The Amazing Brain: Capturing Neurons in Action
Posted on by Lawrence Tabak, D.D.S., Ph.D.
With today’s powerful imaging tools, neuroscientists can monitor the firing and function of many distinct neurons in our brains, even while we move freely about. They also possess another set of tools to capture remarkable, high-resolution images of the brain’s many thousands of individual neurons, tracing the form of each intricate branch of their tree-like structures.
Most brain imaging approaches don’t capture neural form and function at once. Yet that’s precisely what you’re seeing in this knockout of a movie, another winner in the Show Us Your BRAINs! Photo and Video Contest, supported by NIH’s Brain Research through Advancing Innovative Neurotechnologies® (BRAIN) Initiative.
This first-of-its kind look into the mammalian brain produced by Andreas Tolias, Baylor College of Medicine, Houston, and colleagues features about 200 neurons in the visual cortex, which receives and processes visual information. First, you see a colorful, tightly packed network of neurons. Then, those neurons, which were colorized by the researchers in vibrant pinks, reds, blues, and greens, pull apart to reveal their finely detailed patterns and shapes. Throughout the video, you can see neural activity, which appears as flashes of white that resemble lightning bolts.
Making this movie was a multi-step process. First, the Tolias group presented laboratory mice with a series of visual cues, using a functional imaging approach called two-photon calcium imaging to record the electrical activity of individual neurons. While this technique allowed the researchers to pinpoint the precise locations and activity of each individual neuron in the visual cortex, they couldn’t zoom in to see their precise structures.
So, the Baylor team sent the mice to colleagues Nuno da Costa and Clay Reid, Allen Institute for Brain Science, Seattle, who had the needed electron microscopes and technical expertise to zoom in on these structures. Their data allowed collaborator Sebastian Seung’s team, Princeton University, Princeton, NJ, to trace individual neurons in the visual cortex along their circuitous paths. Finally, they used sophisticated machine learning algorithms to carefully align the two imaging datasets and produce this amazing movie.
This research was supported by Intelligence Advanced Research Projects Activity (IARPA), part of the Office of the Director of National Intelligence. The IARPA is one of NIH’s governmental collaborators in the BRAIN Initiative.
Tolias and team already are making use of their imaging data to learn more about the precise ways in which individual neurons and groups of neurons in the mouse visual cortex integrate visual inputs to produce a coherent view of the animals’ surroundings. They’ve also collected an even-larger data set, scaling their approach up to tens of thousands of neurons. Those data are now freely available to other neuroscientists to help advance their work. As researchers make use of these and similar data, this union of neural form and function will surely yield new high-resolution discoveries about the mammalian brain.
Tolias Lab (Baylor College of Medicine, Houston)
Nuno da Costa (Allen Institute for Brain Science, Seattle)
R. Clay Reid (Allen Institute)
H. Sebastian Seung (Princeton University, Princeton, NJ)
Machine Intelligence from Cortical Networks (MICrONS) Explorer
Brain Research through Advancing Innovative Neurotechnologies® (BRAIN) Initiative (NIH)
Show Us Your BRAINs Photo & Video Contest (BRAIN Initiative)
NIH Support: BRAIN Initiative; Common Fund
Groundbreaking Study Maps Key Brain Circuit
Posted on by Dr. Francis Collins
Biologists have long wondered how neurons from different regions of the brain actually interconnect into integrated neural networks, or circuits. A classic example is a complex master circuit projecting across several regions of the vertebrate brain called the basal ganglia. It’s involved in many fundamental brain processes, such as controlling movement, thought, and emotion.
In a paper published recently in the journal Nature, an NIH-supported team working in mice has created a wiring diagram, or connectivity map, of a key component of this master circuit that controls voluntary movement. This groundbreaking map will guide the way for future studies of the basal ganglia’s direct connections with the thalamus, which is a hub for information going to and from the spinal cord, as well as its links to the motor cortex in the front of the brain, which controls voluntary movements.
