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Prefiltering based on experimental paradigm for analysis of fMRI complex brain networks

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  • Salvador Jiménez
  • Laura Rotger
  • Carlos Aguirre
  • Alberto Muñoz
  • Sergio Granados
  • Jesús Tornero

Abstract

Brain networks offers a new insight about connections between function and anatomical regions of human brain. We present results from brain networks built from functional magnetic resonance images during finger tapping paradigm. Pearson voxel-voxel correlation in time and frequency domains were performed for all subjects. Besides this standard framework we have implemented a new approach consisting in filtering the data with respect to the fMRI paradigm (finger tapping) in order to obtain a better understanding of the network involved in the execution of the task. The main topological graph measures have been compared in both cases: voxel-voxel correlation and voxel-paradigm filtering plus voxel-voxel correlation. With the standard voxel-voxel correlation a clearly free-scale network was obtained. On the other hand, when we prefiltered the paradigm we obtained two different kind of networks: 1) free-scale; 2) random-like. To our best knowledge, this behaviour is reported here for first time for brain networks. We suggest that paradigm signal prefiltering can provide more infomation about the brain networks.

Suggested Citation

  • Salvador Jiménez & Laura Rotger & Carlos Aguirre & Alberto Muñoz & Sergio Granados & Jesús Tornero, 2020. "Prefiltering based on experimental paradigm for analysis of fMRI complex brain networks," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-13, October.
    • Handle: RePEc:plo:pone00:0238994
    DOI: 10.1371/journal.pone.0238994
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