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Enregistrement W2657538463 · doi:10.1016/j.ijdevneu.2015.04.125

ISDN2014_0151: Attentional processes, cortisol and emotional states in preadolescent children from different socioeconomic status

2015· article· en· W2657538463 sur OpenAlexaff
Amedeo D’Angiulli, Patricia Van Roon, Kylie Schibli

Notice bibliographique

RevueInternational Journal of Developmental Neuroscience · 2015
Typearticle
Langueen
DomaineMedicine
ThématiqueInfant Development and Preterm Care
Établissements canadiensCarleton University
Organismes subventionnairesnon disponible
Mots-clésPsychologyCitationSocioeconomic statusLibrary scienceSociologyComputer science

Résumé

récupéré en direct d'OpenAlex

Increasing evidence indicates that prefrontal and frontal brain areas of children with high and low family socioeconomic status (SES) are differently engaged in neurocognitive laboratory tasks. However, few studies investigating SES have directly assessed non-cognitive aspects of functions related to self-regulation, emotional state and motivation that may confound the observed differences in frontally controlled neural processes. This paper addressed this question by examining the relationships between EEG correlates of attentional processes, salivary cortisol levels and emotional states in two groups of preadolescent children (17 low-SES and 17 high-SES). ERPs and EEG activity were measured during a well-established oddball selective attention auditory task presenting sequences of tones. Other measurements included baseline, pre-/post-task salivary cortisol and self-reported emotional states, as well as post-task appraisals. Consistent with previous results, we found that the high-SES group showed a greater ERP differentiation between attended (relevant) and unattended (irrelevant) stimuli. EEG power analysis showed that of the frequency bands analyzed, the most interesting results were found for theta. Theta power was generally higher when participants ignored tones rather than when they attended to all tones. Interestingly, there was also a significant crossover interaction between SES group and attention condition on theta peak power: low-SES participants showed significantly higher power when ignoring tones rather than attending to them, whereas, high-SES participants showed higher power when attending to tones rather than ignoring them. In addition, significant asymmetry differences were found at FC3–FC4 electrodes: more individuals in the low-SES group had relatively greater left (58%) than right (42%) theta activation, whereas in the high-SES group, more individuals had relatively greater right (82%) than left (18%) theta activation. Stepwise-regression of behavioral data (accuracy and reaction times), cortisol data and self-reports on the difference of theta power between attended vs. unattended distracters revealed significant individual variations in the increase of selective attention in the two groups. Theta power difference increased with SES and involved central and right frontal electrodes. Cortisol concentrations were inversely related to theta power difference in left frontal areas at the beginning of the oddball task, and an effect of SES was found only in the left fronto-central electrodes. Cortisol concentrations after the oddball task were inversely correlated with theta power difference bilaterally in fronto-central electrodes. Both before and after the task, effects were additive as there was no interaction between SES and cortisol. Furthermore, cortisol at the beginning of the task was highly positively correlated with self-report of boredom (r = .697). Boredom at the beginning of the task was correlated (r = 394) with theta power difference at the LEFT but not the RIGHT fronto-central electrodes. The only significant relationship concerning the behavioral responses was an inverse relationship (r = −.374) between theta power difference at the parietal midline electrode and accuracy in inhibiting response. These findings suggest that aspects related to self-regulation, emotional state and motivation can account for differences between low and high-SES children in frontally controlled processes otherwise interpretable as result of differences only in executive and cognitive functioning.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,002
Score d'incertitude au seuil0,515

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,018
Tête enseignante GPT0,268
Écart entre enseignants0,249 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2015
Routes d'admission1
Résumé présentoui

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