Probabilistic modelling of functional modes in the human brain
It is well established that it is possible to observe spontaneous, highly structured fluctuations in human brain activity from functional magnetic resonance imaging (fMRI) data when the subject is 'at rest'. This activity can be decomposed into groups of spatially distributed brain regions that are consistently temporally co- activated, and this thesis is concerned with developing new methods to identify these functional modes.
We introduce a probabilistic model that allows us to in...Expand abstract
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- University of Oxford
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