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Telemed J E Health
January 2025
Instituto de Investigación Sanitaria de Aragón, Zaragoza, Spain.
Infertility and assisted reproduction treatment (ART) are frequently accompanied by the experience of emotional disorders. Psychological interventions are available for infertile populations, but the barriers of current face-to-face models of care difficult their dissemination. This systematic review (PROSPERO: CRD4202340179) aims to summarize how technologies are used in telemedicine psychological programs to manage emotional disorders in women undergoing fertility treatments.
View Article and Find Full Text PDFPsychophysiology
January 2025
Department of Psychological Science, University of Arkansas, Fayetteville, Arkansas, USA.
Maladaptive emotion regulation (ER) strategies are a transdiagnostic construct in psychopathology. ER depends on cognitive control, so brain activity associated with cognitive control, such as frontal theta and beta, may be a factor in ER. This study investigated the association of theta and beta power with positive affect and whether emotion regulation strategies explain this association.
View Article and Find Full Text PDFJ Psychiatry Neurosci
October 2024
From the Department of Applied Psychology, Guangdong University of Foreign Studies, Guangzhou, China (Wu, Li, Wang); the Centre for Health Services Research, Faculty of Medicine, The University of Queensland, St Lucia, Queensland, Australia (Wu)
Background: Deficient neural activities during emotion regulation have been reported in depression. We sought to conduct a meta-analysis to provide a comprehensive description of these neural alterations during use of emotion regulation strategies among patients with depression, including major depressive disorder (MDD) and bipolar disorder (BD).
Methods: We identified neuroimaging studies of abnormal neural activities during emotion regulation in depression.
Sci Rep
October 2024
Molecular Mind Laboratory (MoMiLab), IMT School for Advanced Studies Lucca, Lucca, Italy.
Emotion classification using electroencephalographic (EEG) data is a challenging task in the field of Artificial Intelligence. While many researchers have focused on finding the best model or feature extraction technique to achieve optimal results, few have attempted to select the best methodological steps for working with the dataset. In this study, we applied two different theoretical approaches based on the noise of the dataset: curriculum learning and confident learning.
View Article and Find Full Text PDFPediatr Blood Cancer
December 2024
Department of Pediatric Surgery, Hôpital Kremlin-Bicêtre, APHP, University of Paris-Saclay, Paris, France.
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