Journal
Brain Communications
Publication Date
1-1-2021
Volume
3
Issue
4
First Page
fcab233
Document Type
Open Access Publication
DOI
10.1093/braincomms/fcab233
Rights and Permissions
Mohit H Adhikari and others, Effective connectivity extracts clinically relevant prognostic information from resting state activity in stroke, Brain Communications, Volume 3, Issue 4, 2021, fcab233, https://doi.org/10.1093/braincomms/fcab233. https://academic.oup.com/braincomms/article/3/4/fcab233/6409181?login=true. © The Author(s) (2021). Published by Oxford University Press on behalf of the Guarantors of Brain. This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com.
Recommended Citation
Adhikari, Mohit H; Griffis, Joseph; Siegel, Joshua S; Thiebaut de Schotten, Michel; Deco, Gustavo; Instabato, Andrea; Gilson, Matthieu; and Corbetta, Maurizio, "Effective connectivity extracts clinically relevant prognostic information from resting state activity in stroke." Brain Communications. 3, 4. fcab233 (2021).
https://digitalcommons.wustl.edu/oa_4/1804
Department
ICTS (Institute of Clinical and Translational Sciences)
Additional Links
Supplemental material is available for this article at publisher site.
