Brain coral metaphorically represents the concept of growing organoids in a dish that may eventually attain consciousness--if scientists can first determine what that means.
Few images are more uncanny than that of a brain without a body, fully sentient but afloat in sterile isolation. Such specters have spooked the speculatively-minded since the seventeenth century, when René Descartes declared, "I think, therefore I am."
Since August 29, 2019, the prospect of a bodiless but functional brain has begun to seem far less fantastical.
In Meditations on First Philosophy (1641), the French penseur spins a chilling thought experiment: he imagines "having no hands or eyes, or flesh, or blood or senses," but being tricked by a demon into believing he has all these things, and a world to go with them. A disembodied brain itself becomes a demon in the classic young-adult novel A Wrinkle in Time (1962), using mind control to subjugate a planet called Camazotz. In the sci-fi blockbuster The Matrix (1999), most of humanity endures something like Descartes' nightmare—kept in womblike pods by their computer overlords, who fill the captives' brains with a synthetized reality while tapping their metabolic energy as a power source.
Since August 29, 2019, however, the prospect of a bodiless but functional brain has begun to seem far less fantastical. On that date, researchers at the University of California, San Diego published a study in the journal Cell Stem Cell, reporting the detection of brainwaves in cerebral organoids—pea-size "mini-brains" grown in the lab. Such organoids had emitted random electrical impulses in the past, but not these complex, synchronized oscillations. "There are some of my colleagues who say, 'No, these things will never be conscious,'" lead researcher Alysson Muotri, a Brazilian-born biologist, told The New York Times. "Now I'm not so sure."
Alysson Muotri has no qualms about his creations attaining consciousness as a side effect of advancing medical breakthroughs.
(Credit: ZELMAN STUDIOS)
Muotri's findings—and his avowed ambition to push them further—brought new urgency to simmering concerns over the implications of brain organoid research. "The closer we come to his goal," said Christof Koch, chief scientist and president of the Allen Brain Institute in Seattle, "the more likely we will get a brain that is capable of sentience and feeling pain, agony, and distress." At the annual meeting of the Society for Neuroscience, researchers from the Green Neuroscience Laboratory in San Diego called for a partial moratorium, warning that the field was "perilously close to crossing this ethical Rubicon and may have already done so."
Yet experts are far from a consensus on whether brain organoids can become conscious, whether that development would necessarily be dreadful—or even how to tell if it has occurred.
So how worried do we need to be?
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An organoid is a miniaturized, simplified version of an organ, cultured from various types of stem cells. Scientists first learned to make them in the 1980s, and have since turned out mini-hearts, lungs, kidneys, intestines, thyroids, and retinas, among other wonders. These creations can be used for everything from observation of basic biological processes to testing the effects of gene variants, pathogens, or medications. They enable researchers to run experiments that might be less accurate using animal models and unethical or impractical using actual humans. And because organoids are three-dimensional, they can yield insights into structural, developmental, and other matters that an ordinary cell culture could never provide.
In 2006, Japanese biologist Shinya Yamanaka developed a mix of proteins that turned skin cells into "pluripotent" stem cells, which could subsequently be transformed into neurons, muscle cells, or blood cells. (He later won a Nobel Prize for his efforts.) Developmental biologist Madeline Lancaster, then a post-doctoral student at the Institute of Molecular Biotechnology in Vienna, adapted that technique to grow the first brain organoids in 2013. Other researchers soon followed suit, cultivating specialized mini-brains to study disorders ranging from microcephaly to schizophrenia.
Muotri, now a youthful 45-year-old, was among the boldest of these pioneers. His team revealed the process by which Zika virus causes brain damage, and showed that sofosbuvir, a drug previously approved for hepatitis C, protected organoids from infection. He persuaded NASA to fly his organoids to the International Space Station, where they're being used to trace the impact of microgravity on neurodevelopment. He grew brain organoids using cells implanted with Neanderthal genes, and found that their wiring differed from organoids with modern DNA.
