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Neuroscientists have established in recent decades the idea that some of each day’s experiences are converted by the brain into permanent memories during sleep the same night. Now, a new study proposes a mechanism that determines which memories are tagged as Important enough to linger in the brain until sleep makes them permanent.

Led by researchers from NYU Grossman School of Medicine, the study revolves around brain cells called neurons that “fire” – or bring about swings in the balance of their positive and negative charges — to transmit electrical signals that encode memories. Large groups of neurons in the hippocampus fire together in rhythmic cycles, creating sequences of signals within milliseconds of each other that can encode complex information.

Called “sharp wave-ripples,” these “shouts” to the rest of the brain represent the near-simultaneous firing of 15 percent of hippocampal neurons, and are named for the shape they take when their activity is captured by electrodes and recorded on a graph.

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Artificial intelligence excels at sorting through information and detecting patterns or trends. But these machine learning algorithms need to be trained with large amounts of data first.

As researchers explore potential applications for AI, they have found scenarios where AI could be really useful—such as analyzing X-ray image data to look for evidence of rare conditions or detecting a rare fish species caught on a commercial fishing boat—but there’s not enough data to accurately train the algorithms.

Jenq-Neng Hwang, University of Washington professor of electrical and computer and engineering, specializes in these issues. For example, Hwang and his team developed a method that teaches AI to monitor how many distinct poses a baby can achieve throughout the day. There are limited training datasets of babies, which meant the researchers had to create a unique pipeline to make their algorithm accurate and useful.

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Budapest, Hungary — Twice daily intranasal oxytocin has been associated with improved social functioning, quality of life, and overall symptoms in adults with autism spectrum disorder (ASD), results of a small randomized control trial showed.

“One of the challenges for adults with autism is experiencing poor social interactions and difficulties in making friends. Insufficient social support from peers, friends, and family members can contribute to loneliness in adolescents with ASD, which in turn leads to anxiety, sadness, and social isolation,” said study investigator Saba Faraji Niri, MD, assistant professor of psychiatry, Tehran University of Medical Sciences in Iran.

Recent US data show is relatively common. In addition, previous research suggests intranasal oxytocin significantly increases activity in brain regions that play a role in establishing social interactions.

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Battery–electric vehicles have become ubiquitous as more people have realized how much less pollution they produce than traditional gas-powered cars. But another type of planet-friendly vehicle, the hydrogen car, has yet to catch on, for a few different reasons.

Now, a new technique developed by researchers at Rice University in Texas may provide the key to making hydrogen cars — and hydrogen fuel as a whole — more viable.

Hydrogen is incredibly attractive as an alternative to gas and oil — it is a storable fuel that produces no planet-overheating pollution when used. The problem, however, is that it produces a whole lot of planet-overheating pollution when it is made.

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This repository contains a re-implementation of the code for the paper Probing the 3D Awareness of Visual Foundation Models (CVPR 2024) which presents an analysis of the 3D awareness of visual foundation models.

Mohamed El Banani, Amit Raj, Kevis-Kokitsi Maninis, Abhishek Kar, Yuanzhen Li, Michael Rubinstein, Deqing Sun, Leonidas Guibas, Justin Johnson, Varun Jampani

If you find this code useful, please consider citing:

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A new hypothesis paper appearing in the Journal of Parkinson’s Disease on World Parkinson’s Day unites the brain-and body-first models with some of the likely causes of the disease–environmental toxicants that are either inhaled or ingested.

Pointing to a growing body of research linking environmental exposure to Parkinson’s disease, the authors believe the new models may enable the scientific community to connect specific exposures to specific forms of the disease. This effort will be aided by increasing public awareness of the adverse health effects of many chemicals in our environment. The authors conclude that their hypothesis “may explain many of the mysteries of Parkinson’s disease and open the door toward the ultimate goal–prevention.”

In addition to Parkinson’s, these models of environmental exposure may advance understanding of how toxicants contribute to other brain disorders, including autism in children, ALS in adults, and Alzheimer’s in seniors. Dorsey and his colleagues at the University of Rochester have organized a symposium on the Brain and the Environment in Washington, DC, on May 20 that will examine the role toxicants in our food, water, and air are playing in all these brain diseases.

Additional authors of the hypothesis paper include Briana De Miranda, PhD, with the University of Alabama at Birmingham, and Jacob Horsager, MD, PhD, with Aarhus University Hospital in Denmark.

Continue reading “On World Parkinson’s Day, a New Theory Emerges on the Disease’s Origins and Spread” | >

When you study science, and especially these realms of the biology of what makes us human, what’s clear is that every time you find out something, that brings up ten new questions, and half of those are better questions than you started with.

The artistic masterpiece above, reminiscent of a stained glass window, is the work of Michael Angelo—no, not the famous 16th Century Italian artist, but a 21st Century physician-scientist who’s out to develop a better way of looking at what’s going on inside solid tumors. Called multiplexed ion beam imaging (MIBI), Angelo’s experimental method may someday give clinicians the power to analyze up to 100 different proteins in a single tumor sample.

In this image, Angelo used MIBI to analyze a human breast tumor sample for nine proteins simultaneously—each protein stained with an antibody tagged with a metal reporter. Six of the nine proteins are illustrated here. The subpopulation of cells that are positive for three proteins often used to guide breast cancer treatment (estrogen receptor a, progesterone receptor, Ki-67) have yellow nuclei, while aqua marks the nuclei of another group of cells that’s positive for only two of the proteins (estrogen receptor a, progesterone receptor). In the membrane and cytoplasmic regions of the cell, red indicates actin, blue indicates vimentin, which is a protein associated with highly aggressive tumors, and the green is E-cadherin, which is expressed at lower levels in rapidly growing tumors than in less aggressive ones.

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