Independent component analysis (ICA) has become an increasingly utilized approach for
analyzing brain imaging data. In contrast to the widely used general linear model (GLM) that …

The acquisition of multiple brain imaging types for a given study is a very common practice.
There have been a number of approaches proposed for combining or fusing multitask or …

Multimodal fusion is becoming more common as it proves to be a powerful approach to
identify complementary information from multimodal datasets. However, simulation of joint …

Integrating information from multiple biological layers is a key approach to unraveling the
complexities of the human brain, with its multiple overlapping structural and functional …

Different imaging modalities can provide complementary information and fusing those can
leverage their unique views into the brain. Independent component analysis (ICA) and its …

Independent component analysis (ICA) is increasingly utilized as a tool for evaluating the
hidden spatiotemporal structure contained within brain imaging data. In this chapter, we first …

Mental illnesses are serious disorders of the brain that have devastating effects on
individuals and society. In addition to their disabling and impairing effects, mental illnesses …