FROM: NATIONAL SCIENCE FOUNDATION
Exploring the unknown frontier of the brain
James L. Olds, head of NSF's Directorate for Biological Sciences and the Shelley Krasnow University Professor of Molecular Neuroscience at George Mason University describes why and how NSF-funded researchers are working to understand the healthy brain
April 2, 2015
To a large degree, your brain is what makes you... you. It controls your thinking, problem solving and voluntary behaviors. At the same time, your brain helps regulate critical aspects of your physiology, such as your heart rate and breathing.
And yet your brain--a nonstop multitasking marvel--runs on only about 20 watts of energy, the same wattage as an energy-saving light bulb.
Still, for the most part, the brain remains an unknown frontier. Neuroscientists don't yet fully understand how information is processed by the brain of a worm that has several hundred neurons, let alone by the brain of a human that has 80 billion to 100 billion neurons. The chain of events in the brain that generates a thought, behavior or physiological response remains mysterious.
Why the big mystery? The brain is the most complex known biological structure in the universe. When researchers do figure out how it works, they will accomplish perhaps the greatest scientific achievement in recorded human history.
The search for a theory
Neuroscientists all over the world are working to develop an overarching theory of how a healthy brain works. Similar to the way the Big Bang theory offers one possible explanation for the cosmos and helps guide research on the origins of the universe, a theory of healthy brain function would offer a possible explanation of how the brain and the entire nervous system work and would help guide neuroscience research.
A theory of healthy brain function may also help to explain how injuries and diseases disrupt brain function and thereby help researchers identify new directions for research on traumatic brain injuries and brain diseases.
More knowledge about healthy brain function may also help inspire the development of smart technologies that mimic some of the human brain's unparalleled capabilities. If supercomputers--which can each annually consume millions of dollars' worth of electricity as well as huge amounts of cooling water--could match the brain's energy efficiency and processing power, their massive energy consumption would plummet, and science and innovation would leap forward.
Neuroscientists have made some progress toward understanding the brain. They have identified brain regions that regulate particular functions, including speech and motor function, and they can recognize structural and functional changes that occur in the brain throughout an animal's life span.
More recently, neuroscientists have developed game-changing tools for visualizing and analyzing parts of the brain in unprecedented detail. These tools provide the first detailed glimpses of the brain and are thrusting neuroscience forward, much as the first powerful telescopes provided the deep glimpses into the universe and thrust astronomy forward many years ago.
BRAIN Power
Building on these and other recent innovations, President Barack Obama launched the Brain Research through Advancing Innovative Neurotechnologies Initiative (BRAIN Initiative) in April 2013. Federally funded in 2015 at $200 million, the initiative is a public-private research effort to revolutionize researchers' understanding of the brain.
A co-leader of the initiative, the National Science Foundation (NSF) is working to reveal how a healthy brain works. Magnetic resonance imaging (MRI) technology, bionic limbs and laser eye surgery were all grounded in early NSF-funded fundamental research, and fundamental research on the healthy brain may lead to equally profound advances.
NSF will spend about $48.48 million on awards in 2015 supporting the BRAIN Initiative, part of approximately $106.44 million in awards we will provide for all "Understanding the Brain" research across a range of neuroscience and cognitive science topics. With that support, our research teams are tackling the mysteries of the brain from varied angles.
For example, NSF is funding collaborations among:
Computer scientists, cyberinfrastructure experts and biologists to create a cyberinfrastructure to store and manage the huge volumes of data--"Big Data”--generated by brain studies. (For some perspective, consider that if nanoscale images of one human brain were stored in a stack of 1 terabyte hard drives, the stack would reach to the moon, or beyond!)
Engineers, materials experts and physicists to develop new materials needed to invent new probes for monitoring and manipulating the brain.
Physicists, mathematicians and computer scientists to build models that can help reveal and predict the complex neural activities that drive thoughts and behavior.
Social and behavioral scientists and physicists to improve the resolution of functional magnetic resonance imaging of the brain to help explain how social and physical environments alter the brain.
Biologists, physicists, chemists and engineers to study the nervous systems of many species, from simple organisms to complex vertebrates.
