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Evolving agents as a metaphor for the developing child.

The emerging field of Evolutionary Computation (EC), inspired by neo-Darwinian principles (e.g. natural selection, mutation, etc. ), offers developmental psychologists a wide array of mathematical tools for simulating ontogenetic processes. In this brief review; I begin by highlighting three of the approaches that EC researchers employ (Artificial Life, evolutionary robotics and comparative stochastic optimization). I then focus on the advantages of using comparative stochastic optimization as a method for studying development. As a concrete example, I illustrate the design and implementation of an EC model that simulates the development of reaching in young infants.

Animals↗

Diffusion tensor imaging-based tissue segmentation: validation and application to the developing child and adolescent brain.

We present and validate a novel diffusion tensor imaging (DTI) approach for segmenting the human whole-brain into partitions representing grey matter (GM), white matter (WM) and cerebrospinal fluid (CSF). The approach utilizes the contrast among tissue types in the DTI anisotropy vs. diffusivity rotational invariant space. The DTI-based whole-brain GM and WM fractions (GMf and WMf) are contrasted with the fractions obtained from conventional magnetic resonance imaging (cMRI) tissue segmentation (or clustering) methods that utilized dual echo (proton density-weighted (PDw)), and spin-spin relaxation-weighted (T2w) contrast, in addition to spin-lattice relaxation weighted (T1w) contrasts acquired in the same imaging session and covering the same volume. In addition to good correspondence with cMRI estimates of brain volume, the DTI-based segmentation approach accurately depicts expected age vs. WM and GM volume-to-total intracranial brain volume percentage trends on the rapidly developing brains of a cohort of 29 children (6-18 years). This approach promises to extend DTI utility to both micro and macrostructural aspects of tissue organization.

Adolescent↗

Paternal depression in the postnatal period and child development: a prospective population study.

BACKGROUND: Depression is common and frequently affects mothers and fathers of young children. Postnatal depression in mothers affects the quality of maternal care, and can lead to disturbances in their children's social, behavioural, cognitive, and physical development. However, the effect of depression in fathers during the early years of a child's life has received little attention. METHODS: As part of a large, population-based study of childhood, we assessed the presence of depressive symptoms in mothers (n=13,351) and fathers (n=12,884) 8 weeks after the birth of their child with the Edinburgh postnatal depression scale (EPDS). Fathers were reassessed at 21 months. We identified any subsequent development of behavioural and emotional problems in their children (n=10,024) at age 3.5 years with maternal reports on the Rutter revised preschool scales. FINDINGS: Information was available for 8431 fathers, 11,833 mothers, and 10,024 children. Depression in fathers during the postnatal period was associated with adverse emotional and behavioural outcomes in children aged 3.5 years (adjusted odds ratio 2.09, 95% CI 1.42-3.08), and an increased risk of conduct problems in boys (2.66, 1.67-4.25). These effects remained even after controlling for maternal postnatal depression and later paternal depression. INTERPRETATION: Our findings indicate that paternal depression has a specific and persisting detrimental effect on their children's early behavioural and emotional development.

Child Behavior Disorders↗