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Published in final edited form as: Trends Neurosci. 2020 Aug 27;43(10):744–751. doi: 10.1016/j.tins.2020.08.001

Neurodevelopmental Optimization after Early Life Adversity: Cross Species Studies to Elucidate Sensitive Periods and Brain Mechanisms to Inform Early Intervention

Joan Luby 1, Tallie Z Baram 2, Cynthia Rogers 1, Deanna M Barch 1,3,4
PMCID: PMC7530018  NIHMSID: NIHMS1620171  PMID: 32863044

Abstract

Human brain development is influenced by early-life experiences, particularly during sensitive periods, with impact on cognitive and emotional outcomes. Understanding how the timing and the nature of such experiences (including adversity, trauma and enrichment) governs their influence on brain organization is crucial for harnessing key environmental factors early in life to enhance brain development. Here we synthesize findings from human and animal studies focusing on sensitive periods and their regional and circuit specificity, and highlight the challenge and power of such cross-species approaches for informing the ‘next steps’ in optimizing cognitive and emotional health in developing children. We propose designs for neurodevelopmental optimization research programs utilizing randomized enhancement trials in early childhood to inform public health strategies on prevention and early intervention.

Keywords: sensitive periods, developmental enhancement

Early Experiences and Vulnerability to or Protection from Mental Illness

The finding that human brain development is strongly influenced by the environment, particularly during early-life sensitive periods, has important global mental and public health implications. An increasing body of empirical data from human and animal studies demonstrates strong associations (in humans) and causal relations (in animals) between early environmental factors and brain maturation [17]. Early-life experiences are known to play an important role in influencing cognitive and emotional outcomes in humans through their impact on neurodevelopment. There is also robust evidence for the strong effects of early adversity on risk for psychopathology [8]. Conversely, a large body of work demonstrates the central importance of early-life nurturance for healthy social and emotional development [9, 10]. Building on this work, we address how empirically informed timing of preventive or developmentally enhancing interventions, may be used to achieve larger and more sustained neuroprotective effects from the negative consequences of adversity. To accomplish this, a more comprehensive understanding of how environmental factors influence specific aspects of the complex machinery of brain development is required. Data informing these processes from animal, human and cross-species studies would facilitate harnessing of modifiable factors early in life to support healthier brain development as part of a proactive practice of optimizing child development [11, 12].

We propose here a program of research as the foundation for a new science of neurodevelopmental optimization. Building on causal inferences and mechanistic data from the animal-models literature, we posit that there is a need to obtain a nuanced empirical picture of how the timing and type of adverse exposures impacts specific aspects of neurodevelopment and the correlated cognitive and emotional capabilities in young children. We highlight the potential of caregiving interventions that enhance warmth, sensitivity and predictability as well as child cognitive and emotional skill building programs delivered at key sensitive periods. These strategies carry a promise to nourish neurodevelopment, mitigate the risk for psychopathology, and enhance human potential.

Key Considerations for Neurodevelopmental Optimization: Timing and Specificity

Information about the nature, timing, regional specificity, and mechanisms of environmental factors that influence the trajectory of brain maturation is necessary to enable neurodevelopmental optimization programs. Timing relates to whether there are sensitive periods in the development of specific brain regions and circuits subserving specific emotional and cognitive functions, during which children might be either particularly vulnerable to environmental adversity or receptive to enhancement. Regional specificity refers to whether environmental effects are broad, related to general factors that influence brain development as a whole, or more specific to particular brain regions and circuits. Identifying regional specificity will inform the nature of enhancements targeting specific regions or circuits and their cognate functions. Specificity of environmental factors refers to the degree to which different types of early adversity (e.g., trauma/abuse, deprivation, unpredictability/chaos, poverty, etc.) and/or enhancement (caregiver support, cognitive stimulation, enriched diet or sleep) have similar or different effects on brain development both globally and regionally. Empirical mapping of these patterns is necessary to inform the type and timing of the most effective optimization strategies.

