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Ultrafast MRI uncovers brain signal direction: New scan may help decode autism, Alzheimer’s and hallucinations

Researchers at the Champalimaud Foundation in Lisbon have for the first time managed to identify with an imaging technique whether nervous impulses in the brain of rats are flowing in a “bottom-up” (feedforward), carrying information about visual input, or a “top-down” (feedback) direction, carrying information about expectations or predictions on a given task or about the perception of the world around us. Their results, published in Nature Communications, could have important implications for understanding changes in the brains of people with hallucinations, Alzheimer’s, schizophrenia, autism, and other conditions.

Joana Carvalho, first author of the new study, who at the time was working in the Preclinical MRI lab led by senior author Noam Shemesh (she has since become a group leader at Coimbra University), “came up with the ideas, did the experiments and analyzed the results. I just brought the MRI expertise,” says Shemesh good-humoredly. Co-author Koen V. Haak from Tilburg University (Netherlands) gave assistance with the computational models and the others helped with the experiments.

The team showed that spontaneous feedforward and feedback nervous impulses in these rodents (the brain never sleeps) each have a unique, distinct signature, which can be detected by using a method they developed, called uFLARE (UltraFast Layer-Resolved Encoding), a neuroimaging technique designed to map brain activity with unprecedented high temporal and spatial resolutions.

In Silico Analysis of the Chikungunya Virus and SARS-CoV-2 Macrodomain

The chikungunya virus (ChikV) was first isolated during an arthritic disease outbreak in Tanzania in 1952 [1, 2]. ChikV is a mosquito-borne virus that belongs to the Alphavirus genus of the Togaviridae family. ChikV infections have emerged as a global health risk with approximately 16.9 million cases per year [3]. Major symptoms of ChikV infection include severe fever, rashes, and joint pain. Chronic arthritis-like symptoms may persist and can be debilitating [4, 5]. ChikV, a positive-sense RNA virus, encodes 5 structural proteins and 4 nonstructural proteins (NSP1 to NSP4) [6]. Nonstructural protein 3 (NSP3) consists of a conserved macrodomain (Mac1) at the N-terminus, a poorly conserved hypervariable domain, and a central zinc-binding domain known as the alphavirus unique domain [7]. The macrodomain fold is highly conserved across evolution, having been identified in bacteria, algae, and eukaryotes [8, 9]. It has been suggested that ChikV Mac1 suppresses the host immune response through its adenosine diphosphate ribosyl (ADP-ribosyl) hydrolase activity [10], which removes ADP-ribose posttranslational modifications from target host proteins by hydrolyzing mono-ADP-ribosylated aspartate and glutamate residues. Mac1 has therefore emerged as a promising antiviral drug target [10], supported by evidence suggesting that it is a key determinant of ChikV virulence in mice. Despite their therapeutic potential, efforts to identify ChikV inhibitors have had limited success. A fragment screen of ~14,000 compounds identified only weak inhibitors (e.g., 2-pyrimidone-4-carboxylic acid scaffold, with one of the compounds showing IC50 of 23 μM) [11]. Another computational docking and simulation study screened 820 compounds and predicted that natural compounds from plants, including apigetrin, baicalin, baloxavir, luteoloside, rutaecarpine, and amentoflavone [12], are Mac1 inhibitors. The predicted binding affinity of baicalin was −10.8 kcal/mol against ChikV Mac1. Another study identified N-[2-(5-methoxy-1 H-indol-3-yl) ethyl]-2-oxo-1,2-dihydroquinoline-4-carboxamide through virtual screening of 245,532 natural compounds, followed by in vitro validation using a microscale thermophoresis binding assay (binding constant [Kd] of 1.066 × 10−6 ± 0.95 μM) and in vivo inhibition of ChikV replication [13].

Similar to ChikV, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) NSP3 contains 3 tandem macrodomains, with Mac1 serving as the catalytically active macrodomain that binds and hydrolyzes mono-ADP-ribose on posttranslationally modified target host proteins [14,15]. SARS-CoV-2 Mac1 is essential for viral pathogenesis and represents a promising drug target [16,17]. In contrast to ChikV Mac1, it has proven amenable to inhibitor development. An early crystallographic screen of approximately 2,600 compounds revealed 234 fragment structures bound to SARS-CoV-2 Mac1 [18]. Using these hits, several optimized inhibitors were designed, followed by another round of crystallographic screening [19]. Among the resulting top inhibitors was AVI-4206, a potent inhibitor with an IC50 of 20 nM that is effective in an animal model of SARS-CoV-2 infection [20]. Other studies have identified additional promising scaffolds, including 2-amide-3-methylester thiophene scaffold derivatives that bind SARS-CoV-2 Mac1 (IC50 = 1.5 μM) and inhibit viral replication [21], synthetic analogs of ADP-ribose that bind SARS-CoV-2 Mac1 with nanomolar affinity [22], and pyrrolo-pyrimidine-based compounds that inhibit viral replication in SARS-CoV-2 [23].

The structural similarity between ChikV Mac1 and SARS-CoV-2 Mac1 [24] has not translated into similar druggability. One strategy to improve ligand-binding affinity is to exploit the presence of water molecules in the binding site by designing inhibitors that effectively use them to form bridging interactions that strengthen binding to the protein [25]. This strategy is particularly relevant for Mac1 ADP-ribose-binding sites, which are large, solvent exposed, and known to maintain an extensive network of ordered water molecules upon ADP binding. In SARS-CoV-2 Mac1, ADP-ribose forms several water-mediated interactions, resulting in the water network in the ADP-ribose-binding site reorganizing upon ligand binding [18,26].

