Lupus & antiphospholipid syndrome
Functional brain networks related to processing speed and memory in SLE: a connectome-based modelling study
Authors' conclusion
CPM identified brain networks that underlie critical cognitive functions in individuals and these neural fingerprints could potentially assist the diagnosis of cognitive dysfunction in SLE.
Study context
- Population
- SLE patients and controls undergoing cognitive assessment and resting-state fMRI
- Participants
- 43 vs 34
- Exposure
- SLE vs controls
- SLEn = 43
- Controlsn = 34reference
- Outcome
- Prediction of PS and memory scores from functional connectivity by CPM
Methodological detailsconnectome-based predictive modelling, leave-one-out cross-validation, resting-state fMRI
- Connectome-based predictive modelling
- Leave-one-out cross-validation
- Resting-state fMRI
Main finding
As reported in the abstract
CPM prediction of PS and memory scores in SLE (cross-validation)
Correlation (r) between predicted and observed processing speed (PS) and memory scores, range
0.40 to 0.42
all P < 0.01
Observational data: associations, not effects.
Further findings
| Outcome | SLE |
|---|---|
| Combined CPM model predicting overall cognitive ability | r 0.38 |
| P | P < 0.05 |
Combined CPM model predicting overall cognitive ability
- No predictive power in controls
Risk factors for cognitive dysfunction in SLE
- Higher damage indices associated with slower PS
- Disease activity, daily GC dosage and aCL levels moderated associations between functional connectivity strength and cognitive performances
Original publication
Functional brain networks related to processing speed and memory in SLE: a connectome-based modelling study. Rheumatology (Oxford). Published 21 May 2025. doi:10.
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