Mostrando entradas con la etiqueta Neurología. Mostrar todas las entradas
Mostrando entradas con la etiqueta Neurología. Mostrar todas las entradas

jueves, 21 de agosto de 2014

Preparing Your Students for the Challenges of Tomorrow


Right now, you have students. Eventually, those students will become the citizens -- employers, employees, professionals, educators, and caretakers of our planet in 21st century. Beyond mastery of standards, what can you do to help prepare them? What can you promote to be sure they are equipped with the skill sets they will need to take on challenges and opportunities that we can't yet even imagine?

Following are six tips to guide you in preparing your students for what they're likely to face in the years and decades to come.
1. Teach Collaboration as a Value and Skill Set Students of today need new skills for the coming century that will make them ready to collaborate with others on a global level. Whatever they do, we can expect their work to include finding creative solutions to emerging challenges.
2. Evaluate Information Accuracy 
New information is being discovered and disseminated at a phenomenal rate. It is predicted that 50 percent of the facts students are memorizing today will no longer be accurate or complete in the near future. Students need to know 
  • how to find accurate information, and 
  • how to use critical analysis for 
  • assessing the veracity or bias and 
  • the current or potential uses of new information
These are the executive functions that they need to develop and practice in the home and at school today, because without them, students will be unprepared to find, analyze, and use the information of tomorrow.
3. Teach Tolerance 
In order for collaboration to happen within a global community, job applicants of the future will be evaluated by their ability for communication with, openness to, and tolerance for unfamiliar cultures and ideas. To foster these critical skills, today's students will need open discussions and experiences that can help them learn about and feel comfortable communicating with people of other cultures.
4. Help Students Learn Through Their Strengths 
Children are born with brains that want to learn. They're also born with different strengths -- and they grow best through those strengths. One size does not fit all in assessment and instruction. The current testing system and the curriculum that it has spawned leave behind the majority of students who might not be doing their best with the linear, sequential instruction required for this kind of testing. Look ahead on the curriculum map and help promote each student's interest in the topic beforehand. Use clever "front-loading" techniques that will pique their curiosity.

5. Use Learning Beyond the Classroom
New "learning" does not become permanent memory unless there is repeated stimulation of the new memory circuits in the brain pathways
. This is the "practice makes permanent" aspect of neuroplasticity where neural networks that are the most stimulated develop more dendrites, synapses, and thicker myelin for more efficient information transmission. These stronger networks are less susceptible to pruning, and they become long-term memory holders. Students need to use what they learn repeatedly and in different, personally meaningful ways for short-term memory to become permanent knowledge that can be retrieved and used in the future. Help your students make memories permanent by providing opportunities for them to "transfer" school learning to real-life situations.
6. Teach Students to Use Their Brain Owner's Manual
The most important manual that you can share with your students is the owner's manual to their own brains. When they understand how their brains take in and store information (PDF, 139KB), they hold the keys to successfully operating the most powerful tool they'll ever own. When your students understand that, through neuroplasticity, they can change their own brains and intelligence, together you can build their resilience and willingness to persevere through the challenges that they will undoubtedly face in the future.

How are you preparing your students to thrive in the world they'll inhabit as adults?


ORIGINAL: Edutopia 
Judy Willis MD's Profile

August 20, 2014

miércoles, 17 de julio de 2013

Rats Communicate Mind-to-Mind With Aid of Brain Implant

ORIGINAL: Health Line
by Rachel Barclay
July 12, 2013

A new brain-to-brain interface allows rats to directly share information and collaborate when making decisions, even from thousands of miles away.

In a groundbreaking study published earlier this year in Scientific Reports, a team of scientists has demonstrated that it's possible for a rat to transmit information directly into the brain of another rat.

In the past decade, increasingly sophisticated brain-machine interfaces have been developed to allow test animals—and more recently, human patients—to mentally control a robotic limb or move a cursor on a screen. The team, led by neurobiologist Dr. Miguel Nicolelis at the Duke University Medical Center, decided to take brain-machine interfaces to the next level.

"Our previous studies with brain-machine interfaces had convinced us that the brain was much more plastic than we had thought," Nicolelis said in a press release. "In those experiments, the brain was able to adapt easily to accept input from devices outside the body and even learn how to process invisible infrared light generated by an artificial sensor. So, the question we asked was, if the brain could assimilate signals from artificial sensors, could it also assimilate information input from sensors from a different body."

Two Bodies, One Mind

The researchers implanted pairs of rats with arrays of microelectrodes, devices a fraction of the width of a human hair, that lie directly on the surface of the brain. For each pair, one rat was dubbed the encoder; the other, the decoder. In a series of trials, the encoder rat was trained to perform a task in exchange for a sip of water, and the electrode array recorded its brain activity. Then that recorded activity was transmitted to the decoder rat’s brain, stimulating the electrodes in its brain in precisely the same pattern. By using its partner’s pattern, the decoder rat was able to make better decisions than it could on its own.

