Many in the general public think scientific and technological innovations bring helpful change to society, but they are more concerned than excited when it comes to the potential use of emerging technologies to make people's minds sharper, their bodies stronger and healthier than ever before, according to a new Pew Research Center survey.
The survey covers broad public reaction to scientific advances and examines public attitudes about the potential use of three specific emerging technologies for "human enhancement."
The nationally representative survey of more than 4,700 U.S. adults centered on public views about: gene editing that might give babies a lifetime with much reduced risk of serious disease, implantation of brain chips that potentially could give people a much improved ability to concentrate and process information, and transfusions of synthetic blood that might give people much greater speed, strength and stamina. The survey is part of a research package that also includes an analysis of focus groups and an essay summarizing experts' views on these topics.
A majority of Americans would be 'very' or 'somewhat' worried about gene editing (68%); brain chips (69%); and synthetic blood (63%), while no more than half say they would be enthusiastic about each of these developments. While some people say they would be both enthusiastic and worried, overall, concern outpaces excitement.
The tiny injectable machine could turn your noodle into a remote control.
The Pentagon is attempting what was, until recently, an impossible technological feat—developing a high-bandwidth neural interface that would allow people to beam data from their minds to external devices and back.
That’s right—a brain modem. One that could allow a soldier to, for example, control a drone with his mind.
This seemingly unlikely piece of technology has just gotten a lot less unlikely. On Feb. 8, the Defense Advanced Research Projects Agency (DARPA)—the U.S. military’s fringe-science wing—announced the first successful tests, on animal subjects, of a tiny sensor that travels through blood vessels, lodges in the brain and records neural activity.
The so-called “stentrode,” a combination stent and electrode, is the size of a paperclip and flexible. The tiny, injectable machine—the invention of neurologist Tom Oxley and his team at the University of Melbourne in Australia—could help researchers solve one of the most vexing problems with the brain modem: how to insert a transmitter into the brain without also drilling a hole in the user’s head, a risky procedure under any circumstances.
Based on existing stents that doctors use to clean blood vessels, the stentrode includes sensors and a tiny transmitter. Entering the bloodstream via a catheter, the stentrode swims in the bloodstream.
Doctors monitor the stentrode on its journey through the circulatory system. When the device reaches the brain, the physicians command it to expand against the blood vessels’ walls and hold station. There it remains for potentially months at a time, recording and relaying the subtle electrical signals that flow from the brain to the rest of the body.
Scientists showed that they could alter brain activity of rats and either wake them up or put them in an unconscious state by changing the firing rates of neurons in the central thalamus, a region known to regulate arousal. The study, published in eLIFE, was partially funded by the National Institutes of Health.
"Our results suggest the central thalamus works like a radio dial that tunes the brain to different states of activity and arousal," said Jin Hyung Lee, Ph.D., assistant professor of neurology, neurosurgery and bioengineering at Stanford University, and a senior author of the study.
Located deep inside the brain the thalamus acts as a relay station sending neural signals from the body to the cortex. Damage to neurons in the central part of the thalamus may lead to problems with sleep, attention, and memory. Previous studies suggested that stimulation of thalamic neurons may awaken patients who have suffered a traumatic brain injury from minimally conscious states.
A team led at Newcastle University, UK, has shed light on the evolutionary roots of language in the brain.
Publishing in Nature Communications, the team led by Dr Ben Wilson and Professor Chris Petkov explain how using an imaging technique to explore the brain activity in humans and monkeys has identified the evolutionary origins of cognitive functions in the brain that underpin language and allow us to evaluate orderliness in sequences of sounds.
This new knowledge will help our understanding of how we learn - and lose - language such as in aphasia after a stroke or in dementia.
Scanning the brains of humans and macaque monkeys, the research team has identified the area at the front of the brain which in both humans and monkeys recognises when sequences of sounds occur in a legal order or in an unexpected, illegal order.
