Music therapy for people with schizophrenia and schizophrenia‐like disorders

M Geretsegger, KA Mössler… - Cochrane Database …, 2017 - cochranelibrary.com
Background Music therapy is a therapeutic approach that uses musical interaction as a
means of communication and expression. Within the area of serious mental disorders, the …

Rating scales for depression

C Cusin, H Yang, A Yeung, M Fava - Handbook of clinical rating scales …, 2010 - Springer
Over the past few decades, a number of clinician-rated and patient-rated instruments have
been developed as primary efficacy measures in depression clinical trials. All those scales …

Quality of life and functional impairment in obsessive–compulsive disorder: a comparison of patients with and without comorbidity, patients in remission, and healthy …

JD Huppert, HB Simpson, KJ Nissenson… - Depression and …, 2009 - Wiley Online Library
Background: Several studies have demonstrated that obsessive–compulsive disorder (OCD)
is associated with interference in quality of life (QOL) and functional impairment. However …

High incidence of body image dissatisfaction in pregnancy and the postnatal period: Associations with depression, anxiety, body mass index and weight gain during …

C Roomruangwong, B Kanchanatawan… - Sexual & Reproductive …, 2017 - Elsevier
This study aimed to delineate the prevalence of body image dissatisfaction in pregnant
women and parturients in relation to depression and anxiety symptoms. We assessed 126 …

Machine learning based approaches for clinical and non-clinical depression recognition and depression relapse prediction using audiovisual and EEG modalities: A …

S Yasin, A Othmani, I Raza, SA Hussain - Computers in Biology and …, 2023 - Elsevier
Mental disorders are rapidly increasing each year and have become a major challenge
affecting the social and financial well-being of individuals. There is a need for phenotypic …

Text-guided multimodal depression detection via cross-modal feature reconstruction and decomposition

Z Chen, D Wang, L Lou, S Zhang, X Zhao, S Jiang… - Information …, 2025 - Elsevier
Depression, a widespread and debilitating mental health disorder, requires early detection
to facilitate effective intervention. Automated depression detection integrating audio with text …

Learning as a model for neural plasticity in major depression

C Nissen, J Holz, J Blechert, B Feige, D Riemann… - Biological …, 2010 - Elsevier
BACKGROUND: The neuroplasticity hypothesis of depression proposes that a dysfunction of
neural plasticity—the basic ability of living organisms to adapt their neural function and …

Virtual reality improves sleep quality and associated symptoms in patients with chronic insomnia

Y Wan, H Gao, K Zhou, X Zhang, R Xue, N Zhang - Sleep Medicine, 2024 - Elsevier
Purpose The present study aimed to explore the effectiveness of virtual reality (VR) therapy
on sleep quality and associated symptoms, such as depression and anxiety, cognitive …

The diagnostic performance of machine learning based on resting-state functional magnetic resonance imaging data for major depressive disorders: a systematic …

Y Chen, W Zhao, S Yi, J Liu - Frontiers in Neuroscience, 2023 - frontiersin.org
Objective Machine learning (ML) has been widely used to detect and evaluate major
depressive disorder (MDD) using neuroimaging data, ie, resting-state functional magnetic …

Lower serum zinc and higher CRP strongly predict prenatal depression and physio-somatic symptoms, which all together predict postnatal depressive symptoms

C Roomruangwong, B Kanchanatawan… - Molecular …, 2017 - Springer
Pregnancy and delivery are associated with activation of immune-inflammatory pathways
which may prime parturients to develop postnatal depression. There are, however, few data …