Disrupted effective connectivity of the default, salience and dorsal attention networks in major depressive disorder: a study using spectral dynamic causal modelling of resting-state fMRI

MLA

Yun Wang, et al. “Disrupted Effective Connectivity of the Default, Salience and Dorsal Attention Networks in Major Depressive Disorder: A Study Using Spectral Dynamic Causal Modelling of Resting-State FMRI.” Journal of Psychiatry and Neuroscience, vol. 47, Dec. 2022, pp. E421–34. EBSCOhost, https://doi.org/10.1503/jpn.220038.

APA

Yun Wang, Xiongying Chen, Rui Liu, Zhifang Zhang, Jingjing Zhou, Yuan Feng, Peter Zeidman, Gang Wang, & Yuan Zhou. (2022). Disrupted effective connectivity of the default, salience and dorsal attention networks in major depressive disorder: a study using spectral dynamic causal modelling of resting-state fMRI. Journal of Psychiatry and Neuroscience, 47, E421–E434. https://doi.org/10.1503/jpn.220038

Chicago

Yun Wang, Xiongying Chen, Rui Liu, Zhifang Zhang, Jingjing Zhou, Yuan Feng, Peter Zeidman, Gang Wang, and Yuan Zhou. 2022. “Disrupted Effective Connectivity of the Default, Salience and Dorsal Attention Networks in Major Depressive Disorder: A Study Using Spectral Dynamic Causal Modelling of Resting-State FMRI.” Journal of Psychiatry and Neuroscience 47 (December): E421–34. doi:10.1503/jpn.220038.