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Saturday, June 22, 2013

Placebo EFFECT

The Placebo Phenomenon

 
An ingenious researcher finds the real ingredients of “fake” medicine.
Two weeks into Ted Kaptchuk’s first randomized clinical drug trial, nearly a third of his 270 subjects complained of awful side effects. All the patients had joined the study hoping to alleviate severe arm pain: carpal tunnel, tendinitis, chronic pain in the elbow, shoulder, wrist. In one part of the study, half the subjects received pain-reducing pills; the others were offered acupuncture treatments. And in both cases, people began to call in, saying they couldn’t get out of bed. The pills were making them sluggish, the needles caused swelling and redness; some patients’ pain ballooned to nightmarish levels. “The side effects were simply amazing,” Kaptchuk explains; curiously, they were exactly what patients had been warned their treatment might produce. But even more astounding, most of the other patients reported real relief, and those who received acupuncture felt even better than those on the anti-pain pill. These were exceptional findings: no one had ever proven that acupuncture worked better than painkillers. But Kaptchuk’s study didn’t prove it, either. The pills his team had given patients were actually made of cornstarch; the “acupuncture” needles were retractable shams that never pierced the skin. The study wasn’t aimed at comparing two treatments. It was designed to compare two fakes.
Although Kaptchuk, an associate professor of medicine, has spent his career studying these mysterious human reactions, he doesn’t argue that you can simply “think yourself better.” “Sham treatment won’t shrink tumors or cure viruses,” he says.
But researchers have found that placebo treatments—interventions with no active drug ingredients—can stimulate real physiological responses, from changes in heart rate and blood pressure to chemical activity in the brain, in cases involving pain, depression, anxiety, fatigue, and even some symptoms of Parkinson’s.
The challenge now, says Kaptchuk, is to uncover the mechanisms behind these physiological responses—what is happening in our bodies, in our brains, in the method of placebo delivery (pill or needle, for example), even in the room where placebo treatments are administered (are the physical surroundings calming? is the doctor caring or curt?). The placebo effect is actually many effects woven together—some stronger than others—and that’s what Kaptchuk hopes his “pill versus needle” study shows. The experiment, among the first to tease apart the components of placebo response, shows that the methods of placebo administration are as important as the administration itself, he explains. It’s valuable insight for any caregiver: patients’ perceptions matter, and the ways physicians frame perceptions can have significant effects on their patients’ health.
For the last 15 years, Kaptchuk and fellow researchers have been dissecting placebo interventions—treatments that, prior to the 1990s, had been studied largely as foils to “real” drugs. To prove amedicine is effective, pharmaceutical companies must show not only that their drug has the desired effects, but that the effects are significantly greater than those of a placebo control group. Both groups often show healing results, Kaptchuk explains, yet for years, “We were struggling to increase drug effects while no one was trying to increase the placebo effect.”
Last year, he and colleagues from several Harvard-affiliated hospitals created the Program in Placebo Studies and the Therapeutic Encounter (PiPS), headquartered at Beth Israel Deaconess Medical Center—the only multidisciplinary institute dedicated solely to placebo study. It’s a nod to changing attitudes in Western medicine, and a direct result of the small but growing group of researchers like Kaptchuk who study not if, but how, placebo effects work. Explanations for the phenomenon come from fields across the scientific map—clinical science, psychology, anthropology, biology, social economics, neuroscience. Disregarding the knowledge that placebo treatments can affect certain ailments, Kaptchuk says, “is like ignoring a huge chunk of healthcare.” As caregivers, “we should be using every tool in the box.”
Western medicine, however, has been slow to agree with him—partly because of his message, and in his case, often because of the messenger. An acupuncturist by training, he is an unlikely leader in the halls of academia. With a degree in Chinese medicine from an institute in Macao, Kaptchuk is one of the few faculty members at Harvard Medical School (HMS) with neither a Ph.D. nor M.D.—“a debit, not a credit at most medical schools,” says Finland professor of clinical pharmacology emeritus Peter Goldman, one of his early Harvard advisers. (Kaptchuk’s diploma is recognized as a doctorate in many states, but not in Massachusetts.) When Kaptchuk came to Harvard in 1995, “he knew about Chinese herbs and healing needles, and he’d written a very fine book on Chinese medicine [The Web That Has No Weaver (1983)],” says Goldman, “but he didn’t know the first thing about how to conduct clinical studies.”
