With A Grain of Salt

French artist Nathalie Lété spent the quarantine painting her whole house.

Look at the doors. She even did the floors.

This is so cheerful, though.

Furniture, too. 

I’m not sure if this is the living room or the studio but I love it.

Painting kitchen tiles.

The upstairs hall. 

I like the painted headboard.

I like the tiles, but not the walls and the gold, so much.

Cute guest room in the attic. Very productive quarantine.

Precise Printing

Have you ever tried writing while on a jittery train? It’s not easy to maintain perfect penmanship when the surface keeps moving beneath your hand. The same problem applies in the emerging world of 3D bioprinting. Engineers and scientists aim to print medical devices such as sensors or scaffolds for injury repair directly onto the body, but that’s not easy when skin and organs are constantly moving with the rhythm of life. A new approach uses motion-capture technology, like that used in film production, to track the movement of a surface, such as the inflating and deflating pig lung in the video, and move the printer in time. Researchers could then lay down a gel-like sensor, which flexed with the organ and relayed information back. Implanting devices in and around the body could help monitor or speed recovery in patients, so this precise printing has great potential.

Written by Anthony Lewis

Video from work by Zhijie Zhu, Hyun Soo Park and Michael C. McAlpine

Department of Mechanical Engineering, University of Minnesota, Minneapolis, MN, USA

Video originally published with a Creative Commons Attribution 4.0 International (CC BY 4.0)

Published in Science Advances, June 2020

Winner: Lidija Kononenko 

Artist Kononenko described this interactive piece as “a microscope specimen, a map of symptoms, and an investigation of the unknown” in a statement accompanying it. Viewers can zoom in and explore the details of a microscope image of the peripheral nerve system, which is overlaid by textual facts and poetic phrases about sleep.Sleep is “a voluntary act of losing one’s own consciousness,” Konenenko explained in her statement. The poetic snippets resemble the fragmented thoughts humans have while falling asleep. And zooming in and out of the image represents the transition between wakefulness and sleep. Additionally, 31-3594 allows the viewer to act as a pathologist, achieving the goal of blending neuroscience and art. In assessing this unique piece, the jurors praised it for “the interactivity and playful combination of imagery of a human peripheral nerve with a text-based story that unfolds at various scales and highlights the role of the nervous system in the human condition.”

Honorable Mentions

Red Haze by Nicki Coveña

A tsunami of red dots dominates this image by neuroscientist Coveña. The bright red color comes from a fluorescent protein, which was used to visualize the workings of TBR1—a gene that synthesizes the protein that regulates the information transfer from DNA to messenger RNA in vertebrate embryo development. “The out-of-focus view makes one guess at what details are hidden below,” the jurors wrote.

Motor White Matter Networks of the Human Brain by Sanja Budisavljevic

In this piece, neuroscientist Budisavljevic superimposed color onto a 19th-century black-and-white drawing of a brain based on a postmortem dissection. Each color indicates a different “highway,” or white matter pathway connecting particular regions of gray matter and allowing information to be transferred. Red indicates the most prominent highway, which links the cortex and spinal cord. “This pathway carries the messages to and from the body and allows us to function in our sensory world,” Budisavljevic says. Green represents the connection that supports coordination, and blue shows the one that regulates movements.

Bdl by Paméla Simard (Alex Tran, photographs)

Artist Simard partnered with Hunter Shaw, a neuroscientist then at McGill University, to create a series of delicate wooden sculptures. “The various installations were created from fluorescent microscopy images representing the visual system of the fruit fly brain,” Simard wrote in her statement. The intricate details of the fruit fly visual system were made possible by first laminating the thin slices of different types of wood together, then hand cutting the result to mimic the microscope images.

More Art from 2020 Gallery

Whale Retina Rainbow by Elena Vecino Cordero and Luis López Vecino

In February 2019 the death of a whale in Sopelana Beach in Spain made the local news. The beach happened to be close to the University of the Basque Country, where biologist Vecino Cordero works. Seizing the opportunity, she and some volunteers extracted the eye of the whale and took it back to her ophthalmology research group for further study. The image was produced as a part of their research. The whale’s retina was imaged using scanning electron microscopy. And later López Vecino added the colors using Adobe Photoshop.

