Table 2.
Correlations of singular imaging variables with neurocognitive domains, N = 137
Cognitive domain | CMB | Lacune | PV WMH | Deep WMH | WMH burden | BG PVSE | CSO PVSE | PVSE burden | Global SVD score | CAA-SVD score | HA-SVD score |
---|---|---|---|---|---|---|---|---|---|---|---|
β | β | β | β | β | β | β | β | β | β | β | |
MMSE | − .009 | − .027 | − .006 | .015 | .025 | .017 | .026 | .064 | − .064* | − .044** | − .115** |
MoCA | .094 | .047 | − .003 | .020 | .022 | .017 | .002 | .034 | .001 | − .012 | − .068** |
CDR-SB | .401 | .122 | .062 | .023 | .038 | .013 | .036 | .012 | .212* | .043 | .045 |
Orientation | − .047 | − .011 | − .038 | .009 | − .074 | .101 | − .073 | − .070 | − .173 | − .054 | − .297** |
Attention | .571 | .027 | − .060 | .029 | − .089 | .024 | − .002 | .080 | − .024 | − .165 | − .411** |
STM (registration) | − .431 | .251 | − .092 | − .207* | − .398 | .001 | − .105 | .023 | − .255 | − .219** | − .208 |
STM (recall) | − .304 | .024 | − .036 | − .193* | − .417 | .005 | .105 | .168 | − .232 | − .009 | − .021 |
Language | .188 | .304 | − .080 | .048 | .027 | − .097 | − .115 | − .125 | − .214 | − .200* | − .429** |
Visual execution | .463 | .176 | .006 | .063 | .321 | .101 | − .016 | .117 | .127 | − .042 | − .403** |
Linear regression, adjusted for age, sex, vascular risk factors, and CDR, was calculated to explore correlations between cognitive and imaging variable
Abbreviations: CMB cerebral microbleeds, PV periventricular, WMH white matter hyperintensity, BG basal ganglia, CSO centrum semiovale, PVSE perivascular space enlargement, SVD small vessel disease, CAA cerebral amyloid angiopathy, HA hypertensive arteriopathy, MMSE mini-mental state examination, MoCA Montreal Cognitive Assessment, CDR clinical dementia rating score, CDR-SB clinical dementia rating-sum of boxes, STM short-term memory
*p < 0.05,
**p < 0.01