@inbook{5ecd527d66a54c2f96d216be36c739b9,
title = "Presurgical Resting-State fMRI",
abstract = "Purpose: Task functional MRI (fMRI) has traditionally been used to locate eloquent regions of the brain that are relevant to specific cognitive tasks, such as motor and language. This information is routinely used for pre-surgical planning. Resting-state fMRI uses alternative methods to find networks, but does not require any task performance by a patient. Materials and methods: Resting-state fMRI uses correlations in the blood oxygen level-dependent (BOLD) signal to identify connected regions across the brain that form networks. Several methods of analyzing the data have been applied to calculate resting-state networks. In particular, seed-based correlation mapping and independent component analysis are two commonly used techniques. Results: Multiple studies using these analysis techniques are described in this chapter. Resting-state data has been compared successfully with task fMRI and electrocortical stimulation mapping. Resting-state fMRI has been used as an adjunct to task fMRI in patients with brain tumors and epilepsy. Conclusions: Resting-state fMRI has been compared favorably to other methods of determining functional connectivity, including task fMRI and electrocortical stimulation. These results demonstrate great promise for the future of resting-state fMRI in pre-surgical planning.",
keywords = "Default mode network, Eloquent cortex, Functional connectivity, Language network, Pre-surgical planning",
author = "Shimony, {Joshua S.} and Lee, {John J.} and Seitzman, {Benjamin A.} and Patrick Luckett and Leuthardt, {Eric C.}",
note = "Funding Information: We wish to thank the National Institute of Health for its generous support of this project via NIH R01 CA203861. Dr. Shimony is additionally supported by the Eunice Kennedy Shriver National Institute of Child Health and Human Development of the National Institutes of Health under Award Number U54 HD087011 to the Intellectual and Developmental Disabilities Research Center at Washington University. Dr. Snyder is supported by P30 NS098577-01. Dr. Leuthardt is additionally supported by the Christopher Davidson Foundation. Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.",
year = "2022",
doi = "10.1007/978-3-030-83343-5_5",
language = "English",
series = "Medical Radiology",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "197--215",
booktitle = "Medical Radiology",
}