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| http://dx.doi.org/10.1177/17534666241271019 | DOI Listing |
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Voice Quality as Digital Biomarker in Bipolar Disorder: A Systematic Review.
J Voice
January 2025
Department of Surgery, UMONS Research Institute for Health Sciences and Technology, University of Mons (UMons), Mons, Belgium; Division of Laryngology and Bronchoesophagology, Department of Otolaryngology Head Neck Surgery, EpiCURA Hospital, Baudour, Belgium; Department of Otolaryngology-Head and Neck Surgery, Foch Hospital, School of Medicine, UFR Simone Veil, Université Versailles Saint-Quentin-en-Yvelines (Paris Saclay University), Paris, France; Department of Otolaryngology, Elsan Hospital, Paris, France. Electronic address:
Background: Voice analysis has emerged as a potential biomarker for mood state detection and monitoring in bipolar disorder (BD). The systematic review aimed to summarize the evidence for voice analysis applications in BD, examining (1) the predictive validity of voice quality outcomes for mood state detection, and (2) the correlation between voice parameters and clinical symptom scales.
Methods: A PubMed, Scopus, and Cochrane Library search was carried out by two investigators for publications investigating voice quality in BD according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statements.
Behind Closed Eyes: Understanding Nightmares in Children and Adolescents with Autism Spectrum Disorder - A Systematic Review.
Neurosci Biobehav Rev
January 2025
Department of Psychology, Sapienza University of Rome, Rome, Italy; Body and Action Lab, IRCCS Fondazione Santa Lucia, Rome, Italy. Electronic address:
Introduction: Brain and sleep development in childhood shapes emotional and cognitive growth, including the ability to recall dreams. In line with the continuity hypothesis of dreaming, several findings suggest a link between clinical symptoms and nightmare frequency. Sleep disorders and anxiety are among the most frequently co-occurring conditions in children and adolescents with autism spectrum disorder (ASD).
View Article and Find Full Text PDFEndothelial cell (EC)-specific CTGF/CCN2 Expression Increases EC Reprogramming and Atherosclerosis.
Matrix Biol
January 2025
Department of Surgery, Emory University, Atlanta, GA, USA; Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, USA; Research Services, Atlanta VA Medical Center, Decatur, GA, USA. Electronic address:
Arterial endothelial cells (ECs) reside in a complex biomechanical environment. ECs sense and respond to wall shear stress. Low and oscillatory wall shear stress is characteristic of disturbed flow and commonly found at arterial bifurcations and around atherosclerotic plaques.
View Article and Find Full Text PDFComparative effectiveness of various exercise interventions on central sensitisation indices: A systematic review and network meta-analysis.
Ann Phys Rehabil Med
January 2025
Pain Centre Versus Arthritis, University of Nottingham, Nottingham, UK; Nottingham NIHR Biomedical Research Centre, University of Nottingham, Nottingham, UK.
Background: Central sensitisation (CS) increases musculoskeletal pain. Quantitative sensory testing (QST) or self-report questionnaires might indicate CS. Indices of CS might be suppressed by exercise, although the optimal exercise regimen remains unclear.
View Article and Find Full Text PDFEEG microstate analysis and machine learning classification in patients with obsessive-compulsive disorder.
J Psychiatr Res
January 2025
Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China. Electronic address:
Background: Microstate characterization of electroencephalogram (EEG) is a data-driven approach to explore the functional changes and interrelationships of multiple brain networks on a millisecond scale. This study aimed to explore the pathological changes of whole-brain functional networks in patients with obsessive-compulsive disorders (OCD) through microstate analysis and further to explore its potential value as an auxiliary diagnostic index.
Methods: Forty-eight OCD patients (33 with more than moderate anxiety symptoms, 15 with mild anxiety symptoms) and 52 healthy controls (HCs) were recruited.
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