Toggle light / dark theme

The news: A paralyzed man has walked again thanks to a brain-controlled exoskeleton suit. Within the safety of a lab setting, he was also able to control the suit’s arms and hands, using two sensors on his brain. The patient was a man from Lyon named Thibault, who fell 40 feet (12 meters) from a balcony four years ago, leaving him paralyzed from the shoulders down.

How it worked: Thibault had surgery to place two implants, each containing 64 electrodes, on the parts of the brain that control movement. Software then translated the brain waves read by these implants into instructions for movement. The development of the exoskeleton, by Clinatec and the University of Grenoble, is described in a paper in The Lancet this week.

The Carboncopies Foundation is starting The Brain Emulation Challenge.


With the availability of high throughput electron microscopy (EM), expansion microscopy (ExM), Calcium and voltage imaging, co-registered combinations of these techniques and further advancements, high resolution data sets that span multiple brain regions or entire small animal brains such as the fruit-fly Drosophila melanogaster may now offer inroads to expansive neuronal circuit analysis. Results of such analysis represent a paradigm change in the conduct of neuroscience.

So far, almost all investigations in neuroscience have relied on correlational studies, in which a modicum of insight gleaned from observational data leads to the formulation of mechanistic hypotheses, corresponding computational modeling, and predictions made using those models, so that experimental testing of the predictions offers support or modification of hypotheses. These are indirect methods for the study of a black box system of highly complex internal structure, methods that have received published critique as being unlikely to lead to a full understanding of brain function (Jonas and Kording, 2017).

Large scale, high resolution reconstruction of brain circuitry may instead lead to mechanistic explanations and predictions of cognitive function with meaningful descriptions of representations and their transformation along the full trajectory of stages in neural processing. Insights that come from circuit reconstructions of this kind, a reverse engineering of cognitive processes, will lead to valuable advances in neuroprosthetic medicine, understanding of the causes and effects of neurodegenerative disease, possible implementations of similar processes in artificial intelligence, and in-silico emulations of brain function, known as whole-brain emulation (WBE).

New in JNeurosci: Researchers identified a new subset of neurons in mice that morphine may interact with to influence behavior. This neuron population could be a promising new opioid addiction treatment target.

▶️


Opioid use disorder constitutes a major health and economic burden, but our limited understanding of the underlying neurobiology impedes better interventions. Alteration in the activity and output of dopamine (DA) neurons in the ventral tegmental area (VTA) contributes to drug effects, but the mechanisms underlying these changes remain relatively unexplored. We used translating ribosome affinity purification and RNA sequencing to identify gene expression changes in mouse VTA DA neurons following chronic morphine exposure. We found that expression of the neuropeptide neuromedin S (Nms) is robustly increased in VTA DA neurons by morphine. Using an NMS-iCre driver line, we confirmed that a subset of VTA neurons express NMS and that chemogenetic modulation of VTA NMS neuron activity altered morphine responses in male and female mice. Specifically, VTA NMS neuronal activation promoted morphine locomotor activity while inhibition reduced morphine locomotor activity and conditioned place preference (CPP). Interestingly, these effects appear specific to morphine, as modulation of VTA NMS activity did not affect cocaine behaviors, consistent with our data that cocaine administration does not increase VTA Nms expression. Chemogenetic manipulation of VTA neurons that express glucagon-like peptide, a transcript also robustly increased in VTA DA neurons by morphine, does not alter morphine-elicited behavior, further highlighting the functional relevance of VTA NMS-expressing neurons. Together, our current data suggest that NMS-expressing neurons represent a novel subset of VTA neurons that may be functionally relevant for morphine responses and support the utility of cell type-specific analyses like TRAP to identify neuronal adaptations underlying substance use disorder.

