Abstract
Brain tumors can have far-reaching impacts on functional networks. Language processing is typically lateralized to the left hemisphere, but also involves the right hemisphere and cerebellum. This resting-state functional MRI study investigated the proximal and distal effects of left-hemispheric brain tumors on language network connectivity in the ipsilesional and contralesional hemispheres. Separate language resting-state networks were generated from seeding in ipsilesional (left) and contralesional (right) Broca’s Area for 29 patients with left-hemispheric brain tumors and 13 controls. Inclusion criteria for all subjects included language left-dominance based on task-based functional MRI. Functional connectivity was analyzed in each network to the respective Wernicke’s Area and contralateral cerebellum. Patients were assessed for language deficits prior to scanning. Compared to controls, patients exhibited decreased connectivity in the ipsilesional and contralesional hemispheres between the Broca’s Area and Wernicke’s Area homologs (mean connectivity for patients/controls: left 0.51/0.59, p < 0.002; right 0.52/0.59, p < 0.0002). No differences in mean connectivity to the contralateral cerebellum were observed between groups (p > 0.09). Crossed cerebro-cerebellar connectivity was correlated in controls (rho = 0.59, p < 0.05), patients without language deficits (rho = 0.74, p < 0.0002), and patients with high-grade gliomas (rho = 0.78, p < 0.0002), but not in patients with language deficits or low-grade gliomas (p > 0.l). These findings demonstrate that brain tumors impact the language network in the contralesional hemisphere and cerebellum, which may reflect neurological deficits and lesion-induced cortical reorganization.
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This study was funded by the National Institute of Health (NIH) and National Cancer Institute (NCI): NIH-NIBIB 1R01EB022720-01, NIH-NCI 1R21CA220144-01, NIH-NIGMS Training Grant GM008042.
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Author contributions included conception and study design (NC, KP, AH), data collection or acquisition (MG, MJ), statistical analysis (NC, KP, AH), interpretation of results (all authors), and drafting the manuscript (all authors).
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Cho, N.S., Peck, K.K., Gene, M.N. et al. Resting-state functional MRI language network connectivity differences in patients with brain tumors: exploration of the cerebellum and contralesional hemisphere. Brain Imaging and Behavior 16, 252–262 (2022). https://doi.org/10.1007/s11682-021-00498-5
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DOI: https://doi.org/10.1007/s11682-021-00498-5