Links for Keyword: Brain imaging
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By Tina Hesman Saey After nearly 350 years, a depiction of a bee’s brain is getting some buzz. A manuscript created in the mid-1670s contains the oldest known depiction of an insect’s brain, historian of science Andrea Strazzoni of the University of Turin in Italy reports January 29 in Royal Society Notes and Records. Handwritten by Dutch biologist and microscopist Johannes Swammerdam, the manuscript contains a detailed description and drawing of a honeybee drone’s brain. The illustration, based on his own dissections, was just one of Swammerdam’s firsts. In 1658, he was also the first to see and describe red blood cells. Since no one had previously reported dissecting a bee brain, Swammerdam based his descriptions on what was known about the brain anatomy of humans and other mammals. “He knew what to expect from or to imagine in his observations: in particular, the pineal gland and the cerebellum,” Strazzoni writes. Bees have neither of those parts but have brain structures that the 17th century scientist mistook for them. But Swammerdam deserves some slack, Strazzoni suggests. He was working with single-lens microscopes and developing new techniques for dissecting and observing insects’ internal organs. Even with those crude instruments, he was able to identify some nerves and describe how parts of the brain connected. © Society for Science & the Public 2000–2025.
Related chapters from BN: Chapter 2: Functional Neuroanatomy: The Cells and Structure of the Nervous System; Chapter 6: Evolution of the Brain and Behavior
Related chapters from MM:Chapter 2: Neurophysiology: The Generation, Transmission, and Integration of Neural Signals
Link ID: 29644 - Posted: 01.29.2025
By Shaena Montanari For evolutionary neuroanatomists who compare diverse animal brains, access to a gold mine of 500,000 histological sections and whole mounts is now only a mouse-click away. The R. Glenn Northcutt Collection of Comparative Vertebrate Neuroanatomy and Embryology at Harvard University—which comprises 33,000 slides of tissue samples from more than 240 vertebrate genera—is one of the world’s largest and most diverse collections of its kind. Northcutt, a prolific comparative vertebrate neuroanatomist and emeritus professor of neurosciences at the University of California, San Diego, amassed the collection over the course of five decades. Since 2021, James Hanken, research professor of biology at Harvard University and curator at the Museum of Comparative Zoology, has led an effort to digitize it. The scanning process is still ongoing and may take another two years to complete, Hanken says, but more than 8,000 slides are already publicly available in two online data repositories: MCZBase and MorphoSource. A comprehensive inventory of the entire collection appears in a paper Hanken and his colleagues published last week in the Bulletin of the Museum of Comparative Zoology. It provides researchers with an in-depth guide for using the collection, Hanken says. Few other resources of this type are available online to researchers interested in evolutionary biology and brain anatomy, says Andrew Iwaniuk, professor of neuroscience at the University of Lethbridge. For example, neither the Welker Comparative Anatomy Collection nor the Starr Collection, both housed at the U.S. National Museum of Health and Medicine in Silver Spring, Maryland, are available online. To access slide collections such as these, scientists have had to travel to see them in person, which can be difficult for those outside the United States, Iwaniuk adds. © 2025 Simons Foundation
Related chapters from BN: Chapter 2: Functional Neuroanatomy: The Cells and Structure of the Nervous System; Chapter 6: Evolution of the Brain and Behavior
Related chapters from MM:Chapter 2: Neurophysiology: The Generation, Transmission, and Integration of Neural Signals
Link ID: 29642 - Posted: 01.25.2025
Nicola Davis Science correspondent Standing patiently on a small fluffy rug, Calisto the flat-coated retriever is being fitted with some hi-tech headwear. But this is not a new craze in canine fashion: she is about to have her brainwaves recorded. Calisto is one of about 40 pet dogs – from newfoundlands to Tibetan terriers – taking part in a study to explore whether their brainwaves synchronise with those of their owners when the pair interact, a phenomenon previously seen when two humans engage with each other. The researchers behind the work say such synchronisation would suggest person and pet are paying attention to the same things, and in certain circumstances interpreting moments in a similar way. In other words, owner and dog really are on the same wavelength. Dr Valdas Noreika of Queen Mary, University of London said he got the idea for the study after working on similar experiments with mothers and their babies, where such synchronisation has also been seen. “Owners modulate their language in a similar way as parents modulate when they speak to children,” he said. “There are lots of similarities. That could be one of the reasons why we get so attached to dogs – because we already have these cognitive functions and capacities to attach with someone who is smaller or requires help or attention.” Hints of an emotional bond between humans and their dogs stretch into the distant past: researchers have previously discovered the 14,000-year-old remains of a puppy buried in Germany alongside a man and a woman: the analysis suggested the young dog had been nursed through several periods of illness, despite having no particular use. © 2025 Guardian News & Media Limited o
