Environmental influences on the pace of brain development

Nature reviews. Neuroscience, Journal Year: 2021, Volume and Issue: 22(6), P. 372 - 384

Published: April 28, 2021

Childhood socio-economic status (SES), a measure of the availability material and social resources, is one strongest predictors lifelong well-being. Here we review evidence that experiences associated with childhood SES affect not only outcome but also pace brain development. We argue higher protracted structural development prolonged trajectory functional network segregation, ultimately leading to more efficient cortical networks in adulthood. hypothesize greater exposure chronic stress accelerates maturation, whereas access novel positive decelerates maturation. discuss impact variation on plasticity learning. provide generative theoretical framework catalyse future basic science translational research environmental influences Evidence suggests can its rate. Tooley, Bassett Mackey this suggest valence frequency early interact influence

Language: Английский

---

Stress and adolescence: vulnerability and opportunity during a sensitive window of development

Current Opinion in Psychology, Journal Year: 2021, Volume and Issue: 44, P. 286 - 292

Published: Oct. 25, 2021

Language: Английский

---

Synthesizing Views to Understand Sex Differences in Response to Early Life Adversity

Trends in Neurosciences, Journal Year: 2020, Volume and Issue: 43(5), P. 300 - 310

Published: March 16, 2020

Language: Английский

---

Early Adversity and Development: Parsing Heterogeneity and Identifying Pathways of Risk and Resilience

American Journal of Psychiatry, Journal Year: 2021, Volume and Issue: 178(11), P. 998 - 1013

Published: Nov. 1, 2021

Adversity early in life is common and a major risk factor for the onset of psychopathology. Delineating neurodevelopmental pathways by which adversity affects mental health critical identification targeted treatment approaches. A rapidly growing cross-species literature has facilitated advances identifying mechanisms linking with psychopathology, specific dimensions timing-related factors that differentially relate to outcomes, protective buffer against effects adversity. Yet, vast complexity heterogeneity environments trajectories contribute challenges understanding resilience context In this overview, author highlights progress four areas—mechanisms, heterogeneity, developmental timing, factors; synthesizes key challenges; provides recommendations future research can facilitate field. Translation across species ongoing refinement conceptual models have strong potential inform prevention intervention strategies reduce immense burden psychopathology associated

Language: Английский

---

Cross-cultural, developmental psychology: integrating approaches and key insights

Evolution and Human Behavior, Journal Year: 2020, Volume and Issue: 41(5), P. 430 - 444

Published: June 29, 2020

Language: Английский

---

Sensitive periods in human development: charting a course for the future

Current Opinion in Behavioral Sciences, Journal Year: 2020, Volume and Issue: 36, P. 120 - 128

Published: Nov. 6, 2020

Language: Английский

---

Reinforcement learning and Bayesian inference provide complementary models for the unique advantage of adolescents in stochastic reversal

Developmental Cognitive Neuroscience, Journal Year: 2022, Volume and Issue: 55, P. 101106 - 101106

Published: April 22, 2022

During adolescence, youth venture out, explore the wider world, and are challenged to learn how navigate novel uncertain environments. We investigated performance changes across adolescent development in a stochastic, volatile reversal-learning task that uniquely taxes balance of persistence flexibility. In sample 291 participants aged 8-30, we found mid-teen years, adolescents outperformed both younger older participants. developed two independent cognitive models, based on Reinforcement learning (RL) Bayesian inference (BI). The RL parameter for from negative outcomes BI parameters specifying participants' mental models were closest optimal adolescents, suggesting central role processing. By contrast, noise improved monotonically with age. distilled insights using principal component analysis three shared components interacted form peak: adult-like behavioral quality, child-like time scales, developmentally-unique processing positive feedback. This research highlights adolescence as neurodevelopmental window can create advantages It also shows detailed be gleaned by new ways.

Language: Английский

---

Sensitive periods in development and risk for psychiatric disorders and related endpoints: a systematic review of child maltreatment findings

The Lancet Psychiatry, Journal Year: 2022, Volume and Issue: 9(12), P. 978 - 991

Published: Nov. 17, 2022

Language: Английский

---

The emergence and development of behavioral individuality in clonal fish

Nature Communications, Journal Year: 2022, Volume and Issue: 13(1)

Published: Oct. 28, 2022

Behavioral individuality is a ubiquitous phenomenon in animal populations, yet the origins and developmental trajectories of individuality, especially very early life, are still black box. Using high-resolution tracking system, we mapped behavioral genetically identical fish (Poecilia formosa), separated immediately after birth into environments, over first 10 weeks their life at 3 s resolution. We find that (i) strong present day birth, (ii) differences 1 predict behavior up to least later, (iii) patterns strengthen gradually time. Our results establish null model for how can develop absence genetic environmental variation provide experimental evidence later-in-life be strongly shaped by factors pre-dating like maternal provisioning, epigenetics pre-birth stochasticity.

Language: Английский

---

The midpoint of cortical thinning between late childhood and early adulthood differs between individuals and brain regions: Evidence from longitudinal modelling in a 12-wave neuroimaging sample

NeuroImage, Journal Year: 2022, Volume and Issue: 261, P. 119507 - 119507

Published: July 23, 2022

Charting human brain maturation between childhood and adulthood is a fundamental prerequisite for understanding the rapid biological psychological changes during development. Two barriers have precluded quantification of maturational trajectories: demands on data estimation. Using high-temporal resolution neuroimaging up to 12-waves in HUBU cohort (N = 90, aged 7-21 years) we investigate apparent cortical thickness across adolescence. Fitting four-parameter logistic nonlinear random effects mixed model, quantified characteristic, s-shaped, trajectory thinning This approach yields biologically meaningful parameters, including midpoint (MCT), which corresponds age at cortex shows most - our sample occurring, average, 14 years age. These results show that, given suitable models, can be with precision each individual region.

Language: Английский

---