APA (7th ed.) Citation

Sendi, M. S. E., Zendehrouh, E., Sui, J., Fu, Z., Zhi, D., Lv, L., . . . Calhoun, V. D. (2021). Abnormal Dynamic Functional Network Connectivity Estimated from Default Mode Network Predicts Symptom Severity in Major Depressive Disorder. Brain connectivity, 11(10), 838. https://doi.org/10.1089/brain.2020.0748

Chicago Style (17th ed.) Citation

Sendi, Mohammad S E., et al. "Abnormal Dynamic Functional Network Connectivity Estimated from Default Mode Network Predicts Symptom Severity in Major Depressive Disorder." Brain Connectivity 11, no. 10 (2021): 838. https://doi.org/10.1089/brain.2020.0748.

MLA (9th ed.) Citation

Sendi, Mohammad S E., et al. "Abnormal Dynamic Functional Network Connectivity Estimated from Default Mode Network Predicts Symptom Severity in Major Depressive Disorder." Brain Connectivity, vol. 11, no. 10, 2021, p. 838, https://doi.org/10.1089/brain.2020.0748.