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Brain Injury

Machine Learning Aids in Detection of ‘Brain Tsunamis’: A Breakthrough in Treating Severe Brain Injuries

Scientists have recently detailed how automation and machine learning can aid clinicians treating patients with spreading depolarizations, sometimes referred to as ‘brain tsunamis.’

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The study, published in Scientific Reports, reveals that machine learning models can aid in automating the detection of spreading depolarizations (SDs), also referred to as “brain tsunamis.” These abnormal electrical activities occur in patients with acute brain injuries, including strokes and traumatic brain injuries (TBI).

Dr. Jed Hartings, a professor at the University of Cincinnati, led the research team that discovered that machine learning algorithms can accurately identify SD events in patients’ data. The study used over 2,000 hours of brain monitoring data from 24 patients with severe TBI, and experts manually reviewed and identified more than 3,500 unique SD events.

The researchers trained a machine learning model using half of the patient data to recognize and classify SD events. They then tested the algorithm on the remaining half of the data, which had not been seen before. The results showed that the method was able to identify SDs with a high degree of sensitivity and specificity, similar to an expert human scorer.

One surprising finding was that the machine learning algorithm could detect many SD events that were not identified using human scoring, likely due to its higher objectivity. Testing the limits of the algorithm, researchers found it could achieve a high degree of performance using minimal information, leaving room for further improvement by adding additional data.

The study’s impact is significant, as automated SD detection would allow any neurosurgical center to monitor patients for SDs without requiring specialized training. Many centers are interested in monitoring SDs but lack the knowledge or resources to implement it.

While the results are promising, Dr. Hartings cautioned that further development and validation are needed before automated detection fully replaces human expertise. However, even if not fully replacing human expertise, automated detection would reduce workload and increase response times by alerting physicians to review data or take action earlier than usual intervals.

The study’s limitations include the need for an electrode strip to be placed on the brain during neurosurgery, limiting the number of patients who can be monitored. However, research is ongoing to develop noninvasive detection methods that could monitor a larger population of patients.

Moving forward, Dr. Hartings and his colleagues are refining the algorithm using larger data sets and testing software implementation. They also plan for other institutions to trial the software and begin using it for patient care and research.

Alzheimer's

Rewinding Stroke Damage and Beyond: The Promise of GAI-17

Stroke kills millions, but Osaka researchers have unveiled GAI-17, a drug that halts toxic GAPDH clumping, slashes brain damage and paralysis in mice—even when given six hours post-stroke—and shows no major side effects, hinting at a single therapy that could also tackle Alzheimer’s and other tough neurological disorders.

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The devastating effects of stroke can be irreversible, leading to loss of neurons and even death. However, researchers have made a groundbreaking discovery that may change this grim reality. A team led by Osaka Metropolitan University Associate Professor Hidemitsu Nakajima has developed a revolutionary drug called GAI-17, which inhibits the protein GAPDH involved in cell death.

GAPDH, or glyceraldehyde-3-phosphate dehydrogenase, is a multifunctional protein linked to various debilitating brain and nervous system diseases. The team’s innovative approach was to create an inhibitor that targets this protein, preventing its toxic effects on neurons. When administered to model mice with acute strokes, GAI-17 showed astonishing results: significantly reduced brain cell death and paralysis compared to untreated animals.

The significance of GAI-17 extends far beyond stroke treatment. Experiments revealed no adverse effects on the heart or cerebrovascular system, making it a promising candidate for addressing other intractable neurological diseases, including Alzheimer’s disease. Moreover, the drug demonstrated remarkable efficacy even when administered six hours after a stroke – a critical window that could revolutionize stroke care.

“We believe our GAPDH aggregation inhibitor has the potential to be a single treatment for many debilitating neurological conditions,” Professor Nakajima expressed. “We will continue to explore its effectiveness in various disease models and strive towards creating a healthier, longer-lived society.”

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Brain Injury

Scientists Edge Closer to Reversing Parkinson’s Symptoms — A Breakthrough for Humans?

Scientists at the University of Sydney have uncovered a malfunctioning version of the SOD1 protein that clumps inside brain cells and fuels Parkinson’s disease. In mouse models, restoring the protein’s function with a targeted copper supplement dramatically rescued movement, hinting at a future therapy that could slow or halt the disease in people.

