F95. DISRUPTION IN HIPPOCAMPAL-PREFRONTAL WHITE MATTER PATHWAYS AND MEMORY PERFORMANCE ACROSS STAGES OF SCHIZOPHRENIA-SPECTRUM DISORDER
Notice bibliographique
Résumé
Memory impairment is a consistent finding in the schizophrenia literature, and it is possible that deficits are the result of disrupted connectivity between key memory-related brain regions – namely, the hippocampus and the prefrontal cortex. However, while previous studies have identified relationships between memory performance and hippocampal and cortical grey matter volumes, few studies have investigated relationships between memory performance and measures of white matter (WM) connectivity and integrity. The current study therefore examined whether deficits in episodic and working memory in early and established psychosis were related to (1) disrupted hippocampal-prefrontal WM connectivity, and (2) reduced integrity in key memory-related WM tracts. Measurements of episodic memory (CANTAB Paired Associates Learning) and working memory (CANTAB Spatial Working Memory) were obtained for 51 individuals with a chronic schizophrenia-spectrum disorder, 28 individuals with first-episode psychosis (FEP), 52 older healthy controls, and 27 younger healthy controls. Probabilistic tractography was used to map trajectories of hippocampal-prefrontal WM tracts in each individual, with prefrontal targets including the orbitofrontal, dorsolateral prefrontal, medial prefrontal, and anterior cingulate cortices. Inter-individual variation in the connectivity strength (i.e. streamline counts) was then examined in relation to memory performance. Additionally, two measures of WM integrity (i.e. tract-averaged fractional anisotropy [FA] and mean diffusivity [MD]) across four key memory-related WM tracts (dorsal and ventral cingulum, fornix, uncinate fasciculus) were also examined in relation to memory performance. Both chronic and FEP patients had impaired episodic memory, however, only chronic patients had impaired working memory. In terms of hippocampal-prefrontal streamline counts, these were reduced in chronic patients compared to healthy controls, but not in FEP patients. FEP patients also did not differ from chronic. No relationships were observed between memory performance and hippocampal-prefrontal WM streamline counts. Both chronic and first-episode patients had reduced WM integrity compared to their respective healthy control groups, with the greatest reductions observed in the chronic patients, and these reductions were further related to memory performance. Specifically, in first-episode patients, poorer working memory performance was associated with reduced fractional anisotropy in the dorsal cingulum bilaterally. In chronic patients, poorer episodic memory and spatial working memory were associated with increased mean diffusivity in the left fornix. While reduced hippocampal-prefrontal connectivity (as measured by number of connections) was observed in individuals with chronic schizophrenia, such deficits were not associated with memory performance. Both FEP and chronic patients had reduced WM integrity (indexed by FA and MD) relative to healthy controls, and memory impairment was associated with reduced WM integrity in key memory-related tracts in both patient groups. These findings suggest that WM integrity in specific WM tracts, including the fornix and the cingulum bundle, might be more critical for memory performance in individuals with psychotic disorders than the number of connections between the hippocampus and the prefrontal cortex.
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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 | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,000 |
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 ».