And learning went in both directions. The scientists designed the experiment so that when the decoder rat successfully performed its task, the encoder rat would receive an additional reward. Very quickly, the encoder rat learned to modify its brain activity, creating a smoother, stronger signal for its partner to read. The longer the two rats worked together, the more they altered their behavior to form a working team.

In one trial, the encoder rat was taught to pull a lever on the right or left of its cage when a light appeared over the lever, with about 95 percent accuracy. In the cage next to it, its partner, the decoder rat, was trained to pull the right or left lever, depending on a signal the scientists transmitted into its brain, with about 78 percent accuracy. Then, to test whether the encoder rat could teach the decoder rat which lever to pull, the scientists transmitted the encoder rat’s brainwaves to the decoder rat in real time.

Using the information received from the encoder rat, the decoder rat was able to pull the correct lever 70 percent of the time, far more accurately than chance would allow. When the decoder rat made a mistake, the encoder rat focused more and improved the quality of the signal it was sending to its friend. When the scientists switched the interface machine off, the decoder rat’s performance dropped back to no better than random chance.

To investigate the extent to which the two rats could align their senses, the team looked closely at the group of brain cells that processed information from the rats' whiskers. As in humans, the cells formed a “map” of the sensory input they were receiving. They found that after a period of transmitting the brain activity from the encoder rat into the decoder rat, the decoder rat's brain began to map out the encoder rat’s whiskers alongside its own.

This last finding is very promising for the advancement of prosthetics for people who have been paralyzed or suffered other nerve damage. It suggests that humans might able to not only learn to control a robotic limb, but also remap their brains to receive sensory information from the limb itself.

In the ultimate test of their technology, Nicolelis’s team decided to link together two rats in different countries. They partnered a rat in their lab in Durham, North Carolina, with a rat in a lab in Natal, Brazil. Despite thousands of miles over which the signal could degrade, the two rats were able to work together and cooperate in real time.

"So even though the animals were on different continents, with the resulting noisy transmission and signal delays, they could still communicate," said Miguel Pais-Vieira, a postdoctoral fellow and first author of the study, in a press release. "This tells us that we could create a workable network of animal brains distributed in many different locations."

Dawn of the Cyborg?

Right now, they’ve only linked two rats, but the researchers are working on building connections between groups of rats to see if they can collaborate on more complex tasks.

"We cannot even predict what kinds of emergent properties would appear when animals begin interacting as part of a brain-net,” Nicolelis said. “In theory, you could imagine that a combination of brains could provide solutions that individual brains cannot achieve by themselves."

Nicolelis’s discovery is on the vanguard of the expanding field of cybernetics. Crude structures like limbs aren’t the only robotic prostheses in development. A bionic eye was recently approved by the U.S. Food and Drug Administration (FDA).

Modern prosthetics even extend to the brain itself—a recent invention by Dr. Theodore Berger could allow one brain region to be replaced by a computer chip. In his study, Berger removed the hippocampus from rats, the brain region that allows all mammals to form new memories. Without a hippocampus, a rat cannot learn to run a maze.

In its place, he installed a chip that modeled the behavior of the hippocampus. Using the chip, the rat was able to learn to run the maze just fine; remove the chip, and the learning is gone. Whether another rat could then run the maze using the same chip remains untested, but Nicolelis’s research suggests it might be possible.

Computer-augmented and interconnectedminds have long had their place in science fiction and popular culture, but these discoveries might one day make the singularity a reality.

miércoles, 3 de julio de 2013

Surge in 'digital dementia'

ORIGINAL: The Telegraph
By Julian Ryall, Tokyo
24 Jun 2013

Doctors in South Korea are reporting a surge in "digital dementia" among young people who have become so reliant on electronic devices that they can no longer remember everyday details like their phone numbers.

Doctors in South Korea are reporting a surge in "digital dementia" among young people who have become so reliant on electronic devices
Photo: Getty Images
South Korea is one of the most digitally connected nations in the world and the problem of internet addiction among both adults and children was recognised as far back as the late 1990s.

That is now developing into the early onset of digital dementia – a term coined in South Korea – meaning a deterioration in cognitive abilities that is more commonly seen in people who have suffered a head injury or psychiatric illness.

"Over-use of smartphones and game devices hampers the balanced development of the brain," Byun Gi-won, a doctor at the Balance Brain Centre in Seoul, told the JoongAng Daily newspaper.

"Heavy users are likely to develop the left side of their brains, leaving the right side untapped or underdeveloped," he said.

The right side of the brain is linked with concentration and its failure to develop will affect attention and memory span, which could in as many as 15 per cent of cases lead to the early onset of dementia.

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Sufferers are also reported to suffer emotional underdevelopment, with children more at risk than adults because their brains are still growing.

The situation appears to be worsening, doctors report, with the percentage of people aged between 10 and 19 who use their smartphones for more than seven hours every day leaping to 18.4 per cent, an increase of seven per cent from last year.

