Individual Human Brain Areas Can Be Identified from Their Characteristic Spectral Activation Fingerprints

@inproceedings{Keitel2016IndividualHB,
  title={Individual Human Brain Areas Can Be Identified from Their Characteristic Spectral Activation Fingerprints},
  author={Anne Keitel and Joachim Gross},
  booktitle={PLoS biology},
  year={2016}
}
The human brain can be parcellated into diverse anatomical areas. We investigated whether rhythmic brain activity in these areas is characteristic and can be used for automatic classification. To this end, resting-state MEG data of 22 healthy adults was analysed. Power spectra of 1-s long data segments for atlas-defined brain areas were clustered into spectral profiles ("fingerprints"), using k-means and Gaussian mixture (GM) modelling. We demonstrate that individual areas can be identified… CONTINUE READING
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