Performance of Temporal and Spatial Independent Component Analysis in Identifying and Removing Low-Frequency Physiological and Motion Effects in Resting-State fMRI.

MLA

Golestani, Ali M., and J.Jean Chen. “Performance of Temporal and Spatial Independent Component Analysis in Identifying and Removing Low-Frequency Physiological and Motion Effects in Resting-State FMRI.” Frontiers in Neuroscience, vol. 16, June 2022, pp. 1–17. EBSCOhost, https://doi.org/10.3389/fnins.2022.867243.

APA

Golestani, A. M., & Chen, J. J. (2022). Performance of Temporal and Spatial Independent Component Analysis in Identifying and Removing Low-Frequency Physiological and Motion Effects in Resting-State fMRI. Frontiers in Neuroscience, 16, 1–17. https://doi.org/10.3389/fnins.2022.867243

Chicago

Golestani, Ali M., and J. Jean Chen. 2022. “Performance of Temporal and Spatial Independent Component Analysis in Identifying and Removing Low-Frequency Physiological and Motion Effects in Resting-State FMRI.” Frontiers in Neuroscience 16 (June): 1–17. doi:10.3389/fnins.2022.867243.