Results 51 to 60 of about 786,893 (341)

Major Depressive Disorder Recognition and Cognitive Analysis Based on Multi-layer Brain Functional Connectivity Networks [PDF]

International Workshop on AI for Cognitive and Physical Frailty Workshop in Conjunction with IJCAI 2021 (AIF-IJCAI'21), 2021
On the increase of major depressive disorders (MDD), many researchers paid attention to their recognition and treatment. Existing MDD recognition algorithms always use a single time-frequency domain method method, but the single time-frequency domain method is too simple and is not conducive to simulating the complex link relationship between brain ...
arxiv  

Depression: Special Considerations for the Dental Setting

MedEdPORTAL, 2011
The 1-year prevalence rate for depression is 9.5%, or approximately 20.9 million adults in America. The lifetime prevalence of major depressive disorder is approximately 10%-25%.
Jessica G. Hinz
doaj   +1 more source

Retinoid homeostasis in major depressive disorder

Translational Psychiatry, 2023
The small, hormone-like molecule retinoic acid (RA) is a vital regulator in several neurobiological processes that are affected in depression. Next to its involvement in dopaminergic signal transduction, neuroinflammation, and neuroendocrine regulation ...
Lisa Rebecca Otto, Vera Clemens, Berk Üsekes, Nicoleta Carmen Cosma, Francesca Regen, Julian Hellmann-Regen   +5 more
doaj   +1 more source

Immature defense mechanisms predict poor response to psychotherapy in major depressive patients with comorbid cluster B personality disorder

Brazilian Journal of Psychiatry, 2022
Objective: To evaluate the impact of defense mechanisms at baseline on depressive symptoms after brief psychotherapies and after 6-months of follow-up among depressed patients with and without cluster B personality disorders (PDs).
Carolina Rheingantz Scaini, Igor Soares Vieira, Rosiene Machado, Taiane de Azevedo Cardoso, Thaise Mondin, Luciano Souza, Mariane Lopez Molina, Karen Jansen, Ricardo Azevedo da Silva   +8 more
doaj   +1 more source

Depression from the perspective of modern and Persian medicine

Electronic Physician, 2018
Background: Depression is one of the five most-common diseases globally, and is expected to be the second leading cause of disability by 2020 and its economic and social burden is a major problem worldwide Objective: The aim of this research was to ...
Majid Anushiravani, Ali Akhondpour Manteghi, Ali Taghipur, Mahdi Eslami   +3 more
doaj   +1 more source

Large-Scale Network Dysfunction in Major Depressive Disorder: A Meta-analysis of Resting-State Functional Connectivity.

JAMA psychiatry, 2015
IMPORTANCE Major depressive disorder (MDD) has been linked to imbalanced communication among large-scale brain networks, as reflected by abnormal resting-state functional connectivity (rsFC).
R. Kaiser, J. Andrews-Hanna, T. Wager, D. Pizzagalli   +3 more
semanticscholar   +1 more source

SUMOylation and Major Depressive Disorder

International Journal of Molecular Sciences, 2022
Since the discovery of the small ubiquitin-like modifier (SUMO) protein in 1995, SUMOylation has been considered a crucial post-translational modification in diverse cellular functions. In neurons, SUMOylation has various roles ranging from managing synaptic transmitter release to maintaining mitochondrial integrity and determining neuronal health.
Seok-Won Jeoung, Hyun-Sun Park, Zae Young Ryoo, Dong-Hyung Cho, Hyun-Shik Lee, Hong-Yeoul Ryu   +5 more
openaire   +2 more sources

The economic burden of adults with major depressive disorder in the United States (2005 and 2010).

Journal of Clinical Psychiatry, 2015
BACKGROUND The economic burden of depression in the United States--including major depressive disorder (MDD), bipolar disorder, and dysthymia--was estimated at $83.1 billion in 2000.
P. Greenberg, A. Fournier, Tammy Sisitsky, C. Pike, R. Kessler   +4 more
semanticscholar   +1 more source

Speech based Depression Severity Level Classification Using a Multi-Stage Dilated CNN-LSTM Model [PDF]

arXiv, 2021
Speech based depression classification has gained immense popularity over the recent years. However, most of the classification studies have focused on binary classification to distinguish depressed subjects from non-depressed subjects. In this paper, we formulate the depression classification task as a severity level classification problem to provide ...
arxiv  

Trans-ancestry genome-wide study of depression identifies 697 associations implicating cell types and pharmacotherapies. [PDF]

In a genome-wide association study (GWAS) meta-analysis of 688,808 individuals with major depression (MD) and 4,364,225 controls from 29 countries across diverse and admixed ancestries, we identify 697 associations at 635 loci, 293 of which are novel ...
Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium. Electronic address: andrew.mcintosh@ed.ac.uk   +1 more
core   +1 more source