The SSRI sertraline (Zoloft), if taken while pregnant, can result in birth defects caused by the drug damaging a cell's genetic information. Researchers report one potential way to counter the effect is with specific antioxidants.
Increased levels of serotonin transporters in the amygdala may explain why some people are more prone to anxiety than others.
While it is well-known antidepressants are effective at treating those with depression, a new study reports the medications may be beneficial as a preventative measure for those with a risk factor for depressive disorders.
Children exposed to SSRI antidepressants in utero had an increased risk of experiencing language and cognitive deficits in kindergarten.
Brain connections strengthened with treatment from fast-acting antidepressants, such as ketamine, are consolidated during deep sleep. Researchers propose rapid antidepressant treatments share the ability to regulate both synaptic potentiation and homeostatic mechanisms, which may contribute to how the brain reorganizes its activity to defeat depression.
The GPR56 protein has been implicated in the biology of depression and a person's response to antidepressants.
A new substance named Lu AF60097 may help reduce side effects from tricyclic antidepressants in those with severe depression.
Chronic stress can affect a person's health and mental well being. Due to the COVID-19 virus, chronic stress is on the rise worldwide. Researchers examine the general and psychological health implications of chronic stress and suggest some methods we can adopt to keep our stress levels in check.
When autoantibodies are able to enter the bran and act on NMDA receptors, people experience relief from symptoms of anxiety, depression, and stress.
Using a mini-brain model, researchers report the popular SSRI antidepressant Paroxetine can induce brain cell developmental abnormalities that could lead to adverse effects in children.
Findings reveal it is possible to predict the risk of a person with MDD lapsing back into depression after stopping antidepressants. Those who relapse take longer to decide how much effort to invest for a reward.
A new machine-learning algorithm that analyzes EEG data can identify reliable and robust neural signatures associated with antidepressant treatment response.
