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Maria J Portella

Showing results (91-100 of 105) with videos related to

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Translational Psychiatry|December 9, 2020
Brain structural correlates of insomnia severity in 1053 individuals with major depressive disorder: results from the ENIGMA MDD Working GroupJeanne Leerssen, Tessa F Blanken, Elena Pozzi, et al.
Scientific Reports|January 11, 2024
Multi-site benchmark classification of major depressive disorder using machine learning on cortical and subcortical measuresVladimir Belov, Tracy Erwin-Grabner, Moji Aghajani, et al.
Molecular Psychiatry|September 1, 2019
White matter disturbances in major depressive disorder: a coordinated analysis across 20 international cohorts in the ENIGMA MDD working groupLaura S van Velzen, Sinead Kelly, Dmitry Isaev, et al.
The American Journal of Psychiatry|July 30, 2019
No Alterations of Brain Structural Asymmetry in Major Depressive Disorder: An ENIGMA Consortium AnalysisCarolien G F de Kovel, Lyubomir Aftanas, André Aleman, et al.
Translational Psychiatry|May 31, 2020
ENIGMA MDD: seven years of global neuroimaging studies of major depression through worldwide data sharingLianne Schmaal, Elena Pozzi, Tiffany C Ho, et al.
Molecular Psychiatry|October 3, 2025
Classification of major depressive disorder using vertex-wise brain sulcal depth, curvature, and thickness with a deep and a shallow learning modelRoberto Goya-Maldonado, Tracy Erwin-Grabner, Ling-Li Zeng, et al.
Arxiv|February 20, 2025
Classification of Major Depressive Disorder Using Vertex-Wise Brain Sulcal Depth, Curvature, and Thickness with a Deep and a Shallow Learning ModelRoberto Goya-Maldonado, Tracy Erwin-Grabner, Ling-Li Zeng, et al.
Translational Psychiatry|June 23, 2026
Decomposing neuroanatomical heterogeneity in depression: insights from an ENIGMA major depressive disorder working group study in 5146 individualsLukas Sempach, Sarah Ulrich, Stéphanie E E C Bauduin, et al.
Molecular Psychiatry|November 3, 2025
Regional brain morphology and current antidepressant use: findings from 32 international cohorts from the ENIGMA major depressive disorder working groupChaira Serrarens, Yara J Toenders, Elena Pozzi, et al.
Biorxiv : the Preprint Server for Biology|December 11, 2023
Normative Modeling of Brain Morphometry Across the Lifespan Using CentileBrain: Algorithm Benchmarking and Model OptimizationRuiyang Ge, Yuetong Yu, Yi Xuan Qi, et al.
Pageof 11

Showing results (91-100 of 105) with videos related to

Sort By:
Pageof 11
Translational Psychiatry|December 9, 2020
Brain structural correlates of insomnia severity in 1053 individuals with major depressive disorder: results from the ENIGMA MDD Working GroupJeanne Leerssen, Tessa F Blanken, Elena Pozzi, et al.
Scientific Reports|January 11, 2024
Multi-site benchmark classification of major depressive disorder using machine learning on cortical and subcortical measuresVladimir Belov, Tracy Erwin-Grabner, Moji Aghajani, et al.
Molecular Psychiatry|September 1, 2019
White matter disturbances in major depressive disorder: a coordinated analysis across 20 international cohorts in the ENIGMA MDD working groupLaura S van Velzen, Sinead Kelly, Dmitry Isaev, et al.
The American Journal of Psychiatry|July 30, 2019
No Alterations of Brain Structural Asymmetry in Major Depressive Disorder: An ENIGMA Consortium AnalysisCarolien G F de Kovel, Lyubomir Aftanas, André Aleman, et al.
Translational Psychiatry|May 31, 2020
ENIGMA MDD: seven years of global neuroimaging studies of major depression through worldwide data sharingLianne Schmaal, Elena Pozzi, Tiffany C Ho, et al.
Molecular Psychiatry|October 3, 2025
Classification of major depressive disorder using vertex-wise brain sulcal depth, curvature, and thickness with a deep and a shallow learning modelRoberto Goya-Maldonado, Tracy Erwin-Grabner, Ling-Li Zeng, et al.
Arxiv|February 20, 2025
Classification of Major Depressive Disorder Using Vertex-Wise Brain Sulcal Depth, Curvature, and Thickness with a Deep and a Shallow Learning ModelRoberto Goya-Maldonado, Tracy Erwin-Grabner, Ling-Li Zeng, et al.
Translational Psychiatry|June 23, 2026
Decomposing neuroanatomical heterogeneity in depression: insights from an ENIGMA major depressive disorder working group study in 5146 individualsLukas Sempach, Sarah Ulrich, Stéphanie E E C Bauduin, et al.
Molecular Psychiatry|November 3, 2025
Regional brain morphology and current antidepressant use: findings from 32 international cohorts from the ENIGMA major depressive disorder working groupChaira Serrarens, Yara J Toenders, Elena Pozzi, et al.
Biorxiv : the Preprint Server for Biology|December 11, 2023
Normative Modeling of Brain Morphometry Across the Lifespan Using CentileBrain: Algorithm Benchmarking and Model OptimizationRuiyang Ge, Yuetong Yu, Yi Xuan Qi, et al.
Pageof 11