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This dissertation by Anders Eklund focuses on computational medical image analysis with an emphasis on real-time functional magnetic resonance imaging (fMRI) and statistical methods. The work presents methods for real-time fMRI, which is crucial for interactive brain mapping and brain-computer interfaces. It also covers statistical approaches for fMRI analysis, including random permutation tests to calculate significance thresholds and p-values. The dissertation aims to improve the understanding of brain function and assist in clinical applications, such as planning surgeries and brain activity control. The intended audience includes biomedical engineers, neurologists, psychologists, and researchers in medical imaging.
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