Sparsity enables estimation of both subcortical and cortical activity from MEG and EEG

  title={Sparsity enables estimation of both subcortical and cortical activity from MEG and EEG},
  author={Pavitra Krishnaswamy and Gabriel Obregon-Henao and Jyrki Ahveninen and Sheraz Khan and Behtash Babadi and Juan Eugenio Iglesias and Matti S. H{\"a}m{\"a}l{\"a}inen and Patrick L. Purdon},
  journal={Proceedings of the National Academy of Sciences of the United States of America},
  pages={E10465 - E10474}
Subcortical structures play a critical role in brain function. [] Key Method Building on this insight, we develop a hierarchical sparse inverse solution for M/EEG. We assess the performance of this algorithm on realistic simulations and auditory evoked response data, and show that thalamic and brainstem sources can be correctly estimated in the presence of cortical activity. Our work provides alternative perspectives and tools for characterizing electrophysiological activity in subcortical structures in the…

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