Kaptchuk joined the faculty as an instructor in medicine and apprenticed himself to several seasoned clinicians and investigators. Within a few years, he was winning National Institutes of Health grants and publishing in medicine’s top journals. “What his colleagues saw was a fierce intellect and curiosity,” said Goldman. “He was asking questions no one was asking.”
Ironically, says Kaptchuk, it was his success as an acupuncturist that made him leave the profession for academia. “Patients who came to me got better,” he says, but sometimes their relief began even before he’d started his treatments. He didn’t doubt the value of acupuncture, but he suspected something else was at work. His hunch was that it was his engagement with patients—and perhaps even the act of caring itself.
For his ideas to gain traction with Western doctors, however, Kaptchuk knew he needed scientific proof. His chance would come in the early 2000s in a collaboration with gastroenterologists studying irritable bowel syndrome (IBS), a chronic gastrointestinal disorder accompanied by pain and constipation. The experiment split 262 adults with IBS into three groups: a no-treatment control group, told they were on a waiting list for treatment; a second group who received sham acupuncture without much interaction with the practitioner; and a third group who received sham acupuncture with great attention lavished upon them—at least 20 minutes of what Kaptchuk describes as “very schmaltzy” care (“I’m so glad to meet you”; “I know how difficult this is for you”; “This treatment has excellent results”). Practitioners were also required to touch the hands or shoulders of members of the third group and spend at least 20 seconds lost in thoughtful silence.
The results were not surprising: the patients who experienced the greatest relief were those who received the most care. But in an age of rushed doctor’s visits and packed waiting rooms, it was the first study to show a “dose-dependent response” for a placebo: the more care people got—even if it was fake—the better they tended to fare.
Kaptchuk’s innovative studies were among the first to separate components of the placebo effect, explains Applebaum professor of medicine Russell Phillips, director of the Center for Primary Care at HMS. For years, doctor-patient interactions were lumped into a generic “placebo response”: a sum of such variables as patients’ reporting bias (a conscious or unconscious desire to please the researchers); patients simply responding to doctors’ attention; the different methods of placebo delivery; and symptoms subsiding without treatment—the inevitable trajectory of most chronic ailments. “There was simply no way to quantify the ritual of medicine,” says Phillips of the doctor-patient interaction. And the ritual, he adds, is the one finding from placebo research that doctors can apply to their practice immediately.
But other placebo treatments (sham acupuncture, pills, or other fake interventions) are nowhere near ready for clinical application—and Kaptchuk is not recommending that they should be. Such treatments all require deception on the part of doctors, an aspect of placebo medicine that raises serious ethical questions for practitioners.
This was disturbing for Kaptchuk, too; deception played no role in his own success as a healer. But years of considering the question led him to his next clinical experiment: What if he simply told people they were taking placebos? The question ultimately inspired a pilot study, published by the peer-reviewed science and medicine journal PLOS ONE in 2010, that yielded his most famous findings to date. His team again compared two groups of IBS sufferers. One group received no treatment. The other patients were told they’d be taking fake, inert drugs (delivered in bottles labeled “placebo pills”) and told also that placebos often have healing effects.
The study’s results shocked the investigators themselves: even patients who knew they were taking placebos described real improvement, reporting twice as much symptom relief as the no-treatment group. That’s a difference so significant, says Kaptchuk, it’s comparable to the improvement seen in trials for the best real IBS drugs.
Although this IBS “open-label” study was small and has yet to be replicated, fellow placebo researcher Frank Miller of the department of bioethics at the National Institutes of Health considers it a significant step toward legitimizing placebo studies. But to really change minds in mainstream medicine, Miller says, researchers have to show biological evidence that minds actually change—a feat achieved only in the last decade through imaging technology such as positron emission tomography (PET) scans and functional magnetic resonance imaging (fMRI).
