Neurofeedback training can alter guilt-related networks and improve self-esteem in those with major depressive disorder.
Long term outcome data of patients with treatment-resistant depression found subcallosal cingulate deep brain stimulation (SCC DBS) was both effective at relieving symptoms and safe.
Those with anxiety and depressive disorders may actively resist relaxation, especially if they are more sensitive to shifts in negative emotions.
The largest delay discounting effects were found to be associated with bipolar disorder, borderline personality disorder, and schizophrenia. The image is in the public domain.
Only 45% of patients with major depressive disorder find benefit from cognitive behavioral therapy (CBT). A neuroimaging study reveals those who respond to CBT have greater neural activity in the right striatum and right amygdala pretreatment than those who find little benefit from the treatment. The findings could serve as a biomarker to discover who will respond to CBT.
Nineteen gene sets have been identified that contribute to at least five psychiatric disorders. The gene sets were associated with ADHD, ASD, bipolar disorder, major depressive disorder, and schizophrenia.
A potential link has been identified between obstructive sleep apnea (OSA) and major depressive disorder. Treating OSA may help to improve depressive symptoms, as well as reduce suicidal thoughts and improve sleep for those with insomnia.
Antidepressants for major depressive disorder reduce the aversive response triggered by exposure to the suffering of others. Findings suggest antidepressants may lead to impaired empathy of pain perception.
A genetic liability for major depression increases suicide risk across other psychiatric disorders.
Exposure to everyday stressors may result in impairments in endothelial function for patients with major depressive disorder. The findings reveal a possible reason for the association between stress, depression and an increased risk of cardiovascular disease.
Researchers provide evidence schizophrenia may be overdiangosed in patients experiencing anxiety and other mood disorders.
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Artificial intelligence technology is able to objectively differentiate between those with PTSD and those without by analyzing speech samples, with 89.1% accuracy.
