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Category: neuroscience – Page 244

Read this fascinating case study on the impact of physical rehabilitation using X-Sens Inertial Technology feedback for Posterior Cerebral Artery Infarcts! 🧠.

Acute ischemic stroke (AIS) affecting the posterior cerebral artery (PCA) represents a unique clinical challenge, necessitating a multifaceted approach to rehabilitation. This review aims to provide a comprehensive overview of physiotherapeutic interventions tailored specifically for individuals with AIS involving the PCA territory. The PCA supplies critical areas of the brain responsible for visual processing, memory, and sensory integration. Consequently, patients with PCA infarcts often exhibit a distinct set of neurological deficits, including visual field disturbances, cognitive impairments, and sensory abnormalities. This case report highlights evidence-based physiotherapy strategies that encompass a spectrum of interventions, ranging from early mobilization and motor training to sensory reintegration and cognitive rehabilitation.

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The stress-induced mechanisms that cause our brain to produce feelings of fear in the absence of threats have been mostly a mystery. Now, neurobiologists at the University of California San Diego have identified the changes in brain biochemistry and mapped the neural circuitry that cause such a generalized fear experience. Their research, published in the journal Science on March 15, 2024, provides new insights into how fear responses could be prevented.

In their report, former UC San Diego Assistant Project Scientist Hui-quan Li, (now a senior scientist at Neurocrine Biosciences), Atkinson Family Distinguished Professor Nick Spitzer of the School of Biological Sciences and their colleagues describe the research behind their discovery of the neurotransmitters — the chemical messengers that allow the brain’s neurons to communicate with one another — at the root of stress-induced generalized fear.

Studying the brains of mice in an area known as the dorsal raphe (located in the brainstem), the researchers found that acute stress induced a switch in the chemical signals in the neurons, flipping from excitatory “glutamate” to inhibitory “GABA” neurotransmitters, which led to generalized fear responses.

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This paper introduces a novel theoretical framework for understanding consciousness, proposing a paradigm shift from traditional biological-centric views to a broader, universal perspective grounded in thermodynamics and systems theory. We posit that consciousness is not an exclusive attribute of biological entities but a fundamental feature of all systems exhibiting a particular form of intelligence. This intelligence is defined as the capacity of a system to efficiently utilize energy to reduce internal entropy, thereby fostering increased order and complexity. Supported by a robust mathematical model, the theory suggests that subjective experience, or what is often referred to as qualia, emerges from the intricate interplay of energy, entropy, and information within a system. This redefinition of consciousness and intelligence challenges existing paradigms and extends the potential for understanding and developing Artificial General Intelligence (AGI). The implications of this theory are vast, bridging gaps between cognitive science, artificial intelligence, philosophy, and physics, and providing a new lens through which to view the nature of consciousness itself.

Consciousness, traditionally viewed through the lens of biology and neurology, has long been a subject shrouded in mystery and debate. Philosophers, scientists, and thinkers have pondered over what consciousness is, how it arises, and why it appears to be a unique trait of certain biological organisms. The “hard problem” of consciousness, a term coined by philosopher David Chalmers, encapsulates the difficulty in explaining why and how physical processes in the brain give rise to subjective experiences.

Current research in cognitive science, neuroscience, and artificial intelligence offers various theories of consciousness, ranging from neural correlates of consciousness (NCCs) to quantum theories. However, these theories often face limitations in fully explaining the emergence and universality of consciousness.

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A team from the University of Geneva (UNIGE) has succeeded in modeling an capable of this cognitive prowess. After learning and performing a series of basic tasks, this AI was able to provide a linguistic description of them to a “sister” AI, which in turn performed them. These promising results, especially for robotics, are published in Nature Neuroscience.

Performing a new without prior training, on the sole basis of verbal or written instructions, is a unique human ability. What’s more, once we have learned the task, we are able to describe it so that another person can reproduce it. This dual capacity distinguishes us from other species which, to learn a new task, need numerous trials accompanied by positive or negative reinforcement signals, without being able to communicate it to their congeners.

