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Brain ageing patterns that could be indicative of a neurodegenerative disease or brain atrophy have been discovered by a study. As many as five such patterns have emerged after an extensive analysis of nearly 50,000 brain scans, the study claimed. Conducted by researchers using advanced machine-learning techniques, this study provides new insights into the complex ways in which the brain deteriorates over time. The findings could significantly aid in the early detection of conditions such as dementia and Parkinson’s disease by identifying these patterns at an early stage, potentially leading to improved predictive tools and preventive measures.

Machine Learning Sheds Light on Brain Degeneration

Published in Nature Medicine on 15 August 2024, the study employed a deep-learning algorithm known as Semi-Supervised Representation Learning via GAN (Surreal-GAN), where GAN stands for generative adversarial networks. This algorithm was trained on MRI scans from over 10,000 individuals, including both healthy participants and those with cognitive decline.

Surreal-GAN enabled the detection of subtle changes in brain anatomy that are often imperceptible to the human eye. By recognising recurring features in the MRI scans, the algorithm developed a model to identify anatomical structures that change concurrently, revealing the five distinct patterns of brain degeneration.

Patterns Linked to Lifestyle and Genetic Factors

In addition to identifying these patterns, the researchers discovered significant links between them and various lifestyle factors, such as smoking and alcohol consumption, as well as genetic markers associated with overall health. This connection suggests that physical health has a profound impact on brain health. For instance, the study found that three of the five patterns were associated with dementia and mild cognitive impairment. Interestingly, one specific pattern was highly predictive of future brain degeneration, offering valuable insights for early intervention.

Implications for Early Detection and Treatment

These findings present new opportunities for early diagnosis and intervention in neurodegenerative diseases. Understanding how these patterns develop over time allows researchers to devise better strategies for monitoring brain health and potentially slowing the progression of these conditions.

While the study can be impactful, it does have limitations, such as the need for a more diverse dataset encompassing a broader range of neurological conditions and a more varied population sample in terms of race and ethnicity.

Overall, this research marks a significant advancement in the field of neuroimaging and offers hope for more effective management of brain health. By highlighting the associations between brain atrophy patterns and lifestyle factors, the study underscores the importance of maintaining overall physical well-being to preserve neurological health. As future research builds on these findings, there is potential for developing more precise diagnostic tools and treatment strategies for neurodegenerative diseases.
 

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Drone mapping reveals ancient settlement in the Caucasus Mountains

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Drone mapping reveals ancient settlement in the Caucasus Mountains

A groundbreaking discovery has been made in the Caucasus Mountains where an ancient Bronze Age settlement, Dmanisis Gora, has been mapped using drone technology. This site, believed to be over 3,000 years old, reveals new insights into the evolution of large-scale settlements during the Late Bronze Age and Early Iron Age. Spanning an area far larger than initially expected, the research offers a fresh perspective on ancient urbanism and interactions between sedentary and mobile communities.

Drone Mapping Reveals Extensive Settlement

As reported by Science Daily, the project led by Dr. Nathaniel Erb-Satullo, Senior Lecturer in Architectural Science at Cranfield Forensic Institute and Dimitri Jachvliani, co-director at the Georgian National Museum, employed drone technology to create high-resolution models of the site. The drone, equipped with advanced imaging tools, captured nearly 11,000 photographs, which were later used to generate detailed maps of the settlement. This method allowed the identification of fortification walls, graves and other structural remnants spread across a vast area.

The site, originally thought to be much smaller, was found to include a 1-kilometre-long defensive wall protecting an outer settlement. This finding significantly alters the understanding of the region’s settlement patterns, which were influenced by interactions with pastoral communities and seasonal population dynamics.

Integrating Modern and Historical Data

To further analyse the settlement, drone-generated images were compared with declassified satellite imagery from the Cold War era. This comparison highlighted changes in the landscape over decades, distinguishing ancient features from those impacted by modern agricultural activities. Geographic Information System (GIS) software was employed to integrate and analyse the diverse datasets, revealing patterns in the site’s expansion and usage over time.