The first evidence of a physiological basis for the placebo effect appeared in the late 1970s, when researchers studying dental patients found that by chemically blocking the release of endorphins—the brain’s natural pain relievers—scientists could also block the placebo effect. This suggested that placebo treatments spurred chemical responses in the brain that are similar to those of active drugs, a theory borne out two decades later by brain-scan technology. Researchers like neuroscientist Fabrizio Benedetti at the University of Turin have since shown that many neurotransmitters are at work—including chemicals that use the same pathways as opium and marijuana. Studies by other researchers have shown that placebos increase dopamine (a chemical that affects emotions and sensations of pleasure and reward) in the brains of Parkinson’s patients, and patients suffering from depression who’ve been given placebos reveal changes in electrical and metabolic activity in several different regions of the brain.
Kaptchuk’s team has investigated the neural mechanisms of placebos in collaboration with the Martinos Center for Biomedical Imaging at Massachusetts General Hospital. In two fMRI studies published in the Journal of Neuroscience in 2006 and 2008, they showed that placebo treatments affect the areas of the brain that modulate pain reception, as do negative side effects from placebo treatment—“nocebo effects.” (Nocebo is Latin for “I shall harm”; placebo means “I shall please.”) But nocebo effects also activate the hippocampus, a different area associated with memory and anxiety. As happened with Kaptchuk’s patients in the “pill versus needle” study, the headaches, nausea, insomnia, and fatigue that result from fake treatments can be painfully real, afflicting about a quarter of those assigned to placebo treatment in drug trials(see “The Nocebo Effect,” May-June 2005). “What we ‘placebo neuroscientists’…have learned [is] that therapeutic rituals move a lot of molecules in the patients’ brain, and these molecules are the very same as those activated by the drugs we give in routine clinical practice,” Benedetti wrote in an e-mail. “In other words, rituals and drugs use the very same biochemical pathways to influence the patient’s brain.” It’s those advances in “hard science,” he added, that have given placebo research a legitimacy it never enjoyed before.
This new visibility has encouraged not only research funds but also interest from healthcare organizations and pharmaceutical companies. As healthcare companies increasingly reward doctors for maintaining patients’ health (rather than for the number of procedures they perform), “research like Ted’s becomes increasingly relevant,” says Minot professor of medicine and HMS dean for graduate education David Golan, a professor of biological chemistry and molecular pharmacology.
This year, the Robert Wood Johnson Foundation, the nation’s largest philanthropy focused on health and healthcare, awarded Kaptchuk’s PiPS program a $250,000 grant to support a series of seminars at Harvard designed to connect placebo experts with researchers in related fields. And the latest findings to emerge from PiPS—a 2012 study showing that genetic variations may explain why only certain people respond to placebo effects—has caught the attention of the Food and Drug Administration.
That study, published last Octoberin PLOS ONE, showed that patients with a certain variation of a gene linked to the release of dopamine were more likely to respond to sham acupuncture than patients with a different variation—findings that could change the way pharmaceutical companies conduct drug trials, says Gunther Winkler, principal of ASPB Consulting, LLC, which advises biotech and pharmaceutical firms. Companies spend millions of dollars and often decades testing drugs; every drug must outperform placebos if it is to be marketed. “If we can identify people who have a low predisposition for placebo response, drug companies can preselect for them,” says Winkler. “This could seriously reduce the size, cost, and duration of clinical trials…bringing cheaper drugs to the market years earlier than before.”
Not all of Kaptchuk’s studies have been so warmly received. Though few academics quarrel with the quality of his research, he’s remained a prime target for such watchdog groups as Quackwatch and The Skeptics’ Society, organizations that question nonconventional medical approaches. (Other well-known targets include Deepak Chopra, Andrew Weil ’63, M.D. ’68, and the late Nobel Prize winner Linus Pauling.) In 2011, he and a team of researchers published a paper in The New England Journal of Medicine (NEJM) that raised the hackles of some of his fiercest critics.
