Neonatal hippocampal volume moderates the effects of early postnatal enrichment on cognitive development

Overfeld, Judith; Entringer, Sonja; Rasmussen, Jerod; Heim, Christine; Styner, Martin; Gilmore, John H.; Wadhwa, Pathik D.; Buß, Claudia

doi:10.1016/j.dcn.2020.100820

Cited by 14 publications

(13 citation statements)

References 84 publications

(106 reference statements)

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“…Ample research suggests that the foundations of behavior in toddlerhood and beyond are present in neonate/early infant brain characteristics ( Chen et al, 2021 , Dickinson et al, 2021 , Girault et al, 2019 , Girault et al, 2019 ; Liu et al, 2021 ; Overfeld et al, 2020 ; Saha et al, 2020 ; Salzwedel et al, 2019 ; Short et al, 2019 ; Sket et al, 2019 ; Thomas et al, 2019 ; Zuk et al, 2021 ). Perhaps most importantly, infant neuroimaging data may also be able to predict neurodevelopmental disorders (such as autism spectrum disorder or dyslexia) years before reliable diagnoses can be made ( Emerson et al, 2017 , Hazlett et al, 2012 , Hazlett et al, 2017 , Langer et al, 2015 ).…”

Section: Grant Reviewers: Questions About Study Planning and Data Acquisitionmentioning

confidence: 99%

Dear reviewers: Responses to common reviewer critiques about infant neuroimaging studies

Korom

Camacho

Filippi

et al. 2022

Developmental Cognitive Neuroscience

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The field of adult neuroimaging relies on well-established principles in research design, imaging sequences, processing pipelines, as well as safety and data collection protocols. The field of infant magnetic resonance imaging, by comparison, is a young field with tremendous scientific potential but continuously evolving standards. The present article aims to initiate a constructive dialog between researchers who grapple with the challenges and inherent limitations of a nascent field and reviewers who evaluate their work. We address 20 questions that researchers commonly receive from research ethics boards, grant, and manuscript reviewers related to infant neuroimaging data collection, safety protocols, study planning, imaging sequences, decisions related to software and hardware, and data processing and sharing, while acknowledging both the accomplishments of the field and areas of much needed future advancements. This article reflects the cumulative knowledge of experts in the FIT’NG community and can act as a resource for both researchers and reviewers alike seeking a deeper understanding of the standards and tradeoffs involved in infant neuroimaging.

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Section: Grant Reviewers: Questions About Study Planning and Data Acquisitionmentioning

confidence: 99%

Dear reviewers: Responses to common reviewer critiques about infant neuroimaging studies

Korom

Camacho

Filippi

et al. 2022

Developmental Cognitive Neuroscience

View full text Add to dashboard Cite

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“…There is further work to be done to clearly establish links between prenatal ELA, brain morphometry findings, and childhood outcomes. 81 , 82 …”

Section: Discussionmentioning

confidence: 99%

Association of Prenatal Exposure to Early-Life Adversity With Neonatal Brain Volumes at Birth

et al. 2022

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Key Points Question Is prenatal exposure to maternal social disadvantage and psychosocial stress associated with global and relative infant brain volumes at birth? Findings In this longitudinal, observational cohort study of 280 mother-infant dyads, prenatal exposure to greater maternal social disadvantage, but not psychosocial stress, was associated with statistically significant reductions in white matter, cortical gray matter, and subcortical gray matter volumes and cortical folding at birth after accounting for maternal health and diet. Meaning These findings suggest that prenatal exposure to social disadvantage is associated with global reductions in brain volumes and folding in the first weeks of life.

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“…67,68 Future directions to elucidate causal mechanisms of neurodevelopmental and socioemotional impairments include examining maternal inflammatory cytokines and cortisol, 55,61 as well as linking prenatal ELA and brain morphometry findings to childhood outcomes. 69,70 Unique strengths of the current study include a prospective, longitudinal design from the first trimester of pregnancy, a cohort enriched for social disadvantage, and a comprehensive multidimensional assessment of maternal social disadvantage and related psychosocial stressors. However, our findings should be interpreted in light of study limitations.…”

Section: Discussionmentioning

confidence: 99%

Prenatal Exposure to Early Life Adversity and Neonatal Brain Volumes at Birth

Triplett

Lean

Parikh

et al. 2021

Preprint

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Importance: Exposure to early life adversity alters the structural development of key brain regions underlying neurodevelopmental impairments. The extent that prenatal exposure to life adversity alters structure at birth remains poorly understood. Objective: To determine if prenatal exposure to maternal social advantage and psychosocial distress alters global and regional brain volumes and cortical folding in the first weeks of life. Design: A prospective, longitudinal study of sociodemographically-diverse mothers recruited in the first trimester of pregnancy and their infants who underwent brain magnetic resonance imaging scan in the first weeks of life. Setting: Mothers were recruited from local obstetric clinics from 2017-2020. Participants: Of 399 mother-infant dyads prospectively recruited into the parent study, 280 healthy, term-born infants (47% female, mean postmenstrual age at scan 42 weeks) were eligible for inclusion. Exposures: Maternal social advantage and psychosocial distress in pregnancy. Main Measures and Outcomes: Two measures of latent constructs were created using Confirmatory Factor Analyses spanning Maternal Social Advantage (Income to Needs ratio, Area Deprivation Index, Healthy Eating Index, education level, insurance status) and Psychosocial Stress (Perceived Stress Scale, Edinburgh Postnatal Depression Scale, Everyday Discrimination Scale, Stress and Adversity Inventory). Neonatal cortical and subcortical gray matter, white matter, cerebellar, hippocampus, and amygdala volumes were generated using semi-automated age-specific segmentation pipelines. Results: After covariate adjustment and multiple comparisons correction, greater social disadvantage (i.e., lower Advantage values) was associated with reduced cortical gray matter (p=.03), subcortical gray matter (p=.008), and white matter (p=.004) volumes and cortical folding (p=.001). Psychosocial Stress was not related to neonatal brain metrics. While social disadvantage was associated with smaller absolute volumes of the bilateral hippocampi and amygdalae, after correcting for total brain volume, there were no regional effects. Conclusions and Relevance: Prenatal exposure to social disadvantage is associated with global reductions in brain volumes and cortical folding at birth. No regional specificity for the hippocampus or amygdala was detected. Results highlight that the deleterious effects of poverty begin in utero and are evident in the first weeks of life. These findings emphasize that preventative interventions to support fetal brain development should address socioeconomic hardships for expectant parents.

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Neonatal hippocampal volume moderates the effects of early postnatal enrichment on cognitive development

Cited by 14 publications

References 84 publications

Dear reviewers: Responses to common reviewer critiques about infant neuroimaging studies

Dear reviewers: Responses to common reviewer critiques about infant neuroimaging studies

Association of Prenatal Exposure to Early-Life Adversity With Neonatal Brain Volumes at Birth

Prenatal Exposure to Early Life Adversity and Neonatal Brain Volumes at Birth

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