More than 67 per cent of South Koreans have a smartphone, the highest in the world, with that figure standing at more than 64 per cent in teenagers, up from 21.4 per cent in 2011, according to the Ministry of Science, ICT and Future Planning.

Dr Manfred Spitzer, a German neuroscientist, published a book titled "Digital Dementia" in 2012 that warned parents and teachers of the dangers of allowing children to spend too much time on a laptop, mobile phone or other electronic devices.

Dr Spitzer warned that the deficits in brain development are irreversible and called for digital media to be banned from German classrooms before children become "addicted."

viernes, 4 de enero de 2013

America's Real Criminal Element: Lead

ORIGINAL: Mother Jones
New research finds Pb is the hidden villain behind violent crime, lower IQs, and even the ADHD epidemic. And fixing the problem is a lot cheaper than doing nothing.

Illustration: Gérard DuBois
WHEN RUDY GIULIANI RAN FOR MAYOR of New York City in 1993, he campaigned on a platform of bringing down crime and making the city safe again. It was a comfortable position for a former federal prosecutor with a tough-guy image, but it was more than mere posturing. Since 1960, rape rates had nearly quadrupled, murder had quintupled, and robbery had grown fourteenfold. New Yorkers felt like they lived in a city under siege.




More MoJo coverage of the dangers of lead.Throughout the campaign, Giuliani embraced a theory of crime fighting called "broken windows," popularized a decade earlier by James Q. Wilson and George L. Kelling in an influential article in The Atlantic. "If a window in a building is broken and is left unrepaired," they observed, "all the rest of the windows will soon be broken." So too, tolerance of small crimes would create a vicious cycle ending with entire neighborhoods turning into war zones. But if you cracked down on small crimes, bigger crimes would drop as well.

Giuliani won the election, and he made good on his crime-fighting promises by selecting Boston police chief Bill Bratton as the NYPD's new commissioner. Bratton had made his reputation as head of the New York City Transit Police, where he aggressively applied broken-windows policing to turnstile jumpers and vagrants in subway stations. With Giuliani's eager support, he began applying the same lessons to the entire city, going after panhandlers, drunks, drug pushers, and the city's hated squeegee men. And more: He decentralized police operations and gave precinct commanders more control, keeping them accountable with a pioneering system called CompStat that tracked crime hot spots in real time.

The results were dramatic. In 1996, the New York Times reported that crime had plunged for the third straight year, the sharpest drop since the end of Prohibition. Since 1993, rape rates had dropped 17 percent, assault 27 percent, robbery 42 percent, and murder an astonishing 49 percent. Giuliani was on his way to becoming America's Mayor and Bratton was on the cover of Time. It was a remarkable public policy victory.

But even more remarkable is what happened next. Shortly after Bratton's star turn, political scientist John DiIulio warned that the echo of the baby boom would soon produce a demographic bulge of millions of young males that he famously dubbed "juvenile super-predators." Other criminologists nodded along. But even though the demographic bulge came right on schedule, crime continued to drop. And drop. And drop. By 2010, violent crime rates in New York City had plunged 75 percent from their peak in the early '90s.

All in all, it seemed to be a story with a happy ending, a triumph for Wilson and Kelling's theory and Giuliani and Bratton's practice. And yet, doubts remained. For one thing, violent crime actually peaked in New York City in 1990, four years before the Giuliani-Bratton era. By the time they took office, it had already dropped 12 percent.

THE PB EFFECT
What happens when you expose a generation of kids to high lead levels? Crime and teen pregnancy data two decades later tell a startling story.


Second, and far more puzzling, it's not just New York that has seen a big drop in crime. In city after city, violent crime peaked in the early '90s and then began a steady and spectacular decline. Washington, DC, didn't have either Giuliani or Bratton, but its violent crime rate has dropped 58 percent since its peak. Dallas' has fallen 70 percent. Newark: 74 percent. Los Angeles: 78 percent.

There must be more going on here than just a change in policing tactics in one city. But what?

THERE ARE, IT TURNS OUT, plenty of theories. When I started research for this story, I worked my way through a pair of thick criminology tomes. One chapter regaled me with the "exciting possibility" that it's mostly a matter of economics: Crime goes down when the economy is booming and goes up when it's in a slump. Unfortunately, the theory doesn't seem to hold water—for example, crime rates have continued to drop recently despite our prolonged downturn.

Another chapter suggested that crime drops in big cities were mostly a reflection of the crack epidemic of the '80s finally burning itself out. A trio of authors identified three major "drug eras" in New York City, the first dominated by heroin, which produced limited violence, and the second by crack, which generated spectacular levels of it. In the early '90s, these researchers proposed, the children of CrackGen switched to marijuana, choosing a less violent and more law-abiding lifestyle. As they did, crime rates in New York and other cities went down.

Another chapter told a story of demographics: As the number of young men increases, so does crime. Unfortunately for this theory, the number of young men increased during the '90s, but crime dropped anyway.

