Resting-state functional connectivity predicts individual language impairment of patients with left hemispheric gliomas involving language network.

Neuroimage Clin · 2019 · PMC6838935 · PMID 31693978

Europe PMC DOI

hedged sentences

0.0600

closest p · 1.2× alpha

0.0600

boldest claim

The sentences

a positive trendP = 0.06so close (0.05 < p ≤ 0.1)

A positive trend of significance was observed for LGG patient's AQ ( r = 0.21, P = 0.06) scores.

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did not reach statistical significanceno p-value reported

The spontaneous speech ( t (119) = 1.61, P = 0.11) and repetition scores ( t (119) = 1.27, P = 0.208) of HGG patients were lower than LGG patients but did not reach statistical significance. 3.2 Whole-brain rsFCs predict AQ scores for both LGG and HGG patients As shown in Fig. 3 , the generated rsFC-based RVR models significantly predicted AQ scores for both LGG ( r = 0.299, permutation P = 0.032) and HGG patients ( r = 0.521, permutation P = 0.007).

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