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Brain Injury

“Revolutionizing Multiple Sclerosis Treatment with AI: UCL Researchers’ Breakthrough Tool, MindGlide”

A new artificial intelligence (AI) tool that can help interpret and assess how well treatments are working for patients with multiple sclerosis (MS) has been developed.

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The University College London (UCL) has made a groundbreaking discovery in the field of multiple sclerosis (MS) research. A new artificial intelligence (AI) tool called MindGlide has been developed by UCL researchers, enabling them to track the effectiveness of MS treatments more accurately than ever before.

MindGlide is an AI-powered platform that uses mathematical models to train computers and perform complex tasks like image recognition. This innovative tool can extract key information from brain images acquired during the care of MS patients, including measuring damaged areas of the brain, highlighting subtle changes such as brain shrinkage and plaques.

MS is a condition where the immune system attacks the brain and spinal cord, causing problems in movement, feelings, or thoughts. In the UK, 130,000 people live with MS, costing the NHS more than £2.9 billion a year. Magnetic Resonance Imaging (MRI) markers are crucial for studying and testing treatments for MS; however, measuring these markers needs different types of specialized MRI scans, limiting the effectiveness of many routine hospital scans.

The researchers tested MindGlide on over 14,000 images from more than 1,000 patients with MS. This task had previously required expert neuro-radiologists to interpret years of complex scans manually – a process that took weeks due to NHS workload constraints. However, for the first time, MindGlide was able to successfully use AI to detect how different treatments affected disease progression in clinical trials and routine care, using images that could not previously be analyzed and routine MRI scan images. The process took just five to 10 seconds per image.

MindGlide performed better than two other AI tools – SAMSEG (a tool used to identify and outline different parts of the brain in MRI scans) and WMH-SynthSeg (a tool that detects and measures bright spots seen on certain MRI scans, important for diagnosing and monitoring conditions like MS) – when compared to expert clinical analysis. MindGlide was 60% better than SAMSEG and 20% better than WMH-SynthSeg for locating brain abnormalities known as plaques or lesions or for monitoring treatment effect.

First author Dr Philipp Goebl (UCL Queen Square Institute of Neurology and UCL Hawkes Institute) said, “Using MindGlide will enable us to use existing brain images in hospital archives to better understand multiple sclerosis and how treatment affects the brain. We hope that the tool will unlock valuable information from millions of untapped brain images that were previously difficult or impossible to understand, immediately leading to valuable insights into multiple sclerosis for researchers and, in the near future, to better understand a patient’s condition through AI in the clinic.”

The results show that it is possible to use MindGlide to accurately identify and measure important brain tissues and lesions even with limited MRI data and single types of scans that aren’t usually used for this purpose. As well as performing better at detecting changes in the brain’s outer layer, MindGlide also performed well in deeper brain areas.

The researchers now hope that MindGlide can be used to evaluate MS treatments in real-world settings, overcoming previous limitations of relying solely on high-quality clinical trial data, which often did not capture the full diversity of people with MS.

Biochemistry

A Breakthrough in Brain Research: The Iontronic Pipette Revolutionizes Neurological Studies

Researchers have developed a new type of pipette that can deliver ions to individual neurons without affecting the sensitive extracellular milieu. Controlling the concentration of different ions can provide important insights into how individual brain cells are affected, and how cells work together. The pipette could also be used for treatments.

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The development of an iontronic pipette at Linköping University has opened up new avenues for neurological research. This innovative tool allows researchers to deliver ions directly to individual neurons without affecting the surrounding extracellular milieu. By controlling the concentration of various ions, scientists can gain valuable insights into how brain cells respond to different stimuli and interact with each other.

The human brain consists of approximately 85-100 billion neurons, supported by a similar number of glial cells that provide essential functions such as nutrition, oxygenation, and healing. The extracellular milieu, a fluid-filled space between the cells, plays a crucial role in maintaining cell function. Changes in ion concentration within this environment can activate or inhibit neuronal activity, making it essential to study how local changes affect individual brain cells.

Previous attempts to manipulate the extracellular environment involved pumping liquid into the area, disrupting the delicate biochemical balance and making it difficult to determine whether the substances themselves or the changed pressure were responsible for the observed effects. To overcome this challenge, researchers at the Laboratory of Organic Electronics developed an iontronic micropipette measuring only 2 micrometers in diameter.

