IC‐P‐148: NEUROPSYCHIATRIC BURDEN IS RELATED TO INCREASED AMYLOID BUT NOT TAU DEPOSITION IN LATE MIDDLE‐AGED COGNITIVELY NORMAL INDIVIDUALS WITH A FAMILY HISTORY OF ALZHEIMER'S DISEASE
Notice bibliographique
Résumé
Neuropsychiatric factors (NPF) are highly prevalent throughout the course of Alzheimer's disease (AD) (Masters et al, 2015). Recent evidence also linked neuroticism, a personality trait associated with negative emotional response, with progression to AD (Terracciano et al, 2017). We investigated whether NPF and/or personality traits were related to AD pathology, brain function and cognition in cognitively normal individuals with a family history of AD dementia. Eighty-two participants (PREVENT-AD study, age=67±5) underwent PET scanning. SUVRs values for Aβ ([18F]NAV4694) and tau ([18F]AV1451) were extracted from all FreeSurfer Desikan neocortical regions (grey cerebellum reference region). Resting-state functional connectivity was examined in 13 networks (Power et al, 2011). Cognitive performance was assessed using the RBANS that provides five composite scores: immediate and delayed memory, attention, language, and visuospatial functioning. All participants answered questionnaires assessing personality, perseverative thinking, depression, anxiety, stress and apathy. We used partial least squares correlation with permutation tests to assess which combinations of factors (derived as latent variables), if any, were related to Aβ and tau deposition. We also investigated whether this combination of NPF and personality traits was related to 1) functional connectivity and 2) cognitive performance in individuals with and without AD pathology. One latent variable related NPF and personality traits with Aβ accumulation (p=0.003). Fig.1A displays the weight of each NPF and personality trait to this relationship and Fig.1B, the brain regions presenting higher Aβ burden as a function of this latent variable. Higher scores on this variable were additionally associated with higher brain connectivity within the dorsal attention and salience networks in Aβ+ subjects, and lower connectivity in Aβ- subjects (both interactions p <0.05, Fig.2A). Furthermore, higher scores on this neuropsychiatric component were associated with worse immediate memory (p=0.05, Fig.2B), regardless of Aβ status. No latent variable related NPF/personality traits with tau accumulation. Partial least squares analysis showing the neuropsychiatrie latent variable related to Aβ burden 1A. Loading of each neuropsychiatri factor (NPF) and personality trait to the neuropsychiatri latent variable related with Aβ accumulation. Confidence intervals are derived from bootstrap resampling. 1B. Cortical regions showing higher Aβ SUVR as NPF/personality burden increases. The importance of each region in the model was identified from bootstrap ratios and projected on a brain template. Regression analysis showing the relationship between the neuropsychiatric latent variable with brain function and cognition 2A. Functional network showing an interaction of Aβ status by functional connectivity on neuropsychiatric burden (Salience network interaction F1,69=5.7, p =0.02; dorsal attentional network interaction F 1, 69=5.2, p =0.03). 2B. Association between neuropsychiatric burden and immediate memory performance (Main effect F1,70=4.1, p=0.05). Our multivariate approach revealed that NPF/personality traits, such as perseverative thinking, neuroticism and low agreeableness, were associated with Aβ accumulation, altered brain connectivity and lower cognition. Neuropsychiatric burden might be a consequence of AD pathology, or, because personality traits are relatively stable across lifespan, a risk factor.
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) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 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 ».