T99

RESTING-STATE EEG SIGNATURES OF SUICIDAL IDEATION SEVERITY AND INTENSITY IN TREATMENT-RESISTANT DEPRESSION: PRELIMINARY BASELINE DATA FROM TWO ONGOING CLINICAL TRIALS

Gia Han Le — Sabrina Wong2, Orly Lipsitz2, Danica Johnson2, Noah Chisamore2, Erica Kaczmarek2, Lee Phan3, Simryn Selby3, Zoe Doyle3, Benjamin Schwartzmann4, Faranak Farzan4, Rodrigo Mansur2, Joshua Rosenblat2, Roger McIntyre2 1Institute of Medical Science, University of Toronto, 2University of Toronto, 3University Health Network, 4Simon Fraser University

Background

Suicidal ideation (SI) is prevalent among persons with treatmentresistant depression (TRD) and is associated with increased all-cause mortality risk. Identifying scalable neurophysiologic correlates of SI is important for improving risk characterization and for identifying treatments that normalize suicide-relevant circuitry. Resting-state electroencephalography (EEG) spectral power is a scalable index of circuit dynamics that may differentiate graded SI burden.

Methods

Baseline EEG recordings from two ongoing phase II TRD trials were analyzed, integrated intravenous racemic ketamine plus internet-based cognitive behavioral therapy (KET-CBT, NCT06480500; n = 30) and psilocybin-assisted psychotherapy dose comparison (PSI-1V2, NCT06341426; n = 29). Analyses were conducted within each trial and in a pooled baseline dataset. Resting eyes-open (EO) EEG was prespecified as the primary condition to standardize wakeful vigilance, and eyes-closed (EC) EEG was analyzed as a sensitivity condition to evaluate state dependence. Morlet time-frequency decomposition yielded log10 band power in delta, theta, alpha, beta, and gamma bands, summarized across whole-scalp and a priori regions of interest. SI burden was indexed using the ColumbiaSuicide Severity Rating Scale (C-SSRS) SI severity score modeled as an ordinal predictor. EO-only and EC-only models tested monotonic severity-power trends using robust standard errors, adjusting for age, sex, depressive symptom burden, number of comorbid diagnoses, and total exposure to stimulants, benzodiazepines, serotonergic psychedelics, and glutamatergic agents. Paired EO+EC models tested severity-by-eye-state interactions with participant-clustered standard errors. Within each severity level, C-SSRS intensity (1-25) was modeled with severity-by-intensity effects and eye-state dependence. False discovery rate (FDR) q-values are reported.

Results

In the pooled dataset, eleven participants reported no SI and among those with nonzero severity, C-SSRS severity spanned 1-5 (mean ± standard deviation; 1.83 ± 1.02) and intensity spanned 7-18 (13.10 ± 2.77). SI severity is positively associated with EO alpha power across global and regional summaries (whole-brain: β = 0.169, p < 0.001, q = 0.002; frontal: β = 0.134, p = 0.02, q = 0.008; central: β = 0.163, p < 0.001, q = 0.004; posterior: β = 0.196, p < 0.001, q = 0.003), as well as EO posterior beta power (β = 0.108, p < 0.001, q < 0.001). Severity effects differed by eye-state, with significant severity-by-eye-state interactions most prominent in whole-brain and frontal theta and posterior beta. Trialstratified analyses were directionally compatible with pooled estimates, including an EO posterior beta association in KET-CBT (p = 0.002, q < 0.05) and an EO posterior delta association in PSI-1V2 (p = 0.001, q < 0.05). Within-severity analyses identified a robust intensity effect in KET-CBT at severity level 2, where higher intensity predicted lower EC posterior beta power (p < 0.001, q > 0.55).

Conclusion

In TRD, baseline SI burden is associated with graded differences in resting EEG spectral power, most consistently in EO alpha and beta features, with robust eye-statedependent modulation in theta and beta bands. Severity and within-severity intensity exhibited partially distinct EEG associations, supporting longitudinal evaluation of whether treatment-related changes in EO spectral signatures track SI improvement and enhance SI stratification beyond symptom ratings.