This week, we're diving into recent research that sheds light on a new form of brain plasticity involving changes in the insulation of nerve fibers — called myelin. It turns out that myelin plasticity is implicated in a number of serious conditions, from epilepsy to drug abuse and addiction.

We're excited to bring back two previous guests on the show to share their insights on this previously unknown form of plasticity: Stanford psychiatry professor Rob Malenka (S1 E1 - Psychedelics and Empathy), a pioneer in the study of synaptic plasticity and addiction, and neuro-oncologist Michelle Monje (S1 E12 - Brain Fog), who made some of the very first observations of myelin plasticity in the brain, essentially founding this field.

Together, they discuss their recent findings on the role of myelin plasticity in opioid addiction and its implications for understanding addictive behaviors.

Get ready to nerd out as we uncover a new angle on our brain's remarkable capacity for change.

Learn More

Myelination in the brain may be key to ‘learning’ opioid addiction | Stanford Medicine (2024)

Adaptive and maladaptive myelination in health and disease | Nature Reviews Neurology (2022)

Brain plasticity promotes worsening of epileptic seizures, study finds | Stanford Medicine (2022)

The Brain Learns in Unexpected Ways | Scientific American (2020)

Brain boosting: It's not just grey matter that matters | New Scientist (2015)

Neural activity promotes brain plasticity through myelin growth, researchers find | News Center | Stanford Medicine (2014)

Episode Credits
This episode was produced by Michael Osborne, with production assistance by Morgan Honaker, and hosted by Nicholas Weiler. Art by Aimee Garza.

Send us a text!

Thanks for listening! If you're enjoying our show, please take a moment to give us a review on your podcast app of choice and share this episode with your friends. That's how we grow as a show and bring the stories of the frontiers of neuroscience to a wider audience.

Learn more about the Wu Tsai Neurosciences Institute at Stanford and follow us on Twitter, Facebook, and LinkedIn.

-- We're re-releasing our conversation with Carla Shatz, one of our favorites from the archive, which comes up all the time on the show in the context of brain plasticity and aging. Enjoy, and see you next time! -NW --

When we're kids, our brains are amazing at learning. We absorb information from the outside world with ease, and we can adapt to anything. But as we age, our brains become a little more fixed. Our brain circuits become a little less flexible.

You may have heard of a concept called neuroplasticity, our brain's ability to change or rewire itself. This is of course central to learning and memory, but it's also important for understanding a surprisingly wide array of medical conditions, including things like epilepsy, depression, even Alzheimer's disease.

Today's guest, Carla Shatz, is a pioneer in understanding how our brains are sculpted by our experiences. She's credited with coining the phrase neurons that fire together, wire together. Her work over the past 40 years is foundational to how we understand the brain today.

So I was excited to talk to Shatz about our brain's capacity for change, and I started off by asking about this sort of simple question, why exactly do we have this learning superpower as kids to do things like pick up languages and why does it go away?

Shatz is Sapp Family Provostial Professor of Biology and of Neurobiology and the Catherine Holman Johnson director of Stanford Bio-X.

Learn More

• In conversation with Carla Shatz (Nature Neuroscience)
• Carla Shatz, her breakthrough discovery in vision and the developing brain (Stanford Medicine Magazine)
• Making an Old Brain Young | Carla Shatz (TEDxStanford)
• Carla Shatz Kavli Prize Laureate Lecture
• Stanford scientists discover a protein in nerves that determines which brain connections stay and which go (Wu Tsai Neurosciences Institute)

Episode Credits
This episode was produced by Webby award-winning producer Michael Osborne, with production assistance by Morgan Honaker, and hosted by Nicholas Weiler. Art by Aimee Garza.

Send us a text!

Thanks for listening! If you're enjoying our show, please take a moment to give us a review on your podcast app of choice and share this episode with your friends. That's how we grow as a show and bring the stories of the frontiers of neuroscience to a wider audience.

Learn more about the Wu Tsai Neurosciences Institute at Stanford and follow us on Twitter, Facebook, and LinkedIn.

Hi everyone — quick programming announcement. As we head into summer, we'll be moving to an every-other-week cadence as we prepare more conversations from the frontiers of neuroscience. I'm very excited about what we're working on for you, so stay tuned!

In the meantime, we'd love to hear from you! Email us at neuronspodcast@stanford.edu with your thoughts, praise, critiques, or just to say hello.

That's all for now. See you next time!

Send us a text!

Thanks for listening! If you're enjoying our show, please take a moment to give us a review on your podcast app of choice and share this episode with your friends. That's how we grow as a show and bring the stories of the frontiers of neuroscience to a wider audience.

