Article Figures & Data
Figures
- Fig 1.
Summary of the analytic approach. For each participant, fMRI time-series were preprocessed, registered to their T1 anatomic scans, and parcellated into 268 regions. The mean blood oxygen level–dependent (BOLD) time course was extracted from each brain region, and correlations between regions were represented as a functional connectivity matrix. Each connectivity matrix was thresholded to create a weighted functional connectivity network. Network properties were computed, and their associations with health-related quality of life were assessed with linear models.
- Fig 2.
Associations between graph theory metrics and overall health-related quality of life (or total Quality of Life in Childhood Epilepsy score). The mean clustering coefficient shows a negative relationship with overall HRQL (A). Characteristic path length (B) and modularity (C) are not significantly associated with overall HRQL. The mean participation coefficient is positively associated with overall HRQL (D). Networks were thresholded at an absolute Pearson correlation coefficient of r = 0.34. Residuals after accounting for model covariates are plotted as relative measures along with regression lines with 95% confidence intervals.
- Fig 3.
Associations between graph theory metrics and the domain-specific Quality of Life in Childhood Epilepsy score. The mean clustering coefficient shows a negative relationship with the social function domain of the QOLCE score only (A). The mean participation coefficient is positively associated with the cognition domain of the QOLCE score only (B). Networks were thresholded at an absolute Pearson correlation coefficient of r = 0.34. Residuals after accounting for model covariates are plotted as relative measures along with regression lines with 95% confidence intervals.
- Fig 4.
Associations between graph theory metrics and overall HRQL (or total Quality of Life in Childhood Epilepsy score) in patients with temporal lobe epilepsy. The mean clustering coefficient (A) and modularity (C) are negatively associated with overall HRQL. Characteristic path length (B) and the mean participation coefficient (D) are not significantly associated with overall HRQL. Networks were thresholded at an absolute Pearson correlation coefficient of r = 0.34. Residuals after accounting for model covariates are plotted as relative measures along with regression lines with 95% confidence intervals.
- Fig 5.
Associations between graph theory metrics and domain-specific Quality of Life in Childhood Epilepsy scores in patients with temporal lobe epilepsy. The mean clustering coefficient (A) and modularity (B) are negatively associated with the social function domain of the QOLCE score. Networks were thresholded at an absolute Pearson correlation coefficient of r = 0.34. Residuals after accounting for model covariates are plotted as relative measures along with regression lines with 95% confidence intervals.
Tables
Characteristics of the whole sample and frontal and temporal lobe epilepsy subsamples
Whole Sample (n = 47) FLE (n = 22) TLE (n = 15) Age (yr) 13 (3) 13 (4) 13 (2) Sex 23 F, 24 M 11 F, 11 M 6 F, 9 M Type 22 Frontal 15 Left frontal 9 Left temporal 15 Temporal 7 Right frontal 6 Right temporal 8 Parietal or occipital 2 Multilobar Mean age at seizure onset (SD), (yr) 8 (4) 8 (4) 10 (3) Mean duration of epilepsy (SD), (yr) 5 (4) 5 (4) 4 (3) No. of anti-epileptic drugs (range) 2 (0–4) 2 (1–4) 2 (0–3) Frequency 15 Daily 7 Daily 4 Daily 20 Weekly 9 Weekly 9 Weekly 12 Monthly or less frequently 6 Monthly or less frequently 2 Monthly or less frequently QOLCE (mean) (SD) Overall 63 (17) 62 (21) 67 (15) Social function 66 (27) 64 (28) 67 (29) Physical function 52 (18) 49 (22) 59 (13) Emotional well-being 67 (17) 66 (19) 68 (16) Cognition 67 (23) 66 (26) 77 (17) Behavior 67 (15) 66 (15) 68 (18) Note:—SD indicates standard deviation.
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