Physiological fluctuations show frequency-specific networks in fNIRS signals during resting state

Raul Fernandez Rojas; Xu Huang; Jesus Hernandez-Juarez; Keng Liang Ou

doi:10.1109/EMBC.2017.8037377

Physiological fluctuations show frequency-specific networks in fNIRS signals during resting state

Raul Fernandez Rojas, Xu Huang, Jesus Hernandez-Juarez, Keng Liang Ou

School of Dentistry

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

14 Citations (Scopus)

Abstract

Physiological fluctuations are commonly present in functional studies of hemodynamic response such as functional magnetic resonance imaging (fMRI) and functional near-infrared spectroscopy (fNIRS). However, the effects of these signals in neural mechanisms are not fully understood. Thus, the aim of this study is to propose that frequency-specific networks exist in the somatosensory region within the frequency range of physiological fluctuations. We used a wavelet coherence approach to identify functional connectivity between cortical regions. Based on the spectral response, four frequency bands were identified: cardiac (0.8-1.5 Hz), respiration (0.16-0.6 Hz), low frequency oscillations (LFO) (0.04-0.15 Hz), and very low frequency oscillations (VLFO) (0.0130.04 Hz). Eight cortical networks were revealed after ipsilateral and contralateral analysis to evaluate connectivity in each frequency band. The ANOVA analysis proved the adequacy of the connectivity map for all frequencies bands. Finally, these findings suggest possible frequency-specific organizations within the frequency bands of physiological fluctuations in the resting human brain.

Original language	English
Title of host publication	2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Subtitle of host publication	Smarter Technology for a Healthier World, EMBC 2017 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2550-2553
Number of pages	4
ISBN (Electronic)	9781509028092
DOIs	https://doi.org/10.1109/EMBC.2017.8037377
Publication status	Published - Sept 13 2017
Event	39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017 - Jeju Island, Korea, Republic of Duration: Jul 11 2017 → Jul 15 2017

Other

Other	39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017
Country/Territory	Korea, Republic of
City	Jeju Island
Period	7/11/17 → 7/15/17

ASJC Scopus subject areas

Signal Processing
Biomedical Engineering
Computer Vision and Pattern Recognition
Health Informatics

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10.1109/EMBC.2017.8037377

Cite this

Fernandez Rojas, R., Huang, X., Hernandez-Juarez, J., & Ou, K. L. (2017). Physiological fluctuations show frequency-specific networks in fNIRS signals during resting state. In 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Smarter Technology for a Healthier World, EMBC 2017 - Proceedings (pp. 2550-2553). Article 8037377 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EMBC.2017.8037377

Physiological fluctuations show frequency-specific networks in fNIRS signals during resting state. / Fernandez Rojas, Raul; Huang, Xu; Hernandez-Juarez, Jesus et al.
2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Smarter Technology for a Healthier World, EMBC 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. p. 2550-2553 8037377.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Fernandez Rojas, R, Huang, X, Hernandez-Juarez, J & Ou, KL 2017, Physiological fluctuations show frequency-specific networks in fNIRS signals during resting state. in 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Smarter Technology for a Healthier World, EMBC 2017 - Proceedings., 8037377, Institute of Electrical and Electronics Engineers Inc., pp. 2550-2553, 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017, Jeju Island, Korea, Republic of, 7/11/17. https://doi.org/10.1109/EMBC.2017.8037377

Fernandez Rojas R, Huang X, Hernandez-Juarez J, Ou KL. Physiological fluctuations show frequency-specific networks in fNIRS signals during resting state. In 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Smarter Technology for a Healthier World, EMBC 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2017. p. 2550-2553. 8037377 doi: 10.1109/EMBC.2017.8037377

Fernandez Rojas, Raul ; Huang, Xu ; Hernandez-Juarez, Jesus et al. / Physiological fluctuations show frequency-specific networks in fNIRS signals during resting state. 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Smarter Technology for a Healthier World, EMBC 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 2550-2553

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abstract = "Physiological fluctuations are commonly present in functional studies of hemodynamic response such as functional magnetic resonance imaging (fMRI) and functional near-infrared spectroscopy (fNIRS). However, the effects of these signals in neural mechanisms are not fully understood. Thus, the aim of this study is to propose that frequency-specific networks exist in the somatosensory region within the frequency range of physiological fluctuations. We used a wavelet coherence approach to identify functional connectivity between cortical regions. Based on the spectral response, four frequency bands were identified: cardiac (0.8-1.5 Hz), respiration (0.16-0.6 Hz), low frequency oscillations (LFO) (0.04-0.15 Hz), and very low frequency oscillations (VLFO) (0.0130.04 Hz). Eight cortical networks were revealed after ipsilateral and contralateral analysis to evaluate connectivity in each frequency band. The ANOVA analysis proved the adequacy of the connectivity map for all frequencies bands. Finally, these findings suggest possible frequency-specific organizations within the frequency bands of physiological fluctuations in the resting human brain.",

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Physiological fluctuations show frequency-specific networks in fNIRS signals during resting state

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