Why Spend a Billion Dollars to Map the Human Brain?

Barack Obama announced an initiative yesterday that involves significant government investment in neuroscience. So begins the international race to understand the brain
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In January, the European Commission pledged 500 million euros to work towards creating a functional model of the human brain. Then, yesterday, Barack Obama officially announced an initiative to advance neuroscience, funding a large-scale research project aimed at unlocking the secrets of the brain that involves over $100 million in federal spending in the first year alone, as well as investments from private organizations. Both projects are geared towards creating a working model of the brain, mapping its 100 billion neurons.

The first, the Human Brain Project, is being spearheaded by Professor Henry Markram of École Polytechnique Fédérale de Lausanne. Together with collaborators from 86 other European institutions, they aim to simulate the workings of the human brain using a giant super computer. This would mean compiling information about the activity of individual neurons and neuronal circuits throughout the brain in a massive database. They then hope to integrate the biological actions of these neurons to create theoretical maps of different subsystems, and eventually, through the magic of computer simulation, a working model of the entire brain.

Neurologic and psychiatric disorders collectively "affect 100 million Americans and cost us $500 billion each year in terms of health-care costs."

Similarly, the United States' recently renamed Brain Research Through Advancing Innovative Neurotechnologies, or BRAIN (previously the Brain Activity Map Project, or BAM), is an initiative that will be organized through the National Institutes of Health, National Science Foundation, and Defense Advanced Research Projects Agency, and carried out in a number of universities and research institutes throughout the U.S.

BRAIN will attempt to create a functional model of the brain - a "connectome" - mapping its billions of neuronal connections and firing patterns. This would enable scientists to create both a "static" and "active" model of the brain, mapping the physical location and connections of these neurons, as well as how they work and fire together between and within different regions. At the moment, we have small snap-shots into some of these circuits, exposing the function of different brain areas and how these cells communicate, but on only a fraction of the scale of the entire brain. This process would first be done on much smaller models, such as a fruit fly and a mouse, before working up to the complexities of a human brain version.

BRAIN proposes to create this model by measuring the activity of every single neuron in a circuit. At the moment, this is done using deep brain techniques, a highly invasive process that involves opening up the skull to implant electrodes onto individual cells to read and record their outputs. Understandably, this is only done in patients already undergoing brain surgery, and is a slow and expensive process. Thus, the first task of BRAIN would be to develop better techniques to acquire this information. Research into this field is already underway, and exciting proposals have included nanoparticles and lasers that could measure electrical outputs from these cells less invasively, or even using DNA to map neural connections.

Some in the scientific community are also worried that already limited funding to other fields of research will be slashed in order to subsidize the project.

Neither project has directly acknowledged the other, but it is thought that the recent announcement of the U.S. proposal is a response to the initial European scheme launched earlier this year. And while there are distinct differences between the two initiatives in how they will acquire and store the raw information, as well as how they plan to build their subsequent models, the two projects overlap significantly. Both have the potential to better illuminate how exactly the brain works, and each ultimately hopes to provide us with a clearer picture of not only normal brain functioning, but also what happens when these processes are disrupted. Scientists and doctors could then use computer models to simulate dysfunction involved in neurological or psychiatric disorders, such as Alzheimer's or schizophrenia. This would also open up possibilities for investigating better treatment options, as well as drastically cutting down on the expense and risk currently involved in clinical drug trials for psychiatric and neurological disorders.

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Dana Smith is a freelance writer based in Durham, North Carolina. She has a PhD in psychology from the University of Cambridge.

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