Professor Petkov said: "Young children learn the rules of language as they develop, even before they are able to produce language. So, we used a 'made up' language first developed to study infants, which our lab has shown the monkeys can also learn. We then determined how the human and monkey brain evaluates the sequences of sounds from this made up language."
The team first had the humans and monkeys listen to example sequences from the made up language, allowing them to hear what were correct orderings in the sequence of sounds. They then scanned the brain activity of both species as they listened to new sequences that either had a correct order or could not have been generated by the made up language.
Functional magnetic resonance imaging (fMRI) revealed that in both groups a corresponding region of the brain - the ventral frontal and opercular cortex - responded to the order that both species had learned to expect.
These results suggest that the function of this frontal region, which is one of the areas involved in processing the order of words in a sentence in human language, is shared in both humans and primates, revealing its evolutionary origins. This brain region seems to monitor the orderliness, or organisation, of what is heard, which is an important cognitive function that provides a foundation for the more complex language abilities of humans.
These results provide first evidence that some of the functions of this brain area, which include understanding language in humans, are shared by other animals.
The record of arthropod body fossils is traceable back to the “Cambrian explosion,” marked by the appearance of most major animal phyla. Exceptional preservation provides crucial evidence for panarthropod early radiation. However, due to limited representation in the fossil record of internal anatomy, particularly the CNS, studies usually rely on exoskeletal and appendicular morphology. Recent studies [ 1–3 ] show that despite extreme morphological disparities, euarthropod CNS evolution appears to have been remarkably conservative. This conclusion is supported by descriptions from Cambrian panarthropods of neural structures that contribute to understanding early evolution of nervous systems and resolving controversies about segmental homologies [ 4–12 ]. However, the rarity of fossilized CNSs, even when exoskeletons and appendages show high levels of integrity, brought into question data reproducibility because all but one of the aforementioned studies were based on single specimens [ 13 ]. Foremost among objections is the lack of taphonomic explanation for exceptional preservation of a tissue that some see as too prone to decay to be fossilized. Here we describe newly discovered specimens of the Chengjiang euarthropod Fuxianhuia protensa with fossilized brains revealing matching profiles, allowing rigorous testing of the reproducibility of cerebral structures. Their geochemical analyses provide crucial insights of taphonomic pathways for brain preservation, ranging from uniform carbon compressions to complete pyritization, revealing that neural tissue was initially preserved as carbonaceous film and subsequently pyritized. This mode of preservation is consistent with the taphonomic pathways of gross anatomy, indicating that no special mode is required for fossilization of labile neural tissue.
Some insight on how Amazon's robopocalyptic warehouses work. In the future, all warehouses will have embraced the robopocalypse even more than Amazon has!
A simple injection is now all it takes to wire up a brain. A diverse team of physicists, neuroscientists and chemists has implanted mouse brains with a rolled-up, silky mesh studded with tiny electronic devices, and shown that it unfurls to spy on and stimulate individual neurons.
The implant has the potential to unravel the workings of the mammalian brain in unprecedented detail. “I think it’s great, a very creative new approach to the problem of recording from large number of neurons in the brain,” says Rafael Yuste, director of the Neurotechnology Center at Columbia University in New York, who was not involved in the work.
If eventually shown to be safe, the soft mesh might even be used in humans to treat conditions such as Parkinson’s disease, says Charles Lieber, a chemist at Harvard University on Cambridge, Massachusetts, who led the team.
