AI Medical Compendium Journal:
Network neuroscience (Cambridge, Mass.)

Showing 1 to 3 of 3 articles

Connectome embedding in multidimensional graph spaces.

Network neuroscience (Cambridge, Mass.)
Connectomes' topological organization can be quantified using graph theory. Here, we investigated brain networks in higher dimensional spaces defined by up to 10 graph theoretic nodal properties. These properties assign a score to nodes, reflecting t...

Generative dynamical models for classification of rsfMRI data.

Network neuroscience (Cambridge, Mass.)
The growing availability of large-scale neuroimaging datasets and user-friendly machine learning tools has led to a recent surge in studies that use fMRI data to predict psychological or behavioral variables. Many such studies classify fMRI data on t...

Fluid and flexible minds: Intelligence reflects synchrony in the brain's intrinsic network architecture.

Network neuroscience (Cambridge, Mass.)
Human intelligence has been conceptualized as a complex system of dissociable cognitive processes, yet studies investigating the neural basis of intelligence have typically emphasized the contributions of discrete brain regions or, more recently, of ...