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Edith Pomarol-Clotet

Showing results (201-210 of 223) with videos related to

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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.
Medrxiv : the Preprint Server for Health Sciences|October 24, 2023
Two neurostructural subtypes: results of machine learning on brain images from 4,291 individuals with schizophreniaYuchao Jiang, Cheng Luo, Jijun Wang, 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.
Medrxiv : the Preprint Server for Health Sciences|May 7, 2026
Individualized cortical gradient and network topology reveal symptom-linked disruptions and neurobiological subtypes in schizophreniaBin Wan, Sara Larivière, Clara A Moreau, et al.
Medrxiv : the Preprint Server for Health Sciences|January 2, 2026
Shared genetic architecture of brain age gap across 30 cohorts worldwideVilte Baltramonaityte, Philippe Jawinski, Marlene Staginnus, et al.
Human Brain Mapping|October 7, 2020
Intelligence, educational attainment, and brain structure in those at familial high-risk for schizophrenia or bipolar disorderSonja M C de Zwarte, Rachel M Brouwer, Ingrid Agartz, et al.
Pageof 23

Showing results (201-210 of 223) with videos related to

Sort By:
Pageof 23
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.
Medrxiv : the Preprint Server for Health Sciences|October 24, 2023
Two neurostructural subtypes: results of machine learning on brain images from 4,291 individuals with schizophreniaYuchao Jiang, Cheng Luo, Jijun Wang, 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.
Medrxiv : the Preprint Server for Health Sciences|May 7, 2026
Individualized cortical gradient and network topology reveal symptom-linked disruptions and neurobiological subtypes in schizophreniaBin Wan, Sara Larivière, Clara A Moreau, et al.
Medrxiv : the Preprint Server for Health Sciences|January 2, 2026
Shared genetic architecture of brain age gap across 30 cohorts worldwideVilte Baltramonaityte, Philippe Jawinski, Marlene Staginnus, et al.
Human Brain Mapping|October 7, 2020
Intelligence, educational attainment, and brain structure in those at familial high-risk for schizophrenia or bipolar disorderSonja M C de Zwarte, Rachel M Brouwer, Ingrid Agartz, et al.
Pageof 23