Cite
Comparing data-driven physiological denoising approaches for resting-state fMRI: implications for the study of aging
MLA
Ali M. Golestani, and J. Jean Chen. “Comparing Data-Driven Physiological Denoising Approaches for Resting-State FMRI: Implications for the Study of Aging.” Frontiers in Neuroscience, vol. 18, Feb. 2024. EBSCOhost, https://doi.org/10.3389/fnins.2024.1223230.
APA
Ali M. Golestani, & J. Jean Chen. (2024). Comparing data-driven physiological denoising approaches for resting-state fMRI: implications for the study of aging. Frontiers in Neuroscience, 18. https://doi.org/10.3389/fnins.2024.1223230
Chicago
Ali M. Golestani, and J. Jean Chen. 2024. “Comparing Data-Driven Physiological Denoising Approaches for Resting-State FMRI: Implications for the Study of Aging.” Frontiers in Neuroscience 18 (February). doi:10.3389/fnins.2024.1223230.