Posted on by Dr. Francis Collins
It’s a race against time when someone suffers a stroke caused by a blockage of a blood vessel supplying the brain. Unless clot-busting treatment is given within a few hours after symptoms appear, vast numbers of the brain’s neurons die, often leading to paralysis or other disabilities. It would be great to have a way to replace those lost neurons. Thanks to gene therapy, some encouraging strides are now being made.
In a recent study in Molecular Therapy, researchers reported that, in their mouse and rat models of ischemic stroke, gene therapy could actually convert the brain’s support cells into new, fully functional neurons . Even better, after gaining the new neurons, the animals had improved motor and memory skills.
For the team led by Gong Chen, Penn State, University Park, the quest to replace lost neurons in the brain began about a decade ago. While searching for the right approach, Chen noticed other groups had learned to reprogram fibroblasts into stem cells and make replacement neural cells.
As innovative as this work was at the time, it was performed mostly in lab Petri dishes. Chen and his colleagues thought, why not reprogram cells already in the brain?
They turned their attention to the brain’s billions of supportive glial cells. Unlike neurons, glial cells divide and replicate. They also are known to survive and activate following a brain injury, remaining at the wound and ultimately forming a scar. This same process had also been observed in the brain following many types of injury, including stroke and neurodegenerative conditions such as Alzheimer’s disease.
To Chen’s NIH-supported team, it looked like glial cells might be a perfect target for gene therapies to replace lost neurons. As reported about five years ago, the researchers were on the right track .
The Chen team showed it was possible to reprogram glial cells in the brain into functional neurons. They succeeded using a genetically engineered retrovirus that delivered a single protein called NeuroD1. It’s a neural transcription factor that switches genes on and off in neural cells and helps to determine their cell fate. The newly generated neurons were also capable of integrating into brain circuits to repair damaged tissue.
There was one major hitch: the NeuroD1 retroviral vector only reprogrammed actively dividing glial cells. That suggested their strategy likely couldn’t generate the large numbers of new cells needed to repair damaged brain tissue following a stroke.
Fast-forward a couple of years, and improved adeno-associated viral vectors (AAV) have emerged as a major alternative to retroviruses for gene therapy applications. This was exactly the breakthrough that the Chen team needed. The AAVs can reprogram glial cells whether they are dividing or not.
In the new study, Chen’s team, led by post-doc Yu-Chen Chen, put this new gene therapy system to work, and the results are quite remarkable. In a mouse model of ischemic stroke, the researchers showed the treatment could regenerate about a third of the total lost neurons by preferentially targeting reactive, scar-forming glial cells. The conversion of those reactive glial cells into neurons also protected another third of the neurons from injury.
Studies in brain slices showed that the replacement neurons were fully functional and appeared to have made the needed neural connections in the brain. Importantly, their studies also showed that the NeuroD1 gene therapy led to marked improvements in the functional recovery of the mice after a stroke.
In fact, several tests of their ability to make fine movements with their forelimbs showed about a 60 percent improvement within 20 to 60 days of receiving the NeuroD1 therapy. Together with study collaborator and NIH grantee Gregory Quirk, University of Puerto Rico, San Juan, they went on to show similar improvements in the ability of rats to recover from stroke-related deficits in memory.
While further study is needed, the findings in rodents offer encouraging evidence that treatments to repair the brain after a stroke or other injury may be on the horizon. In the meantime, the best strategy for limiting the number of neurons lost due to stroke is to recognize the signs and get to a well-equipped hospital or call 911 right away if you or a loved one experience them. Those signs include: sudden numbness or weakness of one side of the body; confusion; difficulty speaking, seeing, or walking; and a sudden, severe headache with unknown causes. Getting treatment for this kind of “brain attack” within four hours of the onset of symptoms can make all the difference in recovery.
 A NeuroD1 AAV-Based gene therapy for functional brain repair after ischemic injury through in vivo astrocyte-to-neuron conversion. Chen Y-C et al. Molecular Therapy. Published online September 6, 2019.
 In vivo direct reprogramming of reactive glial cells into functional neurons after brain injury and in an Alzheimer’s disease model. Guo Z, Zhang L, Wu Z, Chen Y, Wang F, Chen G. Cell Stem Cell. 2014 Feb 6;14(2):188-202.
Stroke (National Heart, Lung, and Blood Institute/NIH)
Gene Therapy (National Human Genome Research Institute/NIH)
Chen Lab (Penn State, University Park)
NIH Support: National Institute on Aging; National Institute of Mental Health
Posted on by Dr. Francis Collins
It’s not every day you get to perform with one of the finest voices on the planet. What an honor it was to join renowned opera singer Renée Fleming back in May for a rendition of “How Can I Keep from Singing?” at the NIH’s J. Edward Rall Cultural Lecture. Yet our duet was so much more. Between the song’s timeless message and Renée’s matchless soprano, the music filled me with a profound sense of joy, like being briefly lifted outside myself into a place of beauty and well-being. How does that happen?
Indeed, the benefits of music for human health and well-being have long been recognized. But biomedical science still has a quite limited understanding of music’s mechanisms of action in the brain, as well as its potential to ease symptoms of an array of disorders including Parkinson’s disease, stroke, and post-traumatic stress disorder (PTSD). In a major step toward using rigorous science to realize music’s potential for improving human health, NIH has just awarded $20 million over five years to support the first research projects of the Sound Health initiative. Launched a couple of years ago, Sound Health is a partnership between NIH and the John F. Kennedy Center for the Performing Arts, in association with the National Endowment for the Arts.
With support from 10 NIH institutes and centers, the Sound Health awardees will, among other things, study how music might improve the motor skills of people with Parkinson’s disease. Previous research has shown that the beat of a metronome can steady the gait of someone with Parkinson’s disease, but more research is needed to determine exactly why that happens.