Sensitive Periods across Species

Whereas the brain is influenced by the environment through experience-dependent processes throughout the lifespan, sensitive periods are windows of time during which the brain is especially susceptible to these influences [1315]. Sensitive periods allow brain architecture to be maximally informed by experience to optimize function for events expected later in life, and are well documented in both the basic neuroscience and child development literatures [1316]. Notably, the timing and duration of sensitive periods are themselves experience-dependent [1417].

Importantly, it is becoming evident that different brain regions and circuits have distinct trajectories of development and sensitive periods [1619]. This information is critical to enable the translation of ground-breaking experimental studies in animals to human interventions. Whereas older work compares phases of total brain growth across species, newer studies avoid assigning a global brain age to rodents that is then equated with human age. Rather, maturation of specific brain circuits and regions is compared [18, 19]. For example, for hippocampal formation development, the developmental state of a human full-term neonate might be equated with that of a 5–7 day Sprague Dawley rat, with infancy encompassing the second week of life in the rodent [18]. A similar approach to identifying homologues in brain age across humans and rodents has been recently employed for the reward circuit, including ventral striatum / nucleus accumbens, ventral tegmental area and interconnected amygdala nuclei and cortical regions, again suggesting homology between the middle first postnatal week in the rodent and the human neonate (for details see Table 1 in ref [19]).

Sensitive periods for specific regions and circuits in animals and to a lesser extent in humans are being delineated. Such studies attest to the importance of timing of early life experiences, because the ages of sensitive periods for distinct regions or circuits differ [1517, 20]. For example, the sensitive period for the effects of light signals on visual system organization in the kitten spans the first postnatal weeks [20]. In humans, “lazy” or otherwise deprived eye during the first postnatal months provokes enduring loss of normal function in primary visual cortex and life-long deficits in vision (amblyopia), suggesting homologous timing-sensitive plasticity processes during sensitive periods across species [14].

The sensitive period for the patterns of tones on tonotopic organization of the auditory cortex in the mouse involves postnatal days 7–14. In rodents, the sensitive period for early-life adversity seems to include the first two postnatal weeks influencing both the maturation of specific brain circuits and functional outcomes [6, 2129]. Deprivation from maternal signals [30, 31] or chaotic unpredictable patterns of care [2328] promote vulnerability to memory and emotional deficits.

Whereas it is not possible to directly translate sensitive periods across species, it is helpful to consider that at least some of the neurobiological mechanisms that generate sensitive periods are likely common across mammals [1416, 20]: The organization of brain circuits involves the generation of synaptic connections, followed by their strengthening and persistence or their pruning and elimination. It is generally believed that the first step, the recognition by pre- and post-synaptic elements of their future ‘partners’ is genetically encoded and relatively insensitive to the environment. The second stage, involving activity-dependent processes and molecular triggers such as the maturation of specific neurotransmitter systems, influence persistent versus eliminated synapses and constitutes the sensitive period. Because the timing of this second phase can be estimated in humans and rodent from the developmental trajectory of each circuit in each species, the relative timing of sensitive periods can be estimated across species [32, 33].

Artificially augmenting maternal care via ‘handling’ has been widely shown to enhance cognitive and emotional outcomes in rodents. Daily brief separations predictably promote recurrent intense barrages of maternal care behavior upon returning the pups to the cage [34], and this enrichment has consistently been shown to lead to a well-regulated response to stress, as well as enhanced memory functions [3537], as found in other enrichment studies in animals [34, 3841]. Accordingly, natural variation in the quantity and quality of maternal care behaviors correlates with pups’ outcomes, supporting the positive effects of extensive and consistent maternal-derived sensory input to developing rat pups on cognitive and social behaviors [22, 42].

