Journal
Journal of neuroscience methods
Publication Date
2-1-2024
Volume
402
First Page
110011
Document Type
Open Access Publication
DOI
10.1016/j.jneumeth.2023.110011
Rights and Permissions
Park KY, Shimony JS, Chakrabarty S, Tanenbaum AB, Hacker CD, Donovan KM, Luckett PH, Milchenko M, Sotiras A, Marcus DS, Leuthardt EC, Snyder AZ. Optimal approaches to analyzing functional MRI data in glioma patients. J Neurosci Methods. 2024 Feb;402:110011. doi: 10.1016/j.jneumeth.2023.110011. ©2023 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/bync-nd/4.0/).
Recommended Citation
Park, Ki Yun; Shimony, Joshua S; Chakrabarty, Satrajit; Tanenbaum, Aaron B; Hacker, Carl D; Donovan, Kara M; Luckett, Patrick H; Milchenko, Mikhail; Sotiras, Aristeidis; Marcus, Daniel S; Leuthardt, Eric C; and Snyder, Abraham Z, "Optimal approaches to analyzing functional MRI data in glioma patients." Journal of neuroscience methods. 402, 110011 (2024).
https://digitalcommons.wustl.edu/oa_4/3640
Department
ICTS (Institute of Clinical and Translational Sciences)
Additional Links
Supplemental material is available for this article at publisher site.
