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Researchers at the University of California, Davis, have identified distinct cell types within the amygdala that may hold the potential to revolutionise treatment for anxiety, depression, and other emotional disorders. This discovery could pave the way for more focused therapies targeting the specific cells responsible for anxiety-related conditions, a major step forward in understanding and managing these complex disorders. The findings were detailed in the American Journal of Psychiatry on October 30, highlighting the amygdala’s role as a critical structure in emotion regulation and its potential as a focal point for therapeutic advances.

Exploring the Role of the Amygdala in Emotional Disorders

The report was published on Psychiatry Online. As per the research, Drew Fox, Associate Professor in UC Davis’ Department of Psychology, explained the amygdala’s fundamental role in processing emotions like fear and anxiety, pointing out that these conditions impact millions globally. Despite the longstanding interest in whether amygdala size or structure links to emotional disorders, Fox noted that previous studies show limited correlation between overall amygdala size and anxiety or depression. Instead, the focus is shifting toward the amygdala’s cellular composition, where certain clusters may serve distinct emotional functions and could be directly involved in the onset of anxiety and related disorders.

Advanced Techniques Reveal Cellular Insights

The UC Davis team, led by graduate student Shawn Kamboj in collaboration with Professor Cynthia Schumann from the UC Davis School of Medicine, used single-cell RNA sequencing to isolate specific cell clusters in both human and non-human primates. This advanced approach allowed researchers to sort cells based on their gene expression patterns, identifying cells that likely contribute to emotional dysregulation. By isolating genes actively expressed within each cell, the team mapped a comprehensive cellular profile that could help in translating findings from animal models to human applications.

FOXP2 and Potential Drug Targets for Anxiety

Among their discoveries, researchers highlighted cells expressing the FOXP2 gene, which they believe plays a ‘gatekeeper’ role within the amygdala. Located at the amygdala’s edges, these FOXP2-positive cells are thought to regulate signals associated with anxiety. In rodent models, this group of cells appears to act as a checkpoint, controlling the flow of information related to fear responses. The team also identified Neuropeptide FF Receptor 2 (NPFFR2) in these cells, offering a promising target for future drug therapies.

Implications for Anxiety Treatments

This research could give advance treatment options by showing how specific cell types contribute to anxiety, potentially allowing for therapies aimed at ‘chokepoints’ in emotional processing. According to Fox, the aim is to develop interventions that specifically address the cells influencing anxiety,making way for highly targeted and effective treatments.

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Underwater Neutrino Telescopes in the Mediterranean for Cosmic Research

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Underwater Neutrino Telescopes in the Mediterranean for Cosmic Research

Efforts are underway in the Mediterranean Sea to install the underwater neutrino telescope known as KM3NeT, as reported by various sources. The telescopes are designed to detect high-energy neutrinos, subatomic particles emitted from unidentified cosmic sources. Unlike traditional telescopes, these devices rely on capturing light generated when neutrinos collide with seawater. This massive project spans a cubic kilometre of the Mediterranean and involves deploying hundreds of detector strands. The work aims to unveil new insights about the universe.

Unique Design and Deployment Challenges

According to experts, KM3NeT comprises two distinct telescopes featuring glass spheres, each packed with photomultiplier tubes. Simone Biagi, a physicist at Italy’s National Institute for Nuclear Physics, shared with Science News that the telescopes are situated several kilometres below the surface. Deployment involves suspending cables of sensors, resembling strands of pearls, each up to 700 metres in length. These are lowered to the seabed and gradually released to unfurl in the water. A remotely operated submersible is used to make precise connections and inspect the setup.

Scientific Goals of the Project

Sources indicate that one telescope, positioned off Sicily’s coast, is designed to observe high-energy neutrinos originating from space. The second, off the coast of France, is dedicated to studying atmospheric neutrinos and their oscillations. These oscillations provide vital data about how neutrinos shift between different forms, contributing to advancements in particle physics.