Oldest Moon Craters Are Best Targets for Water Ice

“We found that the earlier a region became shadowed, the larger the area that was able to accumulate ice,” said Dr. Oded Aharonson. [ https://www.labroots.com/trending/space/30512/moon-craters-targets-water-ice-2](https://www.labroots.com/trending/space/30512/moon-craters-targets-water-ice-2)


What are the best places on the Moon to find water ice that can be used for future crewed missions to the Moon’s surface? This is what a recent study published in Nature Astronomy hopes to address as a team of scientists investigated potential regions of the Moon where future astronauts could have the highest chance of finding water ice. This study has the potential to help scientists, engineers, mission planners, and future astronauts narrow the scope for finding the best locations of water ice on the Moon to aid in future crewed missions, thus negating the need for water supplies from Earth.

For the study, the researchers analyze data obtained from the Lyman-Alpha Mapping Project (LAMP), which is an instrument on the Lunar Reconnaissance Orbiter designed to map the entire surface of the Moon in far ultraviolet light. They combined these findings with computer models designed to simulate how and when water was delivered to the Moon millions to billions of years ago.

In the end, the researchers found that Shackleton Crater, a portion of which is located directly at the lunar south pole, is not the most ideal location for water ice, which has long been thought. In contrast, the researchers propose that Haworth Crater is the ideal location for finding water ice. Additionally, the researchers found that some of these regions have been building water ice for as long as 1.5 billion years.

Hidden 3D atomic structure of relaxor ferroelectrics revealed for first time

Materials called relaxor ferroelectrics have been used for decades in technologies like ultrasounds, microphones, and sonar systems. Their unique properties come from their atomic structure, but that structure has stubbornly eluded direct measurement.

Now a team of researchers from MIT and elsewhere has directly characterized the three-dimensional atomic structure of a relaxor ferroelectric for the first time. The findings, reported in Science, provide a framework for refining models used to design next-generation computing, energy, and sensing devices.

“Now that we have a better understanding of exactly what’s going on, we can better predict and engineer the properties we want materials to achieve,” says corresponding author James LeBeau, MIT’s Kyocera Professor of Materials Science and Engineering.

New sensor sniffs out pneumonia on a patient’s breath

Diagnosing some diseases could be as easy as breathing into a tube. MIT engineers have developed a test to detect disease-related compounds in a patient’s breath. The new test could provide a faster way to diagnose pneumonia and other lung conditions. Rather than sit for a chest X-ray or wait hours for a lab result, a patient may one day take a breath test and get a diagnosis within minutes.

The new breath test is a portable, chip-scale sensor that traps and detects synthetic compounds, or “biomarkers,” of disease, which are initially attached to inhalable nanoparticles. The biomarkers serve as tiny tags that can only be unlocked and detached from the nanoparticle by a very particular key, such as a disease-related enzyme.

The idea is that a person would first breathe in the nanoparticles, similar to inhaling asthma medicine. If the person is healthy, the nanoparticles would eventually circulate out of the body intact. If a disease such as pneumonia is present, however, enzymes produced as a result of the infection would snip off the nanoparticles’ biomarkers. These untethered biomarkers would be exhaled and measured, confirming the presence of the disease.

We Were WRONG About the Quantum Eraser! ft. ‪@LookingGlassUniverse‬

Thank you to Cyber GhostVPN for Supporting PBS. Learn More About Cyber GhostVPN: https://cyberghostvpn.com/PBSSpaceTime.

Does quantum mechanics allow the future to retroactively influence the past, as in the infamous delayed choice quantum eraser experiment? How about we get an actual quantum physicist–who many of you already know–to show us how to do this experiment at home, and hopefully set this matter to rest.

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Physicists achieve first-ever ‘quadsqueezing’ quantum interaction

Researchers at the University of Oxford have demonstrated a new type of quantum interaction using a single trapped ion. By creating and controlling increasingly complex forms of “squeezing” – including a fourth-order effect known as quadsqueezing – the team has, for the first time, made previously unreachable quantum effects experimentally accessible.

The approach also provides a new way to engineer these interactions, with potential applications in quantum simulation, sensing, and computing. Their results have been published in Nature Physics.

Many systems in physics behave like tiny objects that vibrate or swing back and forth, like a spring or a pendulum. In quantum physics, these are known as quantum harmonic oscillators. Light waves, vibrations in molecules, and even the motion of a single trapped atom can all be described in this way. Controlling these systems is important for quantum technologies, from ultra-precise sensors to new kinds of quantum computers.

Computer vision helps observers understand how iconic artworks were created

Paintings are often made up of thousands of tiny brushstrokes, each going in a certain direction, that are not easily observed by the viewer. A cross-disciplinary research team from the Penn State College of Information Sciences and Technology (IST) and Loughborough University in England has developed an image analysis method that helps to make the underlying brushstroke structure of paintings visible, giving new insight into how artists physically created their works.

This approach offers both experts and non-experts a fresh way to observe and interpret the making of artworks. The research was recently published in the journal Patterns.

The researchers bridged art and data science to show that painting style can be quantified and visualized as flow, turning elusive qualities like “gesture” into measurable, analyzable data. They used a computational technique to examine very small patches of Impressionist paintings, determining the direction of the brushstroke in each tiny spot and connect these different directions, as if drawing lines that follow the flow.

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