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  • National Study of Deep Brain Stimulation for Depression Fails to Demonstrate Efficacy

    neurosciencestuff:

    Depression is a leading cause of disability worldwide, and treatment-resistant symptoms of depression have a terrible personal and societal cost. They can devastate lives, careers, and families. Some severely ill patients may be unable to attend to even the basic elements of self-care, while others attempt or complete suicide.

    image

    Because of the clinical urgency, deep brain stimulation (DBS) treatments for depression have been developed over the past 15 years. These treatments require surgery to make a small hole in the skull through which an electrode is passed into a specific brain region. Once positioned, a standard electrical stimulation procedure is initiated, which is modeled after highly effective DBS treatments that are used for Parkinson’s disease, essential tremor, and other neurologic conditions.

    DBS does not damage healthy brain tissue. It works by using electrical pulses to ‘block’ neural signals from the targeted brain area that is the known or suspected source of the symptoms.

    A large number of relatively small open-label studies have supported the effectiveness of various forms of DBS for both depression and obsessive-compulsive disorder.

    In the current issue of Biological Psychiatry, Dr. Darin Dougherty and his colleagues report the results of the first large-scale, randomized, sham-controlled trial of deep brain stimulation treatment for treatment-resistant symptoms of depression. Thirty patients received active DBS or sham ‘placebo’ stimulation for 16 weeks, targeted at the ventral capsule and ventral striatum, brain regions implicated in reward and motivation. A two-year open-label continuation phase followed.

    This study, conducted at five medical centers across the U.S. that collaborated on the project, failed to find that DBS reduced depression symptoms better than sham stimulation.

    “While initial open-label trials of DBS at the ventral capsule/ventral striatum target were promising, the results of this first controlled trial were negative,” explained Dougherty, Director of Neurotherapeutics at Massachusetts General Hospital and Associate Professor at Harvard Medical School.

    Dr. Thomas Schlaepfer, an expert on DBS treatment unaffiliated with this study, from Johns Hopkins University and University Hospital Bonn in Germany, wrote a companion piece to this article and commented, “On first sight, this might be seen as a crisis for the whole field of neurostimulation therapies for depression… [but we] believe that these are examples of failed studies and not failed treatments.”

    “This study raises serious questions about the advisability of continuing to stimulate these reward regions in the manner employed in this study,” said Dr. John Krystal, Editor of Biological Psychiatry. “It is critical to understand that this study is not a universal indictment of DBS as a strategy for depression. It may turn out that stimulating other brain regions or stimulating these regions in different ways could provide important benefit.”

    “Given the degree of response that we have seen in some of the most treatment refractory patients, we agree with Dr. Schlaepfer and Dr. Krystal. Alternative study designs will have to be considered as we conduct future clinical trials in this critical area,” concluded Dougherty.

    (Source: elsevier.com)

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  • 5 Questions To Ask Yourself This Morning To Advance Your Career

    forbes:

    Finding the right questions to ask is also tough, but you’ll find that these five can help you evaluate exactly where you are, exactly where you want to go, and how you’re going to get there:

    1) What Did I Learn From Yesterday?

    2) What Is My Goal for Today?

    3) Do I Like Where I Am?

    4) Where Do I Want to Be?

    5) What Can I Do Today to Get Closer?

    Here’s why these are important questions to ask.

    (Source: onforb.es)

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  • Seeing Is Believing

    neurosciencestuff:

    If your eyes deceive you, blame your brain. Many optical illusions work because what we see clashes with what we expect to see.

    That 3D movie? Give credit to filmmakers who exploit binocular vision, or the way the brain merges the slightly different images from the two eyes to create depth.

    These are examples of the brain making sense of the information coming from the eyes in order to produce what we “see.” The brain combines signals that reach your retina with the models your brain has learned to predict what to expect when you move through the world. Your brain solves problems by inferring what is the most likely cause of any given image on your retina, based on knowledge or experience.

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    (Image caption: Experiments tested detection of changes in direction of motion (left-hand pathway) or depth (right-hand pathway, in blue) after neurons in V2/V3 were inactivated. Credit: Born lab)

    Individual tuning

    Scientists have explored the complex puzzle of visual perception with increasing precision, discovering that individual neurons are tuned to detect very specific motions: up, but not down; right, but not left; and in all directions. These same neurons, which live in the brain’s middle temporal visual area, are also sensitive to relative depth.

    Now a Harvard Medical School team led by Richard Born has uncovered key principles about the way those neurons work, explaining how the brain uses sensory information to guide the decisions that underlie behaviors. Their findings, reported in Neuron, illuminate the nature and origin of the neural signals used to solve perceptual tasks.

    Based on their previous work, the researchers knew that they could selectively interfere with signals concerning depth, while leaving the signals for direction of motion intact. They wanted to learn what happened next, after the visual information was received and used to make a judgment about the visual stimulus.

    Was the next step based on “bottom-up” information coming from the retina as sensory evidence? Or, as in optical illusions, did top-down information originating in the brain’s decision centers influence what happened in response to a visual stimulus?

    “We were able to show that there’s a direct bottom-up contribution to these signals,” said Born, HMS professor of neurobiology and senior author of the paper. “It’s told us some very interesting things about how the brain makes calculations and combines information from different sources, and how that information influences behaviors.”

    Selective blocking

    In their experiments with nonhuman primates, the researchers cooled specific neurons to temporarily block their signals, in the same way that ice makes a sprained ankle feel better because it prevents pain neurons from firing.  

    The team selectively blocked pathways that provide information about visual depth—how far something is from the viewer—but not the direction of motion. The animals were trained to watch flickering dots on a screen, something like “snow” on an old television, and detect when the dots suddenly lined up and moved in one direction or changed in depth.

    If the animal detected motion or a change in depth, making an eye movement to look at the changed stimulus would result in delivery of a reward.

    When the neurons were inactivated, the animals were less likely to detect depth, but their ability to detect motion was not affected. This told the scientists that feed-forward information, not feedback, was being used by the animal to make its decision. Their findings help explain how relative motion and depth work together.

    Two pathways

    “Combining two pathways that compute two different things in the same neurons is essential for vision, we think,” Born said. “But for these two particular calculations, first you have to compute them separately before you can put them together.”

    Born believes there are other implications of their work.

    “We think that the same operations that are happening in the visual system are happening at higher levels of the brain, so that by understanding these circuits that are easier to study we think we will gain traction on those higher level questions,” Born said.

    (Source: hms.harvard.edu)