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For somepeople with depression, finding the right medication can be a process of trial and error lasting for months or even years, which can worsen symptoms.

But what if doctors, whendiagnosing someone with depression, could assess exactly how depression is affecting a patient’s brain and prescribe a treatment that gets it right the first time?

The Impact of Global Economic Trends on Indian Stocks AI Driven Stock Research ✌️【Part-Time Income】✌️ Expert predictions of market trends to help you plan the best investment strategy for steady capital growth. Scientists may be a step closer to that reality, thanks to new research that has identified six subtypes — or “biotypes” — of major depression via brain imaging combined with machine learning. The study, published Monday inthe journal Nature Medicine, also tested how three of those biotypes responded to different antidepressants and therapies.

“There are currently no tests available to help pinpoint what type of depression (people) have, or, I think especially importantly, what treatment might be most suitable for them,” said Dr. Leanne Williams, the study’s senior author and the Vincent V.C. Woo Professor of Psychiatry and Behavioral Sciences at the Stanford University School of Medicine in California. “The current situation is we rely on a person to tell us what they’re experiencing and for the physician or therapist to observe symptoms and come to a diagnosis.”

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“That motivated this study — to have a whole new way to more quickly get the right treatment, to figure out the right treatment for each person the first time,” said Williams, who is also the director of the Stanford Center for Precision Mental Health and Wellness. Williams lost her partner to a decades-long struggle with depression in 2015 and for more than 20 yearshas focused her workon individualized mental health care.

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Participants with this biotype also performed worse on executive function tasks that assessed how well they could manage thoughts or behaviors, make decisions or suppress distraction, Williams said. They also had the best response to the antidepressant venlafaxine.

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“Depression is a lot of different things with a lot of different causes, biological changes and treatments,” said Dr. Richard Keefe, professor emeritus of psychiatry and behavioral sciences at Duke University Medical Center in North Carolina, who wasn’t involved in the study.

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But the most important next step is a study that tests the authors’ hypothesis — that if patients have particular biotypes, they’ll do better on a specific treatment — and tracks participants over time, said Alpert, chair of the American Psychiatric Association’s Council on Research.

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“Since 2009, the National Institute of Mental Health has been invested in using basic science, including functional brain imaging like in this study, for identifying the causes of mental illness through approaches that delve deeper than the traditional diagnostic approaches,” Keefe said.

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“When we use it in that setting, we can effectively double the chance of someone getting better,” she said, taking the odds from around 30% of people improving with the traditional approach to about 75% with the more precise method.

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For now, people with depression should know “there is continued progress being made” toward efficiently getting patients effective treatment, Alpert said. If you’re struggling,talk with a mental health professionalabout your options.

One powerful effect these findings could have immediately is to reduce stigma, Williams said. For people who think their depression is just due to them “not trying hard enough,” she added, understanding the disorder through the lens of objective measures of brain function could be “deeply helpful.”

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