Resting-state functional connectivity predicts individual language impairment of patients with left hemispheric gliomas involving language network
NeuroImage: Clinical Oct 26, 2019
Yuan B, et al. - Researchers hypothesized that glioma would influence widespread network disruptions, including the language network. The resting-state functional connectivity of 126 individuals with left cerebral gliomas involving language network areas, comprising 77 individuals with low-grade glioma (LGG) and 49 individuals with high-grade glioma (HGG) was measured. The aphasia quotient (AQ) scores for HGG individuals were significantly lower compared with those of LGG individuals. The prognostication exactitude was much higher, of HGG vs LGG individuals. The resting-state functional connectivity regions ominous of LGG's AQ included the bilateral frontal, temporal, and parietal lobes, subcortical regions, and bilateral cerebro-cerebellar connections, principally in regions pertaining to the canonical language networks. The functional network of language processing for HGG individuals exhibited a robust interdependence on connections of the left cerebro-cerebellar connections, limbic system, and the temporal, occipital, and prefrontal lobes. Collectively, the findings inferred that in LGG as well as HGG patients, individual language processing of glioma individuals connections large-scale, bilateral, cortico-subcortical, and cerebro-cerebellar functional networks with varying language network reorganizational mechanisms underlying the various levels of behavioral impairments.
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