ICAderived
ICAderived refers to a concept or entity that is the result of an Independent Component Analysis (ICA) process. Independent Component Analysis is a statistical technique used for separating a multivariate signal into additive subcomponents that are statistically independent from each other. When ICA is applied to a dataset, the output components are the statistically independent sources that are believed to have linearly combined to form the observed signals. Therefore, anything referred to as "ICAderived" originates from or is a product of this signal separation method.
In practice, ICAderived components might represent distinct underlying factors in various fields. For example, in neuroimaging,