Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Dual computational systems in the development and evolution of mammalian brains.

Science advances·2026

Same author

The Multiple Contexts of Brain Scaling: Phenotypic Integration in Brain and Behavioral Evolution.

Brain, behavior and evolution·2022

Same author

The neuroecology of the water-to-land transition and the evolution of the vertebrate brain.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences·2021

Same author

Self-organization of cortical areas in the development and evolution of neocortex.

Proceedings of the National Academy of Sciences of the United States of America·2020

Same author

Developmental duration as an organizer of the evolving mammalian brain: scaling, adaptations, and exceptions.

Evolution & development·2019

Same author

The neuroscience of vision and pain: evolution of two disciplines.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences·2019

Search research articles

Related Experiment Video

Updated: Jul 16, 2026

A Comparative Approach for Quantitative Cell Counting Studies in Widely Different Mammalian Brains

A Comparative Approach for Quantitative Cell Counting Studies in Widely Different Mammalian Brains

Published on: January 16, 2026

Extrapolating brain development from experimental species to humans.

Barbara Clancy¹, Barbara L Finlay, Richard B Darlington

¹University of Central Arkansas, AR, United States. barbaraclancy@mac.com

Neurotoxicology

|March 21, 2007

Summary

Neuroinformatics offers a novel approach to understanding human brain development by integrating diverse data. This method aids in comparing developmental timelines across species and predicting human neurodevelopmental events.

More Related Videos

Generation of Standardized and Reproducible Forebrain-type Cerebral Organoids from Human Induced Pluripotent Stem Cells

Generation of Standardized and Reproducible Forebrain-type Cerebral Organoids from Human Induced Pluripotent Stem Cells

Published on: January 23, 2018

Fabrication of an Expandable Brain Matrix Customizable Across Developmental Stages

Fabrication of an Expandable Brain Matrix Customizable Across Developmental Stages

Published on: February 20, 2026

Related Experiment Videos

Last Updated: Jul 16, 2026

A Comparative Approach for Quantitative Cell Counting Studies in Widely Different Mammalian Brains

A Comparative Approach for Quantitative Cell Counting Studies in Widely Different Mammalian Brains

Published on: January 16, 2026

Generation of Standardized and Reproducible Forebrain-type Cerebral Organoids from Human Induced Pluripotent Stem Cells

Generation of Standardized and Reproducible Forebrain-type Cerebral Organoids from Human Induced Pluripotent Stem Cells

Published on: January 23, 2018

Fabrication of an Expandable Brain Matrix Customizable Across Developmental Stages

Fabrication of an Expandable Brain Matrix Customizable Across Developmental Stages

Published on: February 20, 2026

Area of Science:

Neuroscience
Evolutionary Biology
Computational Biology
Statistical Modeling

Background:

Understanding neurotoxic effects on the developing human nervous system requires data from various model species.
Current methods for extrapolating developmental timing from animals to humans have limitations in detail and scope.
Existing methods often focus narrowly on rat-to-human comparisons and struggle to account for regional developmental differences.

Purpose of the Study:

To review existing methods for comparing mammalian and human brain development timelines.
To introduce neuroinformatics as a superior approach for cross-species developmental analysis.
To provide a resource for equating neurodevelopmental data across species and predicting human events.

Main Methods:

Review of common extrapolation methods: morphological comparisons, "rules of thumb," and "event-based" analyses.
Introduction of neuroinformatics, integrating neuroscience, evolutionary science, statistical modeling, and computer science.
Application of neuroinformatics using numerical values for 10 mammalian species and hundreds of developmental neural events.

Main Results:

Existing methods for cross-species developmental timing are limited in range, detail, and applicability.
Neuroinformatics provides a robust framework for analyzing and comparing neurodevelopmental timelines.
An accessible online resource (http://www.translatingtime.net/) has been developed.

Conclusions:

Neuroinformatics offers a powerful solution to the limitations of traditional methods in cross-species developmental neuroscience.
The developed resource facilitates the translation of developmental data between species and aids in predicting human neurodevelopmental events.
This approach supports the development of more clinically relevant experimental models for studying human neurodevelopment.