Showing results (41-50 of 95) with videos related to

Sort By:
Pageof 10
Brain Imaging and Behavior|November 7, 2019
Supervised machine learning for diagnostic classification from large-scale neuroimaging datasetsPradyumna Lanka, D Rangaprakash, Michael N Dretsch, et al.
Human Brain Mapping|October 24, 2017
Identifying disease foci from static and dynamic effective connectivity networks: Illustration in soldiers with traumaD Rangaprakash, Michael N Dretsch, Archana Venkataraman, et al.
Data in Brief|January 11, 2019
Identifying neuropsychiatric disorders using unsupervised clustering methods: Data and codeXinyu Zhao, D Rangaprakash, Thomas S Denney, et al.
Military Psychology : the Official Journal of the Division of Military Psychology, American Psychological Association|June 24, 2024
Longitudinal measurement invariance and growth curve modeling of psychological resilience across the deployment cycleOscar A Cabrera, Benjamin J Trachik, Michelle L Ganulin, et al.
Military Medicine|April 3, 2014
Effects of omega-3 fatty acid supplementation on neurocognitive functioning and mood in deployed U.S. soldiers: a pilot studyMichael N Dretsch, Daniel Johnston, Ryan S Bradley, et al.
Brain and Behavior|September 6, 2012
Mood symptoms contribute to working memory decrement in active-duty soldiers being treated for posttraumatic stress disorderMichael N Dretsch, Kenneth J Thiel, Jeremy R Athy, et al.
Frontiers in Applied Mathematics and Statistics|November 6, 2018
Investigating the Correspondence of Clinical Diagnostic Grouping With Underlying Neurobiological and Phenotypic Clusters Using Unsupervised Machine LearningXinyu Zhao, D Rangaprakash, Bowen Yuan, et al.
Pageof 10