In humans, the landmark Bucharest Early Intervention Project (BEIP) randomized institutionalized children to therapeutic foster homes and compared them to those remaining in institutional care [15]. Results suggested that the first two years of life might be the developmental period most sensitive to the negative effects of primary caregiver deprivation on later cognitive and emotional outcomes, a finding augmented by a second sample that suggests that different brain circuits have different sensitive periods, emphasizing the amygdala-prefrontal cortex circuitry [11]. However, much more work is needed to address sensitive periods in human development, and we propose the use of randomized controlled trials of discrete and targeted enhancements in early childhood that is informed by animal studies as the next most feasible and important scientific step.

Specificity of Experience Type on Neurodevelopment

Evidence of some neural specificity of types of adversity in both animals and humans is available. These types of adversity include abuse, neglect, deprivation, poverty, and unpredictability and fragmentation of parental care and environmental signals. The broader construct of adverse childhood experiences (ACEs) includes many of these factors as well as exposure to parental mental disorder and criminal behavior [43]. Notably, these forms of early adversity often co-occur, and share enhanced risk for poor neurodevelopmental outcomes, and psychiatric disorders [18, 23, 4447]. A critical issue is whether forms of early adversity converge on the same aspects of brain structure and function, or alternatively, whether there is evidence of neural specificity to particular forms of adversity. The challenge in dissociating these diverse components of adversity in human studies, led to assessing the issue in experimental animals where paradigms have been designed to simulate distinct aspects of early-life adversity. These include separation from the dam once or chronically [30, 31, 4850] (for review see [24]) and simulated poverty/resource scarcity [6, 23, 2529]. Notably, as is the case in human adversity, most of these paradigms intermingle, generating maternal stress which disrupts maternal care patterns rendering them unpredictable or abusive [6, 21, 23, 26] (for reviews see [24, 29]. Thus, assessing the selective contribution of different components of adversity on cognitive and emotional outcomes remains a significant challenge in both human and animal studies.

Specificity: which brain regions are impacted and when?

The functional consequences of early-life adversity are a result of disruption of the development of the underlying brain regions and circuits. To date, much of the literature has focused on particular brain regions, but future work will need to more clearly embed such regions in the larger networks in which they function. Many studies converge on a relation between distinct types of early adversity and hippocampal structure and function, including reductions in hippocampal volume associated with poverty [5159], reduced maternal support [60, 61] and abuse/adverse childhood experience (ACE) [1, 4, 62]. There is also evidence for reduced amygdala volume associated with poverty [52, 53, 55, 56, 63] which may vary by age [64]. Alterations in striatum structure in relation to early adversity, often associated with deficits in reward processing, have also been reported [65, 66]. Controlled animal work supports the causal nature of such associations [11, 21, 25, 28, 30, 49, 67].

A longitudinal neuroimaging study in humans found more complex developmentally-specific interactions between the timing of experience (preschool, school age, adolescence) and both positive and negative and regional brain effects [44]. Specifically, interactions between preschool ACEs and school age maternal support were found for both hippocampus and amygdala volumes, such that school age maternal support was associated with greater volumes, only in the context of low preschool ACEs. However, for the caudate, a pattern suggesting early emerging additive reductions in caudate volume were associated independently with preschool maternal support and ACEs that were stable over time. These findings suggest that there is regional, and likely circuit, specificity to the timing of adversity and support as they influence brain maturation, providing clues for the design of future neurodevelopmental optimization strategies.