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Scientists have taken a groundbreaking step towards reversing Parkinson’s symptoms in mice, paving the way for potential treatments for humans. A team of researchers at the University of Sydney has identified a new brain protein involved in the development of Parkinson’s disease and found a way to modify it.

Parkinson’s disease is a degenerative neurological disorder that affects over 150,000 people in Australia alone, making it the second most common condition after dementia. The research team, led by Professor Kay Double from the Brain and Mind Centre, has spent more than a decade studying the biological mechanisms behind the condition.

In their latest study, published in Acta Neuropathologica Communications, the researchers found that targeting the faulty SOD1 protein with a drug treatment improved motor function in mice bred to have Parkinson-like symptoms. The mice treated with the special copper supplement showed significant improvements in their motor skills, which is a promising sign for potential human treatments.

Professor Double said: “We were astonished by the success of the intervention. We had hoped that treating this malfunctioning protein might improve the Parkinson-like symptoms in the mice, but even we were surprised by the dramatic improvement.”

The study involved two groups of mice: one group received the special copper supplement, while the other received a placebo. The results showed that the mice receiving the placebo experienced a decline in their motor symptoms, whereas those receiving the copper supplement did not develop movement problems.

Professor Double said: “The results were beyond our expectations and suggest that this treatment approach could slow the progression of Parkinson’s disease in humans.”

Parkinson’s disease is caused by the death of dopamine-producing cells in the brain, leading to a range of symptoms including tremors, muscle stiffness, slow movement, and impaired balance. Currently, there is no known cure, and only limited treatments are available.

The researchers hope that their discovery will lead to improved treatments for Parkinson’s disease. Professor Double said: “As our understanding of Parkinson’s disease grows, we are finding that there are many factors contributing to its development and progression in humans – and faulty forms of the SOD1 protein is likely one of them.”

Their next step is to identify the best approach to targeting the faulty SOD1 protein in a clinical trial, which could be the start of a new therapy to slow the development of Parkinson’s disease.

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Alzheimer's

Groundbreaking Study Suggests Link Between Semaglutide and Lower Dementia Risk in Type 2 Diabetes Patients

A blockbuster diabetes and weight-loss drug might be doing more than controlling blood sugar—it could also be protecting the brain. Researchers at Case Western Reserve University found that people with type 2 diabetes who took semaglutide (the active ingredient in Ozempic and Wegovy) had a significantly lower risk of developing dementia. The benefit was especially strong in women and older adults.

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A recent study by researchers at the Case Western Reserve School of Medicine has made an astonishing discovery that may revolutionize the way we approach dementia prevention. The research team found that semaglutide, a popular medication used to treat diabetes and aid in weight loss, could significantly lower the risk of dementia in people with type 2 diabetes (T2D).

Dementia is a devastating condition that affects millions worldwide, causing memory loss and cognitive decline. It occurs when brain cells are damaged, disrupting their connections and ultimately leading to this debilitating state. Encouragingly, studies indicate that approximately 45% of dementia cases could be prevented by addressing modifiable risk factors.

The study, published in the Journal of Alzheimer’s Disease, analyzed three years’ worth of electronic records from nearly 1.7 million T2D patients nationally. The researchers used a statistical approach that mimicked a randomized clinical trial to determine the effectiveness of semaglutide in preventing dementia.

Their findings suggest that patients prescribed semaglutide had a significantly lower risk of developing Alzheimer’s disease-related dementia compared to those taking other anti-diabetic medications, including GLP-1R-targeting medications. These results were even more pronounced in women and older adults.

Semaglutide, a glucagon-like peptide receptor (GLP-1R) molecule that decreases hunger and regulates blood sugar levels in T2D patients, has shown remarkable benefits beyond its primary use as a diabetes treatment. It also reduces the risk of cardiovascular diseases, further solidifying its potential in preventing dementia.

The study’s lead researcher, biomedical informatics professor Rong Xu, stated, “There is no cure or effective treatment for dementia, so this new study provides real-world evidence for its potential impact on preventing or slowing dementia development among at-high risk populations.”

While the findings are promising, it’s essential to note that further research through randomized clinical trials will be necessary to confirm the causal relationship between semaglutide and dementia prevention. Nevertheless, this groundbreaking study offers a glimmer of hope in the quest to combat dementia and improve the lives of millions worldwide.

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