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Explores anisotropic water diffusion in myelinated axons and its implications for diffusion tensor imaging and fiber tracking using diffusion MRI.
Introduces the basics of brain connectomics, including terminology, data preprocessing, functional MRI, connectivity measures, and modular structure.
Explores gradient echo contrast (T2*) in biomedical imaging, covering T2* weighting, contrast mechanisms in MRI, venography, BOLD fMRI, and spatial encoding techniques.
Explores brain node connectivity, node degree, strength, random networks, power law distributions, and the complexity of real networks.
Explores paths, diffusion, and navigation in brain networks, including topics like Dijkstra's algorithm and network efficiency.
Explores higher-order interactions in brain networks using simplicial complexes and information theory, analyzing data from fMRI, financial time-series, and infectious diseases.
Explores neuronal connectivity patterns, connection probabilities, and experimental techniques used to study synaptic connectivity.