In addition, NSF awarded $10.8 million in Early Concept Grants for Exploratory Research (EAGERs) to 36 teams--most of which are collaborative and multidisciplinary in nature--to support the development of new technologies that will help answer a critical question: How do circuits of neurons generate behaviors and enable learning and perception?
An EAGER team from the University of North Carolina School of Medicine is improving a new kind of microscope to simultaneously view individual neurons firing in two or more different regions of a brain at the same time. This microscope will enable researchers to see in detail, for the first time, how different areas of the brain team up to process information.
Taking an entirely different tack, researchers at the new $25 million NSF-funded Center for Brains, Minds & Machines at MIT are investigating human intelligence and the potential for creating intelligent machines. As researchers learn how to build those machines, they will likely also advance humanity's understanding of human intelligence.
Big innovations from basic research
If history is any guide, these and other fundamental brain-research projects will have important applications. For example, researchers around the world are currently studying diseases such as post-traumatic stress disorder, Parkinson's disease and schizophrenia with a powerful new tool called optogenetics.
Optogenetics, which was developed with partial funding from NSF, enables researchers to selectively turn on and off individual neurons in living animals by exposing them to light. The development of optogenetics was made possible, in part, by earlier NSF-funded research on light sensitivity in algae that was conducted purely out of curiosity about the survival strategies of algae and without any knowledge that it would eventually be pivotal to the seemingly far-flung field of brain research. (Optogenetics is explained in a short video, Biodiversity: A Boon for brain research.)
Viewers of the 2014 World Cup saw another important application of fundamental brain research: The first kick of the games was performed by a person with paraplegia wearing an exoskeleton. The development of this exoskeleton built upon NSF-funded research on how neurons are involved in motor learning--research that began nearly twenty years ago.
Across government and across the nation, hopes are high that additional, fundamental neuroscience research will lay the groundwork for continued advances that will help society take additional strides forward.
-- James L. Olds, National Science Foundation
-- Lily Whiteman,
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Showing posts with label NEURONS. Show all posts
Showing posts with label NEURONS. Show all posts
Saturday, April 4, 2015
Tuesday, June 10, 2014
GLIAL CELLS AND THE BRAIN
FROM: NATIONAL SCIENCE FOUNDATION
The beautiful brain cells you don't know about
Hint: They're not neurons
The number of nerve cells in the human brain sounds impressive: 100 billion. And it is.
But neurons may make up as little as 15 percent of cells in the brain. The other cells are called glial cells, or glia.
Glia are the rising stars of the neuroscience universe. Once delegated to simply a supporting role for neurons, these cells are now thought to play an important part in early brain development, learning and memory.
A 2013 workshop funded by the National Science Foundation (NSF) enabled researchers who study learning and memory to get together (many for the first time) and reconsider glia's function.
"It was paradigm-shifting," said R. Douglas Fields, a neurobiologist at the National Institutes of Health and meeting organizer. "Everyone left enthused about the enormous potential for understanding brain function, especially learning and memory by studying how all the cells in the brain work together, rather than focusing exclusively on neurons."
In fact, Fields and other brain researchers who specialize in glia have since called for a greater focus on non-neuronal cells as part of the BRAIN Initiative, a collaborative research project announced by the Obama administration in April 2013.
When you learn something, how to catch a ball or use an equation, information is transmitted along the spindly arms of neurons via electrical signals. At the same time, glia called oligodendrocytes work to insulate these particular arms with a fatty substance called myelin so the information flows more efficiently.
Some studies show that glial cells known as astrocytes may have an even more active role in learning. Astrocytes may release chemicals that strengthen newly formed connections between neurons, making it more likely you'll be able to remember a new face, or the name of your co-worker's beloved golden retriever.
Understanding how we learn requires that scientists and engineers take a holistic approach to brain research.
NSF-funded research centers such as the Center of Excellence for Learning in Education, Science and Technology and the Temporal Dynamics of Learning Center integrate experimentation, modeling and technical application to help us understand what's really going on inside the brain. And to use that knowledge to educate students and to build intelligent technologies.
-- Sarah Bates, NSF
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