Learn more about the Wu Tsai Neurosciences Institute at Stanford and follow us on Twitter, Facebook, and LinkedIn.

The powerful new generation of AI tools that has come out over the past few years — DALL-E, ChatGPT, Claude, Gemini, and the rest — have blown away our old ideas about what AI can do and raised questions about what it means for computers to start acting... intelligent?

This week, we ask what the rise of these systems might teach us about our own biological intelligence — and vice versa. What does modern neuroscience have to say about how AI could become as flexible, efficient, and resilient as the human brain.

Few people are better positioned to speak to the intersection of neuroscience and AI than today's guest: Surya Ganguli.

Ganguli's lab produced some of the first diffusion models — which are at the foundation of today's AI revolution — and is now working to understand how complex emergent properties arise from biological and artificial neural networks.

Ganguli is a member of the Neuroscience Theory Center at the Wu Tsai Neurosciences Institute, a Senior Fellow at Stanford's Institute for Human-Centered Artificial Intelligence (HAI), and an associate professor in Stanford's Department of Applied Physics.

Further Reading

• Interpreting the retinal neural code for natural scenes: From computations to neurons (Neuron, 2023)
• Beyond neural scaling laws: beating power law scaling via data pruning (arXiv, 2023)
• Cortical layer-specific critical dynamics triggering perception (Science, 2019)
  • Stanford team stimulates neurons to induce particular perceptions in mice's minds (Stanford Medicine, 2019)
• What DALL-E reveals about human creativity (Wu Tsai Neurosciences Institute, 2023)

Visit us!
Want to learn more about AI and Neuroscience? Join us at Wu Tsai Neuro's annual symposium on October 17, 2024, which will showcase the frontiers of biological and artificial intelligence research. (More details coming soon!)

Episode credits
This episode was produced by Michael Osborne at 14th Street Studios, with production assistance by Morgan Honaker. Our logo is by Aimee Garza. The show is hosted by Nicholas Weiler at Stanford's Wu Tsai Neurosciences Institute.

Send us a text!

Thanks for listening! If you're enjoying our show, please take a moment to give us a review on your podcast app of choice and share this episode with your friends. That's how we grow as a show and bring the stories of the frontiers of neuroscience to a wider audience.

Learn more about the Wu Tsai Neurosciences Institute at Stanford and follow us on Twitter, Facebook, and LinkedIn.

At some point in our lives, we all struggle with memory — learning a new name, remembering that book you were reading just yesterday or that word on the tip of your tongue.

So what can neuroscience teach us about why we remember, why we forget, and how we might even improve our memories?

To answer this question, I spoke with neuroscientist Anthony Wagner, a memory expert in Stanford's Department of Psychology.

Learn More
Wagner lab website

• Recent lab publications
• Anthony's new book: Brain Sciences for Lawyers, Judges, and Policymakers (2024). Jones, O. D., Schall, J. D., Shen, F. X., Hoffman, M. B., & Wagner, A. D. Oxford University Press. Order

Stress thwarts our ability to plan ahead by disrupting how we use memory, Stanford study finds (Stanford News 2020)

Stanford researchers link poor memory to attention lapses and media multitasking (Stanford News, 2020)

Episode credits
This episode was produced by Michael Osborne at 14th Street Studios, with production assistance by Morgan Honaker. Our logo is by Aimee Garza. The show is hosted by Nicholas Weiler at Stanford's Wu Tsai Neurosciences Institute.

Send us a text!

Thanks for listening! If you're enjoying our show, please take a moment to give us a review on your podcast app of choice and share this episode with your friends. That's how we grow as a show and bring the stories of the frontiers of neuroscience to a wider audience.

Learn more about the Wu Tsai Neurosciences Institute at Stanford and follow us on Twitter, Facebook, and LinkedIn.

Today, we're going to talk about how psychedelics alter our perception of reality and what that says about... reality!

Welcome to part two of our conversation with Stanford anesthesiologist and psychedelics researcher Boris Heifets!

Last time, we talked with Boris about the question of why psychedelics help people with mental health disorders.

This week, we're going to dive into a different question, which is to explore how psychedelics work in the brain. How are they able to alter something as fundamental as our perceptions of reality — and could understanding these effects teach us about the nature of our everyday perceptions?

Learn more:

• Review: Therapeutic mechanisms of psychedelics and entactogens (Heifets and Olsen, 2024)
• As psychedelics near approval, there’s no consensus on how they work (STAT News, 2023)
• How do psychedelics work? (Carhart-Harris, 2019)
• Heifets Lab website

Episode credits
This episode was produced by Michael Osborne at 14th Street Studios, with production assistance by Morgan Honaker. Our logo is by Aimee Garza. The show is hosted by Nicholas Weiler at Stanford's Wu Tsai Neurosciences Institute.

