Resting-State Functional Magnetic Resonance Imaging Networks as a Quantitative Metric for Impact of Neurosurgical Interventions.

Yang PH, Hacker CD, Patel B, Daniel AGS, Leuthardt EC.

Open source

DOI: 10.3389/fnins.2021.665016
Published: 2021-10-29
Container: Front Neurosci
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fnins.2021.665016,
  title = {Resting-State Functional Magnetic Resonance Imaging Networks as a Quantitative Metric for Impact of Neurosurgical Interventions.},
  author = {Yang PH and  Hacker CD and  Patel B and  Daniel AGS and  Leuthardt EC.},
  year = {2021},
  journal = {Front Neurosci},
  doi = {10.3389/fnins.2021.665016},
  url = {https://doi.org/10.3389/fnins.2021.665016}
}

RIS

TY  - JOUR
TI  - Resting-State Functional Magnetic Resonance Imaging Networks as a Quantitative Metric for Impact of Neurosurgical Interventions.
AU  - Yang PH
AU  -  Hacker CD
AU  -  Patel B
AU  -  Daniel AGS
AU  -  Leuthardt EC.
PY  - 2021
JO  - Front Neurosci
DO  - 10.3389/fnins.2021.665016
UR  - https://doi.org/10.3389/fnins.2021.665016
ER  -

APA

PH, Y., CD, H., B, P., AGS, D., & EC., L. (2021). Resting-State Functional Magnetic Resonance Imaging Networks as a Quantitative Metric for Impact of Neurosurgical Interventions.. Front Neurosci. https://doi.org/10.3389/fnins.2021.665016

Source records

europe-pmc · retrieved 2026-09-26T21:21:33.512Z
doaj · retrieved 2026-09-26T21:21:33.521Z