Operational Challenges at Sea

Physicists working on this project face significant challenges, including harsh sea conditions and tight schedules. According to reports, deployment campaigns occur annually, each lasting about a month. During this period, researchers work under immense pressure to ensure all equipment functions perfectly. Any errors must be corrected immediately, as adjustments after deployment are impossible.

Experts suggest that the partially completed KM3NeT telescopes are already yielding valuable scientific data, providing insights into quantum gravity effects and neutrino behaviours.

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Virginia Mathematicians Use Algebraic Geometry to Reduce Data Centre Energy Use

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Virginia Mathematicians Use Algebraic Geometry to Reduce Data Centre Energy Use

Efforts to improve data centre efficiency have led mathematicians at Virginia Tech to develop a novel method of data storage and retrieval. According to reports, the researchers have utilised algebraic geometry to tackle issues arising from high energy consumption in data centres, which is impacting global climate goals. This breakthrough was detailed in IEEE BITS, where the team presented a fresh approach to managing the growing volume of data generated by individuals and corporations.

Innovative Use of Algebraic Structures

As per a report by Phys.org, tt was explained by Gretchen Matthews, professor of mathematics at Virginia Tech and director of the Southwest Virginia node of the Commonwealth Cyber Initiative, that conventional methods of data replication often result in duplicating vast quantities of information. As reported, Matthews noted that smarter alternatives could significantly reduce such redundancy. Hiram Lopez, assistant professor of mathematics, added that the new method employs algebraic structures to fragment data and distribute it across servers positioned in close proximity. This ensures that, in the event of server failure, the missing data can be recovered through neighbouring servers without extensive energy use.

Mathematics Behind the Solution

The use of special polynomials for data storage was highlighted as a significant advancement. Although polynomials have been linked to data storage since the 1960s, recent developments have made them more practical for applications like localised data recovery. Matthews pointed out in IEEE BITS that these structures offer an efficient and reliable way to manage data, addressing issues related to storage and retrieval energy demands.

Addressing Rising Power Consumption

The method arrives at a critical time, as energy demand across the United States continues to rise, driven by the increasing number of data centres. Matthews emphasised in the publication that sustainable improvements in existing systems could play a vital role in managing energy consumption.

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Leaves’ Resilience to Raindrops Might Help in Agriculture

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Leaves' Resilience to Raindrops Might Help in Agriculture

Research published in Physical Review Fluids has revealed the intricate dynamics between raindrops and leaves, shedding light on how plants withstand the force of falling water. The study, titled “Resonance and Damping in Drop-Cantilever Interactions,” highlights the mechanics that protect leaves and suggests innovative applications for agriculture and renewable energy. Using high-speed imaging, researchers observed the interaction between water droplets and a plastic beam, which simulated the structural behavior of leaves.

According to Professor Sunghwan Jung, from Cornell University’s Department of Biological and Environmental Engineering, in a statement, the droplet and beam move in opposing directions upon impact. This counteraction reduces vibration, offering protection to the plant. The findings align with unexplained discrepancies previously noted by scientists, which the team analysed by examining the natural frequency alignment of the beam and droplet.

Insights into Plant Adaptation

Lead author Crystal Fowler, a doctoral candidate in biological engineering, stated that the study confirmed increased damping when the droplet’s natural frequency matched the beam’s. This phenomenon resulted in a faster reduction of vibrations, potentially reducing stress on plant leaves and contributing to their longevity. The findings may also enhance understanding of water flow through forest canopies and plant morphological evolution.

Potential for Renewable Energy Applications

The research team proposed that the principles observed could extend to renewable energy. Professor Jung suggested piezoelectric materials could replace the beam to harness energy from rain-induced vibrations.

This paper marks a significant milestone for Fowler, a member of the Navajo Nation. Reflecting on her experience, she expressed enthusiasm for exploring biological engineering and its broader implications. The study not only provides a glimpse into plant resilience but also opens avenues for innovative technology inspired by natural processes.

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