Corrigendum: Hypernetwork Construction and Feature Fusion Analysis Based on Sparse Group Lasso Method on fMRI Dataset (Frontiers in Neuroscience, (2020), 14, 10.3389/fnins.2020.00060)

Abstract

In the original article, there was an error in the title. Instead of “Hypernetwork Construction and Feature Fusion Analysis Based on Sparse Group Lasso Method on Functional fMRI Dataset” it should be “Hypernetwork Construction and Feature Fusion Analysis Based on Sparse Group Lasso Method on fMRI Dataset”. Additionally, in Equations (4) and (7) the parameters mentioned and its explanations were wrong. “n” should be superscript and not subscript. Also in Equation (4), “x” should not be in italics and “a” should be in italics. A correction has been made to the following sections: The Materials and Methods section, subsection Construction of Hypernetwork, sub-subsection Sparse Linear Regression Model, paragraph 2: “The average time series of m-th ROI for n-th subject, xn m = An man (Formula presented.). , can be viewed as a response vector, which can be estimated as a linear combination of time series of other ROIs. The sparse linear regression model is specifically expressed as follows: (Formula presented.) The authors apologize for these errors and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.