Tumor grade-related language and control network reorganization in patients with left cerebral glioma

Cortex. 2020 Aug:129:141-157. doi: 10.1016/j.cortex.2020.04.015. Epub 2020 May 7.

Abstract

Language processing relies on both a functionally specialized language network and a domain-general cognitive control network. Yet, how the two networks reorganize after damage resulting from diffuse and progressive glioma remains largely unknown. To address this issue, 130 patients with left cerebral gliomas, including 77 patients with low-grade glioma (LGG, WHO grade Ⅰ/II), 53 patients with high-grade glioma (HGG, WHO grade III/IV) and 38 healthy controls (HC) were adopted. The changes in resting-state functional connectivity (rsFC) of the language network and the cingulo-opercular/fronto-parietal (CO-FP) network were examined using network-based statistics. We found that tumor grade negatively correlated with language scores and language network integrity. Compared with HCs, patients with LGGs exhibited slight language deficits, both decreased and increased changes in rsFC of language network, and nearly normal CO-FP network. Patients with HGGs had significantly lower language scores than those with LGG and exhibited more severe language and CO-FP network disruptions than HCs or patients with LGGs. Moreover, we found that in patients with HGGs, the decreased rsFCs of language network were positively correlated with language scores. Together, our findings suggest tumor grade-related network reorganization of both language and control networks underlie the different levels of language impairments observed in patients with gliomas.

Keywords: Executive function; Glioma; Language; Plasticity; Resting-state fMRI.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Brain Neoplasms*
  • Glioma*
  • Humans
  • Language
  • Language Disorders*
  • Magnetic Resonance Imaging