Sensing Spin by Dan Jagger

Physiologist Jagger used a high-resolution microscope to capture this image. It shows mechanosensory hair cells located in the inner ear that play a role in the sense of balance. A protein called actin is within bundles of stereocilia and is stained yellow. Actin helps the bundles to stand upright, so when the human head turns, they can detect the movement of the fluid they are immersed in. The hair-cell nuclei are stained with cyan.

The Protection of Nature Starts in Our Mind by Robert Luck

Luck is a neuroscientist at Heidelberg University in Germany who studies the development of the cerebellum, located where the spinal cord meets the brain. Alarmed by climate change and deforestation, he created a “mind forest” that resembles bird’s-eye-view photographs of real forests. The “trees” are 65 individually traced images of mice’s Purkinje neurons, which play important roles in controlling coordination and movements. “I chose the number 65 to represent the number of years needed for the rainforest to regrow and gain back at least 80% of its diversity,” Luck wrote in his statement. “[Sixty-five] years—a human lifetime!”

Memories and Patterns: Oligodendrocytes by Shanthi Chandrasekar

Oligodendrocytes are glial cells that support and insulate long neuronal axons. The cells’ lipid membrane wraps around the axons to strengthen the structure, as well as to help neurons to send signals quickly. “A single oligodendrocyte can connect with multiple axons,” artist Chandrasekar wrote in her statement. “In this [pen-and-ink] drawing, I have tried to bring out the connectedness of the oligodendrocytes and the axons.”

Shelter in Place by Geinene Carson

As its title suggests, this piece represents “the artist’s interpretation of the pandemic experience” while sheltering in place because of COVID-19, according to artist Carson’s statement. This acrylic-on-canvas piece is a part of a series entitled Neuron, which started as “visual prayers for our daughter with a rare genetic disorder,” Carson wrote on her Web site. While Shelter in Place implies physical restrictions, Carson, who is based in Atlanta, draws inspiration from the neural network, “because as important as our physical surroundings are to our state of living, our thought life holds the key to thriving within whatever the circumstances may be,” she wrote.

Bridges between Genesis and Neuroscience: Triplets by Rui Rodrigues

This image features three neurospheres—clusters of neural stem or progenitor cells—that are similar in size and shape. Because of their similarity, neurobiologist Rodrigues entitled the piece Triplets. The vibrant colors come from “antibodies coupled with fluorescent tags to label specific proteins,” he says.

The Transfer by Geinene Carson

Motor Neuron Architectural Digest by Stefanie Hauck - University of Bonn

I love the moon so, so much!

Study finds hackers could use brainwaves to steal passwords

Researchers at the University of Alabama at Birmingham suggest that brainwave-sensing headsets, also known as EEG or electroencephalograph headsets, need better security after a study reveals hackers could guess a user’s passwords by monitoring their brainwaves.

EEG headsets are advertised as allowing users to use only their brains to control robotic toys and video games specifically developed to be played with an EEG headset. There are only a handful on the market, and they range in price from $150 to $800.

Nitesh Saxena, Ph.D., associate professor in the UAB College of Arts and Sciences Department of Computer and Information Sciences, and Ph.D. student Ajaya Neupane and former master’s student Md Lutfor Rahman, found that a person who paused a video game and logged into a bank account while wearing an EEG headset was at risk for having their passwords or other sensitive data stolen by a malicious software program.

“These emerging devices open immense opportunities for everyday users,” Saxena said. “However, they could also raise significant security and privacy threats as companies work to develop even more advanced brain-computer interface technology.”

