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

Fleur M Howells

Showing results (41-50 of 62) with videos related to

Pageof 7
Sort By:
Neuropsychopharmacology : Official Publication of the American College of Neuropsychopharmacology|September 19, 2019
Correction: Widespread white matter microstructural abnormalities in bipolar disorder: evidence from mega- and meta-analyses across 3033 individualsPauline Favre, Melissa Pauling, Jacques Stout, et al.
Bipolar Disorders|December 11, 2021
Diagnosis of bipolar disorders and body mass index predict clustering based on similarities in cortical thickness-ENIGMA study in 2436 individualsSean R McWhinney, Christoph Abé, Martin Alda, et al.
Psychological Medicine|February 27, 2023
Mega-analysis of association between obesity and cortical morphology in bipolar disorders: ENIGMA study in 2832 participantsSean R McWhinney, Christoph Abé, Martin Alda, et al.
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.
Molecular Psychiatry|November 5, 2024
White matter microstructure in obesity and bipolar disorders: an ENIGMA bipolar disorder working group study in 2186 individualsLorielle M F Dietze, Sean R McWhinney, Pauline Favre, 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.
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|January 15, 2026
Psychotropic medications and their interactions with subcortical brain volume in bipolar disorder: An ENIGMA mega-analysisSinead King, John O'Connor, Emma Corley, et al.
Pageof 7

Showing results (41-50 of 62) with videos related to

Sort By:
Pageof 7
Neuropsychopharmacology : Official Publication of the American College of Neuropsychopharmacology|September 19, 2019
Correction: Widespread white matter microstructural abnormalities in bipolar disorder: evidence from mega- and meta-analyses across 3033 individualsPauline Favre, Melissa Pauling, Jacques Stout, et al.
Bipolar Disorders|December 11, 2021
Diagnosis of bipolar disorders and body mass index predict clustering based on similarities in cortical thickness-ENIGMA study in 2436 individualsSean R McWhinney, Christoph Abé, Martin Alda, et al.
Psychological Medicine|February 27, 2023
Mega-analysis of association between obesity and cortical morphology in bipolar disorders: ENIGMA study in 2832 participantsSean R McWhinney, Christoph Abé, Martin Alda, et al.
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.
Molecular Psychiatry|November 5, 2024
White matter microstructure in obesity and bipolar disorders: an ENIGMA bipolar disorder working group study in 2186 individualsLorielle M F Dietze, Sean R McWhinney, Pauline Favre, 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.
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|January 15, 2026
Psychotropic medications and their interactions with subcortical brain volume in bipolar disorder: An ENIGMA mega-analysisSinead King, John O'Connor, Emma Corley, et al.
Pageof 7