Table 3. Associations between brain structural MRI metrics, cognitive performance and other clinical features in SLE cohorts of previous studies.
| First author, year | Neurocognitive associations (L: left, R: right, ~: correlated with, correlation coefficient—r or standardised z-statistic or mean Δ, p value) | Other clinical associations (left, R: right, ~: correlated with) |
| Appenzeller, 2006 |
|
|
| Appenzeller, 2007 |
|
|
| Jung,2012 |
|
NR |
| Gitelman, 2013 | CD-cSLE subgroup classification (NR correlations w/ cognitive domains) ~ ↓ total GM volume (mean Δ=81.2 cm3, p<0.001), ↓ lateral orbito-frontal, anterior cingulate and lateral temporal regions (not reported) | No correlations w/ disease duration or current/cumulative steroid dose in cSLE w/ CD |
| Cesar, 2015 | ↓ Executive skills ~ ↓ FA in CR, CC—superior body, SLF (NR effect measures, p<0.05) | NR |
| Bizzo, 2016 | ↓ Episodic memory ~ ↓ cortical thickness R superior A/P frontal and precentral regions (within SLE cohort, z not reported, p=0.0048) | NR |
| Bódi, 2017 | ↓ Overall cognitive function ~ ↓ CA1 Hp volume (r=0.62, p=0.005) | NR |
| Zimmerman, 2017 |
|
NR |
| Wiseman, 2017 | ↓ Overall cognitive function ~ ↑ MD in WM (r=−0.31, p=0.03, not significant after age correction) | ↑ Fatigue ~ ↓MD in WM (r=−0.35, p=0.01) |
| Cannerfelt, 2018 | No correlation between any cognitive domain and Hp and CC volume↓ composite (r=0.301, p=0.021), & verbal memory (r=0.404, p=0.001)~ ↑ WM lesion volume | NR |
| Corrêa, 2018 |
|
NR |
| Nystedt, 2018 |
|
|
| Wiseman, 2018 | ↑ g (overall cognitive function) ~ ↑ all network metrics (r>0.32, p<0.05, except mean edge weight)↑ g ~ ↑ density (r=0.48, p<0.01), strength (r=0.45, p<0.01), mean shortest path length (r=−0.34, p<0.05), global efficiency (r=0.35, p<0.05) and clustering coefficient (r=0.32, p<0.05)↑ g ~ ↑ nodal strength in R Cd (r=0.55, p<0.05) and lingual regions (r=0.41, p<0.05), L precentral (r=0.50, p<0.05) and middle frontal regions (r=0.41, p<0.05)↑ g ~ ↓ nodal strength in R Hp (r=−0.32, p<0.05) | ↓ Disease duration ~ ↑ all network metrics (r<0.31, p<0.05 (except ↓ mean shortest path length; r=0.39, p<0.01)↓ SLE damage ~ ↑ nodal strength in R Cd (r=−0.37, p<0.05), superior parietal (r=−0.38, p<0.05), superior temporal (r=−0.32, p<0.05), middle frontal (r=−0.36, p<0.05), lateral occipital (r=−0.31, p<0.05) and pericalcarine regions (r=−0.36, p<0.05) |
| MacKay, 2019 |
|
|
| DiFrancesco, 2020 | ↓ Visual-spatial processing ~ ↑ D∗ × vbw (perfusion) (r=−0.66, p=0.026) in middle posterior precuneus↓ Psychomotor speed ~ ↑ D∗ × vbw (r=−0.63, p=0.037), D∗ (r=−0.62, p=0.043) in middle posterior precuneus | ↑ Disease activity ~ ↑ D∗ (r=0.58, p=0.061), ↓ vbw (blood-water fraction) (r=−0.54, p=0.090) in middle posterior precuneus (marginally significant) |
| Mårtensson, 2021 |
|
NR |
| Qian, 2022 | ↓ Attention ~ ↑ FW in CC, fronto-parietal (anterior Th radiation), fronto-temporal (SLF), fronto-occipital (IFOF) WM and Cg (r=−0.51, p=0.022, all significant regions evaluated together) | ↑ Cumulative steroid dose ~ ↑ FW in callosal, fronto-parietal, fronto-temporal, fronto-occipital WM, Cg (r=0.63, p=0.0041, all significant regions evaluated together) |
| Julio, 2023 | ↑ Overall cognitive function ~ ↓ MD in whole CC (r=−0.207, p=0.03) and all CC parcels | ↑ Age at disease onset (r=0.71, p<0.001), disease duration (r=0.481, p<0.001) ~ ↑ DTI metrics |
AbantibodiesA/Panterior/posteriorCCcorpus callosusCdcaudateCDcognitive domainsCgcingulumCIcognitive impairmentCRcorona radiataDWater diffusion coefficientD*perfusion coefficientDTIdiffusion tensor imagingEMepisodic memoryFAfractional anisotropyGMgrey matterHChealthy controlsHphippocampusIFOFinferior fronto-occipital fasciculusILFinferior longitudinal fasciculusMDmean diffusivityNARTNational Adult Reading TestNPneuropsychiatricNRnot reportedSLFsuperior longitudinal fasciculusUFuncinate fasciculusVBMvoxel-based morphometryvbwfraction of water molecules in bloodWBwhole brainWMwhite matterΔdifference