Animal models for the study of depressive disorder

J Song, YK Kim - CNS neuroscience & therapeutics, 2021 - Wiley Online Library
Depressive disorder is one of the most widespread forms of psychiatric pathology,
worldwide. According to a report by the World Health Organization, the number of people …

The use of latent class analysis for identifying subtypes of depression: A systematic review

CM Ulbricht, SA Chrysanthopoulou, L Levin… - Psychiatry …, 2018 - Elsevier
Depression is a significant public health problem but symptom remission is difficult to
predict. This may be due to substantial heterogeneity underlying the disorder. Latent class …

Identification of depression subtypes and relevant brain regions using a data-driven approach

T Tokuda, J Yoshimoto, Y Shimizu, G Okada… - Scientific reports, 2018 - nature.com
It is well known that depressive disorder is heterogeneous, yet little is known about its
neurophysiological subtypes. In the present study, we identified neurophysiological …

Risk factors for adult depression: adverse childhood experiences and personality functioning

P Dagnino, MJ Ugarte, F Morales, S González… - Frontiers in …, 2020 - frontiersin.org
Background: Depressive disorder is one of the main health problems worldwide. Many risk
factors have been associated with this pathology. However, while the association between …

Clinical characteristics of late-life depression predicting mortality

KS van den Berg, C Wiersema, JM Hegeman… - Aging & Mental …, 2021 - Taylor & Francis
Objective Depression has been associated with increased mortality rates, and modifying
mechanisms have not yet been elucidated. We examined whether specific subtypes or …

Threat neurocircuitry predicts the development of anxiety and depression symptoms in a longitudinal study

Y Peng, JD Knotts, KS Young, SY Bookheimer… - Biological psychiatry …, 2023 - Elsevier
Background Owing to high heterogeneity and comorbidity, the shared and unique neural
mechanisms underlying the development of anxiety and major depressive disorders remain …

A smartphone-and wearable-based biomarker for the estimation of unipolar depression severity

A Zhuparris, G Maleki, L van Londen, I Koopmans… - Scientific Reports, 2023 - nature.com
Drug development for mood disorders can greatly benefit from the development of robust,
reliable, and objective biomarkers. The incorporation of smartphones and wearable devices …

The role and mechanism of NLRP3 inflammasome-mediated astrocyte activation in dehydrocorydaline against CUMS-induced depression

Y Fang, H Guo, Q Wang, C Liu, S Ge… - Frontiers in …, 2022 - frontiersin.org
Background: Depression is a common and potentially life-threatening mental illness, and
currently, there is a lack of effective treatment. It has been reported that dehydrocorydaline …

Biomarker-based subtyping of depression and anxiety disorders using Latent Class Analysis. A NESDA study

L Beijers, KJ Wardenaar, FJ Bosker, F Lamers… - Psychological …, 2019 - cambridge.org
BackgroundEtiological research of depression and anxiety disorders has been hampered by
diagnostic heterogeneity. In order to address this, researchers have tried to identify more …

Antidepressant-like effects of Rehmannioside A on rats induced by chronic unpredictable mild stress through inhibition of endoplasmic reticulum stress and apoptosis …

M Yuan, B Yuan - Journal of Chemical Neuroanatomy, 2022 - Elsevier
Depression is one of the most prevalent psychiatric mood diseases worldwide, whose
therapy is in urgent need of development. Although the neuroprotective effects of …