Related chapters from BN: Chapter 3: Neurophysiology: The Generation, Transmission, and Integration of Neural Signals; Chapter 18: Attention and Higher Cognition
Related chapters from MM:Chapter 3: The Chemistry of Behavior: Neurotransmitters and Neuropharmacology; Chapter 14: Attention and Higher Cognition
Link ID: 29613 - Posted: 01.04.2025
' By Sofia Quaglia Flip open any neuroscience textbook and the depiction of a neuron will be roughly the same: a blobby, amoebalike cell body shooting out a long, thick strand. That strand is the axon, which conducts electrical signals to terminals where the cell communicates with other neurons. Axons have long been depicted as smooth and cylindrical, but a new study of mouse neurons challenges that view. Instead, it suggests their natural shape is more like a string of pearls. Even more provocatively, the authors propose those pearly bumps serve as control knobs, influencing how quickly and precisely the cell fires its signals. The study, published today in Nature Neuroscience, should “100%” change how we’ve been thinking about neurons and their signals, says senior author Shigeki Watanabe, a molecular neuroscientist at John Hopkins University. Some outsiders agree. The findings are “highly significant and I think have been overlooked for quite some time,” says evolutionary biologist Pawel Burkhardt of the University of Bergen, who recently spotted similar pearl structures in neurons from tiny marine invertebrates known as comb jellies. Yet several experts in the field contest the findings. Some cite potential confounding effects of the preparation and freezing method used to preserve cells before imaging. And some doubt the work totally upends what’s known about the true shape of the axon. “I think it’s true that [the axon is] not a perfect tube, but it’s not also just this kind of accordion that they show,” says neuroscientist Christophe Leterrier from Aix-Marseille University, who calls the study “a controversial addition to the literature.” Since the mid-1960s, microscopists have seen that axons can scrunch up to form beads when they are diseased or under other stress. Leterrier has called these temporary beads “stress balls for the brain” and found evidence that they prevent cellular damage from spreading. Other studies suggest even normal axons bulge temporarily when cargo traveling to and from the cell nucleus forms a traffic jam, like the elephant bulging inside the body of a boa in the children’s book The Little Prince.
Related chapters from BN: Chapter 2: Functional Neuroanatomy: The Cells and Structure of the Nervous System; Chapter 3: Neurophysiology: The Generation, Transmission, and Integration of Neural Signals
Related chapters from MM:Chapter 2: Neurophysiology: The Generation, Transmission, and Integration of Neural Signals; Chapter 3: The Chemistry of Behavior: Neurotransmitters and Neuropharmacology
Link ID: 29586 - Posted: 12.04.2024
By Sara Reardon Researchers have mapped nearly 140,000 neurons in the fruit-fly brain. This version shows the 50 largest. Credit: Tyler Sloan and Amy Sterling for FlyWire, Princeton University (ref. 1) A fruit fly might not be the smartest organism, but scientists can still learn a lot from its brain. Researchers are hoping to do that now that they have a new map — the most complete for any organism so far — of the brain of a single fruit fly (Drosophila melanogaster). The wiring diagram, or ‘connectome’, includes nearly 140,000 neurons and captures more than 54.5 million synapses, which are the connections between nerve cells. “This is a huge deal,” says Clay Reid, a neurobiologist at the Allen Institute for Brain Science in Seattle, Washington, who was not involved in the project but has worked with one of the team members who was. “It’s something that the world has been anxiously waiting for, for a long time.” The map1 is described in a package of nine papers about the data published in Nature today. Its creators are part of a consortium known as FlyWire, co-led by neuroscientists Mala Murthy and Sebastian Seung at Princeton University in New Jersey. Seung and Murthy say that they’ve been developing the FlyWire map for more than four years, using electron microscopy images of slices of the fly’s brain. The researchers and their colleagues stitched the data together to form a full map of the brain with the help of artificial-intelligence (AI) tools. But these tools aren’t perfect, and the wiring diagram needed to be checked for errors. The scientists spent a great deal of time manually proofreading the data — so much time that they invited volunteers to help. In all, the consortium members and the volunteers made more than three million manual edits, according to co-author Gregory Jefferis, a neuroscientist at the University of Cambridge, UK. (He notes that much of this work took place in 2020, when fly researchers were at loose ends and working from home during the COVID-19 pandemic.) © 2024 Springer Nature Limited
Related chapters from BN: Chapter 2: Functional Neuroanatomy: The Cells and Structure of the Nervous System; Chapter 7: Life-Span Development of the Brain and Behavior
Related chapters from MM:Chapter 2: Neurophysiology: The Generation, Transmission, and Integration of Neural Signals; Chapter 13: Memory and Learning
Link ID: 29508 - Posted: 10.05.2024
