Article Figures & Data
Figures
- Fig 1.
Reconstruction of the structural brain connectivity networks. A, Cortical and subcortical parcellation of the T1WI results in 164 gray matter regions. B, Whole-brain probabilistic streamlines tractography based on the corrected DWI can be used to reconstruct structural connectivity pathways of the brain. C, The structural brain connectivity network, in which the nodes represent the gray matter areas and the edges are weighted by the number of streamlines that connect the nodes. The size of the nodes corresponds to the volume of the gray matter area. The width of the edges corresponds to the number of streamlines, and the color of the edges corresponds to the direction of the connection (red: left-right, green: anterior-posterior, blue: superior-inferior).
- Fig 2.
Scatterplots and the fitted lines, describing the correlation between the global network properties and UPDRS Part III: motor examination scores. Statistically significant (Bonferroni corrected) correlation coefficients (c) are marked with an asterisk.
- Fig 3.
Local differences in betweenness centrality, local efficiency, and strength between the second acquisition of the patients with CLN3 and the control subjects. The size of the nodes illustrates the volume of the gray matter region, and the color indicates the statistical significance of the differences (P values). Significant differences (P < .0003) after a Bonferroni correction for multiple comparisons are highlighted with red circles. Local efficiency was decreased in the left supramarginal gyrus and the left temporal plane, and strength was decreased in the right lingual gyrus.
Tables
- Table 1:
Description of the symptoms of the patients with CLN3 during the first acquisition
Symptoms None, n (%) Mild, n (%) Severe, n (%) Visual impairment 1 (7) 9 (64) 4 (29) Psychiatric symptoms 9 (64) 4 (29) 1 (7) Epilepsy 9 (64) 3 (21) 2 (14) Intellectual disability 9 (64) 4 (29) 1 (7) Motor impairment 9 (64) 5 (36) 0 (0) - Table 2:
Global differences in the network properties between the patients with CLN3 and the control subjects, with age and sex used as covariates
Network Property CLN3a Control Subjectsa P First Acquisition Second Acquisition CLN3 First Acquisition vs. Control Subjects CLN3 Second Acquisition vs. Control Subjects Betweenness centrality 288 ± 22 294 ± 17 278 ± 11 .084 .008 Characteristic path length 0.118 ± 0.062 0.130 ± 0.073 0.074 ± 0.014 .003b .003b Clustering coefficient 5.27 ± 1.57 5.32 ± 2.12 6.45 ± 0.77 .011 .017 Degree 25.9 ± 4.6 25.3 ± 5.0 29.5 ± 1.79 .003b .002b Global efficiency 22.6 ± 8.6 22.8 ± 11.6 28.5 ± 4.5 .014 .030 Small-worldness 5.03 ± 0.85 5.24 ± 1.19 5.78 ± 0.80 .009 .126 Strength 511 ± 191 506 ± 255 645 ± 105 .012 .020 a Data are mean± standard deviation.
↵b Indicates significant differences after the Bonferroni correction for multiple comparisons.