Saxena and his team used one EEG headset currently available to consumers online and one clinical-grade headset used for scientific research to demonstrate how easily a malicious software program could passively eavesdrop on a user’s brainwaves. While typing, a user’s inputs correspond with their visual processing, as well as hand, eye and head muscle movements. All these movements are captured by EEG headsets. The team asked 12 people to type a series of randomly generated PINs and passwords into a text box as if they were logging into an online account while wearing an EEG headset, in order for the software to train itself on the user’s typing and the corresponding brainwave.

“In a real-world attack, a hacker could facilitate the training step required for the malicious program to be most accurate, by requesting that the user enter a predefined set of numbers in order to restart the game after pausing it to take a break, similar to the way CAPTCHA is used to verify users when logging onto websites,” Saxena said.

The team found that, after a user entered 200 characters, algorithms within the malicious software program could make educated guesses about new characters the user entered by monitoring the EEG data recorded. The algorithm was able to shorten the odds of a hacker’s guessing a four-digit numerical PIN from one in 10,000 to one in 20 and increased the chance of guessing a six-letter password from about 500,000 to roughly one in 500.

EEG has been used in the medical field for more than half a century as a noninvasive method for recording electrical activity in the brain. Electrodes are placed on the surface of the scalp to detect brain waves. An EEG machine then amplifies the signals and records them in a wave pattern on graph paper or a computer. EEG can be combined with a brain-computer interface to allow a person to control external devices. This technology was once highly expensive and used mostly for scientific research, like the production of neuroprosthetic applications to help disabled patients control prosthetic limbs by thinking about the movements. However, it is now being marketed to consumers in the form of a wireless headset and is becoming popular in the gaming and entertainment industries.

“Given the growing popularity of EEG headsets and the variety of ways in which they could be used, it is inevitable that they will become part of our daily lives, including while using other devices,” Saxena said. “It is important to analyze the potential security and privacy risks associated with this emerging technology to raise users’ awareness of the risks and develop viable solutions to malicious attacks.”

“Bioengineers have made an artificial jellyfish using silicone and muscle cells from a rat’s heart. The synthetic creature, dubbed a medusoid, looks like a flower with eight petals. When placed in an electric field, it pulses and swims exactly like its living counterpart." 

(Image caption: Researchers at MIT and other institutions have devised a way to boost the quality of low-resolution patient MRI scans so they can be used for large-scale studies. Images produced by their algorithm, shown in the center column, are much closer to high-resolution scans shown in the right column. In the left column are images produced by a different technique for improving low-resolution scans)

New technique makes brain scans better

People who suffer a stroke often undergo a brain scan at the hospital, allowing doctors to determine the location and extent of the damage. Researchers who study the effects of strokes would love to be able to analyze these images, but the resolution is often too low for many analyses.

To help scientists take advantage of this untapped wealth of data from hospital scans, a team of MIT researchers, working with doctors at Massachusetts General Hospital and many other institutions, has devised a way to boost the quality of these scans so they can be used for large-scale studies of how strokes affect different people and how they respond to treatment.

“These images are quite unique because they are acquired in routine clinical practice when a patient comes in with a stroke,” says Polina Golland, an MIT professor of electrical engineering and computer science. “You couldn’t stage a study like that.”

Using these scans, researchers could study how genetic factors influence stroke survival or how people respond to different treatments. They could also use this approach to study other disorders such as Alzheimer’s disease.

Golland is the senior author of the paper, which was presented at the Information Processing in Medical Imaging conference during the week of June 25. The paper’s lead author is Adrian Dalca, a postdoc in MIT’s Computer Science and Artificial Intelligence Laboratory. Other authors are Katie Bouman, an MIT graduate student; William Freeman, the Thomas and Gerd Perkins Professor of Electrical Engineering at MIT; Natalia Rost, director of the acute stroke service at MGH; and Mert Sabuncu, an assistant professor of electrical and computer engineering at Cornell University.

Filling in data

Scanning the brain with magnetic resonance imaging (MRI) produces many 2-D “slices” that can be combined to form a 3-D representation of the brain.

For clinical scans of patients who have had a stroke, images are taken rapidly due to limited scanning time. As a result, the scans are very sparse, meaning that the image slices are taken about 5-7 millimeters apart. (The in-slice resolution is 1 millimeter.)

