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

Ulrik F Malt

Showing results (61-70 of 70) with videos related to

Pageof 7
Sort By:
You have reached the last page of results.This site can display upto 70 results.
Molecular Psychiatry|April 17, 2021
Association between body mass index and subcortical brain volumes in bipolar disorders-ENIGMA study in 2735 individualsSean R McWhinney, Christoph Abé, Martin Alda, et al.
Molecular Psychiatry|September 2, 2018
Using structural MRI to identify bipolar disorders - 13 site machine learning study in 3020 individuals from the ENIGMA Bipolar Disorders Working GroupAbraham Nunes, Hugo G Schnack, Christopher R K Ching, et al.
Nature Neuroscience|September 26, 2019
Common brain disorders are associated with heritable patterns of apparent aging of the brainTobias Kaufmann, Dennis van der Meer, Nhat Trung Doan, et al.
Nature Neuroscience|December 19, 2019
Publisher Correction: Common brain disorders are associated with heritable patterns of apparent aging of the brainTobias Kaufmann, Dennis van der Meer, Nhat Trung Doan, et al.
Psychological Assessment|January 23, 2023
Comparison of the accuracy of the 7-item HADS Depression subscale and 14-item total HADS for screening for major depression: A systematic review and individual participant data meta-analysisYin Wu, Brooke Levis, Federico M Daray, 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.
Human Brain Mapping|October 19, 2020
In vivo hippocampal subfield volumes in bipolar disorder-A mega-analysis from The Enhancing Neuro Imaging Genetics through Meta-Analysis Bipolar Disorder Working GroupUnn K Haukvik, Tiril P Gurholt, Stener Nerland, et al.
Molecular Psychiatry|May 20, 2020
Brain aging in major depressive disorder: results from the ENIGMA major depressive disorder working groupLaura K M Han, Richard Dinga, Tim Hahn, et al.
Nature Neuroscience|April 6, 2022
Genetic variants associated with longitudinal changes in brain structure across the lifespanRachel M Brouwer, Marieke Klein, Katrina L Grasby, et al.
Brain Imaging and Behavior|January 9, 2014
The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic dataPaul M Thompson, Jason L Stein, Sarah E Medland, et al.
Pageof 7

Showing results (61-70 of 70) with videos related to

Sort By:
Pageof 7
You have reached the last page of results.This site can display upto 70 results.
Molecular Psychiatry|April 17, 2021
Association between body mass index and subcortical brain volumes in bipolar disorders-ENIGMA study in 2735 individualsSean R McWhinney, Christoph Abé, Martin Alda, et al.
Molecular Psychiatry|September 2, 2018
Using structural MRI to identify bipolar disorders - 13 site machine learning study in 3020 individuals from the ENIGMA Bipolar Disorders Working GroupAbraham Nunes, Hugo G Schnack, Christopher R K Ching, et al.
Nature Neuroscience|September 26, 2019
Common brain disorders are associated with heritable patterns of apparent aging of the brainTobias Kaufmann, Dennis van der Meer, Nhat Trung Doan, et al.
Nature Neuroscience|December 19, 2019
Publisher Correction: Common brain disorders are associated with heritable patterns of apparent aging of the brainTobias Kaufmann, Dennis van der Meer, Nhat Trung Doan, et al.
Psychological Assessment|January 23, 2023
Comparison of the accuracy of the 7-item HADS Depression subscale and 14-item total HADS for screening for major depression: A systematic review and individual participant data meta-analysisYin Wu, Brooke Levis, Federico M Daray, 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.
Human Brain Mapping|October 19, 2020
In vivo hippocampal subfield volumes in bipolar disorder-A mega-analysis from The Enhancing Neuro Imaging Genetics through Meta-Analysis Bipolar Disorder Working GroupUnn K Haukvik, Tiril P Gurholt, Stener Nerland, et al.
Molecular Psychiatry|May 20, 2020
Brain aging in major depressive disorder: results from the ENIGMA major depressive disorder working groupLaura K M Han, Richard Dinga, Tim Hahn, et al.
Nature Neuroscience|April 6, 2022
Genetic variants associated with longitudinal changes in brain structure across the lifespanRachel M Brouwer, Marieke Klein, Katrina L Grasby, et al.
Brain Imaging and Behavior|January 9, 2014
The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic dataPaul M Thompson, Jason L Stein, Sarah E Medland, et al.
Pageof 7