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Gut microbes influence how rat brains react to opioids

“Like you often have to do in science, we first hit the problem with a hammer to see how the system breaks, then backtrack from there,” Simpson said.

By that she means that in order to determine if the gut microbiome influenced drug addiction, they first needed to compare an organism with a normal gut microbiome to one without. To do that, the researchers gave some rats antibiotics that depleted 80 percent of their gut microbes. All of the rats — those with and without gut microbes — were dependent on the prescription opioid pain reliever oxycodone. Then some of the rats from each group went into withdrawal.

“To me, the most surprising thing was that the rats all seemed the same on the surface,” George said. “There weren’t any major changes in the pain-relieving effect of opioids, or symptoms of withdrawal or other behavior between the rats with and without gut microbes.”

It wasn’t until the team looked at the rats’ brains that they saw a significant difference. The typical pattern of neuron recruitment to different parts of the brain during intoxication and withdrawal was disrupted in rats that had been treated with antibiotics, and thus lacked most of their gut microbes. Most notably, during intoxication, rats with depleted gut microbes had more activated neurons in the regions of the brain that regulate stress and pain (periaqueductal gray, locus coeruleus) and regions involved in opioid intoxication and withdrawal (central amygdala, basolateral amygdala). During withdrawal, microbe-depleted rats had fewer activated neurons in the central amygdala, as compared to rats with normal gut microbiomes.

“It was many months of counting black dots,” Simpson said. “But in the end it became clear that, at least in rats, gut microbes alter the way the brain responds to drugs.”

That shift could affect behavior, she explained, because a decrease in neurons recruited in the central amygdala could result in fewer withdrawal symptoms, which can in turn lead to a higher risk of drug abuse.


As a now-healthy graduate student, Simpson first worked on techniques to visualize molecules in the brain. But she couldn’t shake her interest in the gut microbiome and its connections to the brain.

NMN Restores Brain Function

A group of researchers has demonstrated that treatment with NMN, a precursor of NAD+, restores neurovascular coupling (NVC) in aged mice [1]. Since NVC deficiency seems to be a major factor in the age-related decline of cognitive and motor functions, this discovery presents exciting new possibilities for longevity research.

Neurovascular coupling

While the human brain is the evolutionary advantage that brought us to where we are today, operating this machine requires considerable resources. Our cerebral blood flow (CBF) accounts for 15% of cardiac output and 20% of resting total oxygen consumption, even though the brain itself comprises just 2% of body mass. CBF has to be constantly redirected to the regions of the brain that are currently active, and NVC is the mechanism in charge of this complex operation. Importantly, the CBF/cardiac output ratio decreases with age [2].

AI-Powered Rat Could Be a Valuable New Tool for Neuroscience

Can we study AI the same way we study lab rats? Researchers at DeepMind and Harvard University seem to think so. They built an AI-powered virtual rat that can carry out multiple complex tasks. Then, they used neuroscience techniques to understand how its artificial “brain” controls its movements.

Today’s most advanced AI is powered by artificial neural networks —machine learning algorithms made up of layers of interconnected components called “neurons” that are loosely inspired by the structure of the brain. While they operate in very different ways, a growing number of researchers believe drawing parallels between the two could both improve our understanding of neuroscience and make smarter AI.

Now the authors of a new paper due to be presented this week at the International Conference on Learning Representations have created a biologically accurate 3D model of a rat that can be controlled by a neural network in a simulated environment. They also showed that they could use neuroscience techniques for analyzing biological brain activity to understand how the neural net controlled the rat’s movements.

Brain implant and signal decoder have done the impossible and reversed paralysis

Paralysis used to mean a life sentence of immobility with no way out—until now.

Back in 2010, Ian Burkhart suffered a devastating injury that would leave him mostly paralyzed. Even though he was still able to move his shoulders and elbows, he had lost sensation in his hands. That was until Patrick Ganzer at Battelle Memorial Institute fast-forwarded biotech into the future by developing a brain implant that would turn Burkhart’s life around. When the implant connects to a specialized brain-computer interface, it does something that has never been done before and has restored both movement and touch in his right hand.

Google Glass helps kids with autism read facial expressions

Children with autism were able to improve their social skills by using a smartphone app paired with Google Glass to help them understand the emotions conveyed in people’s facial expressions, according to a pilot study by researchers at the Stanford University School of Medicine.

Prior to participating in the study, Alex, 9, found it overwhelming to look people in the eye. Gentle encouragement from his mother, Donji Cullenbine, hadn’t helped. “I would smile and say things like, ‘You looked at me three times today!’ But it didn’t really move the bar,” she said. Using Google Glass transformed how Alex felt about looking at faces, Cullenbine said. “It was a game environment in which he wanted to win — he wanted to guess right.”

The therapy, described in findings published online Aug. 2 in npj Digital Medicine, uses a Stanford-designed app that provides real-time cues about other people’s facial expressions to a child wearing Google Glass. The device, which was linked with a smartphone through a local wireless network, consists of a glasses-like frame equipped with a camera to record the wearer’s field of view, as well as a small screen and a speaker to give the wearer visual and audio information. As the child interacts with others, the app identifies and names their emotions through the Google Glass speaker or screen. After one to three months of regular use, parents reported that children with autism made more eye contact and related better to others.

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