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Understanding basic concepts of developmental diagnosis in children.

ABSTRACT: Developmental diagnosis is based on an understanding of basic concepts of typical and atypical developmental progression. Child development is influenced by multiple factors, including the development of the nervous system and other organ systems, and the child's physical and social environment. Different factors interplay with each other in influencing the overall development of the child. Development and behavior of the child are intricately associated. Typical child development follows certain basic principles. Some of the more commonly reported developmental concerns include global developmental delay, intellectual disability, cerebral palsy, delayed speech and language, attention deficits, autism, and specific learning disabilities. The clinical presentation of atypical development varies, depending up on the age of the child; with motor delay in early infancy, and learning difficulties in school age child. Regular surveillance and periodic screening help identify specific areas of developmental and behavioral concerns and suggest a need for further appropriate psychological, medical and laboratory evaluation. The principles of management of a child with developmental concerns include early intervention and response to treatment approach, remediation, accommodation, and specific behavioral and pharmacological interventions when indicated.

SUBMITTER: Brown KA

PROVIDER: S-EPMC7082247 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature

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Understanding basic concepts of developmental diagnosis in children.

Brown Kelly A KA Parikh Sonia S Patel Dilip R DR

Translational pediatrics 20200201 Suppl 1

Developmental diagnosis is based on an understanding of basic concepts of typical and atypical developmental progression. Child development is influenced by multiple factors, including the development of the nervous system and other organ systems, and the child's physical and social environment. Different factors interplay with each other in influencing the overall development of the child. Development and behavior of the child are intricately associated. Typical child development follows certai ...[more]

PMID: 32206580

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Project description:BackgroundNetwork concepts are increasingly used in biology and genetics. For example, the clustering coefficient has been used to understand network architecture; the connectivity (also known as degree) has been used to screen for cancer targets; and the topological overlap matrix has been used to define modules and to annotate genes. Dozens of potentially useful network concepts are known from graph theory.ResultsHere we study network concepts in special types of networks, which we refer to as approximately factorizable networks. In these networks, the pairwise connection strength (adjacency) between 2 network nodes can be factored into node specific contributions, named node 'conformity'. The node conformity turns out to be highly related to the connectivity. To provide a formalism for relating network concepts to each other, we define three types of network concepts: fundamental-, conformity-based-, and approximate conformity-based concepts. Fundamental concepts include the standard definitions of connectivity, density, centralization, heterogeneity, clustering coefficient, and topological overlap. The approximate conformity-based analogs of fundamental network concepts have several theoretical advantages. First, they allow one to derive simple relationships between seemingly disparate networks concepts. For example, we derive simple relationships between the clustering coefficient, the heterogeneity, the density, the centralization, and the topological overlap. The second advantage of approximate conformity-based network concepts is that they allow one to show that fundamental network concepts can be approximated by simple functions of the connectivity in module networks.ConclusionUsing protein-protein interaction, gene co-expression, and simulated data, we show that a) many networks comprised of module nodes are approximately factorizable and b) in these types of networks, simple relationships exist between seemingly disparate network concepts. Our results are implemented in freely available R software code, which can be downloaded from the following webpage: http://www.genetics.ucla.edu/labs/horvath/ModuleConformity/ModuleNetworks.

Dataset Information

Understanding basic concepts of developmental diagnosis in children.

Publications

Understanding basic concepts of developmental diagnosis in children.

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