By Angie Voyles Askham Most people visit the Minnesota State Fair for a fun-filled day of fried food, farm animals and carnival rides. Not Ka Ip. He saw the annual event as the perfect setting for a new experiment. Ip, assistant professor of child development at the University of Minnesota, is particularly interested in executive function: the set of skills, such as organization and impulse control, people need to plan and achieve goals. Children from lower socioeconomic backgrounds tend to perform worse on tests of these skills than do their more privileged peers, past research shows. But that gap may reflect where those skills are typically tested: a quiet lab, in which some children may feel out of their element, Ip says. “That may not actually mimic their actual day-to-day environment.” Which is why Ip started to devise a series of experiments to conduct at the less-than-serene state fair. “We really want to understand how, for example, unpredictability in the home environment is related to executive function development,” he says. The fair also offered a way to recruit children from a wider swath of society than researchers can often find at a university, he adds. Last month, after a year of planning, Ip and his team lugged a trolley full of equipment to the fairgrounds outside Minneapolis. There, they collected functional near-infrared spectroscopy (fNIRS) data on 75 children aged 3 to 7 as they played a computer game that tests impulse control. The team aims to evaluate whether the bustling surroundings affect participants’ performances and neural activity differently based on their background. © 2024 Simons Foundation
Related chapters from BN: Chapter 18: Attention and Higher Cognition; Chapter 2: Functional Neuroanatomy: The Cells and Structure of the Nervous System
Related chapters from MM:Chapter 14: Attention and Higher Cognition; Chapter 2: Neurophysiology: The Generation, Transmission, and Integration of Neural Signals
Link ID: 29490 - Posted: 09.25.2024
Jon Hamilton Scientists have created a virtual brain network that can predict the behavior of individual neurons in a living brain. The model is based on a fruit fly’s visual system, and it offers scientists a way to quickly test ideas on a computer before investing weeks or months in experiments involving actual flies or other lab animals. “Now we can start with a guess for how the fly brain might work before anyone has to make an experimental measurement,” says Srini Turaga, a group leader at the Janelia Research Campus, a part of the Howard Hughes Medical Institute (HHMI). The approach, described in the journal Nature, also suggests that power-hungry artificial intelligence systems like ChatGPT might consume much less energy if they used some of the computational strategies found in a living brain. A fruit fly brain is “small and energy efficient,” says Jakob Macke, a professor at the University of Tübingen and an author of the study. “It’s able to do so many computations. It’s able to fly, it’s able to walk, it’s able to detect predators, it’s able to mate, it’s able to survive—using just 100,000 neurons.” In contrast, AI systems typically require computers with tens of billions of transistors. Worldwide, these systems consume as much power as a small country. “When we think about AI right now, the leading charge is to make these systems more power efficient,” says Ben Crowley, a computational neuroscientist at Cold Spring Harbor Laboratory who was not involved in the study. Borrowing strategies from the fruit fly brain might be one way to make that happen, he says. © 2024 npr
Related chapters from BN: Chapter 2: Functional Neuroanatomy: The Cells and Structure of the Nervous System; Chapter 7: Life-Span Development of the Brain and Behavior
Related chapters from MM:Chapter 2: Neurophysiology: The Generation, Transmission, and Integration of Neural Signals; Chapter 13: Memory and Learning
Link ID: 29484 - Posted: 09.18.2024
By Rodrigo Pérez Ortega Names can be deceiving. One might think “cerebrospinal fluid” only lives in the brain and spinal cord. Indeed, that’s what scientists and doctors have largely believed for centuries. But the clear liquid—which cleans, feeds, and protects the organs it surrounds—also bathes the body’s nerves, researchers report today in Science Advances. “This is one of the [most] important papers in this area,” says Karl Bechter, a clinical neurologist at Ulm University who was not involved in the study. In the past, he and others have suggested instances in which cerebrospinal fluid (CSF) permeates nerves, but he says this is the first study that shows it can travel far throughout the body. The finding could open new ways to deliver drugs to some of the most inaccessible parts of the body. The human body is a bundle of nerves. Besides the head honchos that make up the central nervous system—the brain and spinal cord—kilometers of spindly fibers snake their way throughout our anatomy. Here, they form a peripheral nervous system that fires the signals that allow us to do everything from walking to feeling pain. Yet even though the two systems interface, previous anatomy studies indicated CSF was restricted to the central nervous system. Things changed 2.5 years ago when Edward Scott, a stem cell biologist at the University of Florida, and his surgeon colleague Joe Pessa noticed something strange during a plastic surgery study. Pessa was researching ways to avoid damaging CSF-containing structures and nerves during surgical procedures. When the scientists injected saline into the brain chambers of human cadavers that contained CSF, a peripheral nerve in the wrist swelled up. They then decided to explore further, injecting a fluorescent liquid in live mice’s brain chambers to track where the liquid went. The dye somehow made its way to the sciatic nerve, which runs throughout the back of the leg. Intrigued, the team decided to repeat the experiment in mice using a much finer tracer: nanoparticles of gold. These tiny particles can be detected through both light and electron microscopy and can be tailored to specific sizes.
