Showing posts with label neural connectivity. Show all posts
Showing posts with label neural connectivity. Show all posts

Friday, February 07, 2014

An Antidote for Mindlessness by Maria Konnikova (The New Yorker)

In this brief article for The New Yorker, psychologist and science author Maria Konnikova offers a quick overview of the origins of mindfulness in cognitive psychology, beginning with Ellen Langer (author of Mindfulness [1990], The Power of Mindful Learning [1998], and Counterclockwise: Mindful Health and the Power of Possibility [2009], among other books), who was one of the first cognitive psychologists to realize the potential of mindfulness as a therapeutic tool.

An Antidote for Mindlessness

Posted by Maria Konnikova
January 29, 2014 | The New Yorker



In the mid-nineteen-seventies, the cognitive psychologist Ellen Langer noticed that elderly people who envisioned themselves as younger versions of themselves often began to feel, and even think, like they had actually become younger. Men with trouble walking quickly were playing touch football. Memories were improving and blood pressure was dropping. The mind, Langer realized, could have a strong effect on the body. That realization led her to study the Buddhist principle of mindfulness, or awareness, which she characterizes as “a heightened state of involvement and wakefulness.”

But mindfulness is different from the hyperalert way you might feel after a great night’s sleep or a strong cup of coffee. Rather, Langer writes, it is “a state of conscious awareness in which the individual is implicitly aware of the context and content of information.” To illustrate the concept—or, rather, its opposite—Langer often recounts a shopping experience. Once, when Langer was paying for an item at a store, a clerk noticed that the back of her credit card wasn’t signed. After asking her to sign it, the clerk compared the scrawl on the receipt with the one on the card, to insure that no fraud was being committed. That, says Langer, is perfect mindlessness.

One of the first cognitive scientists to study mindfulness in an experimental setting, divorced from its spiritual trappings, Langer remained for years a lonely voice. But the past decade or so has seen a tremendous uptick in empirical research, as scientific collaborations with nontraditional schools, like the Dalai Lama’s Mind and Life Institute, have become more mainstream. We now know, for instance, that even brief mindfulness practice—typically, a kind of meditation that focuses on a particular aspect of the present moment, like your breath, your body, or a particular sensation—has a substantial positive effect on mental well-being and memory. It also appears to physically improve the brain, strengthening certain neural structures that are tied to heightened attention and focus, and bolstering connectivity in the brain’s default mode network, which is linked to self-monitoring and control.

When Amishi Jha, a neuroscientist who directs the University of Miami’s Contemplative Neuroscience, Mindfulness Research, and Practice Initiative, first began researching the effects of mindfulness on cognitive performance, in the early aughts, most of the existing studies focused on what could be easily tested: the effects of short bouts of intense practice on immediate cognitive performance. There had been comparatively little work done on the lasting impacts of mindfulness training, especially under conditions of high stress—the equivalent of evaluating the impact of a week of training on the results of a two-hundred-yard dash versus examining the effects of months of training on a marathon time. “The bulk of my work looks at high-stress cohorts, to see how mindfulness training can be protective against long-term stress,” Jha told me. It was also unclear how little meditation one could get away with and still emerge more mindful. “How low can you go? How little time can it take to sufficiently train people?” Jha said.

To test both the long-term impact of mindfulness and whether there might be a meditation equivalent of “Seven-Minute Abs,” Jha took a set of University of Miami students and split them into two groups, one that would receive mindfulness training and another that wouldn’t. “Their stress goes up throughout the semester, so you can really track performance over time—the natural decline caused by stress,” she said. The semester-long test would allow her to see whether mindfulness could benefit people in an increasingly hostile mental environment.

Jha designed a series of short, weekly training sessions, where students learned the basics of mindfulness theory and how to practice it—for instance, learning to focus on their breath while dismissing any intruding thoughts. In addition to a twenty-minute session with an instructor, they were asked to come in for two twenty-minute practice sessions each week, for seven weeks. The combined hour of instruction and practice each week was far less extreme than previous mindfulness-training courses that Jha had developed; one that she created for the military totaled twenty-four hours of practice.

