Most statistical methods for assessing activated voxels in fMRI experiments are based on correlation or regression analysis. In this context the main assumptions are that the baseline can be described by a few known basis-functions or variables and that the effect of the stimulus, i.e. the activation, stays constant over time. As these assumptions are
Christoff G�ssl+2 more
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Optimal experimental design for event‐related fMRI
A. M. Dale
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Motion impact score for detecting spurious brain-behavior associations. [PDF]
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ADHD diagnostics and severity assessment using topological manifold learning of resting-state functional magnetic resonance imaging (rs-fMRI). [PDF]
Xue Y, Zhou Y, Na X, Ou X, Liu Y.
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Function in the human connectome: Task-fMRI and individual differences in behavior
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Research trend of functional magnetic resonance imaging in diabetes mellitus research: a visualization and bibliometric analysis. [PDF]
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An fMRI-based neurologic signature of physical pain.
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Evidence for compositionality in fMRI visual representations via Brain Algebra. [PDF]
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Hand classification of fMRI ICA noise components
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Interhemispheric resting-state functional connectivity correlates with spontaneous neural interactions. [PDF]
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