Understanding persistent negative symptoms in first episode psychosis: Implementing neurocognitive and neuroanatomical approaches
Notice bibliographique
Résumé
Background. Negative symptoms (alogia, blunted affect, amotivation, reduced social drive) are a core feature of psychotic disorders. In comparison to positive symptoms, negative symptoms do not respond well to treatment, thus becoming persistent in a large percentage of psychosis patients. Persistent negative symptoms (PNS) remain an unmet therapeutic need, in part, due to our lack of understanding of the cognitive and neural correlates of these symptoms. Furthermore, most studies ill investigate PNS in patients with enduring schizophrenia, which introduces confounding factors. Hence, there is a need for a better understanding of these symptoms in patients with a first episode of psychosis (FEP).Purpose. Our overall aim was to define and characterize the cognitive and neural correlates of persistent negative symptoms identified in patients with first episode psychosis. Methods. All FEP patients were treated at the Prevention and Early Intervention Program for Psychosis (PEPP) at the Douglas Mental Health University Institute in Montreal. First, the heuristic value of various PNS definitions applied in the literature was explored. The relationship between PNS definitions and functional outcome was also explored. The most clinically relevant PNS definition was then applied to subsequent studies. Secondly, memory ability was examined in three memory domains including verbal, visual and working memory. Memory was compared at baseline in FEP patients with PNS and without PNS. In addition, the trajectory of memory ability was assessed at a 12-month follow-up. Lastly, white matter microstructure was investigated in FEP patients identified as having PNS. A region of interest analysis was applied to assess fronto-temporo-limbic white matter tracts. Fractional anisotropy was measured in each tract and compared between PNS patients, non-PNS and healthy controls. Results. Persistent negative symptoms were defined as having a score of 3 or greater in at least 1 global subscales of the Scale for the Assessment of Negative Symptoms. In addition, FEP patients were required to have minimal positive, depressive, and extrapyramidal symptoms. Patients whose negative symptoms at the above-mentioned level of severity persisted beyond month 3 of their first year of treatment in the PEPP program met the criteria for PNS. Applying this definition allowed us to determine the prevalence of PNS in FEP, which was found to be 27%. Further, patients with PNS had poorer functioning at month 12 than those without PNS. All FEP patients were administered neuropsychological tests with focus being placed on memory ability in those affected with PNS. Results suggested that in comparison to patients without PNS and healthy controls, patients affected by PNS had poorer verbal memory ability. In addition, follow up memory scores indicated that memory impairments in PNS were stable through the first year. Lastly, fractional anisotropy was shown to be lower in both patient groups compared to healthy controls. While the non-PNS demonstrated significantly lower FA values in the uncinate fasciculus compared to healthy controls, lower fornix FA was found in the PNS group compared to healthy controls. Conclusions and significance.Our studies highlight a 27% prevalence of PNS in first episode psychosis, supporting previous assumptions of a greater prevalence of PNS in comparison to deficit syndrome (with a prevalence estimated at 15%). Patients with PNS present with: poorer functional outcome, greater verbal memory deficits and impaired white matter integrity in the limbic system. Thus, applying the PNS definition in future studies may help further elucidate the impact of negative symptoms in FEP, by providing a more homogenous subgroup of patients who are more severely impaired than patients without PNS.
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 | 0,004 | 0,007 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,003 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,002 |
| Communication savante | 0,003 | 0,003 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 ».