Dr. Erb-Satullo noted to Science Daily, that these findings offer invaluable data on population density, agricultural practices and the broader socio-economic landscape of ancient societies. Continued excavations have uncovered artefacts such as pottery shards and animal remains, shedding more light on the lives of the people who inhabited Dmanisis Gora. This research underscores the potential of drone technology in unearthing and documenting historical sites on an unprecedented scale

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Ancient Geological Hotspot Linked to Great Lakes’ Depth and Formation

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Ancient Geological Hotspot Linked to Great Lakes' Depth and Formation

Evidence has emerged pointing to a significant role played by an ancient geographic hotspot in shaping the Great Lakes. Researchers have linked the formation of these massive water bodies to a hotspot that interacted with the Earth’s lithosphere millions of years ago. While the lakes are commonly attributed to glacial activity during the Ice Age, recent findings suggest that deeper geological processes may have contributed to their formation, providing insight into their extraordinary depth and size.

Study Highlights Geological Interactions

According to research published in Geophysical Research Letters, a team of scientists from the University of Houston and the University of Arizona investigated the Cape Verde hotspot’s historical activity. Hotspots, known for generating heat and material flow from the Earth’s mantle, are believed to have influenced the Great Lakes region approximately 225 to 300 million years ago. As Pangea, the ancient supercontinent, moved over this hotspot, thinning of the lithosphere occurred, making the ground beneath more susceptible to external forces.

Seismic Clues Support Hotspot Theory

As reported by phys.org, data from seismic wave analyses supported these claims. Unusual horizontal wave movement beneath the lakes indicated lithospheric deformation. This anomaly aligned with the passage of North America over the hotspot during its drift over geological time. These conditions, as reported, would have created a weakened crust, later amplified by glacial activity during the Ice Age.

Hotspot’s Legacy in the Great Lakes Formation

The research outlines how the Cape Verde hotspot likely underlay Lake Superior, Lake Huron, and Lake Erie at different points in history, contributing to the geological features that enabled the Great Lakes to form. The fragile crust allowed ice to carve deeper and larger depressions than would have been possible otherwise, creating the unique landscape seen today.

These findings reshape understanding of the Great Lakes’ origins, suggesting that both deep-Earth processes and surface phenomena played critical roles in their formation.

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LA wildfires rage as Santa Ana winds spread flames across 13,000 acres

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LA wildfires rage as Santa Ana winds spread flames across 13,000 acres

Raging wildfires in Los Angeles County have scorched over 13,000 acres, forcing tens of thousands of residents to evacuate as powerful Santa Ana winds continue to fuel the blazes. Four fires—the Eaton Fire in Pasadena, the Palisades Fire in Pacific Palisades, a blaze in Sylmar and another in the Sepulveda Basin—have collectively caused widespread destruction. Over 1,000 structures have been damaged and two fatalities have been confirmed as firefighting efforts are challenged by dry weather and hurricane-force winds reaching speeds of 99 mph.

Santa Ana Winds Amplifying Fire Threats

According to the National Weather Service (NWS), the wildfires have been intensified by the Santa Ana winds, which are characterised by dry and warm air moving from the Great Basin towards the California coast. These winds descend over mountain ranges, increasing in speed and losing moisture, creating conditions that rapidly spread flames. Reports indicate that some areas have recorded wind speeds of up to 100 mph in mountain passes, complicating containment efforts and grounding firefighting aircraft overnight.

Hydrant Issues and Evacuations Reported

The Los Angeles Times has reported water supply problems, with several fire hydrants in Pacific Palisades running dry. This issue has further hindered firefighting operations as crews battle to control the Eaton Fire, which has consumed 10,600 acres near Altadena and Pasadena. Meanwhile, the Palisades Fire has burned through 2,900 acres. Evacuations remain in place as residents are warned to avoid affected areas.

Winds Expected to Subside

Forecasts from the NWS predict a decrease in wind activity by Wednesday afternoon as an ocean breeze is expected to bring relief. Efforts to contain the flames are anticipated to accelerate once conditions improve. Officials continue to monitor additional fires, including one in Riverside that has been partially contained and another reported in Ventura.

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