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

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Bibliographic Details
Title:	Resting-State Functional Magnetic Resonance Imaging Networks as a Quantitative Metric for Impact of Neurosurgical Interventions.
Authors:	Yang PH; Department of Neurological Surgery, Washington University School of Medicine, St. Louis, MO, United States., Hacker CD; Department of Neurological Surgery, Washington University School of Medicine, St. Louis, MO, United States., Patel B; Department of Neurological Surgery, Washington University School of Medicine, St. Louis, MO, United States., Daniel AGS; Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO, United States., Leuthardt EC; Department of Neurological Surgery, Washington University School of Medicine, St. Louis, MO, United States.; Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO, United States.; Department of Neuroscience, Washington University School of Medicine, St. Louis, MO, United States.; Center for Innovation in Neuroscience and Technology, Washington University School of Medicine, St. Louis, MO, United States.; Brain Laser Center, Washington University School of Medicine, St. Louis, MO, United States.
Source:	Frontiers in neuroscience [Front Neurosci] 2021 Oct 29; Vol. 15, pp. 665016. Date of Electronic Publication: 2021 Oct 29 (Print Publication: 2021).
Publication Type:	Journal Article
Journal Info:	Publisher: Frontiers Research Foundation Country of Publication: Switzerland NLM ID: 101478481 Publication Model: eCollection Cited Medium: Print ISSN: 1662-4548 (Print) Linking ISSN: 1662453X NLM ISO Abbreviation: Front Neurosci Subsets: PubMed not MEDLINE
Database:	MEDLINE Ultimate

Description
ISSN:	1662-4548
DOI:	10.3389/fnins.2021.665016