There were chapters in my tomes on the effect of prison expansion. On guns and gun control. On family. On race. On parole and probation. On the raw number of police officers. It seemed as if everyone had a pet theory. In 1999, economist Steven Levitt, later famous as the coauthor of Freakonomics, teamed up with John Donohue to suggest that crime dropped because of Roe v. Wade; legalized abortion, they argued, led to fewer unwanted babies, which meant fewer maladjusted and violent young men two decades later.

But there's a problem common to all of these theories: It's hard to tease out actual proof. Maybe the end of the crack epidemic contributed to a decline in inner-city crime, but then again, maybe it was really the effect of increased incarceration, more cops on the beat, broken-windows policing, and a rise in abortion rates 20 years earlier. After all, they all happened at the same time.

To address this problem, the field of econometrics gives researchers an enormous toolbox of sophisticated statistical techniques. But, notes statistician and conservative commentator Jim Manzi in his recent book Uncontrolled, econometrics consistently fails to explain most of the variation in crime rates. After reviewing 122 known field tests, Manzi found that only 20 percent demonstrated positive results for specific crime-fighting strategies, and none of those positive results were replicated in follow-up studies.

DID LEAD MAKE YOU DUMBER?
Even low levels have a significant effect.

domingo, 21 de octubre de 2012

From Cooling System to Thinking Machine

ORIGINAL: Being Human
Carl Zimmer
10/10/2012

The Long, Strange History of Ideas About the Brain


Hilary Putnam is not a household name. The Harvard philosopher’s work on the nature of reality, meaning, and language may be required reading in graduate school, but Putnam’s fame hasn’t extended far beyond the academy. But one of Putnam’s thought experiments is familiar to millions of people: what it would be like to be a brain in a vat?

Here’s how Putnam presented the idea in his 1981 book, Reason, Truth, and History:

Imagine that a human being…has been subjected to an operation by an evil scientist. The person's brain…has been removed from the body and placed in a vat of nutrients which keeps the brain alive. The nerve endings have been connected to a super-scientific computer which causes the person whose brain it is to have the illusion that everything is perfectly normal. There seem to be people, objects, the sky, etc.; but really, all the person…is experiencing is the result of electronic impulses travelling from the computer to the nerve endings.

Philosophers have wondered for thousands of years how we can be sure whether what we’re experiencing is reality or some shadowy deception. Plato imagined people looking at shadows cast by a fire in a cave. Descartes imagined a satanic genius. Starting in the 1960s, philosophers began to muse about what it would be like to be a brain in a vat, with reality supplied by a computer. The story circulated in obscure philosophy journals for over a decade before Putnam laid it out in his book.

To track the rise of the “brain in a vat” story, I turned to the Google Ngram Viewer, a web site that can search for any word or phrase you supply in Google’s digital library of millions of books and magazines. After Putnam published his account, the story exploded, the number of times it appeared rising like a rocket into orbit. Hollywood made billions off the image, by making it the basis of the Matrix movie series.

But there’s something telling and important about the success of the brain in a vat that usually goes unremarked. Putnam’s story became an instant hit because it made sense. To see why this fact matters, imagine if Putnam had suggested you imagine an evil scientist had removed your heart, rather than your brain. He put your heart in a vat, and connected its veins and arteries to a computer, causing you to have the illusion that everything is perfectly normal.

This thought experiment would strike a modern listener as absurd. Of course, given the current state of technology, it’s also absurd to think that a human brain could be kept alive in a vat. And yet the idea that a scientist could create a full-fledged experience for someone in their brain remains plausible. It accords with how we think about the brain. We all know that the brain is where we receive sensations, store memories, experience emotions. We all know that all those sensations, memories, and emotions are encoded in electrical impulses in the brain. If indeed you could keep a brain alive, and if indeed you could supply it with the right electrical impulses, then it makes perfect sense that the person whose brain you had extracted would go on having the same experiences as before.

It’s a remarkable assumption when you think about it. None of us has held our own brain in our hands. We have no direct evidence from experience of how it works. Nevertheless, we all agree that the brain is the center of our world. It’s a world, after all, where the death of the brain is equivalent to death itself.

It was not always thus. Consider the words of Henry More, one of the leading English philosophers of the seventeenth century. In 1652, he wrote that the brain "shows no more capacity for thought than a cake of suet or a bowl of curds."

To us this seems like madness. But More was no fool. Given the philosophical and medical traditions in which he was educated, such a low view of the brain was eminently sensible.

For all the cognitive power that the human brain contains, it’s also exquisitely delicate. It has the consistency of custard. When an ancient anatomist decided to investigate the organs of a cadaver, he would have had no trouble pulling out the heart and manipulating its rugged chambers and valves. But after death, the brain’s enzymes make quick work of it. By the time the anatomist had sawed open the skull, he might well be looking at nothing but blush-colored goo. Who could ever think that in that goo could be found anything having to do with our very selves?

