Biomarkers may be key to discovery of successful initial treatment of depression

June 12, 2013
Scan predicts whether therapy or meds will best lift depression
If a patient's pre-treatment resting brain activity was low in the front part of the insula, on the right side of the brain (red area where green lines converge), it signaled a significantly higher likelihood of remission with CBT and a poor response to escitalopram. Conversely, hyperactivity in the insula predicted remission with escitalopram and a poor response to CBT. Picture shows PET data superimposed on anatomic MRI scan data. Credit: Helen Mayberg, M.D., Emory University

In a National Institutes of Health (NIH) funded clinical trial, researchers at Emory have discovered that specific patterns of brain activity may indicate whether a depressed patient will or will not respond to treatment with medication or psychotherapy. The study was published June 12, 2013, in JAMA Psychiatry Online First.

The choice of medication versus is often based on the preference of the patient or clinician, rather than . On average, 35-40 percent of patients get well with whatever they start with.

"To be ill with depression any longer than necessary can be perilous," says Helen Mayberg, MD, principal investigator for the study and professor of psychiatry, neurology and radiology at Emory University School of Medicine. "This is a serious illness and the prolonged suffering resulting from an ineffective treatment can have serious medical, personal and social consequences. Our goal is not just to get patients well, but to get them well as fast as possible, using the treatment that is best for each individual."

Mayberg's tomography (PET) studies over the years have given clues about what may be going on in the brain when people are depressed, and how different treatments affect .

These studies have also suggested that scan patterns prior to treatment might provide important clues as to which treatment to chose. In this study, the investigators used PET scans to measure brain , an important index of brain functioning to test this hypothesis.

Brain PET scans prior to treatment predicted whether a patient's depression would best respond to an antidepressant or a psychotherapy. Higher resting activity in the right front insula identified cognitive behavior therapy non-responders (CBT NR) and patients who achieved remission with escitalopram (sCIT REM). Conversely, lower activity in that brain area signaled remission with cognitive behavior therapy (CBT REM) and a poor response to escitalopram (sCIT NR). Each circle or square represents a patient in the study. Most patients in each group clustered either above or below the dotted line demarcating high and low activity, indicating that the insula may hold promise as a biomarker of brain states associated with differential response to these treatments Credit: Helen Mayberg, M.D., Emory University

Participants in the trial were randomly assigned to receive a 12-week course of either the SSRI medication escitalopram or (CBT) after first undergoing a pretreatment PET scan.

The team found that activity in one particular region of the brain, the anterior insula, could discriminate patients who recovered from those who were non-responders to the treatment assigned. Specifically, patients with low activity in the insula showed remission with CBT, but poor response to medication; patients with high activity in the insula did well with medication, and poorly with CBT.

"These data suggest that if you treat based on a patient's brain type, you increase the chance of getting them into remission," says Mayberg.

Mayberg is quick to add that this approach needs to be replicated before it would be appropriate for routine treatment selection decisions for individual depressed patients. It is, however, a first step to better define different types of depression that can be used to select a specific treatment for a patient.

A treatment stratification approach is done routinely in the management of other medical conditions such as infections, cancer, and heart disease, notes Mayberg. "The study reported here provides important first results towards the development of brain-based treatment algorithms that match a patient to the treatment with the highest likelihood of success, while also avoiding those treatments that will be ineffective."

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beleg
not rated yet Jun 13, 2013
Our goal is not just to get patients well, but to get them well as fast as possible, using the treatment that is best for each individual." - Helen Mayberg, MD, principal investigator for the study and professor of psychiatry, neurology and radiology at Emory University School of Medicine.

Simply administer GLYX-13 once. If you don't get a response within ninety minutes you can revert back to any alternative you wish to pursue.
beleg
not rated yet Jun 13, 2013

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