Faster pace of hippocampal growth mediates the association between perinatal adversity and childhood depression
Notice bibliographique
Résumé
Early life adversity has been posited to influence the pace of structural neurodevelopment. Most research, however, has relied on cross-sectional data, which do not reveal whether the pace of neurodevelopmental change is accelerated or slowed following early exposures. In a birth cohort study that included neuroimaging data obtained at 4.5, 6, and 7.5 years of age (N=784), we examined associations among a cumulative measure of perinatal adversity relative to resources, nonlinear trajectories of hippocampal and amygdala volume, and children’s subsequent depressive symptoms at 8.5 years of age. Greater adversity was associated with reduced bilateral hippocampal body volume in early childhood, but also to faster growth in the right hippocampal body across childhood. Further, the association between adversity and childhood depressive symptoms was mediated by faster hippocampal body growth. These findings suggest that perinatal adversity is biologically embedded in hippocampal structure development, including an accelerated pace of change in the right hippocampal body that is implicated in children’s psychopathology risk. In addition, our findings suggest that reduced hippocampal volume is not inconsistent with accelerated hippocampal change; these aspects of structural development may typically co-occur, as smaller regional volumes in early childhood were associated with faster growth across childhood. Early adversity is a risk factor for the development of health problems across the lifespan, including for psychopathology in childhood (Nelson et al., 2020; Shonkoff et al., 2012). Exposure to psychosocial and biological hazards may be particularly consequential during sensitive windows, such as the perinatal period (Nelson and Gabard-Durnam, 2020). There are a range of events and conditions that constitute adversity during the perinatal period, such as low gestational age at birth, maternal smoking during pregnancy, institutionalization, and maternal depression, that have been linked to increased risk for psychopathology in offspring (Duko et al., 2020; Gotlib et al., 2023; Lund et al., 2020; Rice et al., 2010; Wade et al., 2020). Conversely, early positive experiences and environmental conditions or resources may help to offset risk related to adversity (Han et al., 2023; Masten et al., 2021), even during the perinatal period (McLoyd, 1998). Examples of such resources may include positive delivery outcomes related to the prenatal environment, such as being born at term or having an average birth weight, and factors related to perinatal care such as family income, parental mental health, and breastfeeding (Boyle et al., 2012; Hines et al., 2020; Huang et al., 2014; Roncallo et al., 2018). Adversity and resources both can be present and accumulate across multiple levels; indeed, researchers have emphasized the importance of considering their joint contributions to development (Evans et al., 2013; Han et al., 2023). From a perspective of cumulative risk and resources, evaluating the degree of adversity exposure relative to advantage may yield an index of the overall quality of early life experiences and conditions.
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 enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| 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) | 0,000 | 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 tête enseignante, 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 ».