Showing results (31-40 of 73) with videos related to

Sort By:
Pageof 8
Therapeutic Advances in Psychopharmacology|May 23, 2020
Ketamine as an antidepressant: overview of its mechanisms of action and potential predictive biomarkersDmitriy Matveychuk, Rejish K Thomas, Jennifer Swainson, et al.
BMC Psychiatry|November 9, 2016
Cross-sectional survey evaluating Text4Mood: mobile health program to reduce psychological treatment gap in mental healthcare in Alberta through daily supportive text messagesVincent I O Agyapong, Kelly Mrklas, Michal Juhás, et al.
Frontiers in Psychiatry|December 7, 2017
Decreased Left Putamen and Thalamus Volume Correlates with Delusions in First-Episode Schizophrenia PatientsXiaojun Huang, Weidan Pu, Xinmin Li, et al.
Archives of General Psychiatry|February 6, 2008
Glutamate and the neural basis of the subjective effects of ketamine: a pharmaco-magnetic resonance imaging studyJ F William Deakin, Jane Lees, Shane McKie, et al.
Frontiers in Psychiatry|December 7, 2017
Altered Brain Functional Connectivity in Betel Quid-Dependent ChewersXiaojun Huang, Weidan Pu, Haihong Liu, et al.
Neuroimage. Clinical|August 24, 2016
Accuracy of automated classification of major depressive disorder as a function of symptom severityRajamannar Ramasubbu, Matthew R G Brown, Filmeno Cortese, et al.
Frontiers in Psychiatry|November 15, 2018
Multidimensional Connectomics and Treatment-Resistant Schizophrenia: Linking Phenotypic Circuits to Targeted TherapeuticsMary-Anne B MacKay, John W Paylor, James T F Wong, et al.
Canadian Journal of Psychiatry. Revue Canadienne De Psychiatrie|August 11, 2021
Using Machine Learning to Predict Remission in Patients With Major Depressive Disorder Treated With DesvenlafaxineJames R A Benoit, Serdar M Dursun, Russell Greiner, et al.
BMC Psychiatry|August 4, 2017
Randomized controlled pilot trial of supportive text messages for patients with depressionVincent I O Agyapong, Michal Juhás, Arto Ohinmaa, et al.
Frontiers in Systems Neuroscience|October 13, 2012
ADHD-200 Global Competition: diagnosing ADHD using personal characteristic data can outperform resting state fMRI measurementsMatthew R G Brown, Gagan S Sidhu, Russell Greiner, et al.
Pageof 8