Send us a text!

Thanks for listening! If you're enjoying our show, please take a moment to give us a review on your podcast app of choice and share this episode with your friends. That's how we grow as a show and bring the stories of the frontiers of neuroscience to a wider audience.

Learn more about the Wu Tsai Neurosciences Institute at Stanford and follow us on Twitter, Facebook, and LinkedIn.

Psychedelics are a hot topic in psychiatry today. They’re producing dramatic reversals for patients with severe depression, PTSD, and other mental health conditions. But scientists still have fundamental questions about why these drugs are so effective.

For example, is the "trip" even necessary? Some think it is not and are working to design drugs with similar brain chemistry but no psychoactive effects — “Taking the trip out of the drug.”

Others suspect that many of the benefits of psychedelics can be attributed to hype and expectation: People expect to get better, so they do.

Normally scientists control for placebo using a blinded study where patients don't know if they're getting the real treatment or a sugar pill. But how are you going to do this with mind-altering substances? Patients are probably going to figure out pretty quickly whether they got a sugar cube with or without LSD.

Today's guest, Stanford anesthesiologist Boris Heifets, has come up with a particularly clever strategy to tease apart the psychedelic experience, biochemistry, hype and placebo.

Listen for the whole story!

Learn more:

• The Heifets Lab at Stanford Medicine
• The Early Days of a Psychedelic Resurgence? (Stanford Medicine Magazine, 2024)

Depression, ketamine & anesthesia:

• Randomized trial of ketamine masked by surgical anesthesia in patients with depression (Nature 2023 - paywall)
• Ketamine’s effect on depression may hinge on hope (Stanford Medicine, 2023)

Anesthetic dreams and trauma recovery:

• Case report 1: dreaming & knife attack (A & A Practice, 2022 - paywall)
• Case report 2: dreaming & PTSD (American Journal of Psychiatry, 2024)
• Could anesthesia-induced dreams wipe away trauma? (Stanford Medicine, 2024)
• Video: Mothers with PTSD following their sons' deaths talk about dreaming of their sons under anesthesia (Heifets Lab, 2024 — content advisory)

Related episodes:

• S1 E1: Psychedelics and Empathy
• S3 E3: OCD and Ketamine

Episode credits
This episode was produced by

Send us a text!

Thanks for listening! If you're enjoying our show, please take a moment to give us a review on your podcast app of choice and share this episode with your friends. That's how we grow as a show and bring the stories of the frontiers of neuroscience to a wider audience.

Learn more about the Wu Tsai Neurosciences Institute at Stanford and follow us on Twitter, Facebook, and LinkedIn.

This week on From Our Neurons to Yours, we're talking about the neuroscience of climate change with neuroeconomist Nik Sawe.

If you follow the science or the news, you know how big of a risk climate change is. Storms, coastal flooding, heat waves, extinctions, mass migration — the list goes on.

But — as you can probably also appreciate — it’s really hard to properly perceive that risk. It’s much easier to focus on today’s emergency, this week’s looming deadline, this quarter’s economic forecast — where the risks are objectively much smaller, but feel more pressing.

This is where neuroscience comes in: Why are our brains so bad at perceiving this existential, long-term risk to our society and our planet? And are there ways we could work with our brains' limitations to improve our decision-making around environmental issues and the future more broadly?

To answer this question, we spoke with Nik Sawe, a neuro-economist who uses brain imaging to study environmental decision making in the lab of Brian Knutson in the Stanford Department of Psychology. Nik is also a policy analyst at the think tank Energy Innovation, where he is working on policy avenues to reduce carbon emissions in the industrial sector.

References

• Parks donation FMRI study
• Ecolabeling/energy-efficient purchasing FMRI study
• "Price of your soul" study by Greg Berns
• Dan Kahan science literacy/numeracy and climate change risk study
• Brain stimulation for perspective-taking of future generations

Episode Credits

This episode was produced by Michael Osborne at 14th Street Studios, with production assistance by Morgan Honaker. Our logo is by Aimee Garza. The show is hosted by Nicholas Weiler at Stanford's Wu Tsai Neurosciences Institute and the Knight Initiative for Brain Resilience.

Send us a text!

Thanks for listening! If you're enjoying our show, please take a moment to give us a review on your podcast app of choice and share this episode with your friends. That's how we grow as a show and bring the stories of the frontiers of neuroscience to a wider audience.

Learn more about the Wu Tsai Neurosciences Institute at Stanford and follow us on Twitter, Facebook, and LinkedIn.