Fig. 5: Network connectivity explains Hyperacusis severity.
From: Sparse machine learning of resting-state fMRI reveals brain-wide dysconnectivity in hyperacusis
Pearson’s correlation between participant hyperacusis score (HQ17) and measures of model-weighted (left panel) and unweighted (right panel) network connectivity. Statistically significant correlation values (two-sided non-parametric test) are highlighted with black dots for pcorrected < 0.05 and white circles for pcorrected < 0.001. None of the correlations with unweighted FC were significant. 95% confidence intervals and p values are shown in Supplementary Fig. 9, and correlation plots in Supplementary Fig. 10. pcorrected values were corrected for multiple comparisons using Benjamini-Yekutieli25 method. Control: frontoparietal control, DMN: default mode, D. Attn: dorsal attention, Limbic: limbic network, Salien: salience/Ventral attention, SoMot: somatomotor, SubCx: subcortex, TemPar: temporo-parietal, Visual: visual network.
