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REU Week 3

REU Week 3. Nancy Zanaty , UCF . Problem. To classify ADHD brains from normal brains using fMRI analysis. . Background. Functional connectome - Map of brain’s functional neural system

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REU Week 3

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  1. REU Week 3 Nancy Zanaty, UCF

  2. Problem • To classify ADHD brains from normal brains using fMRI analysis.

  3. Background • Functional connectome- Map of brain’s functional neural system • Connectome architecture is common across most individuals but with unique features with different patterns and strengths • 60-80% of all energy used by brain occurs in circuits unrelated to any event

  4. fMRI • Images capture the brains functionality. Focuses on the resting state (default mode network) • Frequency of BOLD ( Blood-oxygen-dependence-level)fluctuations in brain activity • Generates image of voxels(3-d pixels) • Resting brain images show fluctuations in fMRI signal that are correlated across functionally-related areas

  5. Analysis of images • Result of fMRI scan placed into statistical map which indicates the points activated in the brain • Problem: Low resolution, noise, interference of non-functional activity such as head movement, and other physiological factors • Analysis used to correct for this and find the most significant regions of activation

  6. Methods/Results:Data placed into SVM model

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