Article Figures & Data
Figures
- Figure 1.
Visualization of positive and negative daily affect across sessions, colored by subject. A higher score indicates greater levels of positive or negative daily affect. Mean scores averaged across subjects at each session are visualized in black.
- Figure 2.
Daily affect in relation to within-network connectivity of hypothesized networks. Associations between positive daily affect (light gray bars) and negative daily affect (dark gray bars) in relation to univariate within-network connectivity of hypothesized networks, with error bars representing 95% confidence intervals. Network-level SES statistics were calculated as the difference between the network-level observed effect and the mean of the network-level permuted null, over the standard deviation of the network-level permuted null. SES, standardized effect size; DMN, default mode network; SAL/CO, salience/cingulo-opercular network; FP, frontoparietal network; DAN, dorsal attention network; VIS, visual network; SUBCTX, amygdala and nucleus accumbens.
- Figure 3.
Exploratory effects of daily affect on network-level connectivity. Standardized effect sizes were calculated as the difference between the network-level observed effect and permuted network-level null mean over the permuted network-level null standard deviation. SES, standardized effect size; DMN, default mode network; SAL/CO, salience/cingulo-opercular network; FP, frontoparietal network; DAN, dorsal attention network; PON, parietal occipital network; VIS, visual network; AUD, auditory network; SM, sensorimotor network; SUBCTX, amygdala and nucleus accumbens.
- Figure 4.
Proportional variance explained by daily affect and common covariates. The contribution of positive and negative daily affect in comparison with other predictor variables for explaining functional connectivity variance, considered at the whole-brain level (all within- and between-network connections) and for hypothesized networks. Positive and negative daily affect were considered in separate mixed-effects models and improvement in model r2c was assessed following stepwise addition of predictor variables which were then represented proportionally to the total variance explained. Any variables not visualized had a negative impact on model r2c. DMN, default mode network; SAL/CO, salience/cingulo-opercular network; FP, frontoparietal network; DAN, dorsal attention network; VIS, visual network; SUBCTX, amygdala and nucleus accumbens.
Tables
Characteristic Sample description Male/female (n) 12/12 Age [M ± SD (range)] 41.15 ± 3.60 (33.75–47.13) Ethnicity (n) White/Caucasian 22 Asian 2 Highest education level (n) High school 6 Bachelor's degree 11 Master's degree 4 Professional school degree 3 PANAS-X positive affect [M ± SD (range)] 26.51 ± 6.48 (12–39) PANAS-X negative affect [M ± SD (range)] 11.86 ± 3.67 (9–30) Mean framewise displacement [mm; M ± SD (range)] 0.08 ± 0.03 (0.04–0.20) Drowsiness [M ± SD (range)] 2.07 ± 2.11 (0–6) n, sample size; M, mean; SD, standard deviation; PANAS-X, Positive and Negative Affect Schedule Expanded Form.
- Table 2.
Positive and negative daily affect and hypothesized univariate network connectivity
Network Positive affect Negative affect t (95% CI) SES (95% CI) pone-tailed t (95% CI) SES (95% CI) pone-tailed DMN–DMN 0.42 (−0.92 to 1.77) 0.63 (−1.37 to 2.63) 0.26 −0.37 (−1.41 to 0.68) −0.75 (−2.75 to 1.25) 0.23 SAL/CO–SAL/CO −0.06 (−1. 67 to 1.55) −0.07 (−2.07 to 1.93) 0.49 −0.36 (−1.72 to 1.00) −0.58 (−2.58 to 1.42) 0.27 FP–FP −0.37 (−1.47 to 0.74) −0.60 (−2.60 to 1.40) 0.28 −0.73 (−1.95 to 0.50) −1.15 (−3.15 to 0.85) 0.13 DAN–DAN −0.30 (−2.00 to 1.40) −0.26 (−2.03 to 1.52) 0.40 −0.69 (−2.05 to 0.67) −0.83 (−2.48 to 0.82) 0.21 VIS–VIS −0.68 (−2.74 to 1.38) −0.75 (−2.84 to 1.34) 0.22 0.00 (−1.75 to 1.75) 0.02 (−2.01 to 2.04) 0.50 SUBCTX–DMN −0.02 (−1.26 to 1.21) 0.01 (−1.99 to 2.01) 0.50 0.08 (−0.89 to 1.06) 0.23 (−1.77 to 2.23) 0.42 SUBCTX–SAL/CO −0.05 (−1.04 to 0.95) −0.13 (−2.13 to 1.87) 0.46 −0.65 (−1.63 to 0.32) −1.37 (−3.37 to 0.63) 0.10 Positive and negative daily affect in relation to hypothesized univariate network connectivity patterns. Network-level SES statistics were calculated as the difference between the network-level observed effect and the mean of the network-level permuted null, over the standard deviation of the network-level permuted null. t, network-level t-statistic calculated by averaging t-statistics across network edges; SES, standardized effect size; pone-tailed, one-tailed uncorrected probability value following 1,000 permutations; DMN, default mode network; SAL/CO, salience/cingulo-opercular network; FP, frontoparietal network; DAN, dorsal attention network; VIS, visual network; SUBCTX, amygdala and nucleus accumbens.
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