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The Amazing Brain: Toward a Wiring Diagram of Connectivity
Posted on by Dr. Francis Collins
It’s summertime and, thanks to the gift of COVID-19 vaccines, many folks are getting the chance to take a break. So, I think it’s also time that my blog readers finally get a break from what’s been nearly 18 months of non-stop coverage of COVID-19 research. And I can’t think of a more enjoyable way to do that than by taking a look at just a few of the many spectacular images and insights that researchers have derived about the amazing brain.
The Brain Research through Advancing Innovative Neurotechnologies® (BRAIN) Initiative, which is an NIH-led project aimed at revolutionizing our understanding of the human brain, happens to have generated some of the coolest—and most informative—imagery now available in neuroscience. So, throughout the month of August, I’ll share some of the entries from the initiative’s latest Show Us Your BRAINs! Photo and Video Contest.
With nearly 100 billion neurons and 100 trillion connections, the human brain remains one of the greatest mysteries in science. Among the many ways in which neuroscientists are using imaging to solve these mysteries is by developing more detailed maps of connectivity within the brain.
For example, the image featured above from the contest shows a dense weave of neurons in the anterior cingulate cortex, which is the part of the brain involved in learning, memory, and some motor control. In this fluorescence micrograph of tissue from a mouse, each neuron has been labeled with green fluorescent protein, enabling you to see how it connects to other neurons through arm-like projections called axons and dendrites.
The various connections, or circuits, within the brain process and relay distinct types of sensory information. In fact, a single neuron can form a thousand or more of these connections. Among the biggest challenges in biomedicine today is deciphering how these circuits work, and how they can misfire to cause potentially debilitating neurological conditions, including Alzheimer’s disease, Parkinson’s disease, autism, epilepsy, schizophrenia, depression, and traumatic brain injury.
This image was produced by Nicholas Foster and Lei Gao in the NIH-supported lab of Hong Wei Dong, University of California, Los Angeles. The Dong Lab is busy cataloging cell types and helping to assemble a wiring diagram of the connectivity in the mammalian brain—just one of the BRAIN Initiative’s many audacious goals. Stay tuned for more throughout the month of August!
Links:
Brain Research through Advancing Innovative Neurotechnologies® (BRAIN) Initiative (NIH)
Dong Lab (University of California, Los Angeles)
Show Us Your BRAINs! Photo and Video Contest (BRAIN Initiative/NIH)
NIH Support: National Institute of Mental Health
Defining Neurons in Technicolor
Posted on by Dr. Francis Collins
Can you identify a familiar pattern in this image’s square grid? Yes, it’s the outline of the periodic table! But instead of organizing chemical elements, this periodic table sorts 46 different types of neurons present in the visual cortex of a mouse brain.
Scientists, led by Hongkui Zeng at the Allen Institute for Brain Science, Seattle, constructed this periodic table by assigning colors to their neuronal discoveries based upon their main cell functions [1]. Cells in pinks, violets, reds, and oranges have inhibitory electrical activity, while those in greens and blues have excitatory electrical activity.
For any given cell, the darker colors indicate dendrites, which receive signals from other neurons. The lighter colors indicate axons, which transmit signals. Examples of electrical properties—the number and intensity of their “spikes”—appear along the edges of the table near the bottom.
To create this visually arresting image, Zeng’s NIH-supported team injected dye-containing probes into neurons. The probes are engineered to carry genes that make certain types of neurons glow bright colors under the microscope.
This allowed the researchers to examine a tiny slice of brain tissue and view each colored neuron’s shape, as well as measure its electrical response. They followed up with computational tools to combine these two characteristics and classify cell types based on their shape and electrical activity. Zeng’s team could then sort the cells into clusters using a computer algorithm to avoid potential human bias from visually interpreting the data.
Why compile such a detailed atlas of neuronal subtypes? Although scientists have been surveying cells since the invention of the microscope centuries ago, there is still no consensus on what a “cell type” is. Large, rich datasets like this atlas contain massive amounts of information to characterize individual cells well beyond their appearance under a microscope, helping to explain factors that make cells similar or dissimilar. Those differences may not be apparent to the naked eye.