About two weeks into the semester, before the training began, the students were asked to complete several tests. First, they performed a series of tasks that required sustained attention. In one, they watched a string of digits appear on a screen, and were told to press the keyboard’s space bar every time a new digit appeared, unless that digit was a “3.” At a few points in the study, the flow of digits was interrupted by questions about the participant’s attention span. In two subsequent tests, the students were assessed on their working memory capacity (how many letters in a list could they remember after solving an unrelated math problem?) and delayed-recognition working memory (could they quickly and accurately distinguish a face they had already seen from a set of new faces?). All of the students performed at roughly the same level.

Nine weeks later, when the students were tested again, large performance gaps had emerged: as the semester dragged on, the control group performed worse than they had originally, while the students who received mindfulness training became more accurate and focused. Jha’s regimen, it seemed, wasn’t just a way to get better; it was a way to keep from getting worse.

Mindfulness training, Jha hypothesizes, may work as a protective factor against the typical stresses of student life—or any stress, for that matter, since it improves emotional equilibrium and enables people to better handle distractions. “It’s similar to how physical exercise can change the body,” Jha said. “We know that physical activity helps our bodies, but we’re just coming to the understanding that mental exercise is also critical to promoting mental well-being. It’s a cultural shift.”

~ Maria Konnikova is the author of “Mastermind: How to Think Like Sherlock Holmes.”

Friday, April 06, 2012

Sebastian Seung and the Human Connectome Project


Sebastian Seung has a new book out, Connectome: How the Brain's Wiring Makes Us Who We Are, that documents current research into "mapping out our neural connections in our brains might be the key to understanding the basis of things like personality, memory, perception and ideas, as well as illnesses that happen in the brain, like autism and schizophrenia."

 Seung gave a TED Talk at Oxford in 2010:

Sebastian Seung: I am my connectome




Sebastian Seung is mapping a massively ambitious new model of the brain that focuses on the connections between each neuron. He calls it our "connectome," and it's as individual as our genome -- and understanding it could open a new way to understand our brains and our minds. Seung is a leader in the new field of connectomics, currently the hottest space in neuroscience, which studies, in once-impossible detail, the wiring of the brain.
Over the last month or so, Seung and the Human Connectome Project have been getting a lot of press. Below are four of the more prominent articles.

 A map of neurons of the mouse retina, reconstructed automatically by artificial intelligence from electron microscopic images.
A. Zlateski based on data from K. Briggman, M. Helmstaedter, and W. Denk/MIT/Seung
A map of neurons of the mouse retina, reconstructed automatically by artificial intelligence from electron microscopic images.

February 29, 2012

Our brains are filled with billions of neurons, entangled like a dense canopy of tropical forest branches. When we think of a concept or a memory — or have a perception or feeling — our brain's neurons quickly fire and talk to each other across connections called synapses.

How these neurons interact with each other — and what the wiring is like between them — is key to understanding our identity, says Sebastian Seung, a professor of computational neuroscience at MIT.

Seung's new book, Connectome: How the Brain's Wiring Makes Us Who We Are, explains how mapping out our neural connections in our brains might be the key to understanding the basis of things like personality, memory, perception and ideas, as well as illnesses that happen in the brain, like autism and schizophrenia.

"These kinds of disorders have been a puzzle for a long time," says Seung. "We can look at other brain diseases, like Alzheimer's disease and Parkinson's disease, and see clear evidence that there is something wrong in the brain."

But with schizophrenia and autism, there's no clear abnormality during autopsy dissections, says Seung.

"We believe these are brain disorders because of lots of indirect evidence, but we can't look at the brain directly and see something is wrong," he says. "So the hypothesis is that the neurons are healthy, but they are simply connected together or organized in an abnormal way."

One current theory, says Seung, is that there's a connection between the wiring that develops between neurons during early infancy and developmental disorders like schizophrenia and autism.

"In autism, the development of the brain is hypothesized to go awry sometime before age 2, maybe in the womb," he says. "In schizophrenia, no one knows for sure when the development is going off course. We know that schizophrenia tends to emerge in early adulthood, so many people believe that something abnormal is happening during adolescence. Or it could be that something is happening much earlier and it's not revealed until you become an adult."