That paper (praised by scholars as one of the most carefully controlled and definitive placebo studies ever done) described a study of 40 asthma patients given four different interventions: active treatments with real albuterol inhalers; placebo treatments with fake inhalers that delivered no medication; sham acupuncture treatments; and intervals with no treatment at all. The patients returned for 12 sequential visits, receiving each type of treatment three times—a novel approach in placebo study that created a large amount of data (480 treatments in total) and turned subjects into their own controls (if patients are compared to themselves from one treatment to the next, researchers can eliminate subjects’ individual differences as a variable). The researchers had hoped to find improved lung function with both the real and sham treatments; what they found instead was that only the real treatment yielded results—the others showed no significant improvement. Yet when Kaptchuk’s team measured patients’ own assessments of improvement, the researchers found no difference reported between the real and sham treatments: the patients’subjective responses directly contradicted their own objective physical measures.
To Dr. Harriet Hall, a retired family physician who writes critically about alternative and complementary medicine for such publications as Skeptic Magazine and Skeptical Inquirer, this discrepancy between objective and subjective results is precisely where the danger lies. As she told a reporter for The Atlantic in December 2011, following the publication of Kaptchuk’s NEJM study, “Asthma can be fatal. If the patient’s lung function is getting worse but a placebo makes them feel better, they might delay treatment until it is too late.”
To Kaptchuk’s team, on the other hand, the conflicting results not only reveal important lessons for researchers and clinicians, but illuminate a gap that is central to placebo research. “Placebos have limitations, and we need to know what they are,” Kaptchuk says. “We’d hoped for measurable objective changes in breathing; what we got instead was a more precise diagram of placebo effects and how clearly the ritual of medicine makes people more comfortable.” That in itself is important information, he says. “Our job is to make people feel better,” and though this study was small, “what we’ve really done here is open up a new set of questions.” No one has yet studied how long-term experience with the ritual of medicine might ultimately affect the course of chronic afflictions, he says. “We hope we’ve opened up that path.”
Kaptchuk and his team have begun to take steps in that direction, continuing to ask new questions and push the boundaries of placebo research. A study published online this past year in the Proceedings of the National Academy of Sciences demonstrated that the placebo response can occur even at the unconscious level. The team showed that images flashed on a screen for a fraction of a second—too quickly for conscious recognition—could trigger the response,but only if patients had learned earlier to associate those specific images with healing. Thus, when patients enter a room containing medical equipment they associate with the possibility of feeling better, “the mind may automatically make associations that lead to actual positive health outcomes,” says psychiatry research fellow Karin Jensen, the study’s lead author.
Those findings led to the team’s most recent work: imaging the brains of physicians whilethey treat patients—a side of the treatment equation that no one had previously examined. (The researchers constructed an elaborate set-up in which the doctors lay in fMRI machines specially equipped to enable them both to see their patients outside the machine and administer what they thought was a nerve-stimulating treatment.) “Doctors give subtle cues to their patients that neither may be aware of,” Kaptchuk explains. “They are a key ingredient in the ritual of medicine.” The hope is that the new brain scans will reveal how doctors’ unconscious thought figures into the treatment recipe.
Within academia, Kaptchuk and his fellow researchers have not escaped criticism, but the voices have been few and far between. The most notable appeared in 2001 in the NEJM—the same publication that included Kaptchuk’s asthma study a decade later. In a paper titled, “Is the Placebo Powerless?” two Danish researchers reviewed 114 published studies involving 7,500 patients and questioned both the research methods and the short duration of most placebo studies. Many of the trials reviewed lacked “no-treatment” groups—an important control group missing even in Kaptchuk’s first “pill versus needle” study.
But Kaptchuk’s response to such criticism is perhaps as rare in academia as his pedigree. “If I remember correctly,” said Asbjorn Hrobjartsson, the lead author of that 2001 paper during a recent phone conversation, “Ted was already thinking along the same lines as we were and realized [our paper] pointed out real methodological problems.” When Hrobjartsson came to speak at Harvard a year later, he stayed at Kaptchuk’s home, and in 2011, the two coauthored a paper (with the NIH’s Frank Miller) on biases and best practices in placebo study.
When Kaptchuk talks about Hrobjartsson’s 2001 paper now, he winces, then nods with acceptance. “At first when I read it, I worried I’d be out of a job,” he says. “But frankly, [Hrobjartsson] was absolutely right.” In order to legitimize his findings to mainstream practitioners, the results must be expertly quantified, he acknowledges. “We have to transform the art of medicine into the science of care.”

