The Comparative Effectiveness of EEG Biomarkers in Antidepressant Response and Illness Prediction in Major Depressive Disorder

Background: There is growing evidence that individual EEG differences may aid in classifying patients with major depressive disorder (MDD) and also help predict clinical response to antidepressant treatment. This study aims to compare the effectiveness of EEG frequency band power, alpha asymmetry and prefrontal theta cordance towards escitalopram response prediction and MDD diagnosis, in a multi-site initiative. Methods: Resting EEG (eyes open and closed) was recorded from 64 electrodes in 44 depressed patients and 20 healthy controls at baseline, 2 weeks post-treatment and 8 weeks post-treatment. Clinical response was measured as change from baseline MADRS of 50% or more. EEG measures were analyzed (1) at baseline (2) at 2 weeks post-treatment and (3) as an ‘‘early change” variable defined as change in EEG from baseline to 2 weeks post-treatment. Results: At baseline, responders exhibited greater absolute alpha power in the left hemisphere versus the right while non-responders showed the opposite. Responders further exhibited a cortical asymmetry of greater right relative to left activity in parietal areas. Groups also differed in baseline relative delta power with responders showing greater power in the right hemisphere versus the left while non-responders showed the opposite. At 2 weeks post-treatment, responders exhibited greater absolute beta power in the left hemisphere relative to right and the opposite was noted for non-responders. The opposite pattern was noted for absolute and relative delta power at 2 weeks post-treatment. Responders exhibited early reduction in relative alpha power and early increments in relative theta power. Non-responders showed a significant early increase in prefrontal theta cordance. Absolute delta power helped distinguish MDD patients from healthy controls. Conclusions: Hemispheric asymmetries in the alpha and delta bands at pre-treatment baseline and at 2 weeks post-treatment have moderate to moderately strong predictive utility towards antidepressant treatment response. These findings have significant potential for improving clinical practice in psychiatry by eventually guiding clinical choice of treatments. This would greatly benefit patients awaiting relief from depressive symptoms as treatment optimization would help overcome problems associated with delayed recovery. Our results also indicate that resting EEG activity may have clinical utility in predicting MDD diagnosis.

The Relationship Between Self-Awareness and Psychotic-Like Experiences

The psychosis phenotype is thought to exist on a continuum, such that the same symptoms experienced by individuals diagnosed with psychotic disorders can also manifest in the general population to a less severe degree. The subclinical psychotic-like experiences reported by healthy individuals share a number of risk factors with psychotic disorders and confer greater risk of developing a psychotic disorder. Thus, healthy individuals with psychotic-like experiences comprise a valid population in which to study the underlying mechanisms of clinically significant psychotic symptoms. In this thesis, we aimed to further our understanding of psychotic-like experiences and the individuals who report them. We explored the relationships between tasks measuring different aspects of self-awareness and self-reported psychotic-like experiences using data obtained from 30 university students. We found that greater sensitivity to the difference between one’s own voice and another person’s voice predicted fewer symptoms of persecutory ideation. Additionally, we found that greater tendency to misattribute one’s own voice to an external source predicted greater symptoms of persecutory ideation.