What scientists do know, he says, is that the wiring of the brain in the first three years is critical for development. Infants born with cataracts in poor countries that don't have the resources to restore their eyesight remain blind even after surgery is performed on them later in life.

"No matter how much they practice seeing, they can never really see," says Seung. "They recover some visual function, but they are still blind by comparison to you and me. And one hypothesis is that the brain didn't wire up properly when they were babies, so by the time they become adults, there's no way for the brain to learn how to see properly."

At birth, he says, you are born with all of the neurons you will ever have in life, except for neurons that exist in two specific areas of the brain: the dentate gyrus of the hippocampus, which is thought to help new memories form, and the olfactory bulb, which is involved in your sense of smell.

"The obvious hypothesis [is] that these two areas need to be highly plastic and need to learn more than other regions, and that's why new neurons have to be created — to give these regions more potential for learning," says Seung. "But we don't really have any proof of that hypothesis."

But not everything is set in stone from birth. The complex synaptic connections that allow neurons to communicate with one another develop after babies have left the womb.

"As far as we know, this is happening throughout your life," he says. "Part of the reason that we are lifelong learners — that no matter how old you get, you can still learn something new — may be due to the fact that synapse creation and elimination are both continuing into adulthood."
Connectomes: Reverse-Engineering The Brain
Only one organism has had its full connectome — or neural map — mapped out by neuroscientists. It's a tiny worm no bigger than a millimeter, but it took scientists more than a dozen years to map out its 7,000 neural connections. They started out by using the world's most powerful knife and slicing the worm into slices a thousand times thinner than a human hair. They then put each slice in an electron microscope and created a 3-D image of the worm's nervous system. That's when the true labor started, says Seung.

"That's when [neuroscientists had to] go through all these images and trace out the paths taken by all of the branches of the neurons and find the synapses, and compile all that information to create the connectome," he says.

Each of the worm's 300 neurons had between 20 and 30 connections. In comparison, humans have 10,000 connections of neurons — and billions of neurons. And scientists still aren't sure what the various pathways in a worm's nervous system mean.

"We're still far away from understanding the worm," says Seung. He says that scientists would like to eventually map a 1-millimeter cube of a human brain or a mouse brain, which contains 100,000 neurons and a billion connections.

"The imaging of all of those slices of brain can be automated and made much more reliable," he says. "And now we have computers that are getting better at seeing."

So far, though, neuroscientists have only mapped the neural connections of a piece of a mouse retina, which is very thin.

"What we know in the retina is a catalog of the types of neurons," he says. "The next challenge is to figure out what are the rules of connection between these types of neurons. And that's where we still don't know a whole lot."

Mapping more of these connections, he says, will tell us a lot about brain function and possible pathways that can be treated.

"I don't want to promise too much, and my goal right now is simply to see what is wrong," he says. "That's not in itself a cure. But obviously it's a step toward finding better treatments. The analogy I make is the study of infectious diseases before the microscope. You could see the symptoms, but you couldn't see the microbes — the bacteria that caused disease. We're in an analogous stage with mental disorders. We see the symptoms, but we don't have a clear thing we can look at in the brain and say, 'This is what's wrong.' "

Sebastian Seung is a professor of computational neuroscience at MIT and an investigator at the Howard Hughes Medical Institute.
Kris Krug/Poptech/Courtesy of the author
Sebastian Seung is a professor of computational neuroscience at MIT 
and an investigator at the Howard Hughes Medical Institute.

Interview Highlights

On connectomes

"A connectome is a map between neurons inside a nervous system. You can imagine it as being like the map that you see in the back of the pages of in-flight magazines. Imagine that every city in that map is replaced by a neuron and every airline route between cities is replaced by a connection."