Like the latter experiment, Muotri's brainwave breakthrough emerged from a longtime obsession with neuroarchaeology. "I wanted to figure out how the human brain became unique," he told me in a phone interview. "Compared to other species, we are very social. So I looked for conditions where the social brain doesn't function well, and that led me to autism." He began investigating how gene variants associated with severe forms of the disorder affected neural networks in brain organoids.
Tinkering with chemical cocktails, Muotri and his colleagues were able to keep their organoids alive far longer than earlier versions, and to culture more diverse types of brain cells. One team member, Priscilla Negraes, devised a way to measure the mini-brains' electrical activity, by planting them in a tray lined with electrodes. By four months, the researchers found to their astonishment, normal organoids (but not those with an autism gene) emitted bursts of synchronized firing, separated by 20-second silences. At nine months, the organoids were producing up to 300,000 spikes per minute, across a range of frequencies.
He shared his vision for "brain farms," which would grow organoids en masse for drug development or tissue transplants.
When the team used an artificial intelligence system to compare these patterns with EEGs of gestating fetuses, the program found them to be nearly identical at each stage of development. As many scientists noted when the news broke, that didn't mean the organoids were conscious. (Their chaotic bursts bore little resemblance to the orderly rhythms of waking adult brains.) But to some observers, it suggested that they might be approaching the borderline.
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Shortly after Muotri's team published their findings, I attended a conference at UCSD on the ethical questions they raised. The scientist, in jeans and a sky-blue shirt, spoke rhapsodically of brain organoids' potential to solve scientific mysteries and lead to new medical treatments. He showed video of a spider-like robot connected to an organoid through a computer interface. The machine responded to different brainwave patterns by walking or stopping—the first stage, Muotri hoped, in teaching organoids to communicate with the outside world. He described his plans to develop organoids with multiple brain regions, and to hook them up to retinal organoids so they could "see." He shared his vision for "brain farms," which would grow organoids en masse for drug development or tissue transplants.
Muotri holds a spider-like robot that can connect to an organoid through a computer interface.
(Credit: ROLAND LIZARONDO/KPBS)
Yet Muotri also stressed the current limitations of the technology. His organoids contain approximately 2 million neurons, compared to about 200 million in a rat's brain and 86 billion in an adult human's. They consist only of a cerebral cortex, and lack many of a real brain's cell types. Because researchers haven't yet found a way to give organoids blood vessels, moreover, nutrients can't penetrate their inner recesses—a severe constraint on their growth.
Another panelist strongly downplayed the imminence of any Rubicon. Patricia Churchland, an eminent philosopher of neuroscience, cited research suggesting that in mammals, networked connections between the cortex and the thalamus are a minimum requirement for consciousness. "It may be a blessing that you don't have the enabling conditions," she said, "because then you don't have the ethical issues."
Christof Koch, for his part, sounded much less apprehensive than the Times had made him seem. He noted that science lacks a definition of consciousness, beyond an organism's sense of its own existence—"the fact that it feels like something to be you or me." As to the competing notions of how the phenomenon arises, he explained, he prefers one known as Integrated Information Theory, developed by neuroscientist Giulio Tononi. IIT considers consciousness to be a quality intrinsic to systems that reach a certain level of complexity, integration, and causal power (the ability for present actions to determine future states). By that standard, Koch doubted that brain organoids had stepped over the threshold.
One way to tell, he said, might be to use the "zap and zip" test invented by Tononi and his colleague Marcello Massimini in the early 2000s to determine whether patients are conscious in the medical sense. This technique zaps the brain with a pulse of magnetic energy, using a coil held to the scalp. As loops of neural impulses cascade through the cerebral circuitry, an EEG records the firing patterns. In a waking brain, the feedback is highly complex—neither totally predictable nor totally random. In other states, such as sleep, coma, or anesthesia, the rhythms are simpler. Applying an algorithm commonly used for computer "zip" files, the researchers devised a scale that allowed them to correctly diagnose most patients who were minimally conscious or in a vegetative state.
If scientists could find a way to apply "zap and zip" to brain organoids, Koch ventured, it should be possible to rank their degree of awareness on a similar scale. And if it turned out that an organoid was conscious, he added, our ethical calculations should strive to minimize suffering, and avoid it where possible—just as we now do, or ought to, with animal subjects. (Muotri, I later learned, was already contemplating sensors that would signal when organoids were likely in distress.)
