Fig. 4: Limitations and Future Directions in Utilizing Neuronal Oscillations for Suicide Prevention.

Identifying stable oscillatory biomarkers for suicide risk assessment should account for population heterogeneity and investigate the underlying biological associations of abnormal neuronal oscillations. Integrating multimodal neuroimaging and multi-frequency oscillatory data can aid in developing individualized suicide risk assessment systems. Employing multi-strategies neuromodulation technologies to regulate neuronal oscillations to reduce suicide risk level. Collection of longitudinal oscillatory data to establish more reliable biomarkers for early identification and intervention.