title: Altered Resting-State Functional Connectivity in the Hand Motor Network in Glioma Patients.
abstract: To examine the functional connectivity of the primary and supplementary motor areas (SMA) in glioma patients using resting-state functional MRI (rfMRI). To correlate rfMRI data with tumor characteristics and clinical information to characterize functional reorganization of resting-state networks (RSN) and the limitations of this method. This study was IRB approved and in compliance with Health Insurance Portability and Accountability Act. Informed consent was waived in this retrospective study. We analyzed rfMRI in 24 glioma patients and 12 age- and sex-matched controls. We compared global activation, interhemispheric connectivity, and functional connectivity in the hand motor RSNs using hemispheric voxel counts, pairwise Pearson correlation, and pairwise total spectral coherence. We explored the relationship between tumor grade, volume, location, and the patient's clinical status to functional connectivity. Global network activation and interhemispheric connectivity were reduced in gliomas (p < 0.05). Functional connectivity between the bilateral motor cortices and the SMA was reduced in gliomas (p < 0.01). High-grade gliomas had lower functional connectivity than low-grade gliomas (p < 0.05). Tumor volume and distance to ipsilateral motor cortex demonstrated no association with functional connectivity loss. Functional connectivity loss is associated with motor deficits in low-grade gliomas, but not in high-grade gliomas. Global reduction in resting-state connectivity in areas distal to tumor suggests that radiological tumor boundaries underestimate areas affected by glioma. Association between motor deficits and rfMRI suggests that rfMRI may accurately reflect functional changes in low-grade gliomas. Lack of association between rfMRI and clinical motor deficits implies decreased sensitivity of rfMRI in high-grade gliomas, possibly due to neurovascular uncoupling.
authors.affiliation: 1 Functional MRI Laboratory, Department of Radiology, Memorial Sloan-Kettering Cancer Center , New York, New York.|2 Perelman School of Medicine at the University of Pennsylvania , Philadelphia, Pennsylvania.
authors.forename: Arka N
authors.initials: AN
authors.lastname: Mallela
authors.affiliation: 1 Functional MRI Laboratory, Department of Radiology, Memorial Sloan-Kettering Cancer Center , New York, New York.|3 Department of Medical Physics, Memorial Sloan-Kettering Cancer Center , New York, New York.
authors.forename: Kyung K
authors.initials: KK
authors.lastname: Peck
authors.affiliation: 1 Functional MRI Laboratory, Department of Radiology, Memorial Sloan-Kettering Cancer Center , New York, New York.
authors.forename: Nicole M
authors.initials: NM
authors.lastname: Petrovich-Brennan
authors.affiliation: 4 Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center , New York, New York.
authors.forename: Zhigang
authors.initials: Z
authors.lastname: Zhang
authors.affiliation: 1 Functional MRI Laboratory, Department of Radiology, Memorial Sloan-Kettering Cancer Center , New York, New York.|5 Weill Cornell Medical College , New York, New York.
authors.forename: William
authors.initials: W
authors.lastname: Lou
authors.affiliation: 1 Functional MRI Laboratory, Department of Radiology, Memorial Sloan-Kettering Cancer Center , New York, New York.|6 Brain Tumor Center, Memorial Sloan-Kettering Cancer Center , New York, New York.
authors.forename: Andrei I
authors.initials: AI
authors.lastname: Holodny
keywords: functional connectivity; glioma; primary motor cortex; resting state functional MRI; resting state network