Neurodevelopmental Enhancement Programs Informed by Timing and Specificity

We aim to employ this empiric knowledge of distinct sensitive periods and generate additional information to achieve larger and more sustained neuroprotective effects from the negative consequences of adversity. To achieve this, we propose the use of focused enrichment paradigms in randomized controlled trials in early childhood. These studies should design enhancement interventions building on known sensitive periods in animal models and emerging human work and apply them to young child samples. The use of environmental enhancement that targets parenting more broadly is an important and feasible strategy that could test the importance of protections or enhancements during sensitive periods at varying ages, and most importantly targeting birth to age 5. In addition, application of enhancement that directly targets the child and augments specific emotional or cognitive skill building at different ages will elucidate sensitive periods for human cognitive and emotional development. Specifically, infants/young children facing a variety of forms of adversity can be randomized to usual care versus enriched or stimulating settings for periods of time or enhanced parenting, at certain age periods, ideally those shown to be sensitive to particular inputs (e.g., before age two compared to later in preschool for enhanced parenting, etc.). Another design would be to expose young children to intensive training for specific cognitive and emotion skills (e.g. emotion recognition, executive function) also at specific developmental periods, and then compare them to those who do not receive the training. We suggest targeting interventions for children living in poverty or facing adversity who have primary caregivers whose support can be harnessed for such interventions as a first step. We propose to employ empirically validated early mental health interventions. One such example with large effect sizes and enduring efficacy and high feasibility is Attachment and Biobehavioral Catch Up (ABC, [68]) that is focused on enhancing early attachment. Other effective programs include child parent psychotherapy (CPP) [69], video based intervention to promote positive parenting (VIPP) [70], as well as several forms of preschool intervention Parent Child Interaction Therapy (PCIT) that have also demonstrated large effect sizes and enduring efficacy [71, 72]. These interventions can be tested at different age periods and varying “doses” with effects on brain structure and function pre and post intervention assessed. For assessing effects on brain network organization, one could employ for instance resting-state neuroimaging during sleep, and this could be augmented (or replaced) by feasible and less costly measures of neural function such as task-based EEG or Event Related Potentials. The proposed studies will inform and provide the building blocks of a new neurodevelopmental optimization approach that is pragmatic and cost-effective that could be applied broadly in public health settings.

Other broad and overall underexplored targets for enhancement of child neurodevelopment include sleep, diet and the gut microbiome. Early life adversity may disrupt these targets, which may contribute to suboptimal brain development. For example, the role of the developmental timing and quality of sleep and circadian rhythms during neurodevelopment should be further studied, as well as the possible effects of their disruption. Diet acting on brain development either directly or via alterations of the gut microbiome has increasingly been a focus of research, and emerging evidence in animal models suggests that replenishing specific micro- and macronutrient early in life may mitigate the cognitive consequences of experimentally imposed early-life adversity [7375]. The effects of all of these modifiable environmental factors on neurodevelopment should be further clarified in terms of the nature and timing of exposures, as they represent potential pathways for timing- and context-dependent neurodevelopmental optimization.

Concluding Remarks

We propose a concept and data-driven approach to neurodevelopmental optimization to enable enhancement programs promoting optimal cognitive and emotional outcomes in early childhood. Given the greater focus to date on risk factors, relatively little attention has been given to the notion of optimization, which can be useful to those at both high and low risk. For these programs to be effective, they need to incorporate basic principles of brain development and build on experimental animal models that enable establishing causality and mechanisms (see Outstanding Questions). The proposed interventional studies in humans could provide the foundation for large-scale, cost effective preventative approaches to mental illness.

Outstanding Questions.

  1. When--during development--are the key sensitive periods for social, emotional and cognitive skills?

  2. Are there specific sensitive periods and regional specificities for the effects of different types of adversity and nurturance on neurodevelopment?

  3. In order to apply neurobiological information from experimental animal-models to humans, focused and concerted trans-disciplinary cross-species studies are needed. Can research programs be designed to enhance productive and cutting-edge cross-species research?

  4. How can findings from both experimental models and human research be harnessed to design a neurodevelopmental enhancement program to protect children from adversities at key time periods and inform the timing of developmental enhancement in specific domains?

  5. Can insights from such research efforts be applied on a broad, public- health level for prevention and early intervention strategies?

Figure 1: Factors in the Optimization of Early Childhood Neurodevelopment.