On the Jennifer Aniston neuron
"Sometimes people with seizures don't respond well to medications, and the only way for them to respond is for surgeons to remove the part of the brain from which the seizures originate. So [a computational neuroscientist] got permission to also record the signals of single neurons inside human subjects before doing the operating. So what the experimenters did was they showed the people pictures of celebrities and places and other kinds of objects, and they found that the neurons in the areas that they recorded from, which is in the medial temporal lobe ... responded highly selectively. They would respond to only a few pictures out of a large collection of many pictures. And in particular, there was one neuron in one person that responded only to pictures of Jennifer Aniston — not to Halle Berry, not to Julia Roberts, and one great finding said that this neuron did not respond to pictures of Jennifer Aniston with Brad Pitt. ... It would be overstating the case to say this neuron only responds to Jennifer Aniston because the experimenters didn't have time to show the person all possible celebrities. But it seems safe to say that this neuron responds to only a small fraction of celebrities."

A diffusion spectrum image shows the brain wiring in a healthy human adult.
A diffusion spectrum image shows the brain wiring in a healthy human adult.

On neural networks

"Your brain is this vast network of neurons, communicating through signals. And as far as neuroscientists can tell, these signals that are passed around the network are reflecting the processing of all of our mental processes — your thoughts, your feelings, your perceptions and so on."



On regenerative neurons

"If you have brain damage, and lots of neurons are killed, those neurons won't grow back except in [the dentate gyrus of the hippocampus, which is thought to help new memories form, and the olfactory bulb, which is involved in sense of smell]. So you could view it from a very pessimistic viewpoint. On the other hand, it's entirely possible that medical advances in the future will somehow activate regenerative powers in the brain. If these regenerative powers exist in [those] two areas, why not awaken them in other areas of the brain? So there's also an optimistic kind of spin on this."
 This article comes from Scientific American (follow the link in the title to see the whole article).

The Age of Connectome: Q&A with Sebastian Seung




In 1949, a Canadian psychologist named Donald Hebb penned the following revolutionary words in his pioneering work, The Organization of Behavior:
“Let us assume that the persistence or repetition of a reverberatory activity (or ‘trace’) tends to induce lasting cellular changes that add to its stability… When an axon of cell A is near enough to excite a cell B and repeatedly or persistently takes part in firing it, some growth process or metabolic change takes place in one or both cells such that A’s efficiency, as one of the cells firing B, is increased.”
Or, to put it more bluntly: “Cells that fire together, wire together.”

Hebb’s ideas have influenced many a modern neuroscientist, notably in the area of brain mapping.  To date, most brain mapping efforts have been on more of a macroscale: identifying which parts of the brain are affiliated with specific functions, for example, or staining single neurons to track them in the mass of brain tissue, or looking at thicker “wiring” that connects different parts of the brain. Ideally, neuroscientists would like to trace the actual “wiring” of the brain: the dendrites and axons that form the synaptic connections between neurons.



All the cool kids call this the “connectome.” So does MIT’s Sebastian Seung, — in fact, he has a new book out (his first) called Connectome: How the Brain’s Wiring Makes Us Who We Are. Jen-Luc Piquant devoured it and pronounces it a terrific read. She now has Seung’s TED talk on a never-ending loop playing in her pixelated brain. Such a fangirl.

I heard Seung speak a few years ago at the Kavli Institute for Theoretical Physics in Santa Barbara, and was thoroughly riveted; I wasn’t the least surprised when he was tapped for TED. He came to neuroscience by way of condensed matter physics theory, working on artificial neural networks (ANNs).
 This article comes from CNN (follow the link in the title to see the whole article).

Mapping out a new era in brain research


The Human Connectome Project is giving neuroscientists a new perspective on the connections in the brain and how they communicate with each other.<br/><br/>Copyright Laboratory of Neuro Imaging, UCLA and Randy Buckner, PhD. Martinos Center for Biomedical Imaging, MGH. <a href='http://www.humanconnectomeproject.org/' target='_blank'>www.humanconnectomeproject.org</a><br/><br/> 
The Human Connectome Project is giving neuroscientists a new perspective on the connections in the brain and how they communicate with each other.

Copyright Laboratory of Neuro Imaging, UCLA and Randy Buckner, PhD. Martinos Center for Biomedical Imaging, MGH.

STORY HIGHLIGHTS
  • Emerging field of "Connectomics" aims to uncover the complex secrets of the brain
  • Human Connectome Project shedding new light on connectivity and function
  • New advances could pave the way for treatments of brain disorders like autism
(CNN) -- The complex architecture of the human brain and how its billions of nerve cells communicate has baffled the greatest minds for centuries.