Just last year, Allen Institute researchers conducted similar work by categorizing nearly 24,000 cells from the brain’s visual and motor cortex into different types based upon their gene activity [2]. The latest research lines up well with the cell subclasses and types categorized in the previous gene-activity work. As a result, the scientists have more evidence that each of the 46 cell types is actually distinct from the others and likely drives a particular function within the visual cortex.
Publicly available resources, like this database of cell types, fuel much more discovery. Scientists all over the world can look at this table (and soon, more atlases from other parts of the brain) to see where a cell type fits into a region of interest and how it might behave in a range of brain conditions.
References:
[1] Classification of electrophysiological and morphological neuron types in the mouse visual cortex. N Gouwens NW, et al. Neurosci. 2019 Jul;22(7):1182-1195.
[2] Shared and distinct transcriptomic cell types across neocortical areas. Tasic B, et al. Nature. 2018 Nov;563(7729):72-78.
Links:
Brain Basics: The Life and Death of a Neuron (National Institute of Neurological Disorders and Stroke/NIH)
Cell Types: Overview of the Data (Allen Brain Atlas/Allen Institute for Brain Science, Seattle)
Hongkui Zeng (Allen Institute)
NIH Support: National Institute of Mental Health; Eunice Kennedy Shriver National Institute of Child Health & Human Development
Mammalian Brain Like You’ve Never Seen It Before
Posted on by Dr. Francis Collins
Credit: Gao et. al, Science
Researchers are making amazing progress in developing new imaging approaches. And they are now using one of their latest creations, called ExLLSM, to provide us with jaw-dropping views of a wide range of biological systems, including the incredibly complex neural networks within the mammalian brain.
In this video, ExLLSM takes us on a super-resolution, 3D voyage through a tiny sample (0.0030 inches thick) from the part of the mouse brain that processes sensation, the primary somatosensory cortex. The video zooms in and out of densely packed pyramidal neurons (large yellow cell bodies), each of which has about 7,000 synapses, or connections. You can also see presynapses (cyan), the part of the neuron that sends chemical signals; and postsynapes (magenta), the part of the neuron that receives chemical signals.
At 1:45, the video zooms in on dendritic spines, which are mushroom-like nubs on the neuronal branches (yellow). These structures, located on the tips of dendrites, receive incoming signals that are turned into electrical impulses. While dendritic spines have been imaged in black and white with electron microscopy, they’ve never been presented before on such a vast, colorful scale.
The video comes from a paper, published recently in the journal Science [1], from the labs of Ed Boyden, Massachusetts Institute of Technology, Cambridge, and the Nobel Prize-winning Eric Betzig, Janelia Research Campus of the Howard Hughes Medical Institute, Ashburn, VA. Like many collaborations, this one comes with a little story.
Four years ago, the Boyden lab developed expansion microscopy (ExM). The technique involves infusing cells with a hydrogel, made from a chemical used in disposable diapers. The hydrogel expands molecules within the cell away from each other, usually by about 4.5 times, but still locks them into place for remarkable imaging clarity. It makes structures visible by light microscopy that are normally below the resolution limit.
Though the expansion technique has worked well with a small number of cells under a standard light microscope, it hasn’t been as successful—until now—at imaging thicker tissue samples. That’s because thicker tissue is harder to illuminate, and flooding the specimen with light often bleaches out the fluorescent markers that scientists use to label proteins. The signal just fades away.
For Boyden, that was a problem that needed to be solved. Because his lab’s goal is to trace the inner workings of the brain in unprecedented detail, Boyden wants to image entire neural circuits in relatively thick swaths of tissue, not just look at individual cells in isolation.
After some discussion, Boyden’s team concluded that the best solution might be to swap out the light source for the standard microscope with a relatively new imaging tool developed in the Betzig lab. It’s called lattice light-sheet microscopy (LLSM), and the tool generates extremely thin sheets of light that illuminate tissue only in a very tightly defined plane, dramatically reducing light-related bleaching of fluorescent markers in the tissue sample. This allows LLSM to extend its range of image acquisition and quickly deliver stunningly vivid pictures.
Telephone calls were made, and the Betzig lab soon welcomed Ruixuan Gao, Shoh Asano, and colleagues from the Boyden lab to try their hand at combining the two techniques. As the video above shows, ExLLSM has proved to be a perfect technological match. In addition to the movie above, the team has used ExLLSM to provide unprecedented views of a range of samples—from human kidney to neuron bundles in the brain of the fruit fly.