Significance Statement The opioid epidemic remains prevalent in the U.S., with more than 70% of overdose deaths caused by opioids. The ventral tegmental area (VTA) is responsible for regulating reward behavior. Although drugs of abuse can alter VTA dopaminergic neuron function, the underlying mechanisms have yet to be fully explored. This is partially due to the cellular heterogeneity of the VTA. Here, we identify a novel subset of VTA neurons that express the neuropeptide neuromedin S (NMS). Nms expression is robustly increased by morphine and alteration of VTA NMS neuronal activity is sufficient to alter morphine-elicited behaviors. Our findings are the first to implicate NMS-expressing neurons in drug behavior and thereby improve our understanding of opioid-induced adaptations in the VTA.

Bryan Johnson took ketamine and monitored his brain activity for 15 days, recording the experience and sharing about it on X.

Johnson is a 47-year-old longevity-obsessed entrepreneur, known for sharing biohacking content across his social media channels. His most recent health experiment involved treatment with the popularized horse tranquilizer.

As he shared in a tweet, he wanted to test what happens to the brain before, during, and after ketamine treatment.

Ketamine has gained popularity as a fast-acting treatment for depression, PTSD, and chronic pain. Unlike traditional antidepressants, it works quickly by targeting the brain’s glutamate system to restore neural connections.

To monitor his brain activity, Johnson used his self-invented Kernel Flow—a form of non-invasive brain interface technology worn on the head.

S brain activity followed fixed, predictable patterns. After, he found his once-rigid thinking to be more flexible, varied, and open to new beliefs or ways of thinking. + Johnson likened his brain on ketamine to a global air traffic network, where each airport—or brain region—has consistent flight routes and traffic volumes.

“After ketamine, my brain’s activity patterns were completely scrambled. Instead of predictable routes between major hubs, traffic was rerouted to smaller, less-used airports across the U.S., Europe, and Asia,” he said in a tweet.

Ancient texts warn of love turning into hatred, as seen in stories like Cain and Abel or “Et tu, Brute?” This talk explores the neurobiology of hatred based on the biology of love: the oxytocin system, attachment networks, and biobehavioral synchrony, which mature through mother-infant bonding and later support group solidarity and out-group hostility. Using this model, we developed Tools of Dialogue© for Israeli and Palestinian youth. After 8 sessions, participants showed reduced hostility, increased empathy, hormonal changes (lower cortisol, higher oxytocin), and lasting attitudes of compromise. Seven years later, these changes supported their peacebuilding efforts, showing how social synchrony can transform hatred into reciprocity and cooperation. Recorded on 02/14/2025. [Show ID: 40386]

Donate to UCTV to support informative & inspiring programming:
https://www.uctv.tv/donate.

Learn more about anthropogeny on CARTA’s website:
https://carta.anthropogeny.org/

Explore More Humanities on UCTV
(https://www.uctv.tv/humanities)
The humanities encourage us to think creatively and explore questions about our world. UCTV explores human culture through literature, history, ethics, philosophy, cinema and religion so we can better understand the human experience.

Explore More Science & Technology on UCTV
(https://www.uctv.tv/science)
Science and technology continue to change our lives. University of California scientists are tackling the important questions like climate change, evolution, oceanography, neuroscience and the potential of stem cells.

UCTV is the broadcast and online media platform of the University of California, featuring programming from its ten campuses, three national labs and affiliated research institutions. UCTV explores a broad spectrum of subjects for a general audience, including science, health and medicine, public affairs, humanities, arts and music, business, education, and agriculture. Launched in January 2000, UCTV embraces the core missions of the University of California — teaching, research, and public service – by providing quality, in-depth television far beyond the campus borders to inquisitive viewers around the world.

Research shows a high-magnesium diet could slow brain aging and lower dementia risk.

A study from the Australian National University shows that increased magnesium intake may help protect against age-related brain decline, particularly benefiting women.

Researchers analyzed data from over 6,000 participants aged 40–73, tracking their dietary magnesium consumption and its effects on brain volume and white matter lesions. Those consuming more than 550 mg of magnesium daily had brains appearing nearly a year younger by age 55 compared to those with lower intake.

The study also found that postmenopausal women experienced the greatest neuroprotective benefits, possibly due to magnesium’s anti-inflammatory properties.

