The Abstract

#14: How Decoding the Brain Can Heal Anxiety and Restore Sensations


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What is humankind’s biggest scientific mystery to date? Humankind. 


What sets us apart from our neighboring species is an organ that we’re only beginning to understand: the human brain. 


While modern, scientific understanding of this complex network of neurons between our ears really only began in the few decades, we’ve already learned a lot about the body’s control center -- and have been given a lot to think about.


Welcome to the Abstract podcast from Inverse. I’m Tanya Bustos, your host.


Our first story is about groundbreaking research in brain-computer interfaces that’s offering new hope for those who have lost their sense of touch. By decoding neural signals from the brain, researchers were able to create movement and sensory perception in paralyzed limbs. Innovations like these in sense-restoring technology could be life-changing for spinal cord patients, and make a devastating loss of sensation reversible.


Our second story tackles a different kind of feeling  — our emotions. By analyzing various neural regions in marmosets, scientists have untangled the root of anxiety in the human brain, unlocking the door to faster and more effective anxiety treatment in the future. 


Read more at Inverse.com:


BRAIN RESTORES SENSE OF TOUCH:

https://www.inverse.com/innovation/computer-restores-sense-of-touch


WHY SOME PEOPLE ARE MORE PRONE TO ANXIETY

https://www.inverse.com/science/why-are-some-people-more-prone-to-anxiety


Find links to all the stories discussed in today’s episode at inverse.com/the-abstract


Subscribe to Inverse Daily, our free weekday email with the latest science and innovation news at inverse.com/newsletter


Follow Ali Pattillo on Twitter: https://twitter.com/alipattillo


Follow Sarah Wells on Twitter: https://twitter.com/SarahESWells


Follow Inverse on Twitter: https://twitter.com/inversedotcom


We're hosted and produced by Tanya Bustos https://twitter.com/tanyapodcasts


Thank you for listening!




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The AbstractBy Inverse

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