More widespread functionality of posterior language area in patients with brain tumors.
Riho NakajimaTakahiro OsadaMasashi KinoshitaAkitoshi OgawaHirokazu OkitaSeiki KonishiMitsutoshi NakadaPublished in: Human brain mapping (2024)
Damage to the posterior language area (PLA), or Wernicke's area causes cortical reorganization in the corresponding regions of the contralateral hemisphere. However, the details of reorganization within the ipsilateral hemisphere are not fully understood. In this context, direct electrical stimulation during awake surgery can provide valuable opportunities to investigate neuromodulation of the human brain in vivo, which is difficult through the non-invasive approaches. Thus, in this study, we aimed to investigate the characteristics of the cortical reorganization of the PLA within the ipsilateral hemisphere. Sixty-two patients with left hemispheric gliomas were divided into groups depending on whether the lesion extended to the PLA. All patients underwent direct cortical stimulation with a picture-naming task. We further performed functional connectivity analyses using resting-state functional magnetic resonance imaging (MRI) in a subset of patients and calculated betweenness centrality, an index of the network importance of brain areas. During direct cortical stimulation, the regions showing positive (impaired) responses in the non-PLA group were localized mainly in the posterior superior temporal gyrus (pSTG), whereas those in the PLA group were widely distributed from the pSTG to the posterior supramarginal gyrus (pSMG). Notably, the percentage of positive responses in the pSMG was significantly higher in the PLA group (47%) than in the non-PLA group (8%). In network analyses of functional connectivity, the pSMG was identified as a hub region with high betweenness centrality in both the groups. These findings suggest that the language area can spread beyond the PLA to the pSMG, a hub region, in patients with lesion progression to the pSTG. The change in the pattern of the language area may be a compensatory mechanism to maintain efficient brain networks.
Keyphrases
- resting state
- functional connectivity
- magnetic resonance imaging
- end stage renal disease
- autism spectrum disorder
- ejection fraction
- newly diagnosed
- computed tomography
- prognostic factors
- multiple sclerosis
- contrast enhanced
- patient reported outcomes
- oxidative stress
- white matter
- acute coronary syndrome
- brain injury
- diffusion weighted imaging
- neural network