory artifacts in MRI head motion estimates.

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, André J. W. 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, Nico U. F. Dosenbach

NeuroImage, 2020

2018

Behavioral interventions for reducing head motion during MRI scans in children.

Deanna J. Greene, Jonathan M. Koller, Jacqueline M. Hampton, Victoria Wesevich, Andrew N. Van, Annie L. Nguyen, Catherine R. Hoyt, Lindsey McIntyre, Eric A. Earl, Rachel L. Klein, Joshua S. Shimony, Steven E. Petersen, Bradley L. Schlaggar, Damien A. Fair, Nico U. F. Dosenbach

NeuroImage, 2018