Analyzing the resting state functional connectivity in the human language system using near infrared spectroscopy

@inproceedings{Molavi2013AnalyzingTR,
  title={Analyzing the resting state functional connectivity in the human language system using near infrared spectroscopy},
  author={Behnam Molavi and Lillian May and Judit Gervain and Manuel Carreiras and Janet F. Werker and Guy Albert Dumont},
  booktitle={Front. Hum. Neurosci.},
  year={2013}
}
We have evaluated the use of phase synchronization to identify resting state functional connectivity (RSFC) in the language system in infants using functional near infrared spectroscopy (fNIRS). We used joint probability distribution of phase between fNIRS channels with a seed channel in the language area to estimate phase relations and to identify the language system network. Our results indicate the feasibility of this method in identifying the language system. The connectivity maps are… CONTINUE READING

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Citation: Molavi B, May L, Gervain J, Carreiras M, Werker JF and Dumont GA (2014) Analyzing the resting state functional connectivity in the human language system using near infrared spectroscopy

  • January
  • Front. Hum. Neurosci. 7:921. doi: 10.3389/fnhum…
  • 2014
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This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums

  • Molavi, May, Gervain, Carreiras, Werker, Dumont
  • 2014

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