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Abstract
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| Understanding the brain is one of the greatest challenges of our time. This understanding would provide new techniques for diagnosis and treatment of brain diseases. Dendritic surfaces of pyramidal cells (the most common neuron in the cerebral cortex) are covered by small protrusions named dendritic spines. These represent the targets of most excitatory synapses in the cerebral cortex and therefore, dendritic spines prove critical in learning, memory and cognition; moreover, loss or alteration of these structures has been described in the pathogenesis of major neurological disorders such as Alzheimer's disease. Recent studies also suggest selective alterations in spines with aging in humans. For those reasons, it seems reasonable to think that spatial distribution could be related in some way to spine interaction. Our goal is the development of techniques that allow us to exploit the capabilities offered by Bayesian networks, using them with elements of spatial statistics, to study this spatial distribution of dendritic spines. With this, we hope we could help to answer questions about brain function. | |
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International
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Si |
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Congress
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14th Conference on Artificial Intelligence in Medicine (AIME 2013) Doctoral Consortium |
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960 |
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Place
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Murcia |
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Reviewers
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Si |
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ISBN/ISSN
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Start Date
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29/05/2013 |
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End Date
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01/06/2013 |
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From page
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45 |
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To page
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53 |
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14th Conference on Artificial Intelligence in Medicine |