Liang, Y., Gu, X., Shi, Y., Fang, Y., Wu, Z., & Li, X. (2025). Electrophysiological biomarkers based on CISANET characterize illness severity and suicidal ideation among patients with major depressive disorder. Medical & Biological Engineering & Computing, 63(6), 1731. https://doi.org/10.1007/s11517-024-03279-6
Chicago Style (17th ed.) CitationLiang, Yuchen, Xuelin Gu, Yifan Shi, Yiru Fang, Zhiguo Wu, and Xiaoou Li. "Electrophysiological Biomarkers Based on CISANET Characterize Illness Severity and Suicidal Ideation Among Patients with Major Depressive Disorder." Medical & Biological Engineering & Computing 63, no. 6 (2025): 1731. https://doi.org/10.1007/s11517-024-03279-6.
MLA (9th ed.) CitationLiang, Yuchen, et al. "Electrophysiological Biomarkers Based on CISANET Characterize Illness Severity and Suicidal Ideation Among Patients with Major Depressive Disorder." Medical & Biological Engineering & Computing, vol. 63, no. 6, 2025, p. 1731, https://doi.org/10.1007/s11517-024-03279-6.