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Connectivity and complexity: the relationship between neuroanatomy and brain dynamics
O Sporns1, G Tononi, G M Edelman
1The Neurosciences Institute, San Diego, CA 92121, USA. osporns@indiana.edu
Summary
The brain balances specialized processing (segregation) with integrated activity for perception. Neural complexity quantifies this balance, revealing how specific anatomical structures support complex cognitive functions.
Area of Science:
- Neuroscience
- Computational Neuroscience
- Systems Neuroscience
Background:
- Nervous systems must process sensory input efficiently while integrating information for coherent perception.
- Functional segregation (specialized neuronal sets) and functional integration (dynamic interactions) are key requirements.
- Changes in functional connectivity are implicated in perceptual and cognitive states.
Purpose of the Study:
- To quantitatively capture the interplay between functional segregation and integration in neural systems.
- To define and explore 'neural complexity' as a measure of this interplay.
- To identify neuroanatomical correlates of neural complexity.
Main Methods:
- Utilized concepts from statistical information theory to define neural complexity.
- Analyzed patterns of functional connectivity in neural systems.
- Investigated the association between neuroanatomical motifs and neural complexity.
Main Results:
- Neural complexity successfully quantifies the balance between functional segregation and integration.
- Specific neuroanatomical motifs are uniquely linked to high neural complexity.
- These complexity-associated motifs are found in long-range cortico-cortical pathways.
Conclusions:
- Neural complexity provides a framework for understanding how the brain integrates specialized processing.
- The findings highlight the role of specific anatomical structures in supporting complex brain functions.
- This work offers novel insights into the relationship between neural connectivity and complexity.