DHA Status Associated with Cognitive Performance and Differential Patterns of Brain Activation in School Age Children
Notice bibliographique
Résumé
We assessed the associations between DHA intake (food frequency questionnaire) and DHA status [red blood cell (RBC)‐DHA/docosapentaenoic acid (DPA, n‐6) ratio] with cognitive performance [Kaufman Assessment Battery for Children (KABC‐III)] and brain functioning [measured by functional magnetic resonance imaging (fMRI)] in healthy children ~6 years of age (n=62). fMRI scanning of an n‐back numbers task was conducted, consisting of control and 1‐back task conditions (96 × 96 oblique axial EPI, 3mm thickness, no gap, TR/TE = 3000/30ms). Using Behavior Partial Least Squares (bPLS), the task‐specific correlation matrix between behavior and brain activity was computed and then decomposed using singular value decomposition. This yielded condition related brain network activation patterns, which were used to assess the association between DHA status and brain functioning. Median (interquartile range) DHA intake and RBC‐DHA/DPA were 76 (40–127) mg/d and 8.9 (6.0–12), respectively. DHA intake was positively correlated with: RBC‐DHA/DPA ( r =0.62, p<0.0001), KABC indicators of short‐term memory (Sequential; r =0.29, p=0.03) and general mental processing ability (Mental Performance Index; r =0.34, p=0.018); RBC‐DHA/DPA was positively correlated with the KABC Sequential ( r =0.26, p=0.042). The bPLS analysis ( n =34 with acceptably low head motion) produced 2 latent variables (LV), which represent underlying condition related brain network activation patterns. LV 1 showed activations in the Right (R) superior frontal, R middle temporal, Left (L) middle frontal gyri and the R insula with concomitant deactivations in the R cerebellum (lobules VI and IX) and the R lateral occipital gyrus that were negatively correlated with RBC‐DHA/DPA for both the control [ r (95% confidence interval (CI) = −0.39 (−0.66, −0.05)] and 1‐back [ r (95% CI) = −0.36 (−0.67, −0.12)] conditions. Therefore, activations were more activated with lower RBC‐DHA/DPA, while deactivations were more deactivated with higher RBC‐DHA/DPA. LV 2 showed activations in the R superior temporal gyrus and R anterior cingulate with concomitant deactivations in the R hippocampus, L fusiform, and bilateral precuneus and post‐central gyri that were negatively correlated with the control condition [r (95% CI) = −0.46 (−0.71, −0.17)] and positively correlated with the 1‐back condition [r (95% CI) = 0.43 (0.06, 0.70)]. Therefore, activations were more activated with lower RBC‐DHA/DPA in the control condition, while the same activations were more activated with higher RBC‐DHA/DPA in the 1‐back condition. Similarly, deactivated regions showed more deactivation with higher RBC‐DHA/DPA in the control condition and more deactivation with lower RBC‐DHA/DPA in the 1‐back condition. In sum, DHA intake was positively associated with some aspects of cognitive performance; DHA status was positively associated with some aspects of cognitive performance as well as differential brain activation patterns. Support or Funding Information Funded by Nestec, S.A.
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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 | 0,001 | 0,001 |
| 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) | 0,001 | 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 ».