But now, new technology is allowing neuroscientists to map the brain's connections in ever-greater detail.

The creation of a map, or "connectome" as it has been dubbed, is raising hopes that brain disorders like autism and schizophrenia will be better understood in the future, perhaps cured.

The Human Connectome Project (HCP), a U.S. government-funded scheme, recently began trials on healthy volunteers with a state-of-the-art diffusion-imaging scanner.

Built by German engineering company Siemens, it works by tracking the passage of water molecules through nerve fibers, giving a more accurate picture of the brain's structure and its neuronal pathways, scientists say.

"The diffusion image is a map of the water diffusion which we then convert into a marker for the fiber pathways," says Van Wedeen, director of Connectomics at the Martinos Center for Biomedical Imaging at Massachusetts General Hospital (MGH).

"We then reconstruct it through computer algorithms that explain the water diffusion that we have observed."
Finally, The Dana Foundation recently posted their review of a debate between Seung and J. Anthony Movshon, director of the Center for Neural Science at NYU and a Dana Alliance member. Movshoin thinks resources would be better spent elsewhere. The debate was moderated by Carl Zimmer (Discover, The New York Times) and Robert Krulwich (NPR). Follow the title link to see the whole (tto short) review of the debate. This debate was also reviewed by The Beautiful Brain.

The Value of the Connectome: Seung and Movshon Debate

Connectome debate imageFrom left to right: Movshon, Zimmer, Krulwich, and Seung.

Last night’s debate at Columbia University between neuroscientists Sebastian Seung and J. Anthony Movshon was billed as a heavyweight fight. In his welcoming address, in front of a packed house, Stuart Firestein referred to the participants as gladiators and the moderators as referees. And while he ended by saying “Let’s get ready to rumble!” the debate was rather temperate. The event, moderated by Carl Zimmer (Discover, The New York Times) and Robert Krulwich (NPR), was presented by NeuWrite and sponsored by the Dana Foundation.
From The Beautiful Brain:

As eager attendees packed Columbia University’s Havemayer Hall on Monday evening and another three hundred watched a simulcast from a nearby room, two things were immediately clear: there is a hunger for a true debate about the brain, one that moves the conversations usually held behind closed doors at scientific conferences and over late-night beers to the public sphere, and Sebastian Seung is wearing gold sneakers.

Some were desperate to get in.

It was clear from the opening statements at Monday’s debate that Movshon and Seung represent two different schools of thought, but their conversation ended up being less a “brain brawl” and more a respectful airing of differences. Seung believes neuroscience is stuck in a traditional mode of research, where the necessity to publish the next paper and get the next grant corrals scientists into overly-specific, limited fields of view of the whole system they’re studying. As a result, Seung argued, “neuroscientists can be very short-sighted.” Seung’s own plan of attack is one he’s elaborated in his popular TED talk and documented thoroughly (and very accessibly) in his new book, Connectome: How the Brain’s Wiring Makes Us Who We Are. On Monday, he reiterated this philosophy: the best way to understand perception, memory, and the basis of psychiatric disorders like schizophrenia and autism, Seung believes, is to study the brain at the level of the synapse—to trace all the connections between all the neurons in a brain. By generating a map of the whole system, we may be able to finally see engrams for memories and perceptions, as well as what might be going wrong with these networks in the aforementioned disorders, perhaps due to various problems in the ways neurons are wired up, which Seung calls “connectopathies.”

Sunday, March 11, 2012

More on the Neuroscience of Meditation


Frontiers in Human Neuroscience recently published two new studies looking at the brain changes associated with meditation. These are open access publications, so the PDFs can be downloaded from the site. Both of these studies demonstrate that the brains of meditators are more integrated than those who do not meditate.

Observed benefits:
  • variations in insular complexity could affect the regulation of well-known distractions in the process of meditation, such as daydreaming, mind-wandering, and projections into past or future
  • increased insular gyrification may reflect an integration of autonomic, affective, and cognitive processes
  • Participants with more meditation experience exhibited increased connectivity within attentional networks, as well as between attentional regions and medial frontal regions
  • These neural relationships may be involved in the development of cognitive skills, such as maintaining attention and disengaging from distraction, that are often reported with meditation practice
Enjoy.

