Cite
Pharmacologically informed machine learning approach for identifying pathological states of unconsciousness via resting-state fMRI.
MLA
Campbell, Justin M., et al. “Pharmacologically Informed Machine Learning Approach for Identifying Pathological States of Unconsciousness via Resting-State FMRI.” NeuroImage, vol. 206, Feb. 2020, p. N.PAG. EBSCOhost, https://doi.org/10.1016/j.neuroimage.2019.116316.
APA
Campbell, J. M., Huang, Z., Zhang, J., Wu, X., Qin, P., Northoff, G., Mashour, G. A., & Hudetz, A. G. (2020). Pharmacologically informed machine learning approach for identifying pathological states of unconsciousness via resting-state fMRI. NeuroImage, 206, N.PAG. https://doi.org/10.1016/j.neuroimage.2019.116316
Chicago
Campbell, Justin M., Zirui Huang, Jun Zhang, Xuehai Wu, Pengmin Qin, Georg Northoff, George A. Mashour, and Anthony G. Hudetz. 2020. “Pharmacologically Informed Machine Learning Approach for Identifying Pathological States of Unconsciousness via Resting-State FMRI.” NeuroImage 206 (February): N.PAG. doi:10.1016/j.neuroimage.2019.116316.