Related chapters from BN: Chapter 2: Functional Neuroanatomy: The Cells and Structure of the Nervous System
Related chapters from MM:Chapter 2: Neurophysiology: The Generation, Transmission, and Integration of Neural Signals
Link ID: 29465 - Posted: 09.07.2024
By Holly Barker Machine-learning models can predict a neuron’s location based on recorded bursts of activity, a new preprint suggests. The findings may provide novel insights into how the brain integrates signals from different regions, the researchers say. The algorithm—trained on electrode recordings of neurons in mice—appeared to learn a cell’s whereabouts from its interspike interval, the sequence of delays between blips of activity. And after deciphering the spike pattern from one mouse, the tool predicted neuronal locations based on recordings from another rodent. That conservation between animals suggests the information serves some useful brain function, or at least doesn’t get in the way, says lead investigator Keith Hengen, assistant professor of biology at Washington University in St. Louis. Although more research is needed, the anatomical information embedded in interspike intervals could—in theory—provide contextual information for neuronal computations. For example, the brain might process signals from thalamic neurons differently from those in the hippocampus, says study investigator Aidan Schneider, a graduate student in Hengen’s lab. Schneider and his colleagues trained the model using tens of thousands of Neuropixels probe recordings from 58 awake mice, published by the Allen Institute. When Schneider’s team presented the algorithm with fresh data, it could decipher whether a given neuron resided in the hippocampus, midbrain, thalamus or visual cortex 89 percent of the time, once the team removed noise from the data. (Random guesses would be correct 25 percent of the time.) But the tool was less able to pinpoint specific substructures within those regions. It’s a great example of the kinds of insights that labs poring over huge datasets can produce, says Drew Headley, assistant professor of molecular and behavioral neuroscience at Rutgers University, who was not involved in the study. But the findings may simply echo published reports of variations in spiking activity across different brain regions, he says. © 2024 Simons Foundation
Related chapters from BN: Chapter 3: Neurophysiology: The Generation, Transmission, and Integration of Neural Signals; Chapter 2: Functional Neuroanatomy: The Cells and Structure of the Nervous System
Related chapters from MM:Chapter 3: The Chemistry of Behavior: Neurotransmitters and Neuropharmacology; Chapter 2: Neurophysiology: The Generation, Transmission, and Integration of Neural Signals
Link ID: 29452 - Posted: 08.28.2024
By Tina Hesman Saey A mind-bending parasite may one day deliver drugs to the brain. Toxoplasma gondii is a single-celled parasite that famously makes mice lose their fear of cats, but also can cause deadly foodborne illnesses (SN: 1/14/20). Now, researchers have engineered the parasite to deliver large therapeutic proteins to the brains of mice and into human brain cells grown in lab dishes, an international team of scientists reports July 29 in Nature Microbiology. Such proteins and the genes that produce them are often too big for viruses — the most common courier for gene therapy — to carry (SN: 10/20/23). If the parasite can be made safe for human use, the technique may eventually help treat a variety of neurological conditions. While critics doubt that the parasitic villain can ever be turned into a helpful hero, some researchers are intrigued by the idea. Microbes such as bacteria and parasites are usually viewed as bad guys, says Sara Molinari, a bacterial synthetic biologist at the University of Maryland in College Park who was not involved with the work. But microbes have evolved “pretty sophisticated relationships with our bodies,” she says. “The idea that we can leverage this relationship to instruct them to do good things for us is actually groundbreaking.” Current methods of delivering therapies to the brain often produce unpredictable results or have a hard time penetrating the protective shield known as the blood-brain barrier, says Shahar Bracha, a bioengineer and neuroscientist at MIT (SN: 5/2/23). © Society for Science & the Public 2000–2024.
