APA (7th ed.) Citation

G, V., Y, J., LS, M., X, X., BN, D., JW, M., . . . P, B. (2026). Machine learning framework for depression subtype grouping: Integrating high-resolution imaging and clinical symptom analysis via correlation and clustering. Frontiers in psychiatry, 17, 1747824. https://doi.org/10.3389/fpsyt.2026.1747824

Chicago Style (17th ed.) Citation

G, Verma, Jacob Y, Morris LS, Xing X, Delman BN, Murrough JW, Lin AL, and Balchandani P. "Machine Learning Framework for Depression Subtype Grouping: Integrating High-resolution Imaging and Clinical Symptom Analysis via Correlation and Clustering." Frontiers in Psychiatry 17 (2026): 1747824. https://doi.org/10.3389/fpsyt.2026.1747824.

MLA (9th ed.) Citation

G, Verma, et al. "Machine Learning Framework for Depression Subtype Grouping: Integrating High-resolution Imaging and Clinical Symptom Analysis via Correlation and Clustering." Frontiers in Psychiatry, vol. 17, 2026, p. 1747824, https://doi.org/10.3389/fpsyt.2026.1747824.