Prior studies suggest that fructose compared with glucose may be a weaker suppressor of appetite, and neuroimaging research shows that food cues trigger greater brain reward responses in a fasted relative to a fed state. We sought to determine the effects of ingesting fructose versus glucose on brain, hormone, and appetitive responses to food cues and food-approach behavior. Twenty-four healthy volunteers underwent two functional magnetic resonance imaging (fMRI) sessions with ingestion of either fructose or glucose in a double-blinded, random-order cross-over design. fMRI was performed while participants viewed images of high-calorie foods and nonfood items using a block design. After each block, participants rated hunger and desire for food. Participants also performed a decision task in which they chose between immediate food rewards and delayed monetary bonuses. Hormones were measured at baseline and 30 and 60 min after drink ingestion. Ingestion of fructose relative to glucose resulted in smaller increases in plasma insulin levels and greater brain reactivity to food cues in the visual cortex (in whole-brain analysis) and left orbital frontal cortex (in region-of-interest analysis). Parallel to the neuroimaging findings, fructose versus glucose led to greater hunger and desire for food and a greater willingness to give up long-term monetary rewards to obtain immediate high-calorie foods. These findings suggest that ingestion of fructose relative to glucose results in greater activation of brain regions involved in attention and reward processing and may promote feeding behavior.
An experimental Pentagon program has already developed two types of a highly advanced, Terminator-like prosthetic arm.
What's more, a quadriplegic woman with sensors implanted onto her brain controlled one of the robotic limbs to grab a cup, shake hands and eat a chocolate bar. She even flew an F-35 Joint Strike Fighter simulator using just her thoughts.
Now, the Defense Advanced Research Projects Agency (DARPA) wants to expand on that cutting-edge work to build other potential breakthrough medical technologies, including a pacemaker-sized device that might someday improve the memory of troops who suffered a traumatic brain injury. Think of it as a hard drive of sorts for the brain.
"We know we need a next-generation device that doesn't exist today," said Justin Sanchez, who manages DARPA's Biological Technologies Office in Arlington, Virginia. "That's what these new programs are all about -- not only understanding the brain and these conditions, but building the hardware that enables us to address those issues. You need both."
Why does it take so long for human children to grow up? A male chimp and male human, for example, both end up with the same body weight but they grow very differently: at year one the human weighs twice that of the chimp but at eight the chimp is twice that of the human. The chimp then gains its adult weight by 12 – six years before the human. A male gorilla is also a faster growing primate – a 330-pound male gorilla weighs 110 pounds by its fifth birthday and 265 pounds by its tenth.
Clues to the answer can be found in the young human brain’s need for energy. Radioactive tracers allow scientists to measure the glucose used in different areas of the brain but this procedure is only used rarely when it is justified by investigating neurological problems. However, the few cases we do have reveal how radically different the childhood brain is from that in adults or infants.
From about the age of four to puberty, the young brain guzzles glucose – the cerebral cortex, its largest part, uses nearly (or more than) double that used earlier or later in life. This creates a problem. A child’s body is a third of the size of an adult but its brain is nearly adult-sized. Calculated as a share, a child’s takes up half of all the energy used by a child.
A protein that may partly explain why human brains are larger than those of other animals has been identified by scientists from two stem-cell labs at UC San Francisco, in research published in the November 13, 2014 issue of Nature.
Key experiments by the UCSF researchers revealed that the protein, called PDGFD, is made in growing brains of humans, but not in mice, and appears necessary for normal proliferation of human brain stem cells growing in a lab dish.
The scientists made their discovery as part of research in which they identified genes that are activated to make specific proteins in crucial stem cells in the brain known as radial glial cells. The discovery stems from a collaboration between the laboratories of leading radial glial cell scientist Arnold Kriegstein MD, PhD, director of the Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research at UCSF, and Michael Oldham, PhD, who recently made a rapid career leap from graduate student to principal investigator and Sandler Fellow at UCSF.
Radial glial cells make the neurons in the growing brain, including the neurons in the cerebral cortex, the seat of higher brain functions. The cerebral cortex varies in size 10,000-fold among mammals. Changes in the timing, location and degree of cell division and nerve cell generation by radial glial cells can dramatically alter the shape and function of the cortex.
The UCSF team discovered that PDGFD is secreted by human radial glial cells and acts on radial glial cells as well as other progenitor cells in the developing brain.
The human brain is often described as a massively parallel computing machine. That raises an interesting question: just how parallel is it?
