Non-negative matrix factorization of multimodal MRI, fMRI and phenotypic data reveals differential changes in default mode subnetworks in ADHD

MLA

Mark S. Cohen, et al. “Non-Negative Matrix Factorization of Multimodal MRI, FMRI and Phenotypic Data Reveals Differential Changes in Default Mode Subnetworks in ADHD.” NeuroImage, Apr. 2013. EBSCOhost, https://doi.org/10.1016/j.neuroimage.2013.12.015.

APA

Mark S. Cohen, Virginia S. Haynes, Wesley T. Kerr, Ariana Anderson, Ying Nian Wu, Alan L. Yuille, Jesse A. Brown, Jianwen Xie, & Pamela K. Douglas. (2013). Non-negative matrix factorization of multimodal MRI, fMRI and phenotypic data reveals differential changes in default mode subnetworks in ADHD. NeuroImage. https://doi.org/10.1016/j.neuroimage.2013.12.015.

Chicago

Mark S. Cohen, Virginia S. Haynes, Wesley T. Kerr, Ariana Anderson, Ying Nian Wu, Alan L. Yuille, Jesse A. Brown, Jianwen Xie, and Pamela K. Douglas. 2013. “Non-Negative Matrix Factorization of Multimodal MRI, FMRI and Phenotypic Data Reveals Differential Changes in Default Mode Subnetworks in ADHD.” NeuroImage, April. doi:10.1016/j.neuroimage.2013.12.015.