- Abstract:
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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...
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- Department:
- FMRIB Centre
- Role:
- Supervisor
- Department:
- OHBA
- Role:
- Supervisor
- Grant:
- EP/F500394/1
- Funding agency for:
- Project
- Type of award:
- DPhil
- Level of award:
- Doctoral
- Awarding institution:
- University of Oxford
- Copyright date:
- 2016
Thesis
Probabilistic modelling of functional modes in the human brain
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Authors
Contributors
+ Steve Smith
+ Mark Woolrich
Funding
+ Engineering & Physical Sciences Research Council
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