Today, we get an answer thanks to the work of Harris Georgiou at the National Kapodistrian University of Athens in Greece, who has counted the number of “CPU cores” at work in the brain as it performs simple tasks in a functional magnetic resonance imaging (fMRI) machine. The answer could help lead to computers that better match the performance of the human brain.
We describe the first direct brain-to-brain interface in humans and present results from experiments involving six different subjects. Our non-invasive interface, demonstrated originally in August 2013, combines electroencephalography (EEG) for recording brain signals with transcranial magnetic stimulation (TMS) for delivering information to the brain. We illustrate our method using a visuomotor task in which two humans must cooperate through direct brain-to-brain communication to achieve a desired goal in a computer game. The brain-to-brain interface detects motor imagery in EEG signals recorded from one subject (the “sender”) and transmits this information over the internet to the motor cortex region of a second subject (the “receiver”). This allows the sender to cause a desired motor response in the receiver (a press on a touchpad) via TMS. We quantify the performance of the brain-to-brain interface in terms of the amount of information transmitted as well as the accuracies attained in (1) decoding the sender’s signals, (2) generating a motor response from the receiver upon stimulation, and (3) achieving the overall goal in the cooperative visuomotor task. Our results provide evidence for a rudimentary form of direct information transmission from one human brain to another using non-invasive means.
Falk and colleagues [Falk D, Zollikofer CP, Morimoto N, Ponce de León MS (2012) Proc Natl Acad Sci U S A 109(22):8467–8470] hypothesized that selective pressures favored late persistence of a metopic suture and open anterior fontanelle early in hominin evolution, and they put an emphasis on the Taung Child (Australopithecus africanus) as evidence for the antiquity of these adaptive features. They suggested three mutually nonexclusive pressures: an “obstetric dilemma,” high early postnatal brain growth rates, and neural reorganization in the frontal cortex. To test this hypothesis, we obtained the first high-resolution computed tomography (CT) data from the Taung hominin. These high-resolution image data and an examination of the hominin fossil record do not support the metopic and fontanelle features proposed by Falk and colleagues. Although a possible remnant of the metopic suture is observed in the nasion–glabella region of the Taung partial cranium (but not along the frontal crest), this character state is incongruent with the zipper model of metopic closure described by Falk and colleagues. Nor do chimpanzee and bonobo endocast data support the assertion that delayed metopic closure in Taung is necessary because of widening (reorganization) of the prefrontal or frontal cortex. These results call into question the adaptive value of delaying metopic closure, and particularly its antiquity in hominin evolution. Further data from hominoids and hominins are required to support the proposed adaptive arguments, particularly an obstetric dilemma placing constraints on neural and cranial development in Australopithecus.
ONE moment you're conscious, the next you're not. For the first time, researchers have switched off consciousness by electrically stimulating a single brain area.
Scientists have been probing individual regions of the brain for over a century, exploring their function by zapping them with electricity and temporarily putting them out of action. Despite this, they have never been able to turn off consciousness – until now.
Although only tested in one person, the discovery suggests that a single area – the claustrum – might be integral to combining disparate brain activity into a seamless package of thoughts, sensations and emotions. It takes us a step closer to answering a problem that has confounded scientists and philosophers for millennia – namely how our conscious awareness arises.
The machines might be getting smarter, but they're still a long way off from emulating the dizzying complexity of the human brain. We don’t even understand how our own brains work yet. But the Human Brain Project, which is funded by the EU and was launched towards the end of last year, plans to work on both of these simultaneously.
It aims to build a model of the complete human brain “in silico,” or on a supercomputer, in order to give neuroscientists a new tool to understand how the brain functions, as well as informing technologies that could emulate the brain’s computing power. According to its vision statement, “The goal of the project is to build a completely new ICT infrastructure for neuroscience, and for brain-related research in medicine and computing, catalysing a global collaborative effort to understand the human brain and its diseases and ultimately to emulate its computational capabilities.”
