Resting-State Functional Magnetic Resonance Imaging for Brain Tumor Surgical Planning: Feasibility in Clinical Setting

Sparacia, Gianvincenzo; Parla, Giuseppe; Cannella, Roberto; Perri, Alessandro; Re, Vincenzina Lo; Mamone, Giuseppe; Miraglia, Roberto; Torregrossa, Fabio; Grasso, Giovanni

doi:10.1016/j.wneu.2019.07.022

Cited by 13 publications

(26 citation statements)

References 33 publications

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“…Functional connectivity assessment with rest-fMRI has been demonstrated to be useful in the preoperative localization of the eloquent cortex aimed to reduce the risk of surgery-induced neurologic deficits. 1,2,14,19 The main advantage of rest-fMRI is that it does not require any patient activity and thus can be used in young children and in patients who are aphasic, paretic, or under anesthesia. Multiple function networks can be identified with rest-fMRI also in patients who may not be fully cooperative.…”

Section: Discussionmentioning

confidence: 99%

“…This can be achieved by several methods: an automatic or semiautomatic procedure with independent component analysis or through a spatial matching with respect to network templates 16,21 or manually with a seed-based approach, where predefined regions of interest (ROIs) are selected based on a-priori hypothesis using the Brodmann atlas coordinates. [1][2][3] Novel alternative methods, such as machine-learning approaches, 17,22 cortical parcellating approach, 8,23 or graph analyses, 7 are also used for easier-to-use methods in the clinical practice.…”

Section: Resting-state Fmri Analysismentioning

confidence: 99%

“…This connectivity patterns are represented as "networks" between active regions of the brain and are called resting-state networks (RSNs). 2,3 Temporally coherent networks can be reliable assessed by rest-fMRI and are well recognized in the literature based on the different functions of the brain that they accomplish, such as vision, language, motor, and attention. 1,4,5 Assessment of RSNs by rest-fMRI shows a high reproducibility; thus, this technique became a valid method for examination of the intrinsic functional architecture, or "connectome," of the human brain.…”

Section: Introductionmentioning

confidence: 99%

“…8,9 Although serval recent studies have explored the potential applications of resting-state fMRI in various neurologic diseases, [10][11][12][13] the value of this technique in the neurosurgical planning of patients with brain tumors was not fully defined. 2,3,[14][15][16][17][18][19] Therefore, further validation is necessary to prove the clinical value of rest-fMRI for neurosurgical planning of brain tumors. Moreover, rest-fMRI potentially could allow evaluating functional reorganization in patients after neurosurgical resection of brain tumors.…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, rest-fMRI potentially could allow evaluating functional reorganization in patients after neurosurgical resection of brain tumors. 2,14,19 There is a limited report in the literature of the changes in intersubject and intrasubject variability of the RSNs in patients with brain tumors undergoing surgery using intraoperative rest-fMRI. 19 The aim of this study, therefore, was to map the functional connectome of known RSNs in single subjects and in group analysis before and after surgical resection of brain tumors in a routine clinical setting and to assess changes in neuronal networks related to the surgery.…”

Section: Introductionmentioning

confidence: 99%

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Resting-State Functional Connectome in Patients with Brain Tumors Before and After Surgical Resection

Sparacia

Parla

et al. 2020

World Neurosurgery

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High-grade glioma surgery has evolved around the principal belief that a safe maximal tumor resection improves symptoms, quality of life, and survival. Mapping brain function has been recently improved by resting-state functional magnetic resonance imaging (rest-fMRI), a novel imaging technique that explores networks connectivity at "rest."-METHODS: This prospective study analyzed 10 patients with high-grade glioma in whom rest-fMRI connectivity was assessed both in single-subject and in group analysis before and after surgery. Seed-based functional connectivity analysis was performed with CONN toolbox. Network identification focused on 8 major functional connectivity networks. A voxel-wise region of interest (ROI) to ROI correlation map to assess functional connectivity throughout the whole brain was computed from a priori seeds ROI in specific resting-state networks before and after surgical resection in each patient.-RESULTS: Reliable topography of all 8 resting-state networks was successfully identified in each participant before surgical resection. Single-subject functional connectivity analysis showed functional disconnection for dorsal attention and salience networks, whereas the language network demonstrated functional connection either in the case of left temporal glioblastoma. Functional connectivity in group analysis showed wide variations of functional connectivity in the default mode, salience, and sensorimotor networks. However, salience and language networks, salience and default mode networks, and salience and sensorimotor networks showed a significant correlation (P uncorrected <0.0025; P false discovery rate <0.077) in comparison before and after surgery confirming non-disconnection of these networks.-CONCLUSIONS: Resting-state fMRI can reliably detect common functional connectivity networks in patients with glioma and has the potential to anticipate network alterations after surgical resection.

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Section: Discussionmentioning

confidence: 99%