Susan Rotzinger
Affiliations: | Cell and Systems Biology | University of Toronto, Toronto, ON, Canada |
Area:
Neuroscience Biology, Endocrinology BiologyGoogle:
"Susan Rotzinger"Mean distance: 106866
BETA: Related publications
See more...
Publications
|
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
| Vaccarino SR, Wang S, Rizvi SJ, et al. (2024) Functional neuroimaging biomarkers of anhedonia response to escitalopram plus adjunct aripiprazole treatment for major depressive disorder. Bjpsych Open. 10: e18 |
| Mazurka R, Cunningham S, Hassel S, et al. (2023) Relation of hippocampal volume and SGK1 gene expression to treatment remission in major depression is moderated by childhood maltreatment: A CAN-BIND-1 report. European Neuropsychopharmacology : the Journal of the European College of Neuropsychopharmacology. 78: 71-80 |
| Rnic K, LeMoult J, Torres IJ, et al. (2023) Predicting recurrence of major depressive episodes using the Depression Implicit Association Test: A Canadian biomarker integration network in depression (CAN-BIND) report. Psychiatry Research. 330: 115606 |
| Phaterpekar T, Nunez JJ, Morton E, et al. (2023) Machine Learning Prediction of Quality of Life Improvement During Antidepressant Treatment of Patients With Major Depressive Disorder: A STAR*D and CAN-BIND-1 Report. The Journal of Clinical Psychiatry. 85 |
| Nunez JJ, Liu YS, Cao B, et al. (2023) Response trajectories during escitalopram treatment of patients with major depressive disorder. Psychiatry Research. 327: 115361 |
| Schwartzmann B, Quilty LC, Dhami P, et al. (2023) Resting-state EEG delta and alpha power predict response to cognitive behavioral therapy in depression: a Canadian biomarker integration network for depression study. Scientific Reports. 13: 8418 |
| Husain MI, Foster JA, Mason BL, et al. (2023) Pro-inflammatory markers are associated with response to sequential pharmacotherapy in major depressive disorder: a CAN-BIND-1 report. Cns Spectrums. 1-28 |
| Fu CHY, Erus G, Fan Y, et al. (2023) AI-based dimensional neuroimaging system for characterizing heterogeneity in brain structure and function in major depressive disorder: COORDINATE-MDD consortium design and rationale. Bmc Psychiatry. 23: 59 |
| Sajjadian M, Uher R, Ho K, et al. (2022) Prediction of depression treatment outcome from multimodal data: a CAN-BIND-1 report. Psychological Medicine. 1-11 |
| Harris JK, Hassel S, Davis AD, et al. (2022) Predicting escitalopram treatment response from pre-treatment and early response resting state fMRI in a multi-site sample: A CAN-BIND-1 report. Neuroimage. Clinical. 35: 103120 |