This tiny pipette can deliver ions such as potassium and sodium directly into the extracellular milieu, allowing scientists to study how individual neurons respond to these changes. Glial cell activity is also monitored, providing a more comprehensive understanding of brain function.

Theresia Arbring Sjöström, an assistant professor at LOE, highlighted that glial cells are critical components of the brain’s chemical environment and can be precisely activated using this technology. In experiments conducted on mouse hippocampus tissue slices, it was observed that neurons responded dynamically to changes in ion concentration only after glial cell activity had saturated.

This research has significant implications for neurological disease treatment. The iontronic pipette could potentially be used to develop extremely precise treatments for conditions such as epilepsy, where brain function can be disrupted by localized imbalances in ion concentrations.

Researchers are now continuing their studies on chemical signaling in healthy and diseased brain tissue using the iontronic pipette. They also aim to adapt this technology to deliver medical drugs directly to affected areas of the brain, paving the way for more targeted treatments for neurological disorders.

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Brain Injury

“Resonating with Sound: Study Suggests Our Brains Physically Respond to Music”

Psychologists suggest our brains and bodies don’t just understand music, they physically resonate with it. These discoveries, based on findings in neuroscience, music, and psychology, support Neural Resonance Theory (NRT).

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A groundbreaking study co-authored by McGill psychologist Caroline Palmer has revealed that our brains and bodies don’t just understand music; they physically resonate with it. This revolutionary discovery is based on findings in neuroscience, music, and psychology, supporting the Neural Resonance Theory (NRT).

According to NRT, musical experiences arise from the brain’s natural oscillations that sync with rhythm, melody, and harmony. This resonance shapes our sense of timing, musical pleasure, and the instinct to move with the beat.

“This theory suggests that music is powerful not just because we hear it, but because our brains and bodies become it,” said Palmer, Professor in the Department of Psychology at McGill and Director of the Sequence Production Lab. “That has big implications for therapy, education, and technology.”

The study’s publication in Nature Reviews Neuroscience marks the first time the entire NRT is being published in a single paper, she added.

NRT suggests that structures like pulse and harmony reflect stable resonant patterns in the brain, shared across people independent of their musical background. This theory explains how we hear and produce music through fundamental dynamical principles of human brain mechanisms that apply from the ear to the spinal cord and limb movements.

The study’s findings have significant potential applications:

Therapeutic tools for conditions like stroke, Parkinson’s, and depression

Emotionally intelligent AI that can respond to or generate music more like humans

New learning technologies to support rhythm and pitch education

Cross-cultural insight into why music connects people around the world

The study was led by Edward Large (University of Connecticut) and co-authored by Caroline Palmer. The research received funding from a Canada Research Chair and a NSERC Discovery Grant.

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Behavior

The Adaptive Nature of Object Recognition: How Experience Shapes Our Perception of Reality

New findings suggest neurons have much more functional dexterity than scientists previously realized.

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The human brain has an incredible ability to recognize objects from a very young age. This process involves the visual cortex, which is responsible for processing visual information from the eyes. While it’s been thought that specific neurons along this pathway handle specific types of information depending on their location, new research suggests that feedback connections play a crucial role in object recognition. These connections convey information from higher cortical areas to lower ones, contributing to the dynamic capabilities of the brain.

Studies have shown that even at the first stages of object perception, neurons are sensitive to much more complex visual stimuli than previously believed. This capability is informed by feedback from higher cortical areas, which can adapt moment-to-moment to the information they’re receiving. In fact, researchers have found that a single neuron may be more responsive to one target and with another cue, they’ll be more responsive to a different target.

This adaptive processing allows the brain to dynamically tune its functional properties, changing its specificities with varying sensory experience. The findings of this research have significant implications for our understanding of how we perceive reality and could lead to new insights into the mechanisms underlying brain disorders such as autism.

In fact, researchers are now beginning to investigate animal models of autism at both the behavioral and imaging level. By studying perceptual differences between autism-model mice and their wild-type littermates, scientists hope to identify any cortical circuitry differences that may underlie these differences.

Overall, this research highlights the complex and dynamic nature of object recognition processes in the brain, and how experience shapes our perception of reality. It also underscores the importance of feedback connections in this process and has significant implications for our understanding of brain function and disorders.

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