Fig. 2: PLS reveals one robust dimension linking sleep health and resting-state function connectivity in the discovery dataset.
From: Covariance patterns between sleep health domains and distributed intrinsic functional connectivity
a The amount of covariance explained by each latent variable (LV). Each orange dot represents a LV, only the first LV (LV1) survived after permutation testing with FDR correction (q < 0.05). This survived dimension (LV1) accounted for 28.6% of resting-state functional connectivity (RSFC)-behavior covariance. b scatter plots to illustrate the significant association between individual-specific RSFC and behavioral composite scores of participants in LV1 (r = 0.50, two-sided, permuted p = 6.0 × 10-4) using Pearson correlational analysis. c significant 27 strongest correlations between participants’ behavioral measures and their behavioral composite scores on the group level. Greater loading on LV1 was associated with poorer sleep health. Error bars indicate bootstrapped standard deviation with 1000 bootstrap estimations (n = 1000). Behavioral measures for which higher values indicate better sleep health are colored blue. For example, sleep efficiency is colored blue because higher values indicate better sleep health. d unthresholded correlations between participants’ RSFC data and their RSFC composite scores. Red (or blue) color indicates that greater RSFC is positively (or negatively) associated with LV1. e thresholded correlations between participants’ RSFC data and their RSFC composite scores (false discovery rate q < 0.05). The significant edges were widely distributed throughout the brain, contained a small portion of the total edges in the connectome (5956 edges total out of 30135 or 19.76%). A total of 2666 common edges (8.85% of the 30135 total edges) positively correlated with RSFC composite score and a total of 3290 common edges (10.92% of the 30315 total edges) negatively correlated with RSFC composite score. f correlations between participants’ RSFC data and their RSFC composite scores, averaged within and between networks defined by Yeo et al’s seven networks with significant bootstrapped Z-scores. The pink line represents a positive correlation while the blue line represents a negative correlation. DMN, Default mode network; PSQI-T, total score of Pittsburgh Sleep Quality Index. DBAS, Dysfunctional beliefs, and attitudes about sleep scale. FPN Fronto-parietal network, VN Visual network, SMN Somatomotor network, DAN dorsal attention network, VAN ventral attention network, LN limbic network. Source data are provided as a Source Data file.