Related chapters from BN: Chapter 4: The Chemistry of Behavior: Neurotransmitters and Neuropharmacology; Chapter 2: Functional Neuroanatomy: The Cells and Structure of the Nervous System
Related chapters from MM:Chapter 4: Development of the Brain; Chapter 2: Neurophysiology: The Generation, Transmission, and Integration of Neural Signals
Link ID: 29414 - Posted: 07.31.2024
By Laura Dattaro When John Tuthill was a postdoctoral researcher at Harvard Medical School, he worked just down the hall from Wei-Chung Allen Lee, who was developing new technology to image and map cell connections in the central nervous system. Lee wanted to use his technique in the fruit fly Drosophila, but he knew that other groups were already making such images of the fly brain. So Tuthill, who was studying touch stimuli in Drosophila, suggested Lee pivot to map the fly’s ventral nerve cord (VNC) instead. A decade later, Tuthill, Lee and colleagues have published a map of the connections among motor neurons in a female fly’s VNC, which is analogous to the spinal cord in mammals. The diagram, published on 26 June in Nature, details roughly 45 million synapses that connect nearly 15,000 neurons, and is the second such connectome to be released. A different team, at Howard Hughes Medical Institute’s Janelia Research Campus, published a male fly’s VNC connectome to eLife’s preprint server in June 2023. (The team posted an updated, reviewed preprint on 23 May 2024.) “The connectome is only useful if you can connect it to the muscles,” says Tuthill, associate professor of neuroscience at the University of Washington. “The output of the connectome is the activity of motor neurons.” With connectomes from both a male and a female fly, researchers are starting to look for differences not only between individuals, but between the sexes. An initial comparison of the two connectomes, posted to bioRxiv on 28 June by members of both teams, including Tuthill and Lee, identified circuits that appear to control sex-specific behaviors, including male courtship songs and the female extension of an organ used to deposit eggs. © 2024 Simons Foundation
Related chapters from BN: Chapter 2: Functional Neuroanatomy: The Cells and Structure of the Nervous System
Related chapters from MM:Chapter 2: Neurophysiology: The Generation, Transmission, and Integration of Neural Signals
Link ID: 29407 - Posted: 07.27.2024
By Tyler Sloan If I ask you to picture a group of “neurons firing,” what comes to mind? For most people, it’s a few isolated neurons flashing in synchrony. This type of minimalist representation of neurons is common within neuroscience, inspired in part by Santiago Ramón y Cajal’s elegant depictions of the nervous system. His work left a deep mark on our intuitions, but the method he used—Golgi staining—highlights just 1 to 5 percent of neurons. More than a century later, researchers have mapped out brain connectivity in such detail that it easily becomes overwhelming; I vividly recall an undergraduate neurophysiology lecture in which the professor showed a wiring diagram of the primary visual cortex to make the point that it was too complex to understand. We’ve reached a point where simple wiring diagrams no longer suffice to represent what we’re learning about the brain. Advances in experimental and computational neuroscience techniques have made it possible to map brains in more detail than ever before. The wiring diagram for the whole fly brain, for example, mapped at single-synapse resolution, comprises 2.7 million cell-to-cell connections and roughly 150 million synapses. Building an intuitive understanding of this type of complexity will require new tools for representing neural connectivity in a way that is both meaningful and compact. To do this, we will have to embrace the elaborate and move beyond the single neuron to a more “maximalist” approach to visualizing the nervous system. I spent my Ph.D. studying the spinal cord, where commissural growth cones are depicted as pioneers on a railhead extending through uncharted territory. The watershed moment for me was seeing a scanning electron micrograph of the developing spinal cord for the first time and suddenly understanding the growth cone’s dense environment—its path was more like squeezing through a crowded concert than wandering across an empty field. I realized how poor my own intuitions were, which nudged me toward learning the art of 3D visualization. © 2024 Simons Foundation
Related chapters from BN: Chapter 2: Functional Neuroanatomy: The Cells and Structure of the Nervous System; Chapter 7: Life-Span Development of the Brain and Behavior
Related chapters from MM:Chapter 2: Neurophysiology: The Generation, Transmission, and Integration of Neural Signals; Chapter 13: Memory and Learning
Link ID: 29385 - Posted: 07.09.2024