Figure 1:

The schematic illustrates the theoretical optimization model, where umbrellas represent the specific need for protection from adversity at key timepoints (to be empirically determined) based on sensitive periods. Enhancement is applied during phases of development also based on these empirically determined periods and child’s individual needs. Lightning bolts represent adversity that developing children may face. Placement of these icons in the figure are currently speculative awaiting empirical anchoring based on animal and human enhancement trials to inform the timing of sensitive periods.

Highlights.

  1. Human brain development is influenced by exposure to early-life experiences, including enrichment and adversity, with cognitive and emotional consequences including vulnerability to or protection from mental illness.

  2. The timing of the exposure is critical, because there are sensitive periods when vulnerability is augmented; sensitive periods may pertain also to the timing of enrichment or mitigation efforts.

  3. Animal studies indicate that sensitive periods are specific for distinct brain regions and circuits, providing a timing framework for selective and insult-specific interventions.

  4. Capitalizing on findings gleaned from animal-model studies and human imaging in childhood, we propose the ‘next steps’ in cross-species research towards the goal of optimizing cognitive and emotional health in developing children.

  5. Neurodevelopmental optimization research should address issues including deprivation, unpredictability and insecure attachment, as well as potentially sleep, diet and gut microbiome via carefully timed randomized enhancement trials.

