Chronic trauma can inflict lasting damage to brain regions associated with fear and anxiety. Previous imaging studies of people with post-traumatic stress disorder, or PTSD, have shown that these brain regions can over-or under-react in response to stressful tasks, such as recalling a traumatic event or reacting to a photo of a threatening face. Now, researchers at NYU School of Medicine have explored for the first time what happens in the brains of combat veterans with PTSD in the absence of external triggers.
Their results, published in Neuroscience Letters, and presented today at the annual meeting of the American Psychiatry Association in San Francisco, show that the effects of trauma persist in certain brain regions even when combat veterans are not engaged in cognitive or emotional tasks, and face no immediate external threats. The findings shed light on which areas of the brain provoke traumatic symptoms and represent a critical step toward better diagnostics and treatments for PTSD.
A chronic condition that develops after trauma, PTSD can plague victims with disturbing memories, flashbacks, nightmares and emotional instability. Among the 1.7 million men and women who have served in the wars in Iraq and Afghanistan, an estimated 20% have PTSD. Research shows that suicide risk is higher in veterans with PTSD. Tragically, more soldiers committed suicide in 2012 than the number of soldiers who were killed in combat in Afghanistan that year.
“It is critical to have an objective test to confirm PTSD diagnosis as self reports can be unreliable,” says co-author Charles Marmar, MD, the Lucius N. Littauer Professor of Psychiatry and chair of NYU Langone’s Department of Psychiatry. Dr. Marmar, a nationally recognized expert on trauma and stress among veterans, heads The Steven and Alexandra Cohen Veterans Center for the Study of Post-Traumatic Stress and Traumatic Brain Injury at NYU Langone Medical Center.
The study, led by Xiaodan Yan, a research fellow at NYU School of Medicine, examined “spontaneous” or “resting” brain activity in 104 veterans of combat from the Iraq and Afghanistan wars using functional MRI, which measures blood-oxygen levels in the brain. The researchers found that spontaneous brain activity in the amygdala, a key structure in the brain’s “fear circuitry” that processes fearful and anxious emotions, was significantly higher in the 52 combat veterans with PTSD than in the 52 combat veterans without PTSD. The PTSD group also showed elevated brain activity in the anterior insula, a brain region that regulates sensitivity to pain and negative emotions.
Moreover, the PTSD group had lower activity in the precuneus, a structure tucked between the brain’s two hemispheres that helps integrate information from the past and future, especially when the mind is wandering or disengaged from active thought. Decreased activity in the precuneus correlates with more severe “re-experiencing” symptoms—that is, when victims re-experience trauma over and over again through flashbacks, nightmares and frightening thoughts.
(via scinerds)


![neuromorphogenesis:
A “baseball-playing” robot with a 100,000-neuron “brain”
That’s a lot of quotation marks. Also the robot’s baseball bat looks a bit like an oversized fly swatter. Whatever – this thing is still impressive.
The real-time cerebellum was created by Tadashi Yamazaki and Jun Igarashi, of Japan’s RIKEN Brain Science Institute. An accelerometer located at the rear of the batting cage detects the flight path of the ball, and relays that information to a graphics processor (GPU), similar to what you might find in a gaming computer.
This GPU is the robot’s artificial brain. According to the researchers, it comprises a large-scale spiking network model of a cerebellum, including “more than 100,000 spiking neuron units within realistic parameters.” (The neurons in a spiking neural network, like the neurons in your brain, fire in accordance with the propagation of simulated neuron potentials. Basically, the GPU’s artificial neurons obey the same go/no-go rules as the neurons in your head, making spiking neural networks some of the most realistic brain simulators out there.) The GPU does some number-crunching and tells the robot how best to move in order to make contact. But the GPU also learns from its mistake. Even if the robot swings and misses, it’s only a matter of time until it’s nailing every pitch (provided the ball is tossed at the same speed and along the same flight path every time). If the pitch-speed and path are changed, the robot learns again.
As Wired’s Daniela Hernandez points out, this is not the first time researchers have used a neural network to control a robot:
A team of scientists in Europe, for instance, have used an artificial cerebellum to control a robotic limb. But according to [Yamazaki]… the baseball-playing robot is the second largest model of its kind and it runs in realtime, meaning its much faster than other systems. That means the GPU brain is better suited to controlling external hardware, he says.
The paper describing the research is published, in Neural Networks.](http://24.media.tumblr.com/1869db5a66f84ed3c74f30d5d3b387d7/tumblr_mm0sknsRae1qhejy8o1_500.jpg)


