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Scientists join forces to study aging brains

Image: Brain tissue
This brain tissue has undergone antibody labeling for the Aging, Dementia and TBI Study. Dark brown spots are amyloid plaques, implicated in Alzheimer’s Disease. (Credit: Allen Institute)

Scientists from Seattle’s Allen Institute for Brain Science, the University of Washington and Group Health Research Institute have put together a first-of-its-kind database of brain imagery and medical data, to help unravel the potential links between brain injuries, aging and dementia.

The database for the Aging, Dementia and Traumatic Brain Injury Study is hosted at the Allen Institute’s Brain-Map.org website. For years, the institute has been mapping the connections between brain function and gene expression, but this database goes way beyond genetics.

The study’s brain samples come from a bigger study called Adult Changes in Thought. That longitudinal research effort, led by Eric Larson and Paul Crane of the Group Health Research Institute and UW, looks at health records and cognitive assessments from thousands of aging adults.

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Semantic Scholar dives into scientific search

Image: Oren Etzioni
Oren Etzioni, CEO of the Allen Institute for Artificial Intelligence, scribbles on a whiteboard to illustrate who’s connected to whom in research. (Geekwire photo by Alan Boyle)

Baseball players are judged by their batting averages, RBIs, ERAs and other statistics voluminous enough to fill a scorecard. But how do you rate researchers?

The classic measure is citations: that is, who’s quoting whom in their research papers. But just as in baseball, the statistics are becoming more nuanced. NowSemantic Scholar, a scientific search engine developed at Seattle’s Allen Institute for Artificial Intelligence, is introducing a whole new set of stats.

If you’re in the “publish-or-perish” game, get ready to find out how you score in acceleration and velocity. Get ready to find out who influences your work, and whom you influence, all with the click of a mouse.

“We give you the tools to slice and dice to figure out what you want,” said Oren Etzioni, CEO of the Allen Institute for AI, a.k.a. AI2.

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Scientists straighten out a tangle of brain cells

Image: Brain neurons
This graphic traces a network of cortical neurons from a trillions of bytes’ worth of 3-D data. Some of the neurons are color-coded according to their activity patterns in the living brain. (Credit: Clay Reid, Allen Institute; Wei-Chung Lee, Harvard Medical School; Sam Ingersoll, graphic artist)

Scientists say they’ve analyzed trillions of bytes’ worth of mapping data from the brain of a mouse to trace the connections within a tangle of neurons that’s smaller than a pinhead.

The results, published today in the journal Nature, mark a preliminary step toward an even more ambitious neuron-mapping project called MICrONS.

“This is the culmination of a research program that began almost 10 years ago,” study co-author R. Clay Reid, senior investigator at the Allen Institute for Brain Science, said in a news release. “Brain networks are too large and complex to understand piecemeal, so we used high-throughput techniques to collect huge data sets of brain activity and brain wiring.”

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Big project aims to build a bit of a virtual brain

Image: Neuron network
This image shows a network of neurons reconstructed with large-scale electron microscopy. (Credit: Clay Reid, Allen Institute / Wei-Chung Lee, Harvard Medical School / Sam Ingersoll)

Seattle’s Allen Institute for Brain Science is in on a multimillion-dollar campaign to trace the connections between the neurons in a mouse’s brain and figure out what they do, well enough to create a 3-D wiring diagram.

The five-year project – backed by the federal government’s Intelligence Advanced Research Projects Activity, or IARPA – is aimed at reverse-engineering the way the brain processes information. The project is called Machine Intelligence From Cortical Networks, or MICRONS.

“The reason IARPA is funding this is not merely to get a better understanding of the brain, but to get inspiration from biology to do the next iteration of machine learning,” R. Clay Reid, the Allen Institute’s principal investigator for the project, told GeekWire.

IARPA is the U.S. intelligence community’s equivalent of the Pentagon’s DARPA think tank, and you can assume that the new types of artificial intelligence programs inspired by MICrONS could help give the United States an edge when it comes to analyzing data for national security purposes.

At the same time, neuroscientists will benefit from seeing how neurons work together in unprecedented detail. “It’s absolutely a win-win situation,” Reid said.

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Scientists list brain’s common gene patterns

Image: Brain gene expression
An image from the Allen Brain Explorer shows gene expression across the human brain. (Credit: Allen Institute for Brain Science)

Researchers say they’ve traced 32 of the most common genetic patterns at work in the human brain, as part of a mapping project that could lead to new insights about Alzheimer’s and other diseases.

“We’re really trying to understand the genetic basis for the architecture of the human brain,” said Ed Lein, a researcher at the Allen Institute for Brain Science and one of the authors of a study published online on Monday by Nature Neuroscience.

Lein told GeekWire that the study, based on data from the Allen Human Brain Atlas, demonstrates “we’re really much more similar than we are dissimilar” when it comes to the genetic code for our brain’s wiring. The genes that are most consistently associated with specific regions of the brain include some associated with Alzheimer’s, Parkinson’s and Huntington’s disease, as well as epilepsy and disorders associated with cocaine and nicotine use.

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