- ... Model
^{1}
- more
correctly referred to simply as 'linear model'
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- ...
paradigm
^{2}
- choosing components based on
correlation or shared peak frequency response with an assumed evoked
haemodynamic response function often appears to work well for simple
block
paradigms like the one here; for more complicated
paradigms choosing activation
maps becomes a much harder challenge
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- ... level.
^{3}
- Strictly speaking these will be -
distributed, not normal.
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- ... 'activation'
^{4}
- where in this case 'activation' is to be
understood as 'cannot be explained as random correlation coefficient to the
associated time course'
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- ... runs
^{5}
- The
ICA decomposition begins with a random unmixing
matrix and therefore does not necessarily give the same decomposition
every time.
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- ...
Theory
^{6}
- We here compare PICA results against results obtained
from the GLM with GRF-based inference. Cluster-based thresholding
appears to be generally accepted as the method of choice in the case
of reasonably sized and well-localised activation patterns like the
ones used in this example.
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- ... dimensionality
^{7}
- where the ROC analysis
is performed on the
spatial map with highest temporal correlation between the true and
estimated time courses
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