Resting-state functional magnetic resonance imaging networks as a quantitative metric for impact of neurosurgical interventions

Authors

Peter H Yang, Washington University School of Medicine in St. Louis
Carl D Hacker, Washington University School of Medicine in St. Louis
Bhuvic Patel, Washington University School of Medicine in St. Louis
Andy G S Daniel, Washington University in St. Louis
Eric C Leuthardt, Washington University School of Medicine in St. Louis

Journal

Frontiers in Neuroscience

Publication Date

1-1-2021

Volume

15

First Page

665016

Document Type

Open Access Publication

DOI

10.3389/fnins.2021.665016

Rights and Permissions

Yang PH, Hacker CD, Patel B, Daniel AGS and Leuthardt EC (2021) Resting-State Functional Magnetic Resonance Imaging Networks as a Quantitative Metric for Impact of Neurosurgical Interventions. Front. Neurosci. 15:665016. doi: 10.3389/fnins.2021.665016 © 2021 Yang, Hacker, Patel, Daniel and Leuthardt. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

Recommended Citation

Yang, Peter H; Hacker, Carl D; Patel, Bhuvic; Daniel, Andy G S; and Leuthardt, Eric C, "Resting-state functional magnetic resonance imaging networks as a quantitative metric for impact of neurosurgical interventions." Frontiers in Neuroscience. 15, 665016 (2021).
https://digitalcommons.wustl.edu/open_access_pubs/11418