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Irina Falkenberg

Showing results (41-50 of 56) with videos related to

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International Journal of Bipolar Disorders|February 18, 2025
Quality of life in persons at risk for bipolar disorder: a two year prospective-longitudinal observational cohort study (BipoLife)Johanna Glaus, Anne Karow, Martin Lambert, et al.
International Journal of Bipolar Disorders|November 17, 2021
The German research consortium for the study of bipolar disorder (BipoLife): a magnetic resonance imaging study protocolChristoph Vogelbacher, Jens Sommer, Verena Schuster, et al.
Schizophrenia Research. Cognition|October 13, 2025
Premorbid functioning trajectories and the one-year course of cognitive performance in first-episode psychosis: a cluster analysis in PSYSCANMargot I E Slot, Hendrika H van Hell, Inge Winter-van Rossum, et al.
Journal of Affective Disorders|February 18, 2026
Contribution of depressive symptom load on prediction of transition to bipolar disorders: Results from the prospective-longitudinal multi-method Early-BipoLife studyThore Petersen, Julia Martini, Michael Bauer, et al.
European Neuropsychopharmacology : the Journal of the European College of Neuropsychopharmacology|November 1, 2023
Young people at risk for developing bipolar disorder: Two-year findings from the multicenter prospective, naturalistic Early-BipoLife studyJulia Martini, Kyra Luisa Bröckel, Karolina Leopold, et al.
Psychological Medicine|May 22, 2023
Prediction of estimated risk for bipolar disorder using machine learning and structural MRI featuresPavol Mikolas, Michael Marxen, Philipp Riedel, et al.
Translational Psychiatry|September 21, 2021
Individuals at increased risk for development of bipolar disorder display structural alterations similar to people with manifest diseasePavol Mikolas, Kyra Bröckel, Christoph Vogelbacher, et al.
International Journal of Bipolar Disorders|December 30, 2025
Creativity and transition to bipolar disorder: a prospective analysis from the early-bipolife studyElisabeth Michaelis, Michael Bauer, Andreas Bechdolf, et al.
Brain Sciences|June 28, 2023
Machine Learning Prediction of Estimated Risk for Bipolar Disorders Using Hippocampal Subfield and Amygdala Nuclei VolumesFabian Huth, Leonardo Tozzi, Michael Marxen, et al.
JMIR Mental Health|June 22, 2026
Functional Outcome Prediction in Young Adults With Mental Health Symptoms Using Machine Learning and Large Language Models: Longitudinal Observational StudyPavol Mikolas, Fabian Huth, Kyra Bröckel-Bundt, et al.
Pageof 6

Showing results (41-50 of 56) with videos related to

Sort By:
Pageof 6
International Journal of Bipolar Disorders|February 18, 2025
Quality of life in persons at risk for bipolar disorder: a two year prospective-longitudinal observational cohort study (BipoLife)Johanna Glaus, Anne Karow, Martin Lambert, et al.
International Journal of Bipolar Disorders|November 17, 2021
The German research consortium for the study of bipolar disorder (BipoLife): a magnetic resonance imaging study protocolChristoph Vogelbacher, Jens Sommer, Verena Schuster, et al.
Schizophrenia Research. Cognition|October 13, 2025
Premorbid functioning trajectories and the one-year course of cognitive performance in first-episode psychosis: a cluster analysis in PSYSCANMargot I E Slot, Hendrika H van Hell, Inge Winter-van Rossum, et al.
Journal of Affective Disorders|February 18, 2026
Contribution of depressive symptom load on prediction of transition to bipolar disorders: Results from the prospective-longitudinal multi-method Early-BipoLife studyThore Petersen, Julia Martini, Michael Bauer, et al.
European Neuropsychopharmacology : the Journal of the European College of Neuropsychopharmacology|November 1, 2023
Young people at risk for developing bipolar disorder: Two-year findings from the multicenter prospective, naturalistic Early-BipoLife studyJulia Martini, Kyra Luisa Bröckel, Karolina Leopold, et al.
Psychological Medicine|May 22, 2023
Prediction of estimated risk for bipolar disorder using machine learning and structural MRI featuresPavol Mikolas, Michael Marxen, Philipp Riedel, et al.
Translational Psychiatry|September 21, 2021
Individuals at increased risk for development of bipolar disorder display structural alterations similar to people with manifest diseasePavol Mikolas, Kyra Bröckel, Christoph Vogelbacher, et al.
International Journal of Bipolar Disorders|December 30, 2025
Creativity and transition to bipolar disorder: a prospective analysis from the early-bipolife studyElisabeth Michaelis, Michael Bauer, Andreas Bechdolf, et al.
Brain Sciences|June 28, 2023
Machine Learning Prediction of Estimated Risk for Bipolar Disorders Using Hippocampal Subfield and Amygdala Nuclei VolumesFabian Huth, Leonardo Tozzi, Michael Marxen, et al.
JMIR Mental Health|June 22, 2026
Functional Outcome Prediction in Young Adults With Mental Health Symptoms Using Machine Learning and Large Language Models: Longitudinal Observational StudyPavol Mikolas, Fabian Huth, Kyra Bröckel-Bundt, et al.
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