By Adolfo Plasencia Recently, a group of Australian researchers demonstrated a “mind-reading” system called BrainGPT. The system can, according to its creators, convert thoughts (recorded with a non-invasive electrode helmet) into words that are displayed on a screen. Essentially, BrainGPT connects a multitasking EEG encoder to a large language model capable of decoding coherent and readable sentences from EEG signals. Is the mind, the last frontier of privacy, still a safe place to think one’s thoughts? I spoke with Harvard-based behavioral neurologist Alvaro Pascual-Leone, a leader in the study of neuroplasticity and noninvasive brain stimulation, about what it means and how we can protect ourselves. The reality is that the ability to read the brain and influence activity is already here. It’s no longer only in the realm of science fiction. Now, the question is, what exactly can we access and manipulate in the brain? Consider this example: If I instruct you to move a hand, I can tell if you are preparing to move, say, your right hand. I can even administer a precise “nudge” to your brain and make you move your right hand faster. And you would then claim, and fully believe, that you moved it yourself. However, I know that, in fact, it was me who moved it for you. I can even force you to move your left hand—which you were not going to move—and lead you to rationalize why you changed your mind when in fact, our intervention led to that action you perceive as your choice. We have done this experiment in our laboratory. In humans, we can modify brain activity by reading and writing in the brain, so to speak, though we can affect only very simple things right now. In animals, we can do much more complex things because we have much more precise control of the neurons and their timing. But the capacity for that modulation of smaller circuits progressively down to individual neurons in humans is going to come, including much more selective modification with optogenetic alternatives—that is, using light to control the activity of neurons. © 2024 NautilusNext Inc.,
Related chapters from BN: Chapter 2: Functional Neuroanatomy: The Cells and Structure of the Nervous System; Chapter 18: Attention and Higher Cognition
Related chapters from MM:Chapter 2: Neurophysiology: The Generation, Transmission, and Integration of Neural Signals; Chapter 14: Attention and Higher Cognition
Link ID: 29377 - Posted: 07.03.2024
By Miryam Naddaf Researchers have developed a four-dimensional model of spinal-cord injury in mice, which shows how nearly half a million cells in the spinal cord respond over time to injuries of varying severity. The model, known as a cell atlas, could help researchers to resolve outstanding questions and develop new treatments for people with spinal-cord injury (SCI). “If you know what every single cell on the spinal cord is doing in response to injury, you could use that knowledge to develop tailor-made and mechanism-based therapies,” says Mark Anderson, a neurobiologist at the Swiss Federal Institute of Technology in Geneva, Switzerland, who worked on the atlas. “Things don’t need to be a shot in the dark.” Anderson and his colleagues used machine-learning algorithms to build the atlas by mapping data from RNA sequencing and other cell-biology techniques. They described the work in a Nature paper published today1 and have made the entire atlas available through an online platform. The atlas is a valuable resource for testing hypotheses about SCI, says Binhai Zheng, who studies spinal-cord regeneration at the University of California, San Diego. “There are a lot of hidden treasures.” The researchers examined sections of the spinal cord, sampled from 52 injured and uninjured mice at 1, 4, 7, 14, 30 and 60 days after injury. Their analysis involved 18 experimental SCI conditions, including different types of injury and levels of severity. They used RNA-sequencing tools to explore how 482,825 cells responded to injury over time. © 2024 Springer Nature Limited
Related chapters from BN: Chapter 11: Motor Control and Plasticity; Chapter 2: Functional Neuroanatomy: The Cells and Structure of the Nervous System
Related chapters from MM:Chapter 5: The Sensorimotor System; Chapter 2: Neurophysiology: The Generation, Transmission, and Integration of Neural Signals
Link ID: 29368 - Posted: 06.26.2024
Jon Hamilton A flexible film bristling with tiny sensors could make surgery safer for patients with a brain tumor or severe epilepsy. The experimental film, which looks like Saran wrap, rests on the brain’s surface and detects the electrical activity of nerve cells below. It’s designed to help surgeons remove diseased tissue while preserving important functions like language and memory. “This will enable us to do a better job,” says Dr. Ahmed Raslan, a neurosurgeon at Oregon Health and Science University who helped develop the film. The technology is similar in concept to sensor grids already used in brain surgery. But the resolution is 100 times higher, says Shadi Dayeh, an engineer at the University of California, San Diego, who is leading the development effort. In addition to aiding surgery, the film should offer researchers a much clearer view of the neural activity responsible for functions including movement, speech, sensation, and even thought. “We have these complex circuits in our brains,” says John Ngai, who directs the BRAIN Initiative at the National Institutes of Health, which has funded much of the film’s development. “This will give us a better understanding of how they work.” Mapping an ailing brain The film is intended to improve a process called functional brain mapping, which is often used when a person needs surgery to remove a brain tumor or tissue causing severe epileptic seizures. © 2024 npr
Related chapters from BN: Chapter 2: Functional Neuroanatomy: The Cells and Structure of the Nervous System; Chapter 3: Neurophysiology: The Generation, Transmission, and Integration of Neural Signals
Related chapters from MM:Chapter 2: Neurophysiology: The Generation, Transmission, and Integration of Neural Signals; Chapter 3: The Chemistry of Behavior: Neurotransmitters and Neuropharmacology
Link ID: 29357 - Posted: 06.13.2024