During the question-and-answer period, an audience member pressed Churchland about how her views might change if the "enabling conditions" for consciousness in brain organoids were to arise. "My feeling is, we'll answer that when we get there," she said. "That's an unsatisfying answer, but it's because I don't know. Maybe they're totally happy hanging out in a dish! Maybe that's the way to be."
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Muotri himself admits to no qualms about his creations attaining consciousness, whether sooner or later. "I think we should try to replicate the model as close as possible to the human brain," he told me after the conference. "And if that involves having a human consciousness, we should go in that direction." Still, he said, if strong evidence of sentience does arise, "we should pause and discuss among ourselves what to do."
"The field is moving so rapidly, you blink your eyes and another advance has occurred."
Churchland figures it will be at least a decade before anyone reaches the crossroads. "That's partly because the thalamus has a very complex architecture," she said. It might be possible to mimic that architecture in the lab, she added, "but I tend to think it's not going to be a piece of cake."
If anything worries Churchland about brain organoids, in fact, it's that Muotri's visionary claims for their potential could set off a backlash among those who find them unacceptably spooky. "Alysson has done brilliant work, and he's wonderfully charismatic and charming," she said. "But then there's that guy back there who doesn't think it's exciting; he thinks you're the Devil incarnate. You're playing into the hands of people who are going to shut you down."
Koch, however, is more willing to indulge Muotri's dreams. "Ten years ago," he said, "nobody would have believed you can take a stem cell and get an entire retina out of it. It's absolutely frigging amazing. So who am I to say the same thing can't be true for the thalamus or the cortex? The field is moving so rapidly, you blink your eyes and another advance has occurred."
The point, he went on, is not to build a Cartesian thought experiment—or a Matrix-style dystopia—but to vanquish some of humankind's most terrifying foes. "You know, my dad passed away of Parkinson's. I had a twin daughter; she passed away of sudden death syndrome. One of my best friends killed herself; she was schizophrenic. We want to eliminate all these terrible things, and that requires experimentation. We just have to go into it with open eyes."
Artificial Intelligence is already helping to grow some of the food we eat.
The chef-farmers choose from among 45 types of herb and leafy-greens seeds, plop them into grow trays, and a few weeks later they pick and serve. While success is predicated on at least a small amount of these humans’ care, the systems are autonomously surveilled round-the-clock from Babylon’s base of operations. And artificial intelligence is helping to run the show.
Babylon piloted the use of specialized cameras that take pictures in different spectrums to gather some less-obvious visual data about plants’ wellbeing and alert people if something seems off.
Imagine consistently perfect greens and tomatoes and strawberries, grown hyper-locally, using less water, without chemicals or environmental contaminants. This is the hefty promise of controlled environment agriculture (CEA) — basically, indoor farms that can be hydroponic, aeroponic (plant roots are suspended and fed through misting), or aquaponic (where fish play a role in fertilizing vegetables). But whether they grow 4,160 leafy-green servings per year, like one Babylon farm, or millions of servings, like some of the large, centralized facilities starting to supply supermarkets across the U.S., they seek to minimize failure as much as possible.
Babylon’s soilless hydroponic growing system
Courtesy Babylon Micro-Farms
Here, AI is starting to play a pivotal role. CEA growers use it to help “make sense of what’s happening” to the plants in their care, says Scott Lowman, vice president of applied research at the Institute for Advanced Learning and Research (IALR) in Virginia, a state that’s investing heavily in CEA companies. And although these companies say they’re not aiming for a future with zero human employees, AI is certainly poised to take a lot of human farming intervention out of the equation — for better and worse.
