Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Tilo Kircher

Showing results (491-500 of 531) with videos related to

Pageof 54
Sort By:
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|September 7, 2022
Structural brain alterations associated with suicidal thoughts and behaviors in young people: results from 21 international studies from the ENIGMA Suicidal Thoughts and Behaviours consortiumLaura S van Velzen, Maria R Dauvermann, Lejla Colic, 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.
The American Journal of Psychiatry|June 11, 2024
Cortical and Subcortical Brain Alterations in Specific Phobia and Its Animal and Blood-Injection-Injury Subtypes: A Mega-Analysis From the ENIGMA Anxiety Working GroupKevin Hilbert, Ole Jonas Boeken, Till Langhammer, et al.
Human Brain Mapping|June 3, 2024
Principal component analysis as an efficient method for capturing multivariate brain signatures of complex disorders-ENIGMA study in people with bipolar disorders and obesitySean R McWhinney, Jaroslav Hlinka, Eduard Bakstein, 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.
Nature Communications|July 16, 2024
Neurostructural subgroup in 4291 individuals with schizophrenia identified using the subtype and stage inference algorithmYuchao Jiang, Cheng Luo, Jijun Wang, et al.
Journal of Affective Disorders|January 26, 2026
Brain aging in bipolar disorder using a neuroimaging and machine learning-derived metric: Findings from the ENIGMA BD Working GroupHui Xin Ng, Christoph Abé, Martin Alda, et al.
Neuropsychology|April 3, 2023
Concurrent validity and reliability of suicide risk assessment instruments: A meta-analysis of 20 instruments across 27 international cohortsAdrian I Campos, Laura S Van Velzen, Dick J Veltman, et al.
Pageof 54

Showing results (491-500 of 531) with videos related to

Sort By:
Pageof 54
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|September 7, 2022
Structural brain alterations associated with suicidal thoughts and behaviors in young people: results from 21 international studies from the ENIGMA Suicidal Thoughts and Behaviours consortiumLaura S van Velzen, Maria R Dauvermann, Lejla Colic, 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.
The American Journal of Psychiatry|June 11, 2024
Cortical and Subcortical Brain Alterations in Specific Phobia and Its Animal and Blood-Injection-Injury Subtypes: A Mega-Analysis From the ENIGMA Anxiety Working GroupKevin Hilbert, Ole Jonas Boeken, Till Langhammer, et al.
Human Brain Mapping|June 3, 2024
Principal component analysis as an efficient method for capturing multivariate brain signatures of complex disorders-ENIGMA study in people with bipolar disorders and obesitySean R McWhinney, Jaroslav Hlinka, Eduard Bakstein, 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.
Nature Communications|July 16, 2024
Neurostructural subgroup in 4291 individuals with schizophrenia identified using the subtype and stage inference algorithmYuchao Jiang, Cheng Luo, Jijun Wang, et al.
Journal of Affective Disorders|January 26, 2026
Brain aging in bipolar disorder using a neuroimaging and machine learning-derived metric: Findings from the ENIGMA BD Working GroupHui Xin Ng, Christoph Abé, Martin Alda, et al.
Neuropsychology|April 3, 2023
Concurrent validity and reliability of suicide risk assessment instruments: A meta-analysis of 20 instruments across 27 international cohortsAdrian I Campos, Laura S Van Velzen, Dick J Veltman, et al.
Pageof 54