Brains have now been imaged at a map-like or “meso” scale, using the most powerful X-ray beams in the country, a team of researchers led by Eva Dyer, a computational neuroscientist and electrical engineer, reports.
The imaging scale gives an overview of the intercellular landscape of the brain at a level relevant to small neural networks, which are at the core of the brain’s ability to compute.
If brain imaging could be compared to Google Earth, neuroscientists would already have a pretty good “satellite view” of the brain, and a great “street view” of neuron details. But navigating how the brain computes is arguably where the action is, and neuroscience’s “navigational map view” has been a bit meager until now.
A powerful X-ray tomography scanner allowed the researchers to image particularly thick sections of the brains of mice, which afforded them views into intact neural areas much larger than are customary in microscope imaging. The scanner operated on the same basic principle as a hospital CT scanner, but this scan used high-energy X-ray photons generated in a synchrotron, a facility the size of dozens of football fields.
“Argonne National Laboratory (ANL) generates the highest-energy X-ray beams in the country at its synchrotron. They’ve studied all kinds of materials with really powerful X-rays. Then they got interested in studying the brain,"
said Dyer, who co-led the study with ANL’s Bobby Kasthuri at the Advanced Photon Source synchrotron.Argonne National Laboratory’s (ANL) Advanced Photon Source synchrotron.
Credit: Argonne National Laboratory / R. Fenner
The technique also revealed capillary grids interlacing brain tissues. They dominated the images, with cell bodies of brain cells evenly speckling capillaries like pebbles in a steel wool sponge.
“Our brain cells are embedded in this sea of vasculature,"
said Dyer, an assistant professor in the Wallace H. Coulter Department of Biomedical Engineering at Georgia Tech and Emory.
Electron microscopy already captures neuronal details in impressive clarity. Functional magnetic resonance imaging (fMRI) makes great visuals of brain structures and broad neural signalling.
So, why do researchers even need mesoscale imaging?
“FMRIs image at a high level, and with many microscopes, you’re zoomed in too far to recognize the forest for the trees,” Dyer said. “Though you can see a lot with them, you also can miss a lot.
If you look at brain signalling on the level of individual neurons, it looks very mysterious, but if you take a step back and observe the activity of a population of hundreds of neurons instead, you might see simpler, clearer patterns that intuitively make more sense."
In an earlier study, Dyer discovered that hand motion directions corresponded with reliable neural signaling patterns in the brain’s motor neocortex. The signals did not occur across single neurons or a few dozen but instead across groups of hundreds of neurons.
Mesoscale imaging reveals a spatial view on that same order of hundreds of neurons.
The researchers have also been able to couple their new meso-level imaging technique with extremely detailed electron microscopy. And that has the potential to take them closer to a kind of Google Earth for the brain by combining mesoscale or map-like views with zoomed-in or street-like views.
“We have begun doing X-ray tomography on large brain tissues, then we’ve gone deeper into specific tiny regions of interest in the same tissue with an electron microscope to see the full connectome there,"
Dyer said. The connectome refers to the total scheme of the hundreds of individual connections between neurons.
The researchers hope to someday be able to switch from a mesoscale view to close-up view, a bit like Google Earth.
“I think what we’re going to need in neuroscience is this ability to traverse across different scales,"
Dyer said. She envisions a future multi-scale imaging technology that is useful in understanding neurological diseases.
“We want to be able to tell somebody researching a disease what the underlying anatomy of their lab sample is in an automated way,” she added. “You could navigate using this mesoscale view to get the context of where the damage is."
Then the user could zoom in on a blocked artery or destroyed tissue analogous to the way satellite imagery can zoom in on traffic jams to see what’s causing them.
X-ray To Graphic Image
Like a navigational map, the final images in the study were colourful, clear, mesoscale graphic depictions. They were based on the X-ray tomography, but a lot was involved in getting from the X-ray to the image.
First, the thick section of brain rotated in the high-energy X-ray beam, which was transformed into an image analogous to the output of a CT scanner. Then structures and characteristics were identified by humans and algorithms before they were computed into three-dimensional, colour-coded vasculature and cell bodies.
Credit: Georgia Tech / Rob Felt
The new mesoscale imaging of brain samples also has pragmatic advantages.
It may be possible to examine minuscule brain regions piece by piece with electron microscopes then compute them together into a complete image of the brain, but it’s hardly practical.
“Producing a three-dimensional map of just a cubic millimeter of the brain with an electron microscope requires processing petabytes of data,"
By contrast, the researchers need 100 gigabytes of data to compute a one-cubic-millimeter image of brain tissue using mesoscale X-ray microtomography scans of thicker brain sections. But the researchers’ goal is to not have to slice the tissue at all.
They want to eventually be able to image entire brains with this method, in order to visualize the entirety of their neural networks and other structures.
The research team also included researchers from Johns Hopkins University, the University of Chicago, Northwestern University, the Argonne National Laboratory, and the University of Pennsylvania. The research was funded by the U.S. Department of Energy, the National Institutes of Health, the Intelligence Advanced Research Projects Activity, and the Defense Advanced Research Projects Agency.
Eva L. Dyer, William Gray Roncal, Judy A. Prasad, Hugo L. Fernandes, Doga Gürsoy, Vincent De Andrade, Kamel Fezzaa, Xianghui Xiao, Joshua T. Vogelstein, Chris Jacobsen, Konrad P. Körding and Narayanan Kasthuri
Quantifying Mesoscale Neuroanatomy Using X-Ray Microtomography
eNeuro 25 September 2017, 4 (5) ENEURO.0195-17.2017; DOI: https://doi.org/10.1523/ENEURO.0195-17.2017
Top Image: “navigational map view” of a section of a mouse brain. Credit: Georgia Tech / Eva Dyer
Last Updated on November 1, 2022