When ancient anatomists examined the heart, the brain, and the rest of the body, they came up with explanations for what each organ did. Many of their explanations feel weirdly alien today. Aristotle, for example, believed that the heart was responsible for perceptions and actions. The brain was something like a refrigerator. It was made of phlegm, which was cold by nature, and so its coldness could flow down to balance out the raging heat of the heart.

It may seem bizarre that the founder of Western biology could have gotten the brain so wrong. But Aristotle was working from what was known at the time, and what he could see for himself. There were no microscopes that could reveal to him the hidden filigree of neurons in the brain and the nervous system. No one in his day even knew that nerves existed.

Other scholars in ancient Greece looked a bit more favorably on the brain. Instead of an air conditioner, they viewed it more like a pump. The body was set in motion by animal spirits, which coursed through the nervous system, inflating them like string-shaped balloons. The spirits flowed through cavities in the head, and it was the job of the brain to squeeze down and pump them on their way.

Christian scholars in medieval Europe brought together the Bible with ancient Greek philosophy—including this view of the brain. In their books on anatomy, they drew absurdly confident atlases of the insides of the head, dominated by three ventricles linked by channels in a row. It somehow didn’t matter that no one could ever see such chambers in the brains of cadavers. Anatomists had an explanation at the ready: After death, the animal spirits departed the body, leaving the ventricles to collapse like sails on a windless day.

This vision—self-consistent and powerfully explanatory—held sway over many great minds. Even Leonardo da Vinci was in its thrall. Whereas previous generations of anatomists might simply consult the work of an ancient Greek writer, Leonardo wanted to see anatomy for himself. He filled notebooks with revelatory sketches of bone, muscle, and even fetuses in the womb. And to understand the structure of the brain, he devised a brilliant experiment. After having an ox slaughtered, Leonardo injected hot wax into its skull. He waited for the wax to cool, and then opened up the ox’s skull. The wax, having filled the ventricles of the brain, would preserve their structure.

In his notebook, we can see what Leonardo saw: that the ventricles looked nothing like the medieval chambers. They swept up through the brain like hollow horns or wriggled between the hemispheres. But we can also see how Leonardo imposed onto that anatomy his medieval ideas about how the brain worked. He created links between the ventricles where none existed, so that they could remain a channel for the animal spirits that he assumed gave life to the body.

Leonardo sought to publish his anatomical research, but eventually wars and other distractions forced him to abandon the project. No one was able to see his glimmerings of the brain’s true anatomy. It remained for a younger anatomist, Andreas Vesalius, to publish such an account in his 1543 masterpiece, De Humani Corporis Fabrica.

Vesalius’s method for drawing the brain was grisly. He would saw the skulls of cadavers (typically executed criminals) at different depths. Working his way down through the brain, he would draw each exposed layer. Working with other cadavers, he would cut off the entire top of the skull cap and slit apart the membranes, exposing the furrowed surface of the cerebral cortex.

It was all rather messy, and very far from complete. But it was better than anything anyone had achieved before—better even than Leonardo da Vinci, which is certainly saying something. Vesalius even went so far as to question the workings of the ventricles. But he shied away from proposing an alternative explanation. In the sixteenth century, such a proposal could have raised the ire of the church.

Nevertheless, Vesalius pushed anatomy in a new direction. Anatomists gradually began to publish their own research, not just on the structure of the body, but also on its function. The scientific revolution replaced the four humours of the body with atoms and molecules, subject to the laws of physics and chemistry. Natural philosophers recognized that the same kinds of chemical reactions that turned grape juice into wine were at work inside the human body. In 1664, this revolution eventually reached the brain. In that year, the English physician Thomas Willis published the first book dedicated to the organ: The Anatomy of the Brain and Nerves. It was also the first book to present accurate anatomical drawings of the brain in full.

Willis succeeded in large part thanks to the company he kept. His assistant Richard Lower (who would later go on to pioneer blood transfusions) ably dissected brains completely out of their skulls. Willis’s friend Robert Boyle discovered how to preserve delicate organs like brains in alcohol. Willis now had the luxury of time to examine the brain in detail. And Christopher Wren handled the medical illustrations and microscopic examinations of the brains.

Willis combined their insights with his own observations of thousands of patients, as well as careful experiments in which he injected ink into the cerebral arteries to trace their paths. This synthesis led Willis to a radically new picture of the brain and its functions. The ventricles, which had once channeled the animal spirits, were mere infoldings. Will argued that animal spirits traveled through paths inside the brain to carry out different functions. Damage to different parts of the brain, he argued, led to different kinds of disorders.

Like any scientist, Willis was still enmeshed in his age. He knew nothing about electricity, and so he could not guess that the phenomenon he witnessed in a lightning storm was taking place in his own head. Well over a century after his death did scientists such as Luigi Galvani discover that electric current could travel down nerves, finally banishing animal spirits from neurology.

