Source Power Maps

• Power is higher in cental regions of the brain
• This is consistent across subjects with and wihout maxfiltering

PCA Oddities

• Things behave generally as expected after the number of ICs in beaforming was corrected.

First PCA components in the maxfiltered data aren't blocky anymore

Eigenspectrum of non-maxfiltered MEG before beamforming

• Drop at ~105 components (102 MEGMAG sensors!)

Eigenspectrum of non-maxfiltered MEG after beamforming

• Drop is at 150 components which is the number that was included for beamforming

Eigenspectrum of maxfiltered data before beamforming

Eigenspectrum of maxfiltered data after beamforming (with 60 PCs)

Which voxels correspond to the first (very high) PCs?

Not maxfiltered - 1st PC

Not maxfiltered - 2nd PC

• visual :)

Not maxfiltered - 3rd PC

Free Energy

EEG

MEG

MEG elife

HMM and microstate topologies

• Look messy

EEG HMM states

(preliminary)

EEG microstates

…nothing new yet…

HMM and microstate time scale analysis

• Sliding window approach for fractional occupancy on HMM time course, then correlation with envelope (like Baker2014).
• Scale invariance.