Dr. Yves Agid from the ICM Paris Institute of Translational Neuroscience lectured at KAUST's 2018 Winter Enrichment Program about the role of glial cells in brain function and behavior. He highlighted that glial cells, often overlooked in research, are crucial for neural synchronization and overall intelligence. Dysfunction of glial cells can induce pathologies like Alzheimer's and Parkinson's disease. Why it matters: The lecture underscored the importance of studying glial cells in addition to neurons for understanding and treating neurodegenerative disorders, which could influence future research directions at KAUST and in the region.
KAUST master's student José Ilton de Oliveira Filho won first place at the IEEE International Sensors and Measurement Systems Student Contest for his smart bracelet and gesture-capturer designed for people with Parkinson's disease. The bracelet assists users in basic activities and creates a database for tracking the disease's involuntary tremors. The bracelet can also control smart TVs and enable smoother application navigation. Why it matters: This project demonstrates KAUST's commitment to developing innovative technologies that address real-world healthcare challenges and improve the quality of life for individuals with special needs.
KAUST held its first Enrichment in the Spring (SEP) program from March 20–28, focusing on the human brain and mind, coinciding with Brain Awareness Week. The program featured lectures from neuroscientists like Professor Alim-Louis Benabid, and presentations by KAUST's Ali Awami and Corrado Cali on visualization technology for studying the brain. KAUST researchers are collaborating with the Human Brain Project and Harvard University to develop comprehensive brain models and visualize connectome data. Why it matters: This initiative highlights KAUST's commitment to advancing neuroscience research and fostering interdisciplinary collaborations to understand the complexities of the human brain.
KAUST researchers collaborated with the Blue Brain Project to study astrocytes, brain cells crucial for memory and learning. Dr. Corrado Calì produced 3D models of astrocytes using serial block-face electron microscopy to understand their structure. The study, published in Progress in Neurobiology, reveals how lactate transfer from astrocytes to neurons contributes to brain energy usage. Why it matters: Understanding astrocyte function could lead to new drugs for treating conditions like stroke and Alzheimer's disease by improving brain cell function.
Margaret Livingstone, a neurobiology professor at Harvard Medical School, lectured at KAUST's Winter Enrichment Program 2018 on how art can reveal insights into the human brain. She discussed how artists have long understood the independent roles of color and luminance in visual perception. Livingstone highlighted examples from Picasso, Monet, and Warhol to illustrate how artists manipulate visual cues. Why it matters: This interdisciplinary approach can potentially lead to new understandings of how the brain processes visual information and inform advances in both neuroscience and art.
KAUST Discovery highlights the contributions of Magistretti to the field of neuroenergetics. His research explores the cellular and molecular basis of brain energy metabolism and brain imaging. Magistretti's group discovered mechanisms underlying the coupling between neuronal activity and energy consumption, revealing the role of astrocytes. Why it matters: Understanding brain energy metabolism and the role of glial cells can advance brain imaging techniques and our understanding of neuronal processes.
A senior lecturer at the University of New South Wales discussed the use of AI to improve early prognosis and personalized treatment plans for neurodegenerative diseases, cardiovascular imaging and multiomics. The lecture highlighted the potential of AI algorithms to detect subtle changes at early stages through advanced multiomics techniques and medical imaging analysis. The speaker has expertise in analyzing medical images and has collaborated with medical professionals to develop AI tools for diagnosis of cancer, neurodegenerative disease, and heart disease. Why it matters: AI-driven prognosis and treatment planning promises earlier intervention and improved outcomes for challenging diseases in the region.
MBZUAI valedictorian Salma Hassan developed a multimodal graph learning approach for early dementia diagnosis and prognosis. Her master's thesis focused on differential diagnosis to identify specific dementia subtypes and predicting cognitive decline in preclinical patients. The AI model leverages brain imaging, genetics, and clinical records to improve diagnostic accuracy. Why it matters: This research can improve early detection and resource allocation for dementia management, especially in developing countries.