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Updated: Jul 5, 2026

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Infant Auditory Processing and Event-related Brain Oscillations
Published on: July 1, 2015
Phylogenetic proximity revealed by neurodevelopmental event timings
Radhakrishnan Nagarajan1, Barbara Clancy
1Department of Biostatistics, University of Arkansas for Medical Sciences, COPH/UAMS, Room 3234, 4301 W Markham, Slot 781, Little Rock, AR 72205-7199, USA. nagarajanradhakrish@uams.edu
Neuroinformatics
|May 24, 2008
Summary
Statistical analysis of neurodevelopmental timing in rats, mice, and macaques reveals patterns reflecting phylogenetic relationships. This supports comparative modeling and meta-analyses in developmental biology research.
Area of Science:
- Comparative neurodevelopmental biology
- Evolutionary developmental biology
- Biostatistics
Background:
- Rats, mice, and macaques are key models in neurodevelopmental research.
- Understanding conserved and divergent developmental timing is crucial for cross-species comparisons.
- Existing databases of neurodevelopmental events offer opportunities for statistical analysis.
Purpose of the Study:
- To investigate statistical properties of common neurodevelopmental events across species.
- To explore the relationship between phylogenetic proximity and developmental timing.
- To assess the utility of developmental timing as a measure of phylogenetic classification.
Main Methods:
- Compiled a temporal database of 40 common neurodevelopmental events.
- Analyzed event distributions using exponential and power-law approximations.
- Employed hierarchical clustering and multivariate linear regression on event timings.
Main Results:
- Found strong correlations between phylogenetic proximity and empirically derived event timings.
- Observed similar decay patterns in event distributions for rats and mice compared to macaques.
- Hierarchical clustering and regression analyses confirmed the association between timing and phylogeny.
Conclusions:
- Statistical analysis of neurodevelopmental milestone timing can serve as a novel phylogenetic measure.
- Results support the reliability of rat and mouse models for comparative neurodevelopmental studies.
- This approach has implications for meta-analyses utilizing empirical literature data.