Other fascinating areas to be explored by the Sound Health awardees include:
• Assessing how active music interventions, often called music therapies, affect multiple biomarkers that correlate with improvement in health status. The aim is to provide a more holistic understanding of how such interventions serve to ease cancer-related stress and possibly even improve immune function.
• Investigating the effects of music on the developing brain of infants as they learn to talk. Such work may be especially helpful for youngsters at high risk for speech and language disorders.
• Studying synchronization of musical rhythm as part of social development. This research will look at how this process is disrupted in children with autism spectrum disorder, possibly suggesting ways of developing music-based interventions to improve communication.
• Examining the memory-related impacts of repeated exposures to a certain song or musical phrase, including those “earworms” that get “stuck” in our heads. This work might tell us more about how music sometimes serves as a cue for retrieving associated memories, even in people whose memory skills are impaired by Alzheimer’s disease or other cognitive disorders.
• Tracing the developmental timeline—from childhood to adulthood—of how music shapes the brain. This will include studying how musical training at different points on that timeline may influence attention span, executive function, social/emotional functioning, and language skills.
We are fortunate to live in an exceptional time of discovery in neuroscience, as well as an extraordinary era of creativity in music. These Sound Health grants represent just the beginning of what I hope will be a long and productive partnership that brings these creative fields together. I am convinced that the power of science holds tremendous promise for improving the effectiveness of music-based interventions, and expanding their reach to improve the health and well-being of people suffering from a wide variety of conditions.
The Soprano and the Scientist: A Conversation About Music and Medicine, (National Public Radio, June 2, 2017)
NIH Workshop on Music and Health, January 2017
Sound Health (NIH)
NIH Support: National Center for Complementary and Integrative Health; National Eye Institute; National Institute on Aging; National Institute on Alcohol Abuse and Alcoholism; National Institute on Deafness and Other Communication Disorders; National Institute of Mental Health; National Institute of Neurological Disorders and Stroke; National Institute of Nursing Research; Office of Behavioral and Social Sciences Research; Office of the Director
Posted on by Dr. Francis Collins
Credit: Adapted from Nima Mesgarani, Columbia University’s Zuckerman Institute, New York
Computers have learned to do some amazing things, from beating the world’s ranking chess masters to providing the equivalent of feeling in prosthetic limbs. Now, as heard in this brief audio clip counting from zero to nine, an NIH-supported team has combined innovative speech synthesis technology and artificial intelligence to teach a computer to read a person’s thoughts and translate them into intelligible speech.
Turning brain waves into speech isn’t just fascinating science. It might also prove life changing for people who have lost the ability to speak from conditions such as amyotrophic lateral sclerosis (ALS) or a debilitating stroke.
When people speak or even think about talking, their brains fire off distinctive, but previously poorly decoded, patterns of neural activity. Nima Mesgarani and his team at Columbia University’s Zuckerman Institute, New York, wanted to learn how to decode this neural activity.
Mesgarani and his team started out with a vocoder, a voice synthesizer that produces sounds based on an analysis of speech. It’s the very same technology used by Amazon’s Alexa, Apple’s Siri, or other similar devices to listen and respond appropriately to everyday commands.
As reported in Scientific Reports, the first task was to train a vocoder to produce synthesized sounds in response to brain waves instead of speech . To do it, Mesgarani teamed up with neurosurgeon Ashesh Mehta, Hofstra Northwell School of Medicine, Manhasset, NY, who frequently performs brain mapping in people with epilepsy to pinpoint the sources of seizures before performing surgery to remove them.
In five patients already undergoing brain mapping, the researchers monitored activity in the auditory cortex, where the brain processes sound. The patients listened to recordings of short stories read by four speakers. In the first test, eight different sentences were repeated multiple times. In the next test, participants heard four new speakers repeat numbers from zero to nine.
From these exercises, the researchers reconstructed the words that people heard from their brain activity alone. Then the researchers tried various methods to reproduce intelligible speech from the recorded brain activity. They found it worked best to combine the vocoder technology with a form of computer artificial intelligence known as deep learning.
Deep learning is inspired by how our own brain’s neural networks process information, learning to focus on some details but not others. In deep learning, computers look for patterns in data. As they begin to “see” complex relationships, some connections in the network are strengthened while others are weakened.
In this case, the researchers used the deep learning networks to interpret the sounds produced by the vocoder in response to the brain activity patterns. When the vocoder-produced sounds were processed and “cleaned up” by those neural networks, it made the reconstructed sounds easier for a listener to understand as recognizable words, though this first attempt still sounds pretty robotic.
The researchers will continue testing their system with more complicated words and sentences. They also want to run the same tests on brain activity, comparing what happens when a person speaks or just imagines speaking. They ultimately envision an implant, similar to those already worn by some patients with epilepsy, that will translate a person’s thoughts into spoken words. That might open up all sorts of awkward moments if some of those thoughts weren’t intended for transmission!
Along with recently highlighted new ways to catch irregular heartbeats and cervical cancers, it’s yet another remarkable example of the many ways in which computers and artificial intelligence promise to transform the future of medicine.
 Towards reconstructing intelligible speech from the human auditory cortex. Akbari H, Khalighinejad B, Herrero JL, Mehta AD, Mesgarani N. Sci Rep. 2019 Jan 29;9(1):874.
Advances in Neuroprosthetic Learning and Control. Carmena JM. PLoS Biol. 2013;11(5):e1001561.
Nima Mesgarani (Columbia University, New York)
NIH Support: National Institute on Deafness and Other Communication Disorders; National Institute of Mental Health