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Table 1.

Study population characteristics at inclusion (T1) and 3 months (T2).

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Table 1 Expand

Table 2.

Comparisons of characteristics by fatigue status group at inclusion and follow-up.

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Table 2 Expand

Table 3.

Univariate comparisons by post-stroke fatigue status for the characteristics at inclusion.

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Table 3 Expand

Table 4.

Univariate and multivariate comparisons of clinical factors by fatigue status.

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Table 4 Expand

Table 5.

Spearman correlations between MFI domain scores and the psychological, neurological and neuroimaging variables of interest.

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Table 6.

Correlations between MFI scores and clinical factors, adjusted for potential confounding clinical variables.

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Table 6 Expand

Fig 1.

Voxel-based analysis of fatigue scores.

Visualization of VLSM (voxel-based lesion-symptom mapping) results of Multidimensional Fatigue Inventory total score on a normalized template. Among the white matter tracts (colored), the significant cluster (p = 0.024) is marked in white at the crosshair.

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Fig 1 Expand

Table 7.

Brain regions belonging to the components obtained from the lesion network approach.

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Table 7 Expand

Fig 2.

Components obtained from the network-based approach.

(a) Gray matter components: GM1 (gold), GM2 (red), GM3 (chocolate), GM4 (dark orange), GM5 (light blue), GM6 (green), GM7 (teal), GM8 (purple), GM9 (coral), GM10 (pink), GM11 (turquoise). (b) White matter components: WM1 (yellow), WM2 (maroon), WM3 (chocolate), WM4 (dark orange), WM5 (deep red), WM6 (green), WM7 (teal), WM8 (purple), WM9 (coral), WM10 (pink), WM11 (gold), WM12 (turquoise). WM5 was significantly associated with mental fatigue scores.

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Fig 2 Expand