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Updated: Nov 16, 2025

Modeling the Functional Network for Spatial Navigation in the Human Brain
Published on: October 13, 2023
Anatomical comparison across heads, fore- and hindlimbs in mammals using network models
Janine M Ziermann1, Julia C Boughner2, Borja Esteve-Altava3
1Department of Anatomy, Howard University College of Medicine, Washington, DC, USA.
Anatomical Network Analysis reveals how animal body parts form functional modules. Differences in modularity between species suggest functional and developmental constraints shape evolution, with limb configurations showing less variation than heads.
Area of Science:
- Evolutionary Biology
- Comparative Anatomy
- Developmental Biology
Background:
- Animal body parts exhibit variable integration, forming functional phenotypes.
- Understanding developmental and evolutionary constraints is key to explaining phenotypic integration.
- Anatomical Network Analysis (AnNA) quantifies phenotypic modules based on physical connections.
Purpose of the Study:
- To identify commonalities and differences in modularity across species.
- To determine if anatomical modules possess phylogenetic character.
- To ascertain if modules reflect developmental, functional, or combined aspects of anatomy.
Main Methods:
- Constructed anatomical network models for the head, forelimb, and hindlimb of mouse, opossum, and human.
- Nodes represented anatomical units, and links represented physical connections.
- Analyzed skeletal and musculoskeletal networks to assess modularity and topology.
Main Results:
- Skeletal networks showed greater similarity across species than musculoskeletal networks.
- Musculoskeletal networks of heads and forelimbs exhibited more variation than hindlimbs.
- Human limb modules (digit 1) and opossum ear ossicles showed specialized functional adaptations.
Conclusions:
- Anatomical network topology is largely influenced by functional constraints.
- Developmental and phylogenetic factors may also play a role, particularly in specialized structures.
- Comparative AnNA provides insights into the evolution of anatomical integration and modularity.
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