The unique brain anatomy of meditation practitioners: alterations in cortical gyrification

  • 1 Laboratory of Neuro Imaging, Department of Neurology, UCLA School of Medicine, Los Angeles, CA, USA
  • 2 Department of Medicine, Center for Neurobiology of Stress, UCLA School of Medicine, Los Angeles, CA, USA
  • 3 Department of Psychiatry, University of Jena, Jena, Germany
  • 4 Department of Neurology, University of Jena, Jena, Germany
Several cortical regions are reported to vary in meditation practitioners. However, prior analyses have focused primarily on examining gray matter or cortical thickness. Thus, additional effects with respect to other cortical features might have remained undetected. Gyrification (the pattern and degree of cortical folding) is an important cerebral characteristic related to the geometry of the brain’s surface. Thus, exploring cortical gyrification in long-term meditators may provide additional clues with respect to the underlying anatomical correlates of meditation. This study examined cortical gyrification in a large sample (n = 100) of meditators and controls, carefully matched for sex and age. Cortical gyrification was established by calculating mean curvature across thousands of vertices on individual cortical surface models. Pronounced group differences indicating larger gyrification in meditators were evident within the left precentral gyrus, right fusiform gyrus, right cuneus, as well as left and right anterior dorsal insula (the latter representing the global significance maximum). Positive correlations between gyrification and the number of meditation years were similarly pronounced in the right anterior dorsal insula. Although the exact functional implications of larger cortical gyrification remain to be established, these findings suggest the insula to be a key structure involved in aspects of meditation. For example, variations in insular complexity could affect the regulation of well-known distractions in the process of meditation, such as daydreaming, mind-wandering, and projections into past or future. Moreover, given that meditators are masters in introspection, awareness, and emotional control, increased insular gyrification may reflect an integration of autonomic, affective, and cognitive processes. Due to the cross-sectional nature of this study, further research is necessary to determine the relative contribution of nature and nurture to links between cortical gyrification and meditation.


Citation: Luders E, Kurth F, Mayer EA, Toga AW, Narr KL, and Gaser C. (2012, Feb 29). The unique brain anatomy of meditation practitioners: alterations in cortical gyrification. Frontiers in Human Neuroscience, 6:34. doi: 10.3389/fnhum.2012.00034

* * * * * * *

Effects of meditation experience on functional connectivity of distributed brain networks

  • Department of Psychology, Emory University, Atlanta, GA, USA
This study sought to examine the effect of meditation experience on brain networks underlying cognitive actions employed during contemplative practice. In a previous study, we proposed a basic model of naturalistic cognitive fluctuations that occur during the practice of focused attention meditation. This model specifies four intervals in a cognitive cycle: mind wandering (MW), awareness of MW, shifting of attention, and sustained attention. Using subjective input from experienced practitioners during meditation, we identified activity in salience network regions during awareness of MW and executive network regions during shifting and sustained attention. Brain regions associated with the default mode were active during MW. In the present study, we reasoned that repeated activation of attentional brain networks over years of practice may induce lasting functional connectivity changes within relevant circuits. To investigate this possibility, we created seeds representing the networks that were active during the four phases of the earlier study, and examined functional connectivity during the resting state in the same participants. Connectivity maps were then contrasted between participants with high vs. low meditation experience. Participants with more meditation experience exhibited increased connectivity within attentional networks, as well as between attentional regions and medial frontal regions. These neural relationships may be involved in the development of cognitive skills, such as maintaining attention and disengaging from distraction, that are often reported with meditation practice. Furthermore, because altered connectivity of brain regions in experienced meditators was observed in a non-meditative (resting) state, this may represent a transference of cognitive abilities “off the cushion” into daily life.
Citation: Hasenkamp W, and Barsalou LW. (2012, Mar 1). Effects of meditation experience on functional connectivity of distributed brain networks. Frontiers in Human Neuroscience, 6:38. doi: 10.3389/fnhum.2012.00038