Most of these companies are compiling their own data sets to identify anything that might block the success of their systems. Babylon had already integrated sensor data into its farms to measure heat and humidity, the nutrient content of water, and the amount of light plants receive. Last year, they got a National Science Foundation grant that allowed them to pilot the use of specialized cameras that take pictures in different spectrums to gather some less-obvious visual data about plants’ wellbeing and alert people if something seems off. “Will this plant be healthy tomorrow? Are there things…that the human eye can't see that the plant starts expressing?” says Amandeep Ratte, the company’s head of data science. “If our system can say, Hey, this plant is unhealthy, we can reach out to [users] preemptively about what they’re doing wrong, or is there a disease at the farm?” Ratte says. The earlier the better, to avoid crop failures.
Natural light accounts for 70 percent of Greenswell Growers’ energy use on a sunny day.
Courtesy Greenswell Growers
IALR’s Lowman says that other CEA companies are developing their AI systems to account for the different crops they grow — lettuces come in all shapes and sizes, after all, and each has different growing needs than, for example, tomatoes. The ways they run their operations differs also. Babylon is unusual in its decentralized structure. But centralized growing systems with one main location have variabilities, too. AeroFarms, which recently declared bankruptcy but will continue to run its 140,000-square foot vertical operation in Danville, Virginia, is entirely enclosed and reliant on the intense violet glow of grow lights to produce microgreens.
Different companies have different data needs. What data is essential to AeroFarms isn’t quite the same as for Greenswell Growers located in Goochland County, Virginia. Raising four kinds of lettuce in a 77,000-square-foot automated hydroponic greenhouse, the vagaries of naturally available light, which accounts for 70 percent of Greenswell’s energy use on a sunny day, affect operations. Their tech needs to account for “outside weather impacts,” says president Carl Gupton. “What adjustments do we have to make inside of the greenhouse to offset what's going on outside environmentally, to give that plant optimal conditions? When it's 85 percent humidity outside, the system needs to do X, Y and Z to get the conditions that we want inside.”
AI will help identify diseases, as well as when a plant is thirsty or overly hydrated, when it needs more or less calcium, phosphorous, nitrogen.
Nevertheless, every CEA system has the same core needs — consistent yield of high quality crops to keep up year-round supply to customers. Additionally, “Everybody’s got the same set of problems,” Gupton says. Pests may come into a facility with seeds. A disease called pythium, one of the most common in CEA, can damage plant roots. “Then you have root disease pressures that can also come internally — a change in [growing] substrate can change the way the plant performs,” Gupton says.
AI will help identify diseases, as well as when a plant is thirsty or overly hydrated, when it needs more or less calcium, phosphorous, nitrogen. So, while companies amass their own hyper-specific data sets, Lowman foresees a time within the next decade “when there will be some type of [open-source] database that has the most common types of plant stress identified” that growers will be able to tap into. Such databases will “create a community and move the science forward,” says Lowman.
In fact, IALR is working on assembling images for just such a database now. On so-called “smart tables” inside an Institute lab, a team is growing greens and subjects them to various stressors. Then, they’re administering treatments while taking images of every plant every 15 minutes, says Lowman. Some experiments generate 80,000 images; the challenge lies in analyzing and annotating the vast trove of them, marking each one to reflect outcome—for example increasing the phosphate delivery and the plant’s response to it. Eventually, they’ll be fed into AI systems to help them learn.
For all the enthusiasm surrounding this technology, it’s not without downsides. Training just one AI system can emit over 250,000 pounds of carbon dioxide, according to MIT Technology Review. AI could also be used “to enhance environmental benefit for CEA and optimize [its] energy consumption,” says Rozita Dara, a computer science professor at the University of Guelph in Canada, specializing in AI and data governance, “but we first need to collect data to measure [it].”
The chef-farmers can choose from 45 types of herb and leafy-greens seeds.
Courtesy Babylon Micro-Farms
Any system connected to the Internet of Things is also vulnerable to hacking; if CEA grows to the point where “there are many of these similar farms, and you're depending on feeding a population based on those, it would be quite scary,” Dara says. And there are privacy concerns, too, in systems where imaging is happening constantly. It’s partly for this reason, says Babylon’s Ratte, that the company’s in-farm cameras all “face down into the trays, so the only thing [visible] is pictures of plants.”