Neuroscientists were over the moon in April 2013 when President Barack Obama announced a bold new initiative to study the human brain in action. But in their heady excitement, some may have forgotten to check the math in their first proposals. At least, that's the contention of a group of physicists, engineers, and neuroscientists meeting this week in Arlington, Virginia, to discuss which ideas are likely to succeed and which may fall flat.
Key to the success of the roughly $100 million Brain Research through Advancing Innovative Neurotechnologies (BRAIN) Initiative is crafting new tools or methods to measure neural activity either from inside or outside the brain. Unfortunately, some ideas “violated either a physical law or some very significant engineering constraint or biological constraint,” says neurophysicist Partha Mitra of Cold Spring Harbor Laboratory in New York, who helped organize the meeting, sponsored by the National Science Foundation.
The goal is to have a realistic discussion of what the physical limits are, he says, so “scientists who want to make devices will not make crazy proposals,” or, “if a proposal is crazy, one could recognize it as such” and look for other ways to make the idea work.
One such “fanciful” idea is to build nanosized radios that could snuggle up to individual neurons to record and transmit information about their activity, says physicist Peter Littlewood, director of Argonne National Laboratory in Lemont, Illinois. But any radio small enough to be injected into the brain without causing significant harm would not be able to transmit any information out through tissue and bone, he says. Make the devices any more powerful, he adds, and they'd likely cook the surrounding brain. Another aspiration that is likely doomed is to get microscopes that probe the brain with pulses of light to penetrate much further than they already do, Mitra says. A little more than 1 mm is possible, he adds, but even 1 cm is “out of the question, since the signal to background [noise] ratio decreases exponentially with depth.”
But physicists and engineers shouldn't simply shoot down outlandish proposals—or gripe about the intrinsic messiness of the brain's biology. They should model themselves as “fancy technicians” who can help develop revolutionary tools, Littlewood says. There are precedents for such collaboration, he notes: He, Mitra, and their colleagues at Bell Labs, for example, helped develop functional magnetic resonance imaging in the 1990s.
Harvard neuroscientists have made a discovery that turns 160 years of neuroanatomy on its head.
Myelin, the electrical insulating material long known to be essential for the fast transmission of impulses along the axons of nerve cells, is not as ubiquitous as thought, according to a new work lead by Professor Paola Arlotta of the Harvard Stem Cell Institute (HSCI) and the University's Department of Stem Cell and Regenerative Biology, in collaboration with Professor Jeff Lichtman, of Harvard's Department of Molecular and Cellular Biology.
"Myelin is a relatively recent invention during evolution," says Arlotta. "It's thought that myelin allowed the brain to communicate really fast to the far reaches of the body, and that it has endowed the brain with the capacity to compute higher level functions." In fact, loss of myelin is a feature of a number of devastating diseases, including multiple sclerosis and schizophrenia.
But the new research shows that despite myelin essential roles in the brain, "some of the most evolved, most complex neurons of the nervous system have less myelin than older, more ancestral ones" Arlotta, co-director of the HSCI neuroscience program, says.
What this means, Arlotta says, is that the higher in the cerebral cortex one looks – the closer to the top of the brain, which is its most evolved region - the less myelin one finds. Not only that, but "neurons in this part of the brain display a brand new way of positioning myelin along their axons that has not been previously seen. They have 'intermittent myelin' with long axon tracts that lack myelin interspersed among myelin-rich segments.
The brain is an incredibly complex organ. The tiny mouse brain, for example, contains over 86 million neurons, each with over 1,000 different connections, clustered in different groupings. In a sense, the neural networks resemble a complex highway system between cities. To navigate the brain, researchers are going to need some maps, and two of the most detailed maps have just been created.
Scientists from the Allen Institute for Brain Science in Seattle pored through massive data sets to build two new maps: one of gene expression in the developing human brain, and another of neural networks in a mouse brain. The maps, which are publicly available, will serve as resources for researchers around the world.
Already, the data are revealing valuable insights about formation of autism and the way mammalian brains process information. Scientists shared their findings in two separate papers published today in the journal Nature.