Magnesium, found in foods like leafy greens, nuts, seeds, legumes, and whole grains, has long been known for its health benefits, but this research highlights its potential role in dementia prevention. With no cure for dementia, experts stress the importance of dietary strategies for brain health.

Study co-author Dr. Erin Walsh emphasizes the need for further research to confirm these findings and inform public health recommendations. Given the rising global prevalence of dementia, this study underscores the importance of modifiable lifestyle factors in reducing cognitive decline and promoting long-term brain health.


Forever chemicals affect your genes, according to a recent study.

Scientists have identified 11 genes that are consistently impacted by exposure to harmful chemicals that are found in everything from drinking water to food packaging.

Forever chemicals, also known as PFAS, are a global health concern. PFAS or “per-and poly-fluorinated alkyl substances” are also found in common household objects such as non-stick pans, stain or water-resistant materials as well as paints, carpets and clothes.

They are persistent in the environment and can accumulate in our bodies over time. They have been linked to a range of negative health outcomes, including impacting our genes. Some of the 11 genes that were impacted by PFAS are vital for neuronal health, and they showed altered expression levels after exposure to PFAS compounds. This discovery suggests these genes could serve as potential markers for detecting and monitoring PFAS-induced neurotoxicity.

However, the study also revealed that hundreds of other genes responded differently depending on the exact PFAS compound. While PFAS are known to accumulate in the brain due to their ability to cross the blood-brain barrier, this research provides new insights into the intricate ways these chemicals can interfere with gene expression and potentially disrupt our health. Concerns about PFAS stem from their potential health effects, which may include immune deficiency, liver cancer, and thyroid abnormalities. Due to their persistence and potential health risks, many governments are taking steps to regulate or ban the use of PFAS in various products.


These toxic chemicals are so common in consumer products and manufacturing that they’re everywhere—including inside our bodies.

In today’s AI news, Mercor, the AI recruiting startup founded by three 21-year-old Thiel Fellows, has raised $100 million in a Series B round, the company confirmed to TechCrunch. Menlo Park-based Felicis led the round, valuing Mercor at $2 billion — eight times its previous valuation. Existing investors Benchmark and General Catalyst, as well as DST Global and Menlo Ventures participated.

In other advancements, GPT-4.5 could arrive as soon as next week, as Microsoft gets ready to host OpenAI’s latest artificial intelligence models.

Microsoft engineers are currently readying server capacity for OpenAI’s upcoming GPT-4.5 and GPT-5 models. While OpenAI CEO Sam Altman acknowledged recently that GPT-4.5 will launch within a matter of weeks.

Then, OpenAI’s astounding growth rate potential is luring possible investors as questions loom over whether the startup will go public. “In terms of a multiple to pay for stock like ours, there’s incredible interest at the moment,” finance chief Sarah Friar told CNBC’s David Faber on Thursday. Its future growth potential has also enabled OpenAI to “achieve valuations that are on par with the growth rate of the scale” it is reaching.

S internal testing, it could mark a meaningful step forward for an all-purpose multimodal AI that can operate interactively in both real and digital spaces. + In videos, Figure is introducing Helix, a generalist Vision-Language-Action (VLA) model that unifies perception, language understanding, and learned control to overcome multiple longstanding challenges in robotics. A detailed report on Helix can be found in text accompanying the video.

Then, in this episode of Moonshots Peter Diamandis is joined by a panel of leaders in the session Transforming Business with AI: Opportunity or Overload? at Miami FII. Panelists include: Prem Akkaraju, CEO, Stability AI Ramin Hasani, Co-Founder & CEO, Liquid AI Jack Hidary, CEO, SandboxAQ Jim Keller, CEO, Tenstorrent Alexander Sukharevsky, Senior Partner & Managing Partner, QuantumBlack, AI, McKinsey & Company.

Meanwhile, AI is evolving into a mysterious new form of intelligence — powerful yet flawed, capable of remarkable feats but still far from human-like reasoning and efficiency. To truly understand it and unlock its potential, we need a new science of intelligence that combines neuroscience, AI and physics, says neuroscientist and Stanford professor Surya Ganguli.