In Galvani’s time, electricity was an amusement, the stuff of parlor tricks. No one imagined that it could power civilization. Nor could they imagine that electricity could deliver messages nearly instantaneously. In 1844 Samuel Morse set up the first commercial telegraph line from Washington to Baltimore, and one of the first messages transmitted on it came from the Democratic National Convention. The convention delegates, who had gathered in Baltimore, picked a senator named Silas Wright as their nominee for vice-president. They needed to know if Wright would accept or refuse the nomination, but he was in Washington. The president of the convention decided to send a message to Wright by telegraph.

Wright immediately wired back: No. The delegates refused to believe that a message could fly down a wire. They adjourned the convention and sent a flesh-and-blood committee by train to see Wright in person. Wright turned them down again. After the committee came back to Baltimore with the news, the convention president took some delegates to the telegraph office to see the machine for themselves. And yet, he later wrote, “many of the delegates shook their heads and could not but think the whole thing a deception.

Imagine how much they might have shaken their heads if they had been told that their experience of the telegraph was made possible by similar pulses of electricity traveling through their nerves and brains.

The telegraph’s dribble of digital pulses foreshadowed today’s torrents of Internet communication. By the mid-twentieth century, mathematicians had developed a method for using a digital system of ones and zeroes to carry out computations. Transistors sent signals to one another, combining flows of information to produce new outputs.

It became increasingly clear that brains and electronics shared much in common. In 1963, the neuroscientist Jose Delgado displayed their seamless union on a cattle ranch. He inserted an electrode into the brains of bulls, which he could activate with a remote control. The bulls charged toward Delgado, and with a touch of the remote, he could force them to skid to a halt within just a few feet of him.

To philosophers like Hilary Putnam, this must have been a thrilling moment. Indeed, even as Delgado was controlling animals with electrodes, Putnam was developing a computational theory of mind, in which sensations traveled into the brain as input, and the brain then functioned like a computer to produce output commands. Putnam was no neuroscientist and didn’t care much about the details of how one neuron connected to another. Instead, he argued that the structure of thought itself showed signs of being the product of computation. It didn’t much matter what carried out those computations—neurons or transistors could do the job. It was this cultural evolution that made the brain in a vat so easy for people to absorb. If, as Delgado had shown, electronics and the brain were seamless, then surely it should be possible for an evil scientist to have his way.

Over the past two decades, the brain-in-a-vat thought experiment has itself evolved. Imagine that you are facing death. Now imagine that a well-meaning scientist offers to make a perfect map of your brain, recording all 100 trillion synaptic connections that encode your memories, your feelings, everything that is you. She then uploads that information into an equally detailed model of a human brain, one that is capable of being supplied with inputs, and which then produces outputs of its own. Perhaps your uploaded mind exists solely within a virtual universe. Meanwhile, your biological brain dies off with your own failing body.

In some circles, brain uploading is considered a serious possibility as computers continue to grow more powerful, and as we learn more about the structure and the function of the brain. For philosophers, it presents a new puzzle. The computer of Hilary Putnam’s thought experiment extends its sphere, taking over the brain’s own computation, until there is no brain left. If you are uploaded into a computer, would your self still be yourself? How could you even know whether you’ve already been uploaded? How could you know if you had ever been outside of a computer?

These are entertaining questions to consider, but they are far from practical ones. The mind may indeed be computational, but that does not mean it resembles any computer humans have built. It processes information in a massively parallel fashion, rather than doing so sequentially, as manmade computers do. Its memory does not exist like bits on a hard drive, but in a distributed, dynamic pattern of connections. Its computations do not create a full-blown representation of the world, but only create useful predictions, which allow us to control our bodies.

Nor do our brains exist in isolation, like some laptop sitting on a table that can be simply powered up. They are embedded in bodies, and they have evolved to depend on a continual flow of feedback about how well their predictions have fared in the outside world. And, finally, out of all that computation, consciousness emerges. While many scientists are exploring the nature of consciousness in inventive ways, no one has a theory that makes sense of it yet.

Are we brains in a vat? Strictly speaking, it’s hard to prove we’re not. But in any world—real or manufactured—we still know so little about how brains work that we wouldn’t be able to put Putnam’s thought experiment into practice.


Carl Zimmer writes about science for the New York Times and magazines such as Discover, where he is a contributing editor and columnist. He is the author of twelve books, the most recent of which is Science Ink: Tattoos of the Science Obsessed.

photo by Gaetan Lee

miércoles, 11 de julio de 2012

Brains are Different on Macs

ORIGINAL: Neuroskeptic
THURSDAY, 14 JUNE 2012

Update - A number of articles linking to this post are wrongly stating that FreeSurfer is medical software used to diagnose diseases or measure the size of brain tumors. It's not. It is purely for research purposes as the software license states, "The Software has been designed for research purposes only and has not been reviewed or approved by the Food and Drug Administration or by any other agency. CLINICAL APPLICATIONS ARE NEITHER RECOMMENDED NOR ADVISED." 

Last month, neuroscientists were warned about potential biases in SPM8, a popular software tool for analysis of fMRI data.