Acknowledgements

Supported by RO1 MH R01MH090786, P50 MH06889 and RO1 MH73136, R01 MH113570

Footnotes

Disclosures: The authors declare no conflicts of interests related to the work

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References

  • 1.Bick J and Nelson CA (2016) Early adverse experiences and the developing brain. Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology 41, 177. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Klengel T and Binder EB (2015) Epigenetics of stress-related psychiatric disorders and gene× environment interactions. Neuron 86, 1343–1357 [DOI] [PubMed] [Google Scholar]
  • 3.Farah MJ (2018) Socioeconomic status and the brain: prospects for neuroscience-informed policy. Nature Reviews Neuroscience 19, 428–438 [DOI] [PubMed] [Google Scholar]
  • 4.McLaughlin KA, et al. (in press) Childhood adversity and neural development: A systematic review. Annual Reviews in Developmental Psychology [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Short AK and Baram TZ (2019) Early-life adversity and neurological disease: age-old questions and novel answers. Nature Reviews Neurology, 1–13 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Chen Y and Baram TZ (2016) Toward understanding how early-life stress reprograms cognitive and emotional brain networks. Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology 41, 197. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Wang X-D and Schmidt MV (2016) Molecular mechanisms for reprogramming hippocampal development and function by early-life stress. Frontiers in molecular neuroscience 9, 6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.McLaughlin KA, et al. (2012) Childhood adversities and first onset of psychiatric disorders in a national sample of US adolescents. Archives of general psychiatry 69, 1151–1160 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Egeland B, et al. (1993) Resilience as Process. Development and Psychopathology 5, 517–528 [Google Scholar]
  • 10.Luthar SS and Eisenberg N (2017) Resilient adaptation among at-risk children: Harnessing science toward maximizing salutary environments. Child development 88, 337–349 [DOI] [PubMed] [Google Scholar]
  • 11.Callaghan BL and Tottenham N (2016) The neuro-environmental loop of plasticity: A cross-species analysis of parental effects on emotion circuitry development following typical and adverse caregiving. Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology 41, 163–176 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Davis EP, et al. (2017) Exposure to unpredictable maternal sensory signals influences cognitive development across species. Proceedings of the National Academy of Sciences 114, 10390–10395 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Gabard-Durnam LJ and McLaughlin KA (2019) Do Sensitive Periods Exist for Exposure to Adversity? Biological psychiatry 85, 789–791 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Knudsen EI (2004) Sensitive Periods in the Development of the Brain and Behavior. Journal of Cognitive Neuroscience 16, 1412–1425 [DOI] [PubMed] [Google Scholar]
  • 15.Reh RK, et al. (2020) Critical period regulation across multiple timescales. Proceedings of the National Academy of Sciences [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Hensch TK and Bilimoria PM (2012) Re-opening windows: manipulating critical periods for brain development. In Cerebrum: the Dana forum on brain science, Dana Foundation [PMC free article] [PubMed] [Google Scholar]
  • 17.Huh CY, et al. (2020) Long-term monocular deprivation during juvenile critical period disrupts binocular integration in mouse visual thalamus. Journal of Neuroscience 40, 585–604 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Avishai-Eliner S, et al. (2002) Stressed-out, or in (utero)? Trends in neurosciences 25, 518–524 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Birnie MT, et al. (2020) Plasticity of the reward circuitry after early life adversity: mechanisms and significance. Biological psychiatry 87:875–884.i [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Espinosa JS and Stryker MP (2012) Development and plasticity of the primary visual cortex. Neuron 75, 230–249 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Bolton JL, et al. (2018) Anhedonia following early-life adversity involves aberrant interaction of reward and anxiety circuits and is reversed by partial silencing of amygdala corticotropin-releasing hormone gene. Biological psychiatry 83, 137–147 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Champagne FA (2010) Early adversity and developmental outcomes: Interaction between genetics, epigenetics, and social experiences across the life span. Perspectives on Psychological Science 5, 564–574 [DOI] [PubMed] [Google Scholar]
  • 23.Molet J, et al. (2016) Fragmentation and high entropy of neonatal experience predict adolescent emotional outcome. Translational psychiatry 6, e702. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.van Bodegom M, et al. (2017) Modulation of the hypothalamic-pituitary-adrenal axis by early life stress exposure. Frontiers in cellular neuroscience 11, 87. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Molet J, et al. (2016) MRI uncovers disrupted hippocampal microstructure that underlies memory impairments after early-life adversity. Hippocampus 26, 1618–1632 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Raineki C, et al. (2019) During infant maltreatment, stress targets hippocampus, but stress with mother present targets amygdala and social behavior. Proceedings of the National Academy of Sciences, 201907170 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Bath KG, et al. (2017) Early life stress leads to developmental and sex selective effects on performance in a novel object placement task. Neurobiology of stress 7, 57–67 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Lucassen PJ, et al. (2013) Perinatal programming of adult hippocampal structure and function; emerging roles of stress, nutrition and epigenetics. Trends in neurosciences 36, 621–631 [DOI] [PubMed] [Google Scholar]