Not only is ExLLSM super-resolution, it’s also super-fast. In fact, the team imaged the entire fruit fly brain in 2 1/2 days—an effort that would take years using an electron microscope.
ExLLSM will likely never supplant the power of electron microscopy or standard fluorescent light microscopy. Still, this new combo imaging approach shows much promise as a complementary tool for biological exploration. The more innovative imaging approaches that researchers have in their toolbox, the better for our ongoing efforts to unlock the mysteries of the brain and other complex biological systems. And yes, those systems are all complex. This is life we’re talking about!
Reference:
[1] Cortical column and whole-brain imaging with molecular contrast and nanoscale resolution. Gao R, Asano SM, Upadhyayula S, Pisarev I, Milkie DE, Liu TL, Singh V, Graves A, Huynh GH, Zhao Y, Bogovic J, Colonell J, Ott CM, Zugates C, Tappan S, Rodriguez A, Mosaliganti KR, Sheu SH, Pasolli HA, Pang S, Xu CS, Megason SG, Hess H, Lippincott-Schwartz J, Hantman A, Rubin GM, Kirchhausen T, Saalfeld S, Aso Y, Boyden ES, Betzig E. Science. 2019 Jan 18;363(6424).
Links:
Video: Expansion Microscopy Explained (YouTube)
Video: Lattice Light-Sheet Microscopy (YouTube)
How to Rapidly Image Entire Brains at Nanoscale Resolution, Howard Hughes Medical Institute, January 17, 2019.
Synthetic Neurobiology Group (Massachusetts Institute of Technology, Cambridge)
Eric Betzig (Janelia Reseach Campus, Ashburn, VA)
NIH Support: National Institute of Neurological Disorders and Stroke; National Human Genome Research Institute; National Institute on Drug Abuse; National Institute of Mental Health; National Institute of Biomedical Imaging and Bioengineering
Snapshots of Life: Hardwired to Sense Food Texture
Posted on by Dr. Francis Collins
Credit: Zhang, Y.V., Aikin, T.J., Li, Z., and Montell, C., University of California, Santa Barbara
It’s a problem that parents know all too well: a child won’t eat because their oatmeal is too slimy or a slice of apple is too hard. Is the kid just being finicky? Or is there a biological basis for disliking food based on its texture? This image, showing the tongue (red) of a fruit fly (Drosophila melanogaster), provides some of the first evidence that biology could indeed play a role [1].
The image shows a newly discovered mechanosensory nerve cell (green), which is called md-L, short for multidendritic neuron in the labellum. When the fly extends its tongue to eat, the hair bristles (short red lines) on its surface bend in proportion to the consistency of the food. If a bristle is bent hard enough, the force is detected at its base by one of the arms of an md-L neuron. In response, the arm shoots off an electrical signal that’s relayed to the central part of the neuron and onward to the brain via the outgoing informational arm, or axon.
Cool Videos: Reconstructing the Cerebral Cortex
Posted on by Dr. Francis Collins
This colorful cylinder could pass for some sort of modern art sculpture, but it actually represents a sneak peak at some of the remarkable science that we can look forward to seeing from the Brain Research through Advancing Innovative Neurotechnologies (BRAIN) Initiative. In a recent study in the journal Cell [1], NIH grantee Jeff Lichtman of Harvard University, Cambridge, MA and his colleagues unveiled the first digitized reconstruction of tissue from the mammalian cerebral cortex—the outermost part of the brain, responsible for complex behaviors.
Specifically, Lichtman’s group mapped in exquisite detail a very small cube of a mouse’s cerebral cortex. In fact, the cube is so tiny (smaller than a grain of sand!) that it contained no whole cells, just a profoundly complex tangle of finger-like nerve cell extensions called axons and dendrites. And what you see in this video is just one cylindrical portion of that tissue sample, in which Licthtman and colleagues went full force to identify and label every single cellular and intracellular element. The message-sending axons are delineated in an array of pastel colors, while more vivid hues of red, green, and purple mark the message-receiving dendrites and bright yellow indicates the nerve-insulating glia. In total, the cylinder contains parts of about 600 axons, 40 different dendrites, and 500 synapses, where nerve impulses are transmitted between cells.
