Notice bibliographique
Résumé
Background: Individuals with childhood stroke often experience neurological injury that manifests as lifelong cognitive and behavioural impairment; however, research is scarce regarding the neurobehavioural outcomes of children with perinatal stroke. One important aspect of neurobehavioural functioning and cognitive development is executive functioning (EF). EF is predictive of functional life outcomes across many domains, of which include social and cognitive development, and behavioural, emotional, and mental health. EF is poorly understood in the childhood stroke population, and particularly in those with perinatal stroke (which occurs during pregnancy or within the first month after birth). Goals: The objectives of this research project were to: 1) elucidate the EF profiles of children with perinatal stroke from a cool and hot EF model, and 2) describe the association between demographic and clinical factors associated with EF outcomes following stroke. Participants: Eighteen children aged 6-16 with a diagnosis of perinatal stroke were recruited through the Alberta Perinatal Stroke Project (APSP) in Edmonton, Alberta. Participants were identified through the IRB-approved APSP stroke registry or by patient care clinics of pediatric neurologists. Method: Children underwent a neurobehavioural assessment, which was a measure of cool EF outcomes. Parents/guardians completed behavioural rating measures regarding their child’s EF in real-life situations, which was a measure of hot EF outcomes. Additionally, parents/guardians also filled out questionnaires that captured the child’s demographic background (age, sex, ethnicity, and family socioeconomic status) as well as medical characteristics (lesion size, lesion location, epilepsy presence). Results: On measures of cool EF, children with perinatal stroke were more impaired than the normative sample on almost all measures, including Animal Sorting, Response Set, Design Fluency, and Inhibition-Naming, Inhibition-Inhibition, and Inhibition-Switching (all p < 0.05). Auditory Attention was not significantly impaired in the perinatal stroke group. With regards to measures of hot EF, children with perinatal stroke were rated as significantly more impaired than the normative sample on domains of Shift, Working Memory, Task-Monitoring, Organization/Planning, and the Cognitive Regulation Index (all p < 0.05). Male children and children with a history of epilepsy demonstrated worse performance on several cool EF measures; age did not have a significant impact. At the group level, children with perinatal stroke performed within the low-average range on measures of global intellectual functioning (IQ), which was significantly lower than the normative population. Additionally, children with perinatal stroke who had a global IQ score in the below-average range had significantly worse EF outcomes than those with global IQ scores in the average range. Conclusions: Children with perinatal stroke demonstrated significantly more deficits than the normative population on measures of cool and hot EF. Additionally, children who were male and/or had comorbid epilepsy had more impairments in cool EF domains.
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 | 0,001 | 0,004 |
| 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 | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 ».