MEG

Magnetoencephalography at the CCNi

Spectral fingerprints framework

Characterising oscillatory activity

Within the spectral fingerprints framework, we aim to characterise oscillatory activity in the human brain. In short, we have been able to show that each anatomical brain area engages in different spectral modes that are characteristic and can be used for automatic classification.

  SpecProf_STG

 

 

 

 

 

 

 

The corresponding publication can be downloaded here (open access).

Further resources:
You can download the matlab-based script (beta version) and a zip-file including clean data, LCMV weights, a source template, and the optimal number of clusters for these data (the file is ~4.6 GB large).
The license for the script can be downloaded here.

Research Spectral Fingerprints