FreeSurfer is one of the major image analysis packages and amongst other things, you can use it to measure the size of different parts of the brain. 

German Dutch researchers Ed Gronenschild and colleagues took a set of 30 brains and got FreeSurfer to estimate the size and thickness of various structures. Then they did the same thing, on the exact same brains, with a different version of the software.

They found substantial differences in regional volumes, depending upon the version of FreeSurfer used. Running the same version of the software on a Mac vs a PC also created differences, and even the version of Mac OS had an impact.

How much of a difference it made varied by brain location. The differences were 5-15% with version changes. For Mac vs PC and Mac OS updates it was less bad, 2-5% mostly, but in the worst regions - the parahippocampal and entorhinal cortex - it was still almost 15% different. Why those regions are so variable is unclear.

The paper goes into lots more detail, but the lesson for researchers is extremely simple: don't cross the streams of data-analysis. Set up your analysis stream and then use it on all of your data. Same hardware, same software, same settings.

Imagine you're doing a study comparing brain structure in two groups. Halfway through analyzing your data, you upgrade your MacOS. All of the brains you analyze after that will be, say, 5% "bigger". That'll certainly make your data much noisier, and if you happen to analyze most of Group A before Group B, it'll give you a false positive finding.

Sometimes you just can't avoid changes in hardware or software - IT techs have a habit of upgrading things without asking - but in these cases, you should run the same data under the old and the new regime to see if it's making a difference.

Finally, it would be wrong to blame FreeSurfer for this. I'd be surprised if they were any worse than the other software packages. Mixing and matching versions is something that the FreeSurfer developers specifically warn against. This paper shows why.

Gronenschild EH, Habets P, Jacobs HI, Mengelers R, Rozendaal N, van Os J, and Marcelis M (2012). The Effects of FreeSurfer Version, Workstation Type, and Macintosh Operating System Version on Anatomical Volume and Cortical Thickness Measurements. PloS one, 7 (6) PMID: 22675527


jueves, 17 de mayo de 2012

La UdeA anunció esperanzador estudio contra el Alzheimer

ORIGINAL: UdeA Noticias
17 de mayo de 2012

Un revolucionario estudio, que abre una nueva era de investigación sobre la prevención en la lucha contra el Alzheimer, fue presentado este miércoles 16 de mayo en la Sede de Investigacion Universitaria del Alma Máter.

Francisco Lopera, coordinador de grupo Neurociencias de Antioquia, ha investigado la enfermedad en las familias antioqueñas desde principios de la década de los ochenta.
Un ensayo clínico, que costará 100 millones de dólares, es la piedra angular de una nueva colaboración internacional cuyo objetivo es acelerar la evaluación de tratamientos prometedores para la prevención del Alzheimer.

El Instituto Nacional de Salud de Estados Unidos NIH, el Instituto Banner de Alzheimer BAI, Genentech y el Grupo de Investigación Neurociencias de la Universidad de Antioquia, trabajarán conjuntamente en el desarrollo de esta terapia preventiva para personas sanas, destinadas a desarrollar la enfermedad de Alzheimer debido a su historial genético.

En aproximadamente 300 personas que comparten una mutación genética que desencadena los síntomas de la enfermedad de Alzheimer, se estudiará el efecto de un tratamiento con un anticuerpo antiamiloideo llamado Crenezumab. El ensayo también incluirá un número más pequeño de personas de los Estados Unidos.

Este proyecto está diseñado para definir si el medicamento puede reducir las posibilidades de los participantes de desarrollar síntomas de la enfermedad incapacitante e irreversible, preservar la memoria y habilidades mentales, y retrasar la progresión de los biomarcadores de la enfermedad de Alzheimer.

Los doctores. Eric M. Reiman y Pierre N. Tariot ?del Instituto Banner de Alzheimer, en Phoenix, Arizona?, lideran la iniciativa, y también estarán al frente del ensayo clínico en estrecha cooperación con el equipo clínico y de investigación de Genentech y un equipo de investigadores colombianos, dirigido por Francisco Lopera, del Grupo de Neurociencias de la Universidad de Antioquia.

En conjunto, estos tres grupos han diseñado el estudio con la colaboración de otros destacados científicos y funcionarios del NIH y entidades regulatorias.

Si Crenezumab demuestra mantener la memoria y la cognición en personas que con certeza van a desarrollar la enfermedad de Alzheimer, los ensayos clínicos de prevención podrían ser diseñados para probar este y otros medicamentos anti-amiloide, en un segmento más amplio de la población.

Si los efectos del tratamiento en imágenes del cerebro y otras medidas biológicas de la enfermedad muestran un beneficio clínico, el estudio podría tener un gran impacto para desarrollar de manera mucho más rápida terapias futuras.

"Estamos muy agradecidos por la oportunidad de evaluar un tratamiento de prevención prometedor. Hemos tratado de diseñar el estudio de una manera que podría traer soluciones para la enfermedad de Alzheimer antes de que se pierda otra generación", dijo Reiman, director ejecutivo de BAI.

