Results 211 to 220 of about 3,696,874 (383)
The economic burden of adults with major depressive disorder in the United States (2005 and 2010).
P. Greenberg+4 more
semanticscholar +1 more source
HOP, an innovative ICT‐based fluorescent probe, visualizes H2O2 in stressed neurons while locally releasing serotonin (5‐HT) for real‐time protein interaction mapping. Its unique tandem sensing and labeling strategy reveals 5‐HT's role under oxidative stress, offering a powerful tool for neurophysiological research and therapeutic discovery.
Yani Liu+9 more
wiley +1 more source
P03.395 Therapy of depressive disorders with tianeptin and sertralin in patients with hypertension and ischemic heart disease [PDF]
K. V. Tarasova+4 more
openalex +1 more source
Acute restraint stress enhances STAT3Ser727 phosphorylation in dopaminergic neurons in mice. This modification promotes the upregulation of GABBR2 and GABRB3, reduces neuronal activity, and contributes to anxiety‐like behavior and diminished reward‐seeking following stress exposure.
Mingshuo Shao+10 more
wiley +1 more source
WPA.01 The use of the WPA/PTD educational programme on the recognition and treatment of depressive disorders [PDF]
Nikos C. Stefanis+2 more
openalex +1 more source
Undertreatment of people with major depressive disorder in 21 countries
G. Thornicroft+26 more
semanticscholar +1 more source
This double‐blind, placebo‐controlled study demonstrates that intranasal oxytocin reduces subjective fear in immersive, naturalistic social (but not non‐social) contexts. Concomitant fMRI reveals that oxytocin enhances middle cingulate activity and amygdala connectivity while it modulates network‐level connectivity and attenuates reactivity of a brain ...
Kun Fu+17 more
wiley +1 more source
P02.214 Therapeutic efficacy and metabolic peculiarities in patients with depressive disorders under tianeptine (TIA) and sertraline (SER) treatment [PDF]
N. Maximova+3 more
openalex +1 more source
A Replicable and Generalizable Neuroimaging‐Based Indicator of Pain Sensitivity Across Individuals
Humans differ in their sensitivity to pain. With six large and diverse fMRI datasets (total N = 1046), this study finds that such individual differences in pain sensitivity can be tracked by fMRI responses to painful stimuli. A highly generalizable machine learning model is further built to predict pain sensitivity across all datasets and analgesic ...
Li‐Bo Zhang+7 more
wiley +1 more source