PSYCO258 Lecture Notes - Lecture 4: Default Mode Network, Diffusion Mri, Artificial Neural Network
11 Feb 2019
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Document Summary
Early research into resting state led to the discovery of the default mode network (dmn), a network of brain regions that are active at rest (i. e. when someone is not engaged in any specific task) Muli-voxel pattern analysis (mvpa) is an fmri method that measures coordinated activity throughout the brain. Contrasts with the more traditional approach grounded in localization of function, in which activation in regions of interest (roi) is measured. Seems more consistent with the idea of distributed representation. See image on next slide for an mvpa example. Diffusion tensor imaging (dti) uses mri technology to map out major pathways (tracts: bundles of axons) in the brain. Can also be referred to as track-weighted imaging (twi) Works by quantifying the rate and direction of water diffusion in tracts within the brain (based on brownian motion) Dti can be useful for understanding how differences in the structural connectivity between different regions of the brain are related to various factors.
