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A connectome is a map of the brain as a network of neurons.
The researchers used knowledge about brain anatomy and function and applied a mathematical concept called "graph theory," which allowed them to examine the brain as a network.
Fiber clustering is designed to reconstruct anatomically-defined white matter tracts, while the parcellation-based white matter segmentation enables the study of the brain as a network.
It embodies the notion of representing and understanding all connections within the brain as a network, while the subdivision of the brain into interacting functional units is inherent in its architecture.
Let the brain as a network flourish.
Artificial neural networks were inspired by biological findings relating to the behaviour of the brain as a network of units called neurons (Rumelhart et al. 1986).
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It may be because the brain functions as a network (in other words, you require all of your brain to be functioning normally to be at your best).
Our results indicate that representing event-related brain activity as a network is a viable option for investigation.
Our results indicate that representing event-related brain activity as a network using a simple temporal relation, such as the negative feedback loop, to indicate directional connectivity is a viable option for investigation which also derives new information about aspects not reflected in the classical methods for investigating brain activity.
Modelling the human brain as a complex network has provided a powerful mathematical framework to characterize the structural and functional architectures of the brain.
Graph theory-based approaches model the brain as a complex network, representing it graphically using a collection of nodes and edges.
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