P157 Neurocognitive insights: functional magnetic resonance imaging of spatial working memory and sustained attention in people with systemic lupus erythematous
Notice bibliographique
Résumé
Abstract Background/Aims Cognitive impairment (CI) is common in people with systemic lupus erythematosus (pwSLE). Treatment options are limited and the effects upon the brain is unclear. Differences in brain structure seen in SLE do not always associate with CI, however significant associations have been found with functional magnetic resonance imaging (fMRI). Using fMRI, this study aims to further explore potential compensatory brain mechanisms used in SLE that help with cognitive function. Methods Participants were recruited into one of two groups;pwSLE (meeting EULAR/ACR criteria) or healthy controls(HC). Demographic, clinical and psychiatric data and patient reported outcome measures were collected.Cognitive function was assessed using the ACR Neuropsychological Battery. Brain scans included two structural and two fMRI scans done during stage 1 and 2 of a cognitive task. Stage 1 of the task had an encoding, retention and working memory (WM) component. Stage 2 of the task examined long-term memory. Differences between task performances were examined using t-tests. The fMRI data was modelled using SPM12 to look for differences in blood-oxygen-level-dependent (BOLD) brain responses between the study groups during the different stages/components of the task. Results To-date 37 pwSLE and 10 HCs have been recruited. The median ages were 36 (HC) and 40 (pwSLE) years. From the pwSLE group the average disease duration was 15 years, the average SLEDAI-2K score was 5 and percentages of those on antimalarials, corticosteroids, and immunosuppressants and biologics were 66%, 32%, and 54%, respectively. There were no differences on task performance between the two groups. Greater BOLD responses were seen in the HC compared to the pwSLE group during stage 1 encoding and WM phases as well as during stage 2 (long-term memory). pwSLE had less attenuated BOLD signals during the stage 1 retention phase compared to HCs (Table 1). Conclusion We found altered brain responses to our cognitive task between pwSLE and HCs. Predominantly the HC group had greater BOLD responses in cognitive regions during the task compared to the pwSLE group. However, we did not find any difference between the two groups in regards to cognitive performance. This study is still ongoing and additional results are expected. Disclosure M. Barraclough: None. M. McCowen: None. S. McKie: None. A. Kafkas: None. B. Parker: None. J. Diaz-Martinez: None. A. Knight: None. K. Bingham: None. M. Li: None. J. Su: None. M. Kakvan: None. C. Munoz Grajales: None. M. Tartaglia: None. L. Ruttan: None. J. Wither: None. D. Bonilla: None. N. Anderson: None. D. Montaldi: None. R. Elliott: None. P. Katz: None. D. Beaton: None. R. Green: None. I. Bruce: None. Z. Touma: None.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».