Research

Publications


Recent publications

GWAS-based Machine Learning Approach to Predict Duloxetine Response in Major Depressive Disorder  
Maciukiewicz, M., V.S. Marshe, A.C. Hauschild, J.A. Foster, S. Rotzinger, J.L. Kennedy, S.H. Kennedy, D.J. Mueller, and J. Geraci. (2018). GWAS-based machine learning approach to predict duloxetine response in major depressive disorder. J Psychiatr Res 99:62-68.

Commentary: More Data, More Answers: Picking the Optimal Antidepressant
Parikh, S.V., Kennedy, S.H. (2018). More Data, More Answers: Picking the Optimal Antidepressant. The Lancet. DOI: 10.1097/YCT.0000000000000486.

Presentation and Neurobiology of Anhedonia in Mood Disorders: Commonalities and Distinctions
Rizvi S.J., Lambert C., Kennedy S. Presentation and Neurobiology of Anhedonia in Mood Disorders: Commonalities and Distinctions. Curr Psychiatry Rep. 20(2):13. doi: 10.1007/s11920-018-0877-z.

Improvements in Health-Related Quality of Life with Electroconvulsive Therapy: A Meta-Analysis
Giacobbe, P., Rakita, U., Penner-Geoke, K., Feffer, K., Flint, A.J., Kennedy, S.H., Downar, J. (2018). Improvements in Health-Related Quality of Life with Electroconvulsive Therapy: A Meta-Analysis. The Journal of ECT. DOI: 10.1097/YCT.0000000000000486.

Fatigue in Patients with Major Depressive Disorder: Prevalence, Burden and Pharmacological Approaches to Management
Ghanean, H., Ceniti, A.K., Kennedy S.H. (2018). Fatigue in Patients with Major Depressive Disorder: Prevalence, Burden and Pharmacological Approaches to Management. CNS Drugs. DOI: 10.1007/s40263-018-0490-z.