By Rebecca Horne The drawings and photographs of Santiago Ramón y Cajal are familiar to any neuroscientist—and probably anyone even remotely interested in the field. Most people who take a cursory look at his iconic images might assume that he created them using only direct observation. But that’s not the case, according to a paper published in March 2024 by Dawn Hunter, visual artist and associate professor of art at the University of South Carolina, and her colleagues. For instance, the Golgi-stained tissue Ramón y Cajal drew contained neurons that were cut in half—so he painstakingly reconstructed the cells by drawing from elements in multiple slides. And he also fleshed out his illustrations using educated guesses and classical drawing principles, such as contrast and occlusion. In this way, Ramón y Cajal’s art training was essential to his research, Hunter says. She came across Ramón y Cajal’s drawings while creating illustrations for a neuroscience textbook. “The first time I saw his work, out of pure inspiration, I decided to draw it,” she says. “It was in those moments of drawing that I realized his process was more profound and conceptually layered than merely retracing pencil lines with ink. Examining Ramón y Cajal’s work through the act of drawing is a more active experience than viewing his work as a gallery visitor or in a textbook.” In 2015, Hunter installed her drawings and paintings alongside original Ramón y Cajal works in an ongoing exhibition at the U.S. National Institutes of Health (NIH). That effort led to a Fulbright fellowship to Spain in 2017, providing her access to the Legado Cajal archives at the Instituto Cajal National Archives, which contain thousands of Ramón y Cajal artifacts. Hunter spoke to The Transmitter about her research in Spain and her realizations about how Ramón y Cajal worked as an artist and as a scientist. The Transmitter: What do you think your work contributes that is new? Dawn Hunter: It spells out the connection to [Ramón y Cajal’s] art training. There are some things that to me as a painter are obvious to zero in on that nobody’s really talked about. For example, Ramón y Cajal’s copying of the Renaissance painter Rafael’s entire portfolio. That in itself is a profound thing. © 2024 Simons Foundation
Related chapters from BN: Chapter 2: Functional Neuroanatomy: The Cells and Structure of the Nervous System; Chapter 1: Introduction: Scope and Outlook
Related chapters from MM:Chapter 2: Neurophysiology: The Generation, Transmission, and Integration of Neural Signals; Chapter 1: Cells and Structures: The Anatomy of the Nervous System
Link ID: 29338 - Posted: 06.04.2024
By Laura Sanders It’s a bit like seeing a world in a grain of sand. Except the view, in this case, is the exquisite detail inside a bit of human brain about half the size of a grain of rice. Held in that minuscule object is a complex collective of cells, blood vessels, intricate patterns and biological puzzles. Scientists had hints of these mysteries in earlier peeks at this bit of brain (SN: 6/29/21). But now, those details have been brought into new focus by mapping the full landscape of some 57,000 cells, 150 million synapses and their accompanying 23 centimeters of blood vessels, researchers report in the May 10 Science. The full results, the scientists hope, may lead to greater insights into how the human brain works. “We’re going in and looking at every individual connection attached to every cell — a very high level of detail,” says Viren Jain, a computational neuroscientist at Google Research in Mountain View, Calif. The big-picture goal of brain mapping efforts, he says, is “to understand how human brains work and what goes wrong in various kinds of brain diseases.” The newly mapped brain sample was removed during a woman’s surgery for epilepsy, so that doctors could reach a deeper part of the brain. The bit, donated with the woman’s consent, was from the temporal lobe of the cortex, the outer part of the brain involved in complex mental feats like thinking, remembering and perceiving. This digital drawing of a person's head shows the brain inside. An arrow points to the bottom left side of the brain. After being fixed in a preservative, the brain bit was sliced into almost impossibly thin wisps, and then each slice was imaged with a high-powered microscope. Once these views were collected, researchers used computers to digitally reconstruct the three-dimensional objects embedded in the piece of brain. © Society for Science & the Public 2000–2024
Related chapters from BN: Chapter 2: Functional Neuroanatomy: The Cells and Structure of the Nervous System; Chapter 7: Life-Span Development of the Brain and Behavior
Related chapters from MM:Chapter 2: Neurophysiology: The Generation, Transmission, and Integration of Neural Signals; Chapter 13: Memory and Learning
Link ID: 29324 - Posted: 05.25.2024
By Carissa Wong Researchers have mapped a tiny piece of the human brain in astonishing detail. The resulting cell atlas, which was described today in Science1 and is available online, reveals new patterns of connections between brain cells called neurons, as well as cells that wrap around themselves to form knots, and pairs of neurons that are almost mirror images of each other. The 3D map covers a volume of about one cubic millimetre, one-millionth of a whole brain, and contains roughly 57,000 cells and 150 million synapses — the connections between neurons. It incorporates a colossal 1.4 petabytes of data. “It’s a little bit humbling,” says Viren Jain, a neuroscientist at Google in Mountain View, California, and a co-author of the paper. “How are we ever going to really come to terms with all this complexity?” The brain fragment was taken from a 45-year-old woman when she underwent surgery to treat her epilepsy. It came from the cortex, a part of the