Tweaks to improve AI for CEA are happening all the time. Greenswell made its first harvest in 2022 and now has annual data points they can use to start making more intelligent choices about how to feed, water, and supply light to plants, says Gupton. Ratte says he’s confident Babylon’s system can already “get our customers reliable harvests. But in terms of how far we have to go, it's a different problem,” he says. For example, if AI could detect whether the farm is mostly empty—meaning the farm’s user hasn’t planted a new crop of greens—it can alert Babylon to check “what's going on with engagement with this user?” Ratte says. “Do they need more training? Did the main person responsible for the farm quit?”
Lowman says more automation is coming, offering greater ability for systems to identify problems and mitigate them on the spot. “We still have to develop datasets that are specific, so you can have a very clear control plan, [because] artificial intelligence is only as smart as what we tell it, and in plant science, there's so much variation,” he says. He believes AI’s next level will be “looking at those first early days of plant growth: when the seed germinates, how fast it germinates, what it looks like when it germinates.” Imaging all that and pairing it with AI, “can be a really powerful tool, for sure.”
Researchers from the University of Cambridge have laid the foundations for growing synthetic embryos that could develop a beating heart, gut and brain.
The organoid revolution
In 1981, scientists discovered how to keep stem cells alive. This was a significant breakthrough, as stem cells have notoriously rigorous demands. Nevertheless, stem cells remained a relatively niche research area, mainly because scientists didn’t know how to convince the cells to turn into other cells.
Then, in 1987, scientists embedded isolated stem cells in a gelatinous protein mixture called Matrigel, which simulated the three-dimensional environment of animal tissue. The cells thrived, but they also did something remarkable: they created breast tissue capable of producing milk proteins. This was the first organoid — a clump of cells that behave and function like a real organ. The organoid revolution had begun, and it all started with a boob in Jello.
For the next 20 years, it was rare to find a scientist who identified as an “organoid researcher,” but there were many “stem cell researchers” who wanted to figure out how to turn stem cells into other cells. Eventually, they discovered the signals (called growth factors) that stem cells require to differentiate into other types of cells.
For a human embryo (and its organs) to develop successfully, there needs to be a “dialogue” between these three types of stem cells.
By the end of the 2000s, researchers began combining stem cells, Matrigel, and the newly characterized growth factors to create dozens of organoids, from liver organoids capable of producing the bile salts necessary for digesting fat to brain organoids with components that resemble eyes, the spinal cord, and arguably, the beginnings of sentience.
Synthetic embryos
Organoids possess an intrinsic flaw: they are organ-like. They share some characteristics with real organs, making them powerful tools for research. However, no one has found a way to create an organoid with all the characteristics and functions of a real organ. But Magdalena Żernicka-Goetz, a developmental biologist, might have set the foundation for that discovery.
Żernicka-Goetz hypothesized that organoids fail to develop into fully functional organs because organs develop as a collective. Organoid research often uses embryonic stem cells, which are the cells from which the developing organism is created. However, there are two other types of stem cells in an early embryo: stem cells that become the placenta and those that become the yolk sac (where the embryo grows and gets its nutrients in early development). For a human embryo (and its organs) to develop successfully, there needs to be a “dialogue” between these three types of stem cells. In other words, Żernicka-Goetz suspected the best way to grow a functional organoid was to produce a synthetic embryoid.
As described in the aforementioned Nature paper, Żernicka-Goetz and her team mimicked the embryonic environment by mixing these three types of stem cells from mice. Amazingly, the stem cells self-organized into structures and progressed through the successive developmental stages until they had beating hearts and the foundations of the brain.
“Our mouse embryo model not only develops a brain, but also a beating heart [and] all the components that go on to make up the body,” said Żernicka-Goetz. “It’s just unbelievable that we’ve got this far. This has been the dream of our community for years and major focus of our work for a decade and finally we’ve done it.”
If the methods developed by Żernicka-Goetz’s team are successful with human stem cells, scientists someday could use them to guide the development of synthetic organs for patients awaiting transplants. It also opens the door to studying how embryos develop during pregnancy.
This article originally appeared on Big Think, home of the brightest minds and biggest ideas of all time.
