Table 4.
Variance in cognition explained by linear models.
| Cognitive domain | |||||
|---|---|---|---|---|---|
| Factors included in model |
Episodic Memory |
Semantic Memory |
Working Memory |
Perceptual Speed |
Visuospatial Ability |
| Demographics only | 4.7% | 2.2% | 2.7% | 5.5% | 10.6% |
| Demographics + AD | 23.6 | 14.4 | 14.3 | 12.4 | 16.6 |
| Demographics + gross infarcts | 6.8 | 5.0 | 5.1 | 7.6 | 10.7 |
| Demographics + micro infarcts | 5.0 | 2.8 | 3.1 | 7.1 | 10.7 |
| Demographics + HS | 12.5 | 10.4 | 4.7 | 10.1 | 12.4 |
| Demographics + Lewy bodies | 5.7 | 2.9 | 3.4 | 6.1 | 11.5 |
| Demographics + all pathology | 31.8 | 24.0 | 18.2 | 19.6 | 18.2 |
| Demographics + all pathology + ROI T2 f | 37.3 | 32.8 | 25.9 | NA g | NA g |
| Additional variance in cognition explained by ROI T2 | 5.5 | 8.8 | 7.7 | NA g | NA g |
All values are percentages. Each cognitive domain was assessed separately.
f
ROI T2 means the average value of T2 calculated over all voxels within a cluster detected as having significant association of cognition with T2 for a given domain. T2 for each ROI was included as a separate factor in the model.
g
Not applicable; there were no clusters detected as having significant associations of cognition with T2 for these domains.