brain involved in learning, problem-solving and processing sensory signals. The sample was immersed in preservatives and stained with heavy metals to make the cells easier to see. Neuroscientist Jeff Lichtman at Harvard University in Cambridge, Massachusetts, and his colleagues then cut the sample into around 5,000 slices — each just 34 nanometres thick — that could be imaged using electron microscopes. Jain’s team then built artificial-intelligence models that were able to stitch the microscope images together to reconstruct the whole sample in 3D. “I remember this moment, going into the map and looking at one individual synapse from this woman’s brain, and then zooming out into these other millions of pixels,” says Jain. “It felt sort of spiritual.” When examining the model in detail, the researchers discovered unconventional neurons, including some that made up to 50 connections with each other. “In general, you would find a couple of connections at most between two neurons,” says Jain. Elsewhere, the model showed neurons with tendrils that formed knots around themselves. “Nobody had seen anything like this before,” Jain adds. © 2024 Springer Nature Limited
Related chapters from BN: Chapter 7: Life-Span Development of the Brain and Behavior; Chapter 2: Functional Neuroanatomy: The Cells and Structure of the Nervous System
Related chapters from MM:Chapter 13: Memory and Learning; Chapter 2: Neurophysiology: The Generation, Transmission, and Integration of Neural Signals
Link ID: 29304 - Posted: 05.14.2024
By Miryam Naddaf Scientists have developed brain implants that can decode internal speech — identifying words that two people spoke in their minds without moving their lips or making a sound. Although the technology is at an early stage — it was shown to work with only a handful of words, and not phrases or sentences — it could have clinical applications in future. Similar brain–computer interface (BCI) devices, which translate signals in the brain into text, have reached speeds of 62–78 words per minute for some people. But these technologies were trained to interpret speech that is at least partly vocalized or mimed. The latest study — published in Nature Human Behaviour on 13 May1 — is the first to decode words spoken entirely internally, by recording signals from individual neurons in the brain in real time. “It's probably the most advanced study so far on decoding imagined speech,” says Silvia Marchesotti, a neuroengineer at the University of Geneva, Switzerland. “This technology would be particularly useful for people that have no means of movement any more,” says study co-author Sarah Wandelt, a neural engineer who was at the California Institute of Technology in Pasadena at the time the research was done. “For instance, we can think about a condition like locked-in syndrome.” The researchers implanted arrays of tiny electrodes in the brains of two people with spinal-cord injuries. They placed the devices in the supramarginal gyrus (SMG), a region of the brain that had not been previously explored in speech-decoding BCIs. © 2024 Springer Nature Limited
Related chapters from BN: Chapter 2: Functional Neuroanatomy: The Cells and Structure of the Nervous System; Chapter 19: Language and Lateralization
Related chapters from MM:Chapter 2: Neurophysiology: The Generation, Transmission, and Integration of Neural Signals; Chapter 15: Language and Lateralization
Link ID: 29302 - Posted: 05.14.2024
By Angie Voyles Askham The ability of amphibians to metamorphosize and, in some cases, regenerate limbs and even brain tissue raises puzzling yet fundamental questions about how a nervous system wires itself up. For example, if a frog’s legs don’t exist when its brain begins to develop—those limbs later replace its tadpole tail—how are the neural connections maintained such that, once the legs take shape, a frog can move them? “How many connections are there between the spinal cord and the brain? How do they change over metamorphosis?” asks Lora Sweeney, assistant professor at the Institute of Science and Technology Austria. To find out, Sweeney and her colleagues decided to screen a panel of adeno-associated viruses (AAVs) in two species of frog and a newt. These viruses are commonly used to genetically manipulate brain cells in rodents and monkeys, but they have not been proven useful in amphibian experiments. With the right techniques, most common AAVs can deliver genes to amphibian cells through a process called transduction, according to Sweeney’s unpublished results, though the most effective viruses vary by species. These amphibian-friendly AAVs can be used to trace neuronal connections and track groups of neurons born at the same time, the new work shows. And a subset of these same AAVs can also transduce cells in axolotls, newts’ fuzzy-gilled Mexican cousins, according to another preprint from an independent team. Both preprints were posted on bioRxiv in February. “It’s a big game-changer,” says Helen Willsey, assistant professor of psychiatry at the University of California, San Francisco, who was not involved in either study but works with amphibian models. “It opens up a lot of doors for new experiments.” Other researchers had previously tried to get AAVs to transduce cells in frogs and fish, with little success. © 2024 Simons Foundation
Related chapters from BN: Chapter 6: Evolution of the Brain and Behavior; Chapter 2: Functional Neuroanatomy: The Cells and Structure of the Nervous System
Related chapters from MM:Chapter 2: Neurophysiology: The Generation, Transmission, and Integration of Neural Signals
Link ID: 29267 - Posted: 04.24.2024