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M Fullerton

Showing results (261-270 of 319) with videos related to

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Journal of Affective Disorders|December 4, 2017
Gene set enrichment analysis and expression pattern exploration implicate an involvement of neurodevelopmental processes in bipolar disorderThomas W Mühleisen, Céline S Reinbold, Andreas J Forstner, et al.
Biological Psychiatry|February 20, 2026
The link between weight gain and hippocampal atrophy in bipolar disorder - A longitudinal investigation in 934 participantsJulia Fraiha-Pegado, Sean R McWhinney, Martin Alda, et al.
Human Genomics|April 29, 2024
Critical assessment of variant prioritization methods for rare disease diagnosis within the rare genomes projectSarah L Stenton, Melanie C O'Leary, Gabrielle Lemire, et al.
Medrxiv : the Preprint Server for Health Sciences|August 14, 2023
Critical assessment of variant prioritization methods for rare disease diagnosis within the Rare Genomes ProjectSarah L Stenton, Melanie O'Leary, Gabrielle Lemire, et al.
Biological Psychiatry|November 23, 2021
Longitudinal Structural Brain Changes in Bipolar Disorder: A Multicenter Neuroimaging Study of 1232 Individuals by the ENIGMA Bipolar Disorder Working GroupChristoph Abé, Christopher R K Ching, Benny Liberg, et al.
American Journal of Human Genetics|May 17, 2016
Clinical Sequencing Exploratory Research Consortium: Accelerating Evidence-Based Practice of Genomic MedicineRobert C Green, Katrina A B Goddard, Gail P Jarvik, et al.
Neuroimage|May 30, 2020
Increased power by harmonizing structural MRI site differences with the ComBat batch adjustment method in ENIGMAJoaquim Radua, Eduard Vieta, Russell Shinohara, 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.
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.
Pageof 32

Showing results (261-270 of 319) with videos related to

Sort By:
Pageof 32
Journal of Affective Disorders|December 4, 2017
Gene set enrichment analysis and expression pattern exploration implicate an involvement of neurodevelopmental processes in bipolar disorderThomas W Mühleisen, Céline S Reinbold, Andreas J Forstner, et al.
Biological Psychiatry|February 20, 2026
The link between weight gain and hippocampal atrophy in bipolar disorder - A longitudinal investigation in 934 participantsJulia Fraiha-Pegado, Sean R McWhinney, Martin Alda, et al.
Human Genomics|April 29, 2024
Critical assessment of variant prioritization methods for rare disease diagnosis within the rare genomes projectSarah L Stenton, Melanie C O'Leary, Gabrielle Lemire, et al.
Medrxiv : the Preprint Server for Health Sciences|August 14, 2023
Critical assessment of variant prioritization methods for rare disease diagnosis within the Rare Genomes ProjectSarah L Stenton, Melanie O'Leary, Gabrielle Lemire, et al.
Biological Psychiatry|November 23, 2021
Longitudinal Structural Brain Changes in Bipolar Disorder: A Multicenter Neuroimaging Study of 1232 Individuals by the ENIGMA Bipolar Disorder Working GroupChristoph Abé, Christopher R K Ching, Benny Liberg, et al.
American Journal of Human Genetics|May 17, 2016
Clinical Sequencing Exploratory Research Consortium: Accelerating Evidence-Based Practice of Genomic MedicineRobert C Green, Katrina A B Goddard, Gail P Jarvik, et al.
Neuroimage|May 30, 2020
Increased power by harmonizing structural MRI site differences with the ComBat batch adjustment method in ENIGMAJoaquim Radua, Eduard Vieta, Russell Shinohara, 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.
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.
Pageof 32