For scientific studies, researchers usually obtain much higher-resolution images, with slices only 1 millimeter apart, which requires keeping subjects in the scanner for a much longer period of time. Scientists have developed specialized computer algorithms to analyze these images, but these algorithms don’t work well on the much more plentiful but lower-quality patient scans taken in hospitals.

The MIT researchers, along with their collaborators at MGH and other hospitals, were interested in taking advantage of the vast numbers of patient scans, which would allow them to learn much more than can be gleaned from smaller studies that produce higher-quality scans.

“These research studies are very small because you need volunteers, but hospitals have hundreds of thousands of images. Our motivation was to take advantage of this huge set of data,” Dalca says.

The new approach involves essentially filling in the data that is missing from each patient scan. This can be done by taking information from the entire set of scans and using it to recreate anatomical features that are missing from other scans.

“The key idea is to generate an image that is anatomically plausible, and to an algorithm looks like one of those research scans, and is completely consistent with clinical images that were acquired,” Golland says. “Once you have that, you can apply every state-of-the-art algorithm that was developed for the beautiful research images and run the same analysis, and get the results as if these were the research images.”

Once these research-quality images are generated, researchers can then run a set of algorithms designed to help with analyzing anatomical features. These include the alignment of slices and a process called skull-stripping that eliminates everything but the brain from the images.

Throughout this process, the algorithm keeps track of which pixels came from the original scans and which were filled in afterward, so that analyses done later, such as measuring the extent of brain damage, can be performed only on information from the original scans.

“In a sense, this is a scaffold that allows us to bring the image into the collection as if it were a high-resolution image, and then make measurements only on the pixels where we have the information,” Golland says.

Higher quality

Now that the MIT team has developed this technique for enhancing low-quality images, they plan to apply it to a large set of stroke images obtained by the MGH-led consortium, which includes about 4,000 scans from 12 hospitals.

“Understanding spatial patterns of the damage that is done to the white matter promises to help us understand in more detail how the disease interacts with cognitive abilities of the person, with their ability to recover from stroke, and so on,” Golland says.

The researchers also hope to apply this technique to scans of patients with other brain disorders.

How Insulin in the Brain May Suppress the Subjective Feeling of Hunger

Eating behavior and the subjective feeling of hunger are regulated by a variety of hormones. Here a key role is played by the hormone insulin because it is not only active in the body, but also in the brain. It was previously known that insulin acts on the homeostatic region (hypothalamus*). Now, however, scientists have found that the hormone is also active in other brain regions. Researchers at the Institute for Diabetes Research and Metabolic Diseases of Helmholtz Zentrum München at the University of Tübingen, a partner of the DZD, have further deciphered the function of insulin in the brain as well as its influence on the subjective feeling of hunger and have published their findings in Scientific Reports, a Nature research journal.

To better understand the mechanism of action of insulin, the researchers administered insulin intranasally to healthy young adults. Through the application of the hormone via a nasal spray, the blood-brain barrier is bypassed and the insulin reaches the brain directly. In the study, 25 lean, ten overweight and 12 obese participants “sniffed” insulin or the placebo. Brain activity was then visualized and recorded by means of a functional magnetic resonance imaging (fMRI) scan. The result in all study participants: Intranasal insulin improves functional connectivity in the prefrontal regions of the default-mode network (DMN), a group of brain regions that are activated when a person is at rest and is not performing any tasks. This region is central to cognitive processes. In addition, the functional connectivity between the DMN and the hippocampus as well as the hypothalamus is strengthened. These changes in the brain also influence eating behavior and alter the relationship between adiposity and the hunger sensation. Actually, people with a lot of visceral adipose tissue** have an increased sensation of hunger. “Insulin-enhanced connectivity between the DMN and the hippocampus suppresses the relationship between adipose tissue and the subjective hunger feeling,” said Stephanie Kullmann, author of the study. The study participants felt less hunger after being administered intranasal insulin.