  • 29.Walker C-D, et al. (2017) Chronic early life stress induced by limited bedding and nesting (LBN) material in rodents: critical considerations of methodology, outcomes and translational potential. Stress 20, 421–448 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Huot RL, et al. (2002) Neonatal maternal separation reduces hippocampal mossy fiber density in adult Long Evans rats. Brain research 950, 52–63 [DOI] [PubMed] [Google Scholar]
  • 31.Kosten TA, et al. (2007) Memory impairments and hippocampal modifications in adult rats with neonatal isolation stress experience. Neurobiology of learning and memory 88, 167–176 [DOI] [PubMed] [Google Scholar]
  • 32.Schafer DP, et al. (2012) Microglia sculpt postnatal neural circuits in an activity and complement-dependent manner. Neuron 74, 691–705 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Zeanah CH, et al. (2011) VI. Sensitive periods. Monographs of the Society for Research in Child Development 76, 147–162 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Korosi A and Baram TZ (2009) The pathways from mother’s love to baby’s future. Frontiers in Behavioral Neuroscience 3, 27. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Plotsky PM and Meaney MJ (1993) Early, postnatal experience alters hypothalamic corticotropin-releasing factor (CRF) mRNA, median eminence CRF content and stress-induced release in adult rats. Molecular brain research 18, 195–200 [DOI] [PubMed] [Google Scholar]
  • 36.Singh-Taylor A, et al. (2018) NRSF-dependent epigenetic mechanisms contribute to programming of stress-sensitive neurons by neonatal experience, promoting resilience. Molecular psychiatry 23, 648–657 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Korosi A, et al. (2010) Early-life experience reduces excitation to stress-responsive hypothalamic neurons and reprograms the expression of corticotropin-releasing hormone. Journal of Neuroscience 30, 703–713 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Francis DD, et al. (2002) Environmental enrichment reverses the effects of maternal separation on stress reactivity. Journal of Neuroscience 22, 7840–7843 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Bredy TW, et al. (2004) Peripubertal environmental enrichment reverses the effects of maternal care on hippocampal development and glutamate receptor subunit expression. European Journal of Neuroscience 20, 1355–1362 [DOI] [PubMed] [Google Scholar]
  • 40.Sotnikov S, et al. (2014) Enriched environment impacts trimethylthiazoline-induced anxiety-related behavior and immediate early gene expression: critical role of C rhr1. European Journal of Neuroscience 40, 2691–2700 [DOI] [PubMed] [Google Scholar]
  • 41.Curley JP, et al. (2009) Social enrichment during postnatal development induces transgenerational effects on emotional and reproductive behavior in mice. Frontiers in behavioral neuroscience 3, 25. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Parent CI and Meaney MJ (2008) The influence of natural variations in maternal care on play fighting in the rat. Developmental Psychobiology: The Journal of the International Society for Developmental Psychobiology 50, 767–776 [DOI] [PubMed] [Google Scholar]
  • 43.Harris NB (2018) The deepest well: Healing the long-term effects of childhood adversity. Houghton Mifflin Harcourt [Google Scholar]
  • 44.Luby JL, et al. (2019) Association of Timing of Adverse Childhood Experiences and Caregiver Support With Regionally Specific Brain Development in Adolescents. JAMA network open 2, e1911426–e1911426 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Gee DG, et al. (2013) Early developmental emergence of human amygdala-prefrontal connectivity after maternal deprivation. Proceedings of the National Academy of Sciences of the United States of America 110, 15638–15643 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Goff B, et al. (2013) Reduced nucleus accumbens reactivity and adolescent depression following early-life stress. Neuroscience 249, 129–138 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Davis EP, et al. (2019) Across continents and demographics, unpredictable maternal signals are associated with children’s cognitive function. EBioMedicine 46, 256–263 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.González-Pardo H, et al. (2019) Influence of environmental enrichment on the volume of brain regions sensitive to early life stress by maternal separation in rats. Psicothema 31, 46–52 [DOI] [PubMed] [Google Scholar]
  • 49.Guijarro JZ, et al. (2007) Effects of brief and long maternal separations on the HPA axis activity and the performance of rats on context and tone fear conditioning. Behavioural brain research 184, 101–108 [DOI] [PubMed] [Google Scholar]
  • 50.Spencer-Booth Y and Hinde RA (1971) The effects of 13 days maternal separation on infant rhesus monkeys compared with those of shorter and repeated separations. Animal behaviour 19, 595–605 [DOI] [PubMed] [Google Scholar]