This 3D animation drawn from the paper’s findings captures the biological beauty of these intricate connections. It starts out zooming around four of the six horizontal layers of the motor cortex. At about 6 seconds in, the video focuses on nerve cell projections from the thalamus (blue) connecting to cortex nerve cells that provide input to the basal ganglia (green). It also shows connections to the cortex nerve cells that input to the thalamus (red).
At about 25 seconds, the video scans back to provide a quick close-up of the cell bodies (green and red bulges). It then zooms out to show the broader distribution of nerve cells within the cortex layers and the branched fringes of corticothalamic nerve cells (red) at the top edge of the cortex.
The video comes from scientific animator Jim Stanis, University of Southern California Mark and Mary Stevens Neuroimaging and Informatics Institute, Los Angeles. He collaborated with Nick Foster, lead author on the Nature paper and a research scientist in the NIH-supported lab of Hong-Wei Dong at the University of California, Los Angeles.
The two worked together to bring to life hundreds of microscopic images of this circuit, known by the unusually long, hyphenated name: the cortico-basal ganglia-thalamic loop. It consists of a series of subcircuits that feed into a larger signaling loop.
The subcircuits in the loop make it possible to connect thinking with movement, helping the brain learn useful sequences of motor activity. The looped subcircuits also allow the brain to perform very complex tasks such as achieving goals (completing a marathon) and adapting to changing circumstances (running uphill or downhill).
Although scientists had long assumed the cortico-basal ganglia-thalamic loop existed and formed a tight, closed loop, they had no real proof. This new research, funded through NIH’s Brain Research Through Advancing Innovative Neurotechnologies® (BRAIN) Initiative, provides that proof showing anatomically that the nerve cells physically connect, as highlighted in this video. The research also provides electrical proof through tests that show stimulating individual segments activate the others.
Detailed maps of neural circuits are in high demand. That’s what makes results like these so exciting to see. Researchers can now better navigate this key circuit not only in mice but other vertebrates, including humans. Indeed, the cortico-basal ganglia-thalamic loop may be involved in a number of neurological and neuropsychiatric conditions, including Huntington’s disease, Parkinson’s disease, schizophrenia, and addiction. In the meantime, Stanis, Foster, and colleagues have left us with a very cool video to watch.
 The mouse cortico-basal ganglia-thalamic network. Foster NN, Barry J, Korobkova L, Garcia L, Gao L, Becerra M, Sherafat Y, Peng B, Li X, Choi JH, Gou L, Zingg B, Azam S, Lo D, Khanjani N, Zhang B, Stanis J, Bowman I, Cotter K, Cao C, Yamashita S, Tugangui A, Li A, Jiang T, Jia X, Feng Z, Aquino S, Mun HS, Zhu M, Santarelli A, Benavidez NL, Song M, Dan G, Fayzullina M, Ustrell S, Boesen T, Johnson DL, Xu H, Bienkowski MS, Yang XW, Gong H, Levine MS, Wickersham I, Luo Q, Hahn JD, Lim BK, Zhang LI, Cepeda C, Hintiryan H, Dong HW. Nature. 2021;598(7879):188-194.
Brain Basics: Know Your Brain (National Institute of Neurological Disorders and Stroke/NIH)
Dong Lab (University of California, Los Angeles)
Mark and Mary Stevens Neuroimaging and Informatics Institute (University of Southern California, Los Angeles)
The Brain Research Through Advancing Innovative Neurotechnologies® (BRAIN) Initiative (NIH)
NIH Support: Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute on Deafness and Other Communication Disorders; National Institute of Mental Health
Tapping Into The Brain’s Primary Motor Cortex
Posted on by Dr. Francis Collins
If you’re like me, you might catch yourself during the day in front of a computer screen mindlessly tapping your fingers. (I always check first to be sure my mute button is on!) But all that tapping isn’t as mindless as you might think.
While a research participant performs a simple motor task, tapping her fingers together, this video shows blood flow within the folds of her brain’s primary motor cortex (gray and white), which controls voluntary movement. Areas of high brain activity (yellow and red) emerge in the omega-shaped “hand-knob” region, the part of the brain controlling hand movement (right of center) and then further back within the primary somatic cortex (which borders the motor cortex toward the back of the head).
