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. 2021 Nov 9;118(46):e2108959118. doi: 10.1073/pnas.2108959118

Fig. 4.

Fig. 4.

Decodability of signals from normal-appearing and glioma-infiltrated cortex in motor areas. (A) In normal-appearing cortex, ERSPs during vocalization of polysyllabic words demonstrate unique temporal features. Using linear mixed-effects modeling, mean high-gamma activity in normal-appearing cortex was found to be significantly higher during vocalization of polysyllabic words (P = 0.0027). In glioma-infiltrated cortex, no statistically significant differences in high-gamma activity were found between polysyllabic and monosyllabic trial conditions. Black bar indicates time points in which the t test P value exceeded a threshold of P < 0.05 after Bonferroni corrections. (B) Above-chance decoding of monosyllabic from polysyllabic trials was achieved across in normal-appearing cortex (Left) but not in glioma-infiltrated cortex (Right) using a Bernoulli Naïve Bayes classifier. Decoding accuracy (acc; black bars) was significantly higher in normal-appearing cortex compared to glioma-infiltrated cortex (P = 0.019).