Constructing Fine-granularity Functional Brain Network Atlases via Deep Convolutional Autoencoder

Understanding the organizational architecture of human brain function has been of intense interest since the inception of human neuroscience. After decades of active research using in-vivo functional neuroimaging techniques such as fMRI (Heeger  and Ress, 2002), there has been mounting evidence (Dosenbach et al., 2006; Duncan, 2010; Fedorenko et al., 2013; Fox et al., 2005; Pessoa et al., 2012) that the human brain function emerges from and is realized by the interaction of multiple concurrent neural processes or networks, each of wh ich is spatially distributed across specific structural substrate of neuroanatomical areas (Bullmore and Sporns, 2009; Huettel, Scott A., Allen W.

Source: Medical Image Analysis - August 17, 2017 Category: Radiology Authors: Yu Zhao, Qinglin Dong, Hanbo Chen, Armin Iraji, Yujie Li, Milad Makkie, Zhifeng Kou, Tianming Liu Source Type: research