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

Yang, Peter; Hacker, Carl D.; Patel, Bhuvic; Daniel, Andy G. S.; Leuthardt, Eric C.

doi:10.3389/fnins.2021.665016

Cited by 4 publications

(2 citation statements)

References 43 publications

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“…Similarly, resting-state fMRI has been frequently used to define the topography of networks associated with language and motor behavior ( Hacker et al, 2019 ; Kumar et al, 2020 ; Mitchell et al, 2020 ; Daniel et al, 2021 ; Yang P. et al, 2021 ). Commonly, these studies employ seed-based correlation ( Figure 7 ) analyses to define the boundaries of these networks for the purpose of surgical planning ( Hacker et al, 2019 ).…”

Section: Applications Of Network and Mapping Techniques To Brain Tumo...mentioning

confidence: 99%

Large-scale brain networks and intra-axial tumor surgery: a narrative review of functional mapping techniques, critical needs, and scientific opportunities

Boerger

Pahapill

Butts

et al. 2023

Front. Hum. Neurosci.

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In recent years, a paradigm shift in neuroscience has been occurring from “localizationism,” or the idea that the brain is organized into separately functioning modules, toward “connectomics,” or the idea that interconnected nodes form networks as the underlying substrates of behavior and thought. Accordingly, our understanding of mechanisms of neurological function, dysfunction, and recovery has evolved to include connections, disconnections, and reconnections. Brain tumors provide a unique opportunity to probe large-scale neural networks with focal and sometimes reversible lesions, allowing neuroscientists the unique opportunity to directly test newly formed hypotheses about underlying brain structural-functional relationships and network properties. Moreover, if a more complete model of neurological dysfunction is to be defined as a “disconnectome,” potential avenues for recovery might be mapped through a “reconnectome.” Such insight may open the door to novel therapeutic approaches where previous attempts have failed. In this review, we briefly delve into the most clinically relevant neural networks and brain mapping techniques, and we examine how they are being applied to modern neurosurgical brain tumor practices. We then explore how brain tumors might teach us more about mechanisms of global brain dysfunction and recovery through pre- and postoperative longitudinal connectomic and behavioral analyses.

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Section: Applications Of Network and Mapping Techniques To Brain Tumo...mentioning

confidence: 99%

Large-scale brain networks and intra-axial tumor surgery: a narrative review of functional mapping techniques, critical needs, and scientific opportunities

Boerger

Pahapill

Butts

et al. 2023

Front. Hum. Neurosci.

View full text Add to dashboard Cite

show abstract

“…These topographies are sometimes referred to as resting state networks (RSNs). [19][20][21] Rs-fMRI and T-fMRI are fundamentally distinct in terms of their analytical approach and methodology. RS-fMRI centers on the spontaneous fluctuations in blood oxygen level-dependent (BOLD) signals observed during a resting state, devoid of any specific task execution, as opposed to T-fMRI, which measures brain activity by comparing BOLD signals during specific tasks to baseline periods.…”

Section: Introductionmentioning

confidence: 99%

Systematic Review Between Resting-State fMRI and Task fMRI in Planning for Brain Tumour Surgery

Abu Mhanna,

Omar,

Md Radzi

et al. 2024

JMDH

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As an alternative to task-based functional magnetic resonance imaging (T-fMRI), resting-state functional magnetic resonance imaging (Rs-fMRI) is suggested for preoperative mapping of patients with brain tumours, with an emphasis on treatment guidance and neurodegeneration prediction. A systematic review was conducted of 18 recent studies involving 1035 patients with brain tumours and Rs-fMRI protocols. This was accomplished by searching the electronic databases PubMed, Scopus, and Web of Science. For clinical benefit, we compared Rs-fMRI to standard T-fMRI and intraoperative direct cortical stimulation (DCS). The results of Rs-fMRI and T-fMRI were compared and their correlation with intraoperative DCS results was examined through a systematic review. Our exhaustive investigation demonstrated that Rs-fMRI is a dependable and sensitive preoperative mapping technique that detects neural networks in the brain with precision and identifies crucial functional regions in agreement with intraoperative DCS. Rs-fMRI comes in handy, especially in situations where T-fMRI proves to be difficult because of patient-specific factors. Additionally, our exhaustive investigation demonstrated that Rs-fMRI is a valuable tool in the preoperative screening and evaluation of brain tumours. Furthermore, its capability to assess brain function, forecast surgical results, and enhance decision-making may render it applicable in the clinical management of brain tumours.

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Guiding Thermal Therapy with MR

Tyc,

Torchia

2023

The Application of Heat in Oncology

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

Cited by 4 publications

References 43 publications

Large-scale brain networks and intra-axial tumor surgery: a narrative review of functional mapping techniques, critical needs, and scientific opportunities

Large-scale brain networks and intra-axial tumor surgery: a narrative review of functional mapping techniques, critical needs, and scientific opportunities

Systematic Review Between Resting-State fMRI and Task fMRI in Planning for Brain Tumour Surgery

Guiding Thermal Therapy with MR

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