About 38 seconds in, the right half of the video screen illustrates that the finger tapping activates both superficial and deep layers of the primary motor cortex. In contrast, the sensation of a hand being brushed (a sensory task) mostly activates superficial layers, where the primary sensory cortex is located. This fits with what we know about the superficial and deep layers of the hand-knob region, since they are responsible for receiving sensory input and generating motor output to control finger movements, respectively .
The video showcases a new technology called zoomed 7T perfusion functional MRI (fMRI). It was an entry in the recent Show Us Your BRAINs! Photo and Video Contest, supported by NIH’s Brain Research Through Advancing Innovative Neurotechnologies® (BRAIN) Initiative.
The technology is under development by an NIH-funded team led by Danny J.J. Wang, University of Southern California Mark and Mary Stevens Neuroimaging and Informatics Institute, Los Angeles. Zoomed 7T perfusion fMRI was developed by Xingfeng Shao and brought to life by the group’s medical animator Jim Stanis.
Measuring brain activity using fMRI to track perfusion is not new. The brain needs a lot of oxygen, carried to it by arteries running throughout the head, to carry out its many complex functions. Given the importance of oxygen to the brain, you can think of perfusion levels, measured by fMRI, as a stand-in measure for neural activity.
There are two things that are new about zoomed 7T perfusion fMRI. For one, it uses the first ultrahigh magnetic field imaging scanner approved by the Food and Drug Administration. The technology also has high sensitivity for detecting blood flow changes in tiny arteries and capillaries throughout the many layers of the cortex .
Compared to previous MRI methods with weaker magnets, the new technique can measure blood flow on a fine-grained scale, enabling scientists to remove unwanted signals (“noise”) such as those from surface-level arteries and veins. Getting an accurate read-out of activity from region to region across cortical layers can help scientists understand human brain function in greater detail in health and disease.
Having shown that the technology works as expected during relatively mundane hand movements, Wang and his team are now developing the approach for fine-grained 3D mapping of brain activity throughout the many layers of the brain. This type of analysis, known as mesoscale mapping, is key to understanding dynamic activities of neural circuits that connect brain cells across cortical layers and among brain regions.
Decoding circuits, and ultimately rewiring them, is a major goal of NIH’s BRAIN Initiative. Zoomed 7T perfusion fMRI gives us a window into 4D biology, which is the ability to watch 3D objects over time scales in which life happens, whether it’s playing an elaborate drum roll or just tapping your fingers.
 Neuroanatomical localization of the ‘precentral knob’ with computed tomography imaging. Park MC, Goldman MA, Park MJ, Friehs GM. Stereotact Funct Neurosurg. 2007;85(4):158-61.
. Laminar perfusion imaging with zoomed arterial spin labeling at 7 Tesla. Shao X, Guo F, Shou Q, Wang K, Jann K, Yan L, Toga AW, Zhang P, Wang D.J.J bioRxiv 2021.04.13.439689.
Brain Basics: Know Your Brain (National Institute of Neurological Disorders and Stroke)
Laboratory of Functional MRI Technology (University of Southern California Mark and Mary Stevens Neuroimaging and Informatics Institute)
The Brain Research Through Advancing Innovative Neurotechnologies® (BRAIN) Initiative (NIH)
Show Us Your BRAINs! Photo and Video Contest (BRAIN Initiative)
NIH Support: National Institute of Neurological Disorders and Stroke; National Institute of Biomedical Imaging and Bioengineering; Office of the Director
Immune Macrophages Use Their Own ‘Morse Code’
Posted on by Dr. Francis Collins
In the language of Morse code, the letter “S” is three short sounds and the letter “O” is three longer sounds. Put them together in the right order and you have a cry for help: S.O.S. Now an NIH-funded team of researchers has cracked a comparable code that specialized immune cells called macrophages use to signal and respond to a threat.
