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Updated: May 17, 2026
08:51
Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms
Published on: November 1, 2019
Communication and wiring in the cortical connectome.
Julian M L Budd1, Zoltán F Kisvárday
1Department of Informatics, University of Sussex Falmer, East Sussex, UK.
Frontiers in Neuroanatomy
|October 23, 2012
Summary
Cortical wiring may balance construction costs and signal speed, not just minimize axon length. This principle applies to single neurons and large pathways, but local circuits need more data.
Area of Science:
- Neuroscience
- Computational Neuroscience
- Systems Neuroscience
Background:
- The cerebral cortex's axonal wiring forms the neural basis for cognition and perception.
- Understanding the cortical connectome requires deciphering the principles of neural connectivity.
- Previous hypotheses suggested axonal length minimization as the primary wiring principle.
Purpose of the Study:
- To evaluate the multi-scale wiring principle hypothesis in the cerebral cortex.
- To investigate the trade-off between spatial (construction) and temporal (routing) costs in cortical connectivity.
- To assess this hypothesis at neuron, local circuit, and pathway scales.
Main Methods:
- Critical evaluation of recent evidence concerning cortical spatial networks.
- Analysis of axonal and dendritic arbor morphology in neocortical neurons.
- Examination of fiber tracts connecting cortical regions.
Main Results:
- A wiring principle balancing cellular material conservation and conduction delay may govern single neuron morphology.
- This principle appears applicable to fiber tracts connecting cortical regions.
- Sufficient data on local cortical circuits is lacking for hypothesis assessment at this scale.
Conclusions:
- The hypothesized trade-off between spatial and temporal costs offers a potential explanation for cortical wiring patterns.
- The connectome framework should integrate more morphological data, including neuron and microcircuit levels.
- Future analyses of temporal costs must consider both axonal conduction and neuronal integration delays.
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