  • 51.Luby JL, et al. (2013) The effects of poverty on childhood brain development: the mediating effect of caregiving and stressful life events. JAMA Pediatr 167, 1135–1142 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Hanson JL, et al. (2015) Behavioral problems after early life stress: contributions of the hippocampus and amygdala. Biological psychiatry 77, 314–323 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Jednorog K, et al. (2012) The influence of socioeconomic status on children’s brain structure. PLoS One 7, e42486. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Hanson JL, et al. (2011) Association between income and the hippocampus. PLoS One 6, e18712. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Noble KG, et al. (2012) Hippocampal volume varies with educational attainment across the lifespan. Front Hum Neurosci 6, 307. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Butterworth P, et al. (2012) The association between financial hardship and amygdala and hippocampal volumes: results from the PATH through life project. Social cognitive and affective neuroscience 7, 548–556 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Piras F, et al. (2011) Education mediates microstructural changes in bilateral hippocampus. Hum Brain Mapp 32, 282–289 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Staff RT, et al. (2012) Childhood socioeconomic status and adult brain size: childhood socioeconomic status influences adult hippocampal size. Ann Neurol 71, 653–660 [DOI] [PubMed] [Google Scholar]
  • 59.Palacios-Barrios EE and Hanson JL (2019) Poverty and self-regulation: Connecting psychosocial processes, neurobiology, and the risk for psychopathology. Comprehensive psychiatry 90, 52–64 [DOI] [PubMed] [Google Scholar]
  • 60.Luby JL, et al. (2016) Preschool is a sensitive period for the influence of maternal support on the trajectory of hippocampal development. Proceedings of the National Academy of Sciences of the United States of America 113, 5742–5747 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Luby JL, et al. (2012) Maternal support in early childhood predicts larger hippocampal volumes at school age. Proceedings of the National Academy of Sciences of the United States of America 109, 2854–2859 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Herzog JI and Schmahl C (2018) Adverse childhood experiences and the consequences on neurobiological, psychosocial, and somatic conditions across the lifespan. Frontiers in psychiatry 9 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63.Noble KG, et al. (2012) Neural correlates of socioeconomic status in the developing human brain. Dev Sci 15, 516–527 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Merz EC, et al. (2018) Socioeconomic status, amygdala volume, and internalizing symptoms in children and adolescents. Journal of Clinical Child & Adolescent Psychology 47, 312–323 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Novick AM, et al. (2018) The effects of early life stress on reward processing. Journal of psychiatric research 101, 80–103 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66.Dennison MJ, et al. (2019) Differential associations of distinct forms of childhood adversity with neurobehavioral measures of reward processing: a developmental pathway to depression. Child development 90, e96–e113 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67.Guadagno A, et al. (2018) Morphological and functional changes in the preweaning basolateral amygdala induced by early chronic stress associate with anxiety and fear behavior in adult male, but not female rats. Progress in Neuro-Psychopharmacology and Biological Psychiatry 81, 25–37 [DOI] [PubMed] [Google Scholar]
  • 68.Dozier M and Bernard K (2019) Coaching parents of vulnerable infants: The attachment and biobehavioral catch-up approach. Guilford Publications [Google Scholar]
  • 69.Lieberman AF (2004) Child-Parent Psychotherapy: A Relationship-Based Approach to the Treatment of Mental Health Disorders in Infancy and Early Childhood In Treating parent-infant relationship problems: Strategies for intervention. (Sameroff AJ., et al., eds), pp. 97–122, Guilford Press [Google Scholar]
  • 70.Van Zeijl J, et al. (2006) Attachment-based intervention for enhancing sensitive discipline in mothers of 1-to 3-year-old children at risk for externalizing behavior problems: A randomized controlled trial. Journal of consulting and clinical psychology 74, 994. [DOI] [PubMed] [Google Scholar]
  • 71.Fisher PA, et al. (2016) Promoting healthy child development via a two-generation translational neuroscience framework: the Filming Interactions to Nurture Development video coaching program. Child Development Perspectives 10, 251–256 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 72.Eyberg SM, et al. (2001) Parent-Child Interaction Therapy with behavior problem children: One and two year maintenance of treatment effects in the family. Child & Family Behavior Therapy 23, 1–20 [Google Scholar]
  • 73.Naninck EF, et al. (2017) Early micronutrient supplementation protects against early stress–induced cognitive impairments. The FASEB Journal 31, 505–518 [DOI] [PubMed] [Google Scholar]
  • 74.Abbink MR, et al. (2020) The Effects of Early Life Stress, Postnatal Diet Modulation, and Long-Term Western-Style Diet on Later-Life Metabolic and Cognitive Outcomes. Nutrients 12, 570. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75.Yam K-Y, et al. (2019) Increasing availability of ω−3 fatty acid in the early-life diet prevents the early-life stress-induced cognitive impairments without affecting metabolic alterations. The FASEB Journal 33, 5729–5740 [DOI] [PubMed] [Google Scholar]

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