COVID-19 Pandemic–Related Prenatal Distress and Infant Functional Brain Development
Notice bibliographique
Résumé
Objective Psychological distress (eg, anxiety and depression) during pregnancy can disrupt fetal brain development and negatively affect infant behavior. Prenatal distress rose substantially during the COVID-19 pandemic according to most, but not all, studies, raising concerns about its potential effects on brain connectivity and behavior in infants. Method We investigated 63 mother–infant pairs as part of the Pregnancy during the COVID-19 Pandemic study. Mothers reported depression and anxiety symptoms prospectively during pregnancy; these were combined into one measure of prenatal maternal distress. Infant brain resting state functional magnetic resonance imaging (rs-fMRI) scans were obtained at 3 months of age, and mothers assessed infant behavior at 6 and 12 months using the Infant Behavior Questionnaire—Revised (IBQ-R) and the Ages and Stages Questionnaire (ASQ-3), respectively. The rs-fMRI was processed to measure functional connectivity within auditory, left frontoparietal, and default mode networks, and connectivity was tested for relationships to prenatal maternal distress. Prenatal distress and brain connectivity were also tested for relationships with infant behavior. Results Higher prenatal maternal distress was related to stronger functional connectivity in the infant auditory network (T = 2.5, p = 0.01, q=0.04, df=59) and higher infant ASQ-3 personal–social scores (T = 2.9, p = 0.006, q=0.03, df=48). No significant associations were found between brain connectivity and infant behavior. Conclusion The impact of exposure to maternal prenatal distress on infant brain networks may be more apparent in networks that develop early, such as the auditory network, compared to later-developing networks, the effects of which may emerge later in childhood. The link between prenatal maternal distress and higher infant behavior scores may suggest compensatory changes, although further study is needed to determine how behavior manifests in the longer term. Plain language summary During the COVID-19 pandemic, pregnant individuals were especially stressed, but the impacts on infant brain development are still unclear. This study measured anxiety and depression symptoms in 63 mothers during pregnancy and performed resting-state functional brain magnetic resonance imaging scans in their infants at 3 months of age at the Alberta Children's Hospital. Mothers who experienced higher distress during pregnancy had infants with stronger functional communication within the auditory brain network and more advanced social behaviors. Our findings show the importance of studying a range of brain regions beyond those involved in emotion and suggest the need for continued monitoring of this infant cohort through early childhood. Diversity & Inclusion Statement We worked to ensure sex and gender balance in the recruitment of human participants. We worked to ensure race, ethnic, and/or other types of diversity in the recruitment of human participants. We worked to ensure that the study questionnaires were prepared in an inclusive way. One or more of the authors of this paper self-identifies as a member of one or more historically underrepresented racial and/or ethnic groups in science. One or more of the authors of this paper self-identifies as a member of one or more historically underrepresented sexual and/or gender groups in science. The author list of this paper includes contributors from the location and/or community where the research was conducted who participated in the data collection, design, analysis, and/or interpretation of the work. We actively worked to promote inclusion of historically underrepresented racial and/or ethnic groups in science in our author group. We actively worked to promote sex and gender balance in our author group.
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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 | 0,002 |
| 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) | 0,001 | 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 ».