4 research outputs found

    Predictive Biomarkers of Treatment Response in Major Depressive Disorder

    No full text
    Major depressive disorder (MDD) is a highly prevalent, debilitating disorder with a high rate of treatment resistance. One strategy to improve treatment outcomes is to identify patient-specific, pre-intervention factors that can predict treatment success. Neurophysiological measures such as electroencephalography (EEG), which measures the brain’s electrical activity from sensors on the scalp, offer one promising approach for predicting treatment response for psychiatric illnesses, including MDD. In this study, a secondary data analysis was conducted on the publicly available Two Decades Brainclinics Research Archive for Insights in Neurophysiology (TDBRAIN) database. Logistic regression modeling was used to predict treatment response, defined as at least a 50% improvement on the Beck’s Depression Inventory, in 119 MDD patients receiving repetitive transcranial magnetic stimulation (rTMS). The results show that both age and baseline symptom severity were significant predictors of rTMS treatment response, with older individuals and more severe depression scores associated with decreased odds of a positive treatment response. EEG measures contributed predictive power to these models; however, these improvements in outcome predictability only trended towards statistical significance. These findings provide confirmation of previous demographic and clinical predictors, while pointing to EEG metrics that may provide predictive information in future studies

    Lessons learned by giving amphetamine to antipsychotic-medicated schizophrenia patients

    No full text
    Experimental Medicine studies in psychiatric populations test specific, mechanistic hypotheses related to the biology of mental illness, by combining well-characterized neurobiological probes and laboratory-based measures of behavioral performance and neurobiology. However, scientific inquiry through the acute administration of psychoactive drugs to patients with serious mental illness raises important ethical issues. These issues arise in studies in which the psychostimulant, amphetamine, is used as an Experimental Medicine probe in patients with schizophrenia. In this study, we summarize relevant aspects of our experience with acute, laboratory-based challenges of amphetamine in schizophrenia patients. Schizophrenia patients participated in one or more Experimental Medicine studies involving limited doses of amphetamine with clinical monitoring, over a 4-year period. Acute (within hours of ingestion; collective n = 53), subacute (three active doses over 4 weeks; n = 28), and long-term (mean = 17 months after ingestion; n = 19) effects of amphetamine ingestion were assessed. In antipsychotic (AP)-medicated schizophrenia patients, amphetamine was associated with no detrimental subjective, autonomic, or functional changes. Symptoms assessed acutely, subacutely, or long term were either unchanged or diminished. No adverse acute, subacute, or long-term consequences from the Experimental Medicine use of amphetamine in antipsychotic-medicated schizophrenia patients were detected. These findings do not address the safety or effectiveness of the use of amphetamine in unmedicated patients, or as an adjunctive treatment for schizophrenia. Indeed, it is important to distinguish evidence-based risks of symptom exacerbation in an Experimental Medicine setting vs. risks associated with long-term, daily clinical use or even misuse of amphetamine
    corecore