A sub-field of (AI)—Natural language processing—seeks to recreate this human faculty, with machines that understand and respond to vocal or textual data. This technique is based on artificial neural networks, inspired by our biological neurons and by the way they transmit electrical signals to one another in the brain. However, the neural calculations that would make it possible to achieve the cognitive feat described above are still poorly understood.

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ICYMI: March 15, 2024 was World Sleep Day.

Sleep is super important for the brain — that’s when memories can be turned from short term to long term memories. And during sleep the brain’s cleaning system is working at full capacity! đŸ«§đŸ§ŒđŸšżđŸ’Š

During sleep, our brains are busy consolidating memories and removing waste to keep our minds sharp. Recent findings from Yale on sleep hygiene and more.

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NEW ORLEANS, March 18, 2024 — Doctors have long prescribed exercise to improve and protect health. In the future, a pill may offer some of the same benefits as exercise. Now, researchers report on new compounds that appear capable of mimicking the physical boost of working out — at least within rodent cells. This discovery could lead to a new way to treat muscle atrophy and other medical conditions in people, including heart failure and neurodegenerative disease.

The researchers will present their results today at the spring meeting of the American Chemical Society (ACS). ACS Spring 2024 is a hybrid meeting being held virtually and in person March 17–21; it features nearly 12,000 presentations on a range of science topics.

“We cannot replace exercise; exercise is important on all levels,” says Bahaa Elgendy, the project’s principal investigator who is presenting the work at the meeting. “If I can exercise, I should go ahead and get the physical activity. But there are so many cases in which a substitute is needed.”

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Researchers from Weill Cornell Medicine have discovered that unique bacteria colonize the gut shortly after birth and make the neurotransmitter serotonin to educate gut immune cells that help in preventing allergic reactions to food and the bacteria themselves during early development.

The study published in the journal Science Immunology on March 15, 2024, revealed that bacteria abundant in the guts of newborns produce serotonin, which promotes the development of immune cells called T-regulatory cells or Tregs. These cells suppress inappropriate immune responses to help prevent autoimmune diseases and dangerous allergic reactions to harmless food items or beneficial gut microbes.

“The gut is now known as the second human brain as it makes over 90 percent of the neurotransmitters in the human body. While neurotransmitters such as serotonin are best known for their roles in brain health, receptors for neurotransmitters are located throughout the human body,” explained the study’s senior author, Dr. Melody Zeng, an assistant professor of immunology in the Gale and Ira Drukier Institute for Children’s Research and the Department of Pediatrics at Weill Cornell Medicine.

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As we age, we might begin to observe that it takes more time to recall the exact words we want to use. This situation can raise worries about cognitive deterioration and the risk of dementia.

However, a new study by Baycrest and the University of Toronto suggests that talking speed is a more important indicator of brain health than difficulty finding words, which appears to be a normal part of aging. This is one of the first studies to look at both differences in natural speech and brain health among healthy adults.

“Our results indicate that changes in general talking speed may reflect changes in the brain,” says Dr. Jed Meltzer, Baycrest’s Canada Research Chair in Interventional Cognitive Neuroscience and the lead author on this study. “This suggests that talking speed should be tested as part of standard cognitive assessments to help clinicians detect cognitive decline faster and help older adults support their brain health as they age.”

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A soft brain implant that unfurls under the skull could give doctors a less invasive way to monitor patients’ brain activity — and maybe allow people to directly control technology with their minds.

The challenge: Placing an electrode array on the surface of the brain allows scientists to see neural activity in far more detail than is possible with electrodes outside of the skull.

Known as “electrocorticography,” this technology was initially developed to treat people with epilepsy, but it’s also been used in research for other types of neurological disorders and in the development of brain-computer interfaces.

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