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November 1, 2016
Predicting the usefulness of antidepressants
At a Glance
- Researchers created a model, based on brain activity and exposure to stress in childhood, that predicts the likelihood that antidepressants will benefit a patient.
- The study suggests a new way to help inform treatment decisions for people with depression.
Depression is one of the most common mental disorders in the U.S. It can bring a persistent sad, anxious, or 鈥渆mpty鈥 mood and affect your ability to function and enjoy life. There鈥檚 no 鈥渙ne-size-fits-all鈥 therapy. Depression is usually treated with antidepressant medications, psychotherapy, or a combination. It鈥檚 often a trial-and-error process to figure out which approaches will work best for each individual.
Early life stressors and the brain鈥檚 processing of emotions can each contribute to depression. Stress can activate and eventually cause physical changes to the brain鈥檚 amygdala region, which processes fear. A group of scientists, led by Drs. Leanne Williams and Andrea Goldstein-Piekarski at Stanford University, investigated whether they could predict the likelihood that antidepressants would work for patients with depression based on their childhood stress exposure and amygdala activity. The research was funded in part by NIH鈥檚 最新麻豆视频 Institute of Mental Health (NIMH) and 最新麻豆视频 Institute of Biomedical Imaging and Bioengineering (NIBIB). Results were published in the Proceedings of the 最新麻豆视频 Academy of Sciences on October 18, 2016.
The team analyzed data from 70 patients with major depressive disorder from the . Patients were asked how many life stressors they鈥檇 experienced before age 18. This included abuse, neglect, family conflict, illness or death, and natural disasters. Using functional MRI, the researchers measured brain activity in patients while they viewed pictures of emotional faces. Brain scans were taken before patients started an antidepressant treatment and 8 weeks after. Participants were randomly selected to receive 1 of 3 commonly prescribed antidepressants: sertraline (Zoloft), escitalopram (Lexapro), or venlafaxine-XR (Effexor-XR).
The team compared how well early life stressors and brain responses to positive or negative facial expressions correlated with patient recovery. A model combining all 3 factors predicted the likelihood that antidepressants would benefit patients with over 80% accuracy.
The researchers grouped patients聽into 3 categories based on the number of stressful events they鈥檇 experienced (low, medium, or high). Antidepressants were less likely to work for those in the high-stress category. However, these patients had a greater chance of benefiting from the medications if their brains were highly responsive to happy facial expressions. Patients with low childhood stress were most likely to benefit from antidepressant treatment. Their chances rose if their brains were less sensitive to both happy and fearful stimuli. These results suggest that, for some patients, it might help to first try therapy techniques that address the impact of trauma in a person鈥檚 life before considering medication.
鈥淲e were able to show how we can use an understanding of the whole person鈥攖heir experiences and their brain function and the interaction between the 2鈥攖o help tailor treatment choices,鈥 Williams says. More research is needed to determine whether this model could be used to predict if a specific antidepressant would benefit a patient.
鈥昩y Tianna Hicklin, Ph.D.
Related Links
- Depression Screening and Treatment in Adults
- Placebo Effect in Depression Treatment
- Brain Scan May Predict Best Depression Treatment
- Predicting Treatment Response to a Rapid Antidepressant
References: Goldstein-Piekarski AN, Korgaonkar MS, Green E, Suppes T, Schatzberg AF, Hastie T, Nemeroff CB, Williams LM. Proc Natl Acad Sci U S A. 2016 Oct 18;113(42):11955-11960. Epub 2016 Oct 10. PMID: 27791054.
Funding: NIH鈥檚 最新麻豆视频 Institute of Mental Health (NIMH) and 最新麻豆视频 Institute of Biomedical Imaging and Bioengineering (NIBIB); and BRC Operations Pty. Ltd.