Paul M. Thompson
Affiliations: | 1998-2013 | University of California, Los Angeles, Los Angeles, CA | |
2013- | USC Keck School of Medicine, Los Angeles, CA, United States |
Area:
neuroimgagingWebsite:
http://www.loni.ucla.edu/~thompson/thompson.htmlGoogle:
"Paul Thompson"Mean distance: 16.24 (cluster 51) | S | N | B | C | P |
Children
Sign in to add traineeNeelroop Parikshak | research assistant | 2007-2008 | UCLA |
Brandalyn C Riedel | grad student | 2015- | USC |
Ming-Chang Chiang | grad student | 2008 | UCLA |
Dong-Eun Lee | grad student | 2009 | UCLA |
Jonathan H. Morra | grad student | 2009 | UCLA |
Caroline C. Brun | grad student | 2005-2009 | UCLA |
Lara C. Foland-Ross | grad student | 2010 | UCLA |
April J. Ho | grad student | 2010 | UCLA |
Jason L. Stein | grad student | 2011 | UCLA |
Liang Zhan | grad student | 2007-2011 | UCLA |
Neda Jahanshad | grad student | 2012 | UCLA |
Omid Kohannim | grad student | 2012 | UCLA |
Emily L. Dennis | grad student | 2013 | UCLA |
Boris A. Gutman | grad student | 2013 | UCLA |
Derrek P. Hibar | grad student | 2013 | UCLA |
Gautam Prasad | grad student | 2013 | UCLA |
Yan Jin | grad student | 2014 | UCLA |
Florence Roussotte | post-doc | 2011- | University of California, Los Angeles School of Medicine |
Liang Zhan | post-doc | 2011- | UCLA |
Meredith N. Braskie | post-doc | 2009-2011 | UCLA |
Lauren E. Salminen | post-doc | 2016-2019 | USC |
Collaborators
Sign in to add collaboratorChristian Gaser | collaborator | UCLA | ||
Peter V. Kochunov | collaborator | (BME Tree) | ||
Dan J Stein | collaborator | |||
Daniel J. Valentino | collaborator | 2000-2007 | UCLA | |
(Laboratory of Neuroimaging and Center For Computational Biology) |
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. |
Lorenz A, Sathe A, Zaras D, et al. (2025) The effect of Alzheimer's disease genetic factors on limbic white matter microstructure. Alzheimer's & Dementia : the Journal of the Alzheimer's Association. 21: e70130 |
Kennedy E, Vadlamani S, Lindsey HM, et al. (2025) Linking Symptom Inventories Using Semantic Textual Similarity. Journal of Neurotrauma |
Kochunov P, Adhikari BM, Keator D, et al. (2025) Functional vs Structural Cortical Deficit Pattern Biomarkers for Major Depressive Disorder. Jama Psychiatry |
Blake KV, Hilbert K, Ipser JC, et al. (2025) Brain Aging in Specific Phobia: An ENIGMA-Anxiety Mega-Analysis. Medrxiv : the Preprint Server For Health Sciences |
Harnett NG, Joshi S, Kumar P, et al. (2025) Structural covariance of early visual cortex is negatively associated with PTSD symptoms: A Mega-Analysis from the ENIGMA PTSD workgroup. Medrxiv : the Preprint Server For Health Sciences |
Chandio BQ, Villalon-Reina JE, Nir TM, et al. (2025) Bundle Analytics based Data Harmonization for Multi-Site Diffusion MRI Tractometry. Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference. 2024: 1-7 |
Feng Y, Chandio BQ, Villalon-Reina JE, et al. (2025) Deep Normative Tractometry for Identifying Joint White Matter Macro- and Micro-structural Abnormalities in Alzheimer's Disease. Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference. 2024: 1-7 |
Omlor W, Rabe F, Fuchs S, et al. (2025) Estimating Multimodal Structural Brain Variability in Schizophrenia Spectrum Disorders: A Worldwide ENIGMA Study. The American Journal of Psychiatry. appiajp20230806 |
van de Mortel LA, Bruin WB, Alonso P, et al. (2025) Development and validation of a machine learning model to predict cognitive behavioral therapy outcome in obsessive-compulsive disorder using clinical and neuroimaging data. Medrxiv : the Preprint Server For Health Sciences |
Goya-Maldonado R, Erwin-Grabner T, Zeng LL, et al. (2025) Classification of Major Depressive Disorder Using Vertex-Wise Brain Sulcal Depth, Curvature, and Thickness with a Deep and a Shallow Learning Model. Arxiv |