Wednesday, June 19, 2013

TED - Interesting Neuroscience talks

T.E.D. (Technology, Entertainment, Design.)

T.E.D. is born in 1984 with a innovation to show different subjects to world in reality: 

Since then its scope has become ever broader, Now its growing stronger and wider in all fields- one among the fields is Neuroscience.

On ted.com it's  possible to find many talks to take inspiration, and it is all for free!

1)How to look inside the brain by Carl Schoonover

http://www.ted.com/talks/carl_schoonover_how_to_look_inside_the_brain.html


2)how do brain work - playlist of 8 lectures
http://www.ted.com/playlists/1/how_does_my_brain_work.html

3)The Human Connectome Project - Relating Brain Circuits to Behavior: David Van Essen at TEDxCaltech

http://tedxtalks.ted.com/video/The-Human-Connectome-Project-Re

* Will be updated with interesting videos about neuroscience in future.
*Please provide links in comments if you find or remembering interesting videos link below.

Thanks
Neurokish

Tuesday, June 11, 2013

BRAIN MAPPING

THREE BIG DOUBTS ABOUT BRAIN-MAPPING EFFORTS

Neuroscience research has come a hell of a long way since the days of scalpels and electrodes.
While some research teams are exploring the molecular machinery that churns at the hearts of nerve cells, others are working to assemble wiring diagrams for whole regions of the human brain. Just as biological science never looked the same once Watson and Crick explained the structure of DNA, neuroscience is transforming into a field filled with laser-controlled neurons, programmable stem cells and micro-scale brain scans.
Beyond all this excitement, though, looms a far more vast and ambitious goal – one whose scale and complexity exceed even the mapping of the human genome. Over the past several years, a growing group of scientists have been fighting for the idea that we can (and should) produce, within our lifetimes, a digital map of every function of every one of the trillions of synaptic connections in a human brain: A complete human connectome. Teams around the world, such as the minds behind the Human Connectome Project, are already working hard toward this goal, often freely sharing the data they discover along the way.
The Human Connectome Project's first huge data sets are already freely available to scientists around the world.
The Human Connectome Project’s first huge data sets are already freely available to scientists around the world.
Meanwhile, this February, the White Houseannounced the launch of the Brain Initiative, a decade-spanning effort to build a “Brain Activity Map” or BAM – a simulation, in other words, of all the activity in a human brain, from the cellular level on up. The project’s launch budget is $100 million, and some scientists expect that costs will soar into the billions before it starts cranking out useful data.
Unsurprisingly, this has stirred up a hurricane of press coverage – not all of it positive. While some advocates of the BAM project promise that it’ll unleash a wealth of new cures for neurological and psychological diseases, opponents argue that even billions of dollars and years of research won’t be enough to decode the brain’s workings on such a comprehensive scale – especially if, as some anti-BAM pundits say, we’re still a long way from knowing how the brain even encodes information at all.
I’ve put together a little write-up on three of the biggest BAM bones of contention. Though I can’t cover the whole issue in detail with just one article, these summaries should help you score some points in a BAM-related argument – and give you some fuel for your own exploration. So let’s see what (some of) this fuss is all about.

Doubt #1: Do we have the computing power to simulate a whole human brain?
Nvidia's "Titan" supercomputer, which (as of April 2013) holds the world speed record of 20 petaflops.
Nvidia’s “Titan” supercomputer, which (as of April 2013) holds the world speed record of 20 petaflops.
The BAM invites a lot of comparisons – both positive and negative – with the Human Genome Project of the 1990s. Both are long-term projects, both are hugely expensive, and both involve number-crunching and analysis on scales that demand tight cooperation from top scientists and universities around the globe.
But whereas the Human Genome Project set out to map somewhere in the neighborhood of 20,000 to 25,000 genes, all of them constructed from the same four nucleotide molecules, a map of the human connectome would have to incorporate the behavior of at least 84 billion neurons and as many as 150 trillion synapses – all communicating via a dizzying menagerie of messenger chemicals, not to mention physically reshaping themselves as a brain grows and learns.
Estimates vary widely on the question of how much computing power it’ll take to simulate a whole human brain, but even the most optimistic experts believe it’ll take a computer capable of performing at least 1 quintillion (that’s 1,000,000,000,000,000,000) floating point operations per second (1 exaflop). By comparison, your average home computer processor maxes out around 7 million flops (7 gigaflops), a fast graphics card can reach over 300 million flops (300 gigaflops), and the latest supercomputer processors clock in at a little over 20 quadrillion flops (20 petaflops). So, on that front at least, our resources are rapidly approaching the goal – scientists at Intel predict that we’ll be computing in exaflops before this decade is over.
But raw computing power is only one part of the equation. In the most basic sense, even the most advanced computer is just a machine that follows instructions – so even after we’ve built our exaflopping supercomputer, we’ll still need to know what instructions to give it.