El NIH aportará una financiación para cinco años de 16 millones de dólares. El BAI entregará 15 millones de dólares procedentes de donaciones filantrópicas. Genentech aportará la mayor parte de los fondos, además de proporcionar el medicamento y la experiencia clínica y operativa para el diseño y la realización del estudio.

Dada la importancia de esta investigación, los datos y resultados serán compartidos públicamente después de su finalización, para ayudar a toda la comunidad de científicos que investiga la enfermedad de Alzheimer a encontrar maneras más rápidas para probar terapias prometedoras de prevención.

"Genentech está muy emocionado de ser parte de este esfuerzo histórico. Si el estudio demuestra que podemos prevenir la enfermedad en este grupo especial de pacientes, puede allanarse el camino a la prevención de la enfermedad de Alzheimer en la población general", dijo Richard H. Scheller, vicepresidente ejecutivo de Investigación y Desarrollo Temprano de Genentech.

Alrededor de 5,4 millones de estadounidenses viven con la enfermedad de Alzheimer hoy, una cifra que superará los 7,7 millones en el 2030. Para esa época, la enfermedad de Alzheimer y otras demencias, afectarán a casi 66 millones de personas en el mundo.

El estudio representa un cambio drástico en el enfoque de los investigadores para detectar, tratar y en última instancia, prevenir la enfermedad de Alzheimer.

Muchos investigadores en la comunidad clínica y científica creen que para el momento en el que aparecen los primeros síntomas de olvidos y de otras alteraciones cognitivas ya existe demasiado daño en el cerebro para que los tratamientos anti-amiloideos puedan ser eficaces. "Creemos que estas terapias potenciales deben ser iniciadas antes de la aparición de los primeros síntomas, cuando la persona es asintomática".

Los investigadores de BAI y del GNA ya han mostrado cómo por medio de imágenes cerebrales avanzadas, biomarcadores en el líquido cefalorraquídeo y otras medidas, se pueden identificar y rastrear cambios sutiles en el cerebro, asociados al Alzheimer en personas sanas con riesgo genético, muchos años antes de que sus primeros síntomas aparezcan. Se propuso la utilización de estas herramientas o biomarcadores en un ensayo clínico de prevención que no requeriría de una larga espera hasta que aparezcan los primeros síntomas.


Una esperanza para los pacientes

El nuevo estudio pondrá a prueba lo que se denomina la hipótesis amiloidea, que sugiere que la acumulación de amiloide en el cerebro desempeña un papel clave en la progresión de la enfermedad de Alzheimer.

Los estudios preclínicos indican que Crenezumab, una terapia de anticuerpos que Genentech está desarrollando en colaboración con la empresa suiza de biotecnología AC Immune S.A., se une a las proteínas amiloides y las “limpia” del cerebro.

Este medicamento se ha estudiado tanto en personas sanas como en personas con enfermedad de Alzheimer. Actualmente está siendo evaluado en un estudio clínico de fase II, en pacientes con síntomas leves o moderados de la enfermedad. No se han detectado problemas de seguridad significativos hasta la fecha. La droga fue seleccionada para este estudio de prevención con el asesoramiento de un comité de expertos.

"El ensayo clínico representa una esperanza grande para las familias colombianas", dijo Lopera, quien ha investigado la enfermedad en las familias Antioqueñas desde principios de la década de los ochenta.

"Para aquellos con la mutación genética, es una oportunidad para modificar su destino. Para aquellos que no son portadores, es una oportunidad de salvar a sus seres queridos. Todos quieren un futuro muy diferente".

Tanto para los participantes Colombianos como para los de Estados Unidos, Crenezumab se administrará a personas sanas mayores de 30 años. Los participantes en el estudio doble ciego, controlado con placebo, recibirán una inyección de crenezumab o de placebo a intervalos fijos durante un máximo de cinco años.

Los investigadores utilizarán técnicas avanzadas de imagen cerebral, análisis de líquido cefalorraquídeo y medidas cognitivas sensibles para controlar si la acumulación de amiloide y otras proteínas en el cerebro se reduce, y para evaluar si el tamaño del cerebro y su función se mantiene intacta. Y lo más importante, para evaluar si la memoria y funciones mentales se preservan con el tratamiento.

Para evitar la revelación del estado genético de los participantes, quienes no saben si portan la mutación, en el estudio se incluyen familiares no portadores que recibirán placebo.

"Somos conscientes de la responsabilidad a la que nos enfrentamos, no sólo para la comunidad científica, sino para las familias que van a participar en nuestro trabajo. Sin embargo, las posibilidades que tenemos por delante son enormes. Si este enfoque en la lucha contra la enfermedad de Alzheimer tiene éxito, tiene el potencial de transformar toda la investigación futura de tratamientos preventivos y de anunciar el comienzo del fin de esta devastadora enfermedad", dijo Tariot, Director de BAI.