In fact, by “listening in” on thousands of macrophages over time, one by one, the researchers have identified not just a lone distress signal, or “word,” but a vocabulary of six words. Their studies show that macrophages use these six words at different times to launch an appropriate response. What’s more, they have evidence that autoimmune conditions can arise when immune cells misuse certain words in this vocabulary. This bad communication can cause them incorrectly to attack substances produced by the immune system itself as if they were a foreign invaders.
The findings, published recently in the journal Immunity, come from a University of California, Los Angeles (UCLA) team led by Alexander Hoffmann and Adewunmi Adelaja. As an example of this language of immunity, the video above shows in both frames many immune macrophages (blue and red). You may need to watch the video four times to see what’s happening (I did). Each time you run the video, focus on one of the highlighted cells (outlined in white or green), and note how its nuclear signal intensity varies over time. That signal intensity is plotted in the rectangular box at the bottom.
The macrophages come from a mouse engineered in such a way that cells throughout its body light up to reveal the internal dynamics of an important immune signaling protein called nuclear NFκB. With the cells illuminated, the researchers could watch, or “listen in,” on this important immune signal within hundreds of individual macrophages over time to attempt to recognize and begin to interpret potentially meaningful patterns.
On the left side, macrophages are responding to an immune activating molecule called TNF. On the right, they’re responding to a bacterial toxin called LPS. While the researchers could listen to hundreds of cells at once, in the video they’ve randomly selected two cells (outlined in white or green) on each side to focus on in this example.
As shown in the box in the lower portion of each frame, the cells didn’t respond in precisely the same way to the same threat, just like two people might pronounce the same word slightly differently. But their responses nevertheless show distinct and recognizable patterns. Each of those distinct patterns could be decomposed into six code words. Together these six code words serve as a previously unrecognized immune language!
Overall, the researchers analyzed how more than 12,000 macrophage cells communicated in response to 27 different immune threats. Based on the possible arrangement of temporal nuclear NFκB dynamics, they then generated a list of more than 900 pattern features that could be potential “code words.”
Using an algorithm developed decades ago for the telecommunications industry, they then monitored which of the potential words showed up reliably when macrophages responded to a particular threatening stimulus, such as a bacterial or viral toxin. This narrowed their list to six specific features, or “words,” that correlated with a particular response.
To confirm that these pattern features contained meaning, the team turned to machine learning. If they taught a computer just those six words, they asked, could it distinguish the external threats to which the computerized cells were responding? The answer was yes.
But what if the computer had five words available, instead of six? The researchers found that the computer made more mistakes in recognizing the stimulus, leading the team to conclude that all six words are indeed needed for reliable cellular communication.
To begin to explore the implications of their findings for understanding autoimmune diseases, the researchers conducted similar studies in macrophages from a mouse model of Sjögren’s syndrome, a systemic condition in which the immune system often misguidedly attacks cells that produce saliva and tears. When they listened in on these cells, they found that they used two of the six words incorrectly. As a result, they activated the wrong responses, causing the body to mistakenly perceive a serious threat and attack itself.
While previous studies have proposed that immune cells employ a language, this is the first to identify words in that language, and to show what can happen when those words are misused. Now that researchers have a list of words, the next step is to figure out their precise definitions and interpretations  and, ultimately, how their misuse may be corrected to treat immunological diseases.
 Six distinct NFκB signaling codons convey discrete information to distinguish stimuli and enable appropriate macrophage responses. Adelaja A, Taylor B, Sheu KM, Liu Y, Luecke S, Hoffmann A. Immunity. 2021 May 11;54(5):916-930.e7.
 NF-κB dynamics determine the stimulus specificity of epigenomic reprogramming in macrophages. Cheng QJ, Ohta S, Sheu KM, Spreafico R, Adelaja A, Taylor B, Hoffmann A. Science. 2021 Jun 18;372(6548):1349-1353.
Overview of the Immune System (National Institute of Allergy and Infectious Diseases/NIH)
Sjögren’s Syndrome (National Institute of Dental and Craniofacial Research/NIH)
Alexander Hoffmann (UCLA)
NIH Support: National Institute of General Medical Sciences; National Institute of Allergy and Infectious Diseases