Carlos Brody, a neuroscientist at Princeton’s Brodylab, has added a clarification of his own to this section. Here’s what he has to say:
“I think Doubt #1 is about the European Human Brain project, not about the U.S.-based BRAIN Initiative. The way I’ve understood it, the Europeans, with their billion-euro Human Brain project, are trying to simulate every neuron in a brain. In contrast, the U.S.-based BRAIN Initiative/BAM is about developing the technology to allow us to record the activity of every neuron in a brain. Not simulate, but measure what’s there. It’s a big difference, because in order to simulate you have to build in a lot of knowledge we don’t yet have (i.e., put in a giant truckload of untested assumptions). That is largely why many people think the simulation effort is pointless, there’s so many untested assumptions going in that what you end up with may bear little to no relation to an actual brain. The goal of measuring the activity, as in BAM, is to gain that knowledge we don’t yet have.”
Thanks, Dr. Brody, for your insight into that distinction!


Doubt #2: Do we know enough about brains to know what we’re attempting?
All human DNA is made up of just four "bases," known as nucleotides: Adenine, cytosine, guanine and thymine.
The Human Genome Project set out to map the position – but not necessarily the function – of each nucleotide in all 23 human chromosomes.
Contrary to oft-repeated belief, the Human Genome Project’s goal was never to decode the function of every gene in human DNA – it was to map (sequence) the order and position of every nucleotide molecule in all 23 human chromosomes.
Scientists have only begun to make a dent in decoding the 20,000+ genes whose positions the Human Genome Project mapped. Even today, leading researchers are still debating how many genes the human genome actually contains – let alone what functions most of those genes encode. And that’s more than half a century after Watson and Crick described, in detail, the way that DNA encodes recipes for manufacturing the molecules that make up our bodies.
When it comes to the brain, on the other hand, the world’s top neuroscientists are still puzzling over the question of how neural activity encodes information at all. We’re using computers to construct videos of entire visual scenes based on the brain activity of people watching them – but that’s only after recording brain scans of dozens of patients as they watched hundreds of videos, then telling a computer to reverse the process and assemble a video that matches the brain activity patterns it sees.
This is no small achievement, to be sure – but even so, it’s sorta like learning to recognize whether the letters in a book are Chinese, Japanese or Arabic (assuming you don’t read any of those languages). You might be able to match a new book with the country that produced it, and maybe even recognize whether it’s, say, a novel or a dictionary. But none of that tells you much of anything about what a specific line on the page actually says.
This is one of the trickiest questions for BAM advocates to answer – and the answers tend to come in two main flavors. One response is that the fastest way to crack the neural code is to try simulating it digitally – just as the fastest way to learn a new language is to start writing and speaking it yourself. Another response is that a base-level understanding of the code may not be necessary for a rich and detailed understanding of how a brain works. Scientists have already mapped the functions and interactions of all 302 neurons in the nervous system of the tiny roundworm known as C. elegans. Even without knowing exactly how these neurons encode information, we’ve still built up a precise understanding of how each of them influences other neurons and muscle cells throughout the worm’s body.
Although the human brain’s 84 billion neurons aren’t exactly a small step up from C. elegans‘s 302, it stands to reason that if we do develop software and hardware that can simulate all our neurons’ interactions, we’ll be in a much better position to pinpoint specific processes and problems down at the cellular level.

Doubt #3: Will an epic mapping project produce useful results?
Just as no two humans share exactly the same set of genes, no two human brains are wired in exactly the same way.
Just as no two humans share exactly the same set of genes, no two human brains are wired in exactly the same way.
BAM critics like to draw a third unflattering parallel between the BAM project and the Human Genome Project: As the Human Genome Project approached completion, its White House advocates predicted that a sequenced human genome would lead to cures for diseases like cancer and Alzheimer’s, along with “a complete transformation in therapeutic medicine.” But more than a decade after the Project’s completion, very few of those medical benefits have actually materialized.
What has resulted from the Human Genome Project is a vast storehouse of data on how human DNA differs from that of other animals – and from one human being to another. This means that when we consider the outcome of the BAM, it’s important to keep our sights not on vague and grandiose promises about cures for poorly understood problems, but on what we can be sure would come out of a successful BAM project: A more detailed, accurate and integrated understanding of the human brain’s workings than we’ve ever had before.
If one thing about the BAM is certain, it’s that the project’s news coverage – and the intensity of the debates that coverage stirs up – will increase in step with the Brain Initiative’s funding demands and timing estimates. As I said at the beginning of this article, a few thousand words aren’t nearly enough to cover all the ink that’s already been spilled in the earliest stages of this debate – so jump into the comments and chime in with your own opinions, doubts, speculations and questions. Because in the end, the only way to resolve an argument is to talk it out.