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Biomedical Optics Express

Biomedical Optics Express

  • Editor: Joseph A. Izatt
  • Vol. 4, Iss. 11 — Nov. 1, 2013
  • pp: 2629–2643

Combining independent component analysis and Granger causality to investigate brain network dynamics with fNIRS measurements

Zhen Yuan  »View Author Affiliations

Biomedical Optics Express, Vol. 4, Issue 11, pp. 2629-2643 (2013)

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In this study a new strategy that combines Granger causality mapping (GCM) and independent component analysis (ICA) is proposed to reveal complex neural network dynamics underlying cognitive processes using functional near infrared spectroscopy (fNIRS) measurements. The GCM-ICA algorithm implements the following two procedures: (i) extraction of the region of interests (ROIs) of cortical activations by ICA, and (ii) estimation of the direct causal influences in local brain networks using Granger causality among voxels of ROIs. Our results show that the use of GCM in conjunction with ICA is able to effectively identify the directional brain network dynamics in time-frequency domain based on fNIRS recordings.

© 2013 Optical Society of America

OCIS Codes
(170.0170) Medical optics and biotechnology : Medical optics and biotechnology
(300.0300) Spectroscopy : Spectroscopy
(100.4996) Image processing : Pattern recognition, neural networks

ToC Category:
Image Processing

Original Manuscript: September 16, 2013
Revised Manuscript: October 20, 2013
Manuscript Accepted: October 21, 2013
Published: October 25, 2013

Zhen Yuan, "Combining independent component analysis and Granger causality to investigate brain network dynamics with fNIRS measurements," Biomed. Opt. Express 4, 2629-2643 (2013)

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