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Artificial intelligence models using F-wave responses predict ALS
Chen Scholar, Nathan P. Staff, M.D., Ph.D. a Professor of Neurology at the Mayo Clinic College of Medicine and Science, and colleagues recently published research in the journal Brain which focuses on improving the diagnosis and prognosis of amyotrophic lateral sclerosis (ALS), a severe motor neuron disease, using advanced artificial intelligence (AI) techniques. ALS is […]
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Chen Institute Hosts World-leading Experts for Two-Day Meeting on FUS Neuromodulation
Group discusses promising areas for breakthroughs in the non-invasive technology. On January 9-10, the Chen Institute hosted leaders in the field of Focused Ultrasound (FUS) for an invitation-only meeting centered on the current state and future potential of FUS neuromodulation. During the meeting, attendees discussed some of the latest advances and explored the collective, potential […]
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How Different Learning Modes May Explain Problem Gambling
Caltech’s John O’Doherty is on a quest to understand how human brains make decisions: how they gather evidence about their environments and their own impacts on these environments and then apply this information to their decision-making. Researchers in his lab examine subjects to find how brains learn from positive and negative feedback, and why some […]
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Thinking Slowly: The Paradoxical Slowness of Human Behavior
Caltech researchers have quantified the speed of human thought: a rate of 10 bits per second. However, our bodies’ sensory systems gather data about our environments at a rate of a trillion bits per second, which is 100 million times faster than our thought processes. This new study raises major new avenues of exploration for […]
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Improving Brain–Machine Interfaces with Machine Learning
Brain–machine interfaces (BMIs) have enabled a handful of test participants who are unable to move or speak to communicate simply by thinking. An implanted device picks up the neural signals associated with a particular thought and converts them into control signals that are fed into a computer or a robotic limb. For example, a quadriplegic […]
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New Study Demonstrates How Autonomic Neurons Control Digestive Functions
The autonomic nervous system orchestrates the functions of internal organs such as the heart and gut, serving as a connection between the brain and the rest of the body. It is classified in two divisions—the sympathetic and parasympathetic systems, often described as the body’s accelerator and brake, respectively. For example, the sympathetic nervous system activates […]
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Transforming Neurological Care in 30 Seconds with QDG Health
Summary QDG Health, developed by Dr. Helen Bronte-Stewart at Stanford, introduces Quantitative Digitography (QDG), a 30-second finger-tapping test using the KeyDuo device to remotely monitor Parkinson’s disease (PD) symptoms. Its AI-driven PRECISE algorithm translates movement data into validated motor biomarkers, tracking tremors, rigidity, and bradykinesia with high accuracy. The system enables real-time symptom monitoring, medication […]
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Revolutionizing ADHD Treatment Through Neuromonitoring Guided Working Memory Interventions
Summary A recent Stanford University study published in iScience explores a neuromonitoring-guided working memory intervention for children with ADHD. Traditional treatments often fail to address ADHD’s neural mechanisms, but this research integrates real-time functional near-infrared spectroscopy (fNIRS) with cognitive training and neurofeedback to enhance working memory (WM) networks. In a randomized trial, children in the […]
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Chen Institute Launches AI Talent Initiative to Find Global Leaders in “AI for Science”
The Tianqiao and Chrissy Chen Institute has unveiled its AI Talent Initiative, an ambitious program aimed at finding and fostering future leaders in AI-driven scientific research. This initiative offers a unique platform for aspiring talent to push the boundaries of research, collaborating with some of the world’s top scientists to advance the deep integration of […]