APA (7th ed.) Citation

T, P., A, C., J, Y., Y, R., Y, L., & J, F. (2026). Building an auxiliary diagnostic and treatment efficacy prediction model for adolescent depression using machine learning based on electroencephalography technology. Frontiers in human neuroscience, 20, 1774822. https://doi.org/10.3389/fnhum.2026.1774822

Chicago Style (17th ed.) Citation

T, Peng, Chi A, Yang J, Ren Y, Li Y, and Fan J. "Building an Auxiliary Diagnostic and Treatment Efficacy Prediction Model for Adolescent Depression Using Machine Learning Based on Electroencephalography Technology." Frontiers in Human Neuroscience 20 (2026): 1774822. https://doi.org/10.3389/fnhum.2026.1774822.

MLA (9th ed.) Citation

T, Peng, et al. "Building an Auxiliary Diagnostic and Treatment Efficacy Prediction Model for Adolescent Depression Using Machine Learning Based on Electroencephalography Technology." Frontiers in Human Neuroscience, vol. 